Tipo	Fecha de la contribución	Estudiante/s	Cita completa		Indicadores de calidad
Artículo Revista	2026	Emilio López Varela	E. López-Varela, N. Barreira, N. Olivier, J. Quezada-Sánchez, C. Oreja-Guevara, J. Rouco, "Detecting, characterizing and visualizing multiple sclerosis in optical coherence tomography through biomarker selection", Biocybernetics and Biomedical Engineering, 46, 188-201, Elsevier, ISSN: 0208-5216, https://doi.org/10.1016/j.bbe.2026.01.005, 2026.		Q1
Artículo Revista	2025	Emilio López Varela	E. López-Varela, N. Olivier, J. Quezada-Sánchez, C. Oreja-Guevara, E. Santos, N. Barreira, "Enhanced multiple sclerosis diagnosis using high-resolution 3D OCT volumes with synthetic slices", Pattern Recognition Letters, 189, 99-105, ELSEVIER , ISSN: 0167-8655, 10.1016/J.PATREC.2025.01.011, 2025.		Q2
Artículo Revista	2024	Emilio López Varela	E. López-Varela, N. Olivier, J. Quezada-Sánchez, C. Oreja-Guevara, N. Barreira, "Efficient semi-supervised hierarchical training for segmenting choroidal vessels and other structures on OCT images of multiple sclerosis patients", Biomedical Signal Processing and Control, 100, Elsevier, ISSN: 1746-8094, https://doi.org/10.1016/j.bspc.2024.106937, 2024.		Q1
Artículo Revista	2024	Emilio López Varela	E. López-Varela, J. de Moura, J. Novo, J. I. Fernández-Vigo, Javier Moreno Morillo, J. García-Feijóo, M. Ortega, "Evolutionary multi-target neural network architectures for flow void analysis in optical coherence tomography angiography", Applied Soft Computing, 153, 111304, Elsevier, ISSN: 1568-4946, 10.1016/j.asoc.2024.111304, 2024.		Q1
Artículo Revista	2023	Emilio López Varela	E. López-Varela, N. Barreira, N. Olivier, R. Arroyo, M. G. Penedo, "Generation of synthetic intermediate slices in 3D OCT cubes for improving pathology detection and monitoring", Computers in Biology and Medicine, Elsevier, ISSN: 0010-4825, 10.1016/j.compbiomed.2023.107214, 2023.		Q1
Artículo Revista	2023	Emilio López Varela	E. López-Varela, J. de Moura, J. Novo, J. I. Fernández-Vigo, Javier Moreno Morillo, M. Ortega, "Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images", Computerized Medical Imaging and Graphics, 104, 102172, Elsevier Ltd, ISSN: 0895-6111, 10.1016/j.compmedimag.2022.102172, 2023.		Q1
Artículo Revista	2022	Emilio López Varela	E. López-Varela, P. L. Vidal, N. Olivier, J. Novo, M. Ortega, "Fully-automatic 3D intuitive visualization of Age-related Macular degeneration fluid accumulations in OCT cubes", Journal of Digital Imaging, Springer, ISSN: 0897-1889, 10.1007/s10278-022-00643-6, 2022.		Q1
Artículo Revista	2022	Emilio López Varela	J. I. Fernández-Vigo, Javier Moreno Morillo, M. Ortega, E. López-Varela, J. Novo, B. Burgos-Blasco, Lorenzo López Guajardo, J. García-Feijóo, Juan Donate López, "Early changes in choriocapillaris flow voids as an efficacy biomarker of photodynamic therapy in central serous chorioretinopathy", Photodiagnosis and Photodynamic Therapy, 38, 102862, Elsevier, ISSN: 1572-1000, 10.1016/j.pdpdt.2022.102862, 2022.		Q3
Artículo Revista	2022	Emilio López Varela	J. I. Fernández-Vigo, Javier Moreno Morillo, E. López-Varela, J. Novo, M. Ortega, B. Burgos-Blasco, Lorenzo López Guajardo, Juan Donate López, "Repeatability of choriocapillaris flow voids by optical coherence tomography angiography in central serous chorioretinopathy", Plos One, 17, e0279243, Plos, ISSN: 1932-6203, 10.1371/journal.pone.0279243, 2022.		Q2
International Conference	2022	Emilio López Varela	Estefanía Rivas Vázquez, N. Barreira, E. López-Varela, M. G. Penedo, "Deep Learning for Segmentation of Optic Disc and Retinal Layers in Peripapillary Optical Coherence Tomography Images", 15th International Conference on Machine Vision - ICMV-2022, 15th International Conference on Machine Vision - ICMV-2022, 18/11/2022-20/11/2022, Rome, Italy, 2022.		CORE C
International Conference	2022	Emilio López Varela	E. López-Varela, N. Barreira, N. Olivier, Emma Garcia Ben, Sara Rubio Cid, M. G. Penedo, "Fully automatic segmentation of the choroid in non-EDI OCT images of patients with multiple sclerosis", 26th International Conference on Knowledge Based and Intelligent information and Engineering Systems - KES-2022, 207, 726-735, Elsevier, ISSN: 1877-0509, https://doi.org/10.1016/j.procs.2022.09.128, 26th International Conference on Knowledge Based and Intelligent information and Engineering Systems - KES-2022, 07/09/2022-09/09/2022, Verona, Italy, 2022.		CORE B, GGS3
International Conference	2022	Emilio López Varela	E. López-Varela, J. Novo, J. I. Fernández-Vigo, Javier Moreno Morillo, M. Ortega, "Unsupervised deformable image registration in a landmark scarcity scenario: choroid OCTA", 21st International Conference on Image Analysis and Processing - ICIAP 2021, 13231, 89-99, Springer Nature, ISBN: 978-3-031-06427-2, 10.1007/978-3-031-06427-2_8, 21st International Conference on Image Analysis and Processing - ICIAP 2021, 23/05/2022 - 27/05/2022, Lecce, Italy, May 2022.		GGS 3, GGS Rating B
National Conference	2023	Emilio López Varela	E. López-Varela, N. Barreira, N. Olivier, J. Quezada-Sánchez, C. Oreja-Guevara, "Visualization of pathological changes in retinal layer thickness using optical coherence tomography", BioIntegraSaúde (BIS 2023), BioIntegraSaúde (BIS 2023), 14/12/2023 - 14/12/2023, A Coruña, December 2023.
National Conference	2023	Emilio López Varela	E. López-Varela, N. Barreira, N. Olivier, M. G. Penedo, "Enhancing pathological detection and monitoring in OCT volumes with limited slices using convolutional neural networks and 3D visualization techniques", 6th XoveTIC Conference, 6th XoveTIC Conference, 05/10/2023 - 06/10/2023, A Coruña - Spain, 2023.
National Conference	2023	Emilio López Varela	E. López-Varela, N. Barreira, N. Olivier, Emma Garcia Ben, Sara Rubio Cid, M. G. Penedo, "Choroid segmentation in non-EDI OCT images of multiple sclerosis patients", Kalpa Publications in Computing, 14, 10–13, Kalpa Publications in Computing, ISSN: 2515-1762, 10.29007/8q52, 5th XoveTIC Conference, A Coruña - Spain, 2022, 05/10/2022-06/10/2022, A Coruña, 2023.
National Conference	2022	Emilio López Varela	J. I. Fernández-Vigo, Javier Moreno Morillo, E. López-Varela, J. Novo, "Reproducibilidad de la medida de los vacíos de flujo en la coriocapilar mediante OCTA en la coriorretinopatía serosa central", 98 Congreso de la Sociedad Española de Oftalmología (SEO) - 2022, CL54, 98 Congreso de la Sociedad Española de Oftalmología (SEO) - 2022, 21/09/2022-24/09/2022, Pamplona - España, 2022.
National Conference	2022	Emilio López Varela	J. I. Fernández-Vigo, Javier Moreno Morillo, E. López-Varela, J. Novo, Lorenzo López Guajardo, "Repetibilidad de la medida de los vacíos de flujo en la coriocapilar mediante angiografía por tomografía de coherencia óptica en la coriorretinopatía serosa central ", Reunión Anual de la Sociedad Oftalmológica de Madrid - SOM'2021, Reunión Anual de la Sociedad Oftalmológica de Madrid - SOM'2021, 17/12/2021, Madrid, Spain, December 2021.
National Conference	2021	Emilio López Varela	J. I. Fernández-Vigo, Javier Moreno Morillo, E. López-Varela, M. Ortega, Juan Donate López, "Cambios precoces en la vascularización coriocapilar como biomarcador de eficacia de la terapia fotodinámica en la coriorretinopatía serosa central", Reunión Anual de la Sociedad Oftalmológica de Madrid - SOM'2021, Reunión Anual de la Sociedad Oftalmológica de Madrid - SOM'2021, 17/12/2021, Madrid, Spain, December 2021.
Artículo Revista	2024	David Rivas Villar	J. Figueroa, D. Rivas-Villar, J. Rouco, J. Novo, "Phytoplankton detection and recognition in freshwater digital microscopy images using deep learning object detectors", Heliyon, 10(3) e25367, 1-16, 2024.
Artículo Revista	2024	David Rivas Villar	D. Rivas-Villar, A. S. Hervella, J. Rouco, J. Novo, "ConKeD: Multiview contrastive descriptor learning for keypoint-based retinal image registration", Medical & Biological Engineering and Computing, 1-16, Springer, ISSN: 1741-0444, 10.1007/s11517-024-03160-6, 2024.		Q2
Artículo Revista	2023	David Rivas Villar	D. Rivas-Villar, A. R. Motschi, M. Pircher, C. K. Hitzenberger, M. Schranz, P. K. Roberts, U. Schmidt-Erfurth, H. Bogunović, "Automated Inter-Device 3D OCT Image Registration using Deep Learning and Retinal Layer Segmentation", Biomedical Optics Express, 14, 3726--3747, 10.1364/BOE.493047, 2023.		Q2
Artículo Revista	2023	David Rivas Villar	D. Rivas-Villar, A. S. Hervella, J. Rouco, J. Novo, "Joint keypoint detection and description network for color fundus image registration", Quantitative Imaging in Medicine and Surgery, 13, No. 7, 4540-4562, 10.21037/qims-23-4, 2023.		Q2
Artículo Revista	2022	David Rivas Villar	D. Rivas-Villar, A. S. Hervella, J. Rouco, J. Novo, "Color fundus image registration using a learning-based domain-specific landmark detection methodology", Computers in Biology and Medicine, 140, Elsevier, ISSN: 0010-4825, https://doi.org/10.1016/j.compbiomed.2021.105101, 2022.		Q1
Artículo Revista	2021	David Rivas Villar	D. Rivas-Villar, J. Rouco, M. G. Penedo, R. Carballeira, J. Novo, "Fully automatic detection and classification of phytoplankton specimens in digital microscopy images", Computer Methods and Programs in Biomedicine, 200, 105923, Elsevier, ISSN: 0169-2607, https://doi.org/10.1016/j.cmpb.2020.105923, 2021.		Q1
Artículo Revista	2020	David Rivas Villar	D. Rivas-Villar, J. Rouco, M. G. Penedo, R. Carballeira, J. Novo, "Automatic Detection of Fresh-water Phytoplankton Specimens in Conventional Microscopy Images", Sensors, 20, MDPI, ISSN: 1424-8220, https://doi.org/10.3390/s20226704, 2020.		Q1
International Conference	2023	David Rivas Villar	J. Morano, D. Rivas-Villar, A. S. Hervella, J. Rouco, J. Novo, "Impact of increased centerline weight on the joint segmentation and classification of arteries and veins in color fundus images", Lecture Notes in Computer Science: Computer Aided Systems Theory, Revised Selected Papers, EUROCAST 2022, Las Palmas de Gran Canaria, Spain, 2023.		Lecture Notes in Computer Science: Computer Aided Systems Theory, Revised Selected Papers
International Conference	2023	David Rivas Villar	D. Rivas-Villar, J. Morano, J. Rouco, J. Novo, "Deep Features-based approaches for Phytoplankton Classification in Microscopy Images", Lecture Notes in Computer Science: Computer Aided Systems Theory, Revised Selected Papers, EUROCAST 2022, Las Palmas de Gran Canaria, Spain, 2023.		Lecture Notes in Computer Science: Computer Aided Systems Theory, Revised Selected Papers
International Conference	2022	David Rivas Villar	J. Morano, D. Rivas-Villar, A. S. Hervella, J. Rouco, J. Novo, "Impact of increased centerline weight on the joint segmentation and classification of arteries and veins in color fundus images", 18th International Conference on Computer Aided Systems Theory - Eurocast'22, Las Palmas de Gran Canaria, Spain, 2022.
International Conference	2022	David Rivas Villar	D. Rivas-Villar, J. Morano, J. Rouco, M. G. Penedo, J. Novo, "Deep Features-based approaches for Phytoplankton Classification in Microscopy Images", 18th International Conference on Computer Aided Systems Theory - Eurocast'22, Las Palmas de Gran Canaria, Spain, 2022.
National Conference	2023	David Rivas Villar	D. Rivas-Villar, A. S. Hervella, J. Rouco, J. Novo, "ConKeD: Descriptor learning for keypoint-based retinal image registration through a novel multiview contrastive approach", BioIntegraSaúde (BIS 2023), A Coruña, Spain, 2023., 2023.
National Conference	2022	David Rivas Villar	D. Rivas-Villar, A. S. Hervella, J. Rouco, J. Novo, "Deep learning-based detection of domain-specific retinal landmarks for color fundus image registration", 5th XoveTIC Conference, 143-145, A Coruña - Spain, 2022.
National Conference	2021	David Rivas Villar	D. Rivas-Villar, J. Rouco, R. Carballeira, M. G. Penedo, J. Novo, "Automatic Pipeline for Detection and Classification of Phytoplankton Specimens in Digital Microscopy Images of Freshwater Samples", 4th XoveTIC Conference, A Coruña, 2021.
Artículo Revista	2025	Daniel Iglesias Morís	D. I. Morís, J. de Moura, E. Carmona, J. Novo, M. Ortega, "Semantic-Guided Generative Latent Diffusion Augmentation Approaches for Improving the Neovascularization Diagnosis in OCT-A Imaging", Pattern Recognition Letters, 189, 31-37, Elsevier Ltd, ISSN: 0167-8655, https://doi.org/10.1016/j.patrec.2025.01.003, 2025		Q2
Artículo Revista	2024	Daniel Iglesias Morís	D. I. Morís, J. de Moura, J. Novo, M. Ortega, "Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images", Medical & Biological Engineering & Computing, Elsevier, ISSN: 0140-0118, 10.1007/s11517-024-03056-5, 2024.		Q2
Artículo Revista	2024	Daniel Iglesias Morís	D. I. Morís, J. de Moura, P. J. Marcos, E. Míguez-Rey, J. Novo, M. Ortega, "Efficient Clinical Decision-Making Process via AI-Based Multimodal Data Fusion: A COVID-19 Case Study", Heliyon, 10 (20), e38642, Cell Press, ISSN: 2405-8440, 10.1016/j.heliyon.2024.e38642, 2024.		Q1
Artículo Revista	2023	Daniel Iglesias Morís	D. I. Morís, A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Context Encoder Transfer Learning Approaches For Retinal Image Analysis", Computers in Biology and Medicine, 152, 106451, Elsevier, ISSN: 0010-4825, 10.1016/j.compbiomed.2022.106451, 2023.		Q1
Artículo Revista	2023	Daniel Iglesias Morís	D. I. Morís, J. de Moura, P. J. Marcos, E. Míguez-Rey, J. Novo, M. Ortega, "Comprehensive Analysis of Clinical Data for COVID-19 Outcome Estimation with Machine Learning Models", Biomedical Signal Processing and Control, 84, 104818, Elsevier Ltd, ISSN: 1746-8094, 10.1016/j.bspc.2023.104818, 2023.		Q1
Artículo Revista	2022	Daniel Iglesias Morís	D. I. Morís, J. de Moura, J. Novo, M. Ortega, "Unsupervised Contrastive Unpaired Image Generation Approach for Improving Tuberculosis Screening using Chest X-ray Images", Pattern Recognition Letters, Elsevier, 10.1016/j.patrec.2022.10.026, Pattern Recognition Letters, 2022.		Q2
Artículo Revista	2021	Daniel Iglesias Morís	D. I. Morís, J. de Moura, J. Novo, M. Ortega, "Data Augmentation Approaches using Cycle-Consistent Adversarial Networks for Improving COVID-19 Screening in Portable Chest X-ray Images", Expert Systems With Applications, 185, 115681, Elsevier, ISSN: 0957-4174, 10.1016/j.eswa.2021.115681, 2021.		Q1
Capítulo Libro	2022	Daniel Iglesias Morís	D. I. Morís, J. de Moura, J. Novo, M. Ortega, "Generation of Novel Synthetic Portable Chest X-ray Images for the Automatic COVID-19 Screening", AI Applications for Disease Diagnosis and Treatment, 248-281, IGI Global, ISBN: 1668423049, 10.4018/978-1-6684-2304-2.ch008, 2022.
International Conference	2023	Daniel Iglesias Morís	D. I. Morís, J. de Moura, J. Novo, M. Ortega, "Deep Features Analysis in a Transfer Learning Approach for the Automatic COVID-19 Screening using Chest X-ray Images", Procedia Computer Science, 225, 228-237, Elsevier, ISSN: 1877-0509, https://doi.org/10.1016/j.procs.2023.10.007, 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES'23), 06/09/2023 - 08/09/2023, Atenas, Grecia, 2023.		CORE B
International Conference	2023	Daniel Iglesias Morís	D. Olañeta, D. I. Morís, J. de Moura, P. J. Marcos, E. Míguez-Rey, J. Novo, M. Ortega, "Explainable learning to analyze the outcome of COVID-19 patients using clinical data", Procedia Computer Science, 225, 238-247, Elsevier, ISSN: 1877-0509, https://doi.org/10.1016/j.procs.2023.10.008, 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES'23), 06/09/2023 - 08/09/2023, Atenas, Grecia, 2023.		CORE B
International Conference	2022	Daniel Iglesias Morís	M. Gende, D. I. Morís, J. de Moura, J. Novo, M. Ortega, "Impact of the Region of Analysis on the Performance of the Automatic Epiretinal Membrane Segmentation in OCT Images", 18th International Conference on Computer Aided Systems Theory - Eurocast'22, 106-107, IUCTC Universidad de Las Palmas de Gran Canaria, ISBN: 978-84-09-38381-8, 18th International Conference on Computer Aided Systems Theory - Eurocast'22, 21/02/2022 - 25/02/2022, Las Palmas de Gran Canaria, Spain, February 2022.
International Conference	2022	Daniel Iglesias Morís	M. Gende, D. I. Morís, J. de Moura, J. Novo, M. Ortega, "Impact of the Region of Analysis on the Performance of the Automatic Epiretinal Membrane Segmentation in OCT Images", Lecture Notes in Computer Science: Computer Aided Systems Theory, Revised Selected Papers, EUROCAST 2022, 13789, 395–402, 10.1007/978-3-031-25312-6_46, 18th International Conference on Computer Aided Systems Theory - Eurocast'22, Las Palmas de Gran Canaria, Spain, 2023.		Lecture Notes in Computer Science: Computer Aided Systems Theory, Revised Selected Papers,
International Conference	2022	Daniel Iglesias Morís	D. I. Morís, M. Gende, J. de Moura, J. Novo, M. Ortega, "Performance analysis of GAN approaches in the portable chest X-ray synthetic image generation for COVID-19 screening", 18th International Conference on Computer Aided Systems Theory - EUROCAST'22, 108-109, IUCTC Universidad de Las Palmas de Gran Canaria, ISBN: 978-84-09-38381-8, 18th International Conference on Computer Aided Systems Theory - EUROCAST'22, 20/02/2022-25/02/2022, Las Palmas de Gran Canaria, Spain, 2022.
International Conference	2022	Daniel Iglesias Morís	D. I. Morís, M. Gende, J. de Moura, J. Novo, M. Ortega, "Performance analysis of GAN approaches in the portable chest X-ray synthetic image generation for COVID-19 screening", Lecture Notes in Computer Science: Computer Aided Systems Theory, Revised Selected Papers, EUROCAST 2022, 13789, 403 - 410, Springer, ISBN: 978-3-031-25312-6, 10.1007/978-3-031-25312-6_47, Eurocast 2022, 20/02/2022 - 25/02/2022, Las Palmas de Gran Canaria, Spain, 2023.		Lecture Notes in Computer Science: Computer Aided Systems Theory, Revised Selected Papers
International Conference	2021	Daniel Iglesias Morís	D. I. Morís, J. de Moura, J. Novo, M. Ortega, "Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices", European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN'21, 165-170, ISBN: 978287587082-7, https://doi.org/10.14428/esann/2021.ES2021-31, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021), 6/10/2021-8/10/2021, Bruges, Belgium, 2021.		CORE B, GGS3
International Conference	2021	Daniel Iglesias Morís	D. I. Morís, J. de Moura, J. Novo, M. Ortega, "Cycle Generative Adversarial Network Approaches to Produce Novel Portable Chest X-rays Images for COVID-19 Diagnosis ", 2021 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP'21, 1060-1064, IEEE, ISSN: 2379-190X, ISBN: 978-1-7281-7605-5, 10.1109/ICASSP39728.2021.9414031, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'21), 06/06/2021-11/06/2021, Toronto, Canada, 2021.		GGS2
International Conference	2021	Daniel Iglesias Morís	D. I. Morís, A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Context Encoder Self-Supervised Approaches for Eye Fundus Analysis", International Joint Conference on Neural Networks 2021 - IJCNN 2021, 1 - 8, 10.1109/IJCNN52387.2021.9533567, International Joint Conference on Neural Networks 2021 - IJCNN 2021, 18/07/2021 - 22/07/2021, Shenzhen, China, July 2021.		CORE B, GGS2
National Conference	2023	Daniel Iglesias Morís	D. I. Morís, J. de Moura, P. J. Marcos, E. Míguez-Rey, J. Novo, M. Ortega, "Análisis de datos multimodales para la toma de decisiones clínicas utilizando Inteligencia Artificial en el contexto de la COVID-19", BioIntegraSaúde (BIS 2023), BioIntegraSaúde (BIS 2023), 14/12/2023 - 14/12/2023, A Coruña, 2023.
National Conference	2022	Daniel Iglesias Morís	D. I. Morís, J. de Moura, J. Novo, M. Ortega, "Portable chest X-ray image generation for the improvement of the automatic COVID-19 screening", Kalpa Publications in Computing, 14, 104 - 107, EasyChair, ISSN: 2515-1762, 10.29007/jq7h, Proceedings of V XoveTIC Conference , 05/10/2022 - 06/10/2022, A Coruña - Spain, 2023.
National Conference	2021	Daniel Iglesias Morís	D. I. Morís, J. de Moura, J. Novo, M. Ortega, "Portable chest X-ray synthetic image generation for the COVID-19 screening", Engineering Proceedings, 7, MDPI, ISSN: 2673-4591, 10.3390/engproc2021007006 , 4th XoveTIC Conference, 07/10/2021 - 08/10/2021, A Coruña, 2021.
Publicación congreso	2025	Eva Blanco Mallo	Eva Blanco-Mallo, Verónica Bolón-Canedo, Beatriz Remeseiro. Do not get lost in projection: finding the right distance for meaningful UMAP embeddings. ESANN2025 EUROPEAN SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND MACHINE LAERNING. ISBN 9782875870933. https://doi.org/10.14428/esann/2025.ES2025-177		CONGRESO INTERNACIONAL
Publicación congreso	2024	Eva Blanco Mallo	Eva Blanco-Mallo, Pablo Pérez-Núñez, Verónica Bolón-Canedo y Beatriz Remeseiro. En la variedad está el gusto: la importancia de extraer conocimiento de los usuarios adecuados. XX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA).		CONGRESO NACIONAL CAEPIA
Publicación congreso	2023	Eva Blanco Mallo	Eva Blanco-Mallo, Beatriz Remeseiro, Verónica Bolón-Canedo. Boosting Unsupervised Domain Adaptation: A Certainty-Aware Pseudo-Labeling Approach. 24th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL). https://ssrn.com/abstract=4627809 or http://dx.doi.org/10.2139/ssrn.4627809		CONGRESO INTERNACIONAL
Publicación congreso	2022	Eva Blanco Mallo	Eva Blanco-Mallo, João Carneiro, Goreti Marreiros, Beatriz Remeseiro, Verónica Bolón-Canedo. When the best reviews are not placed between extremes. 2022 International Joint Conference on Neural Networks (IJCNN). DOI: 10.1109/IJCNN55064.2022.9892131		CONGRESO INTERNACIONAL INDICADOR: GII-GRIN-SCIE CATEGORÍA: A-
Publicación congreso	2021	Eva Blanco Mallo	Eva Blanco-Mallo, Beatriz Remeseiro, Verónica Bolón-Canedo. Nuevas aproximaciones de aprendizaje por transferencia en sistemas de recomendación. Doctoral Consortium, XIX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA)		CONGRESO NACIONAL CAEPIA
Artículo	2023	Eva Blanco Mallo	Eva Blanco-Mallo, Laura Morán-Fernández, Beatriz Remeseiro, Verónica Bolón-Canedo. Do all roads lead to Rome? Studying distance measures in the context of machine learning. Pattern Recognition. Volumen 141 paginas 109646. ISNN 0031-3203. https://doi.org/10.1016/j.patcog.2023.109646		FACTOR DE IMPACTO (JRC 2023)=7,5 Ranking en la categoría Computer Science, Artificial Intelligence (JCR 2023) = 24 de 197 (Q1)
Publicación congreso	2020	Eva Blanco Mallo	Eva Blanco-Mallo, Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos. On the Effectiveness of Convolutional Autoencoders on Image-Based Personalized Recommender Systems III Congreso XoveTIC (Proceedings, 2020, XoveTIC 2020). https://doi.org/10.3390/proceedings2020054011		CONGRESO NACIONAL
Publicación congreso	2020	Eva Blanco Mallo	Eva Blanco-Mallo, Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos. Only for your eyes: Visualizing the results of a personalized recommendation system. Art and Artificial Intelligence: a disruptive joint venture (Art)^2Int (ECAI Workshop). INDICE: GII-GRIN-SCIE (GGS Rating), CATEGORIA: A		INTERNACIONAL INDICE: GII-GRIN-SCIE (GGS Rating), CATEGORIA: A
Artículo	2025	Antonio Perez-Campoamor	Pérez-Campoamor, A., Martínez, E., Núñez, E., Vázquez, J., Alba-Linares, J.J., Ladreda, M., Bolón-Canedo, V. (2025). Decoding the Language of Time: Machine Learning for Biological Age Prediction. IEEE Journal of Biomedical and Health Informatics.		FACTOR DE IMPACTO (JRC 2024)=6.8 Ranking en la categoría Computer Science, Information Systems (JCR, Q1)
Artículo	2025	Antonio Perez-Campoamor	Carlos Perez-Sanchez , Antonio Perez-Campoamor, Gema Dolores García-Delgado, Beatriz Vellon-Garcia , Adrian Llamas-Urbano, Laura Romero-Zurita, Pedro Ortiz-Buitrago, Christian Merlo, Tomas Cerdó , Sagrario Corrales,Ismael Sanchez-Pareja, Laura Muñoz-Barrera, María del Carmen Abalos-Aguilera, Nuria Barbarroja, Veronica Bolon-Canedo, Rafaela Ortega-Castro, Jerusalem Calvo, Lourdes Ladehesa , Inmaculada Concepcion Aranda-Valera, PRECISESADS Clinical Consortium, Marta Alarcon-Riquelme, María Angeles Aguirre, Alejandro Escudero-Contreras, Chary Lopez-Pedrera. Metabolomic and machine learning enhances patient diagnosis and stratification in systemic autoimmune diseases. REVISTA: Computers in Biology and Medicine. ISNN: 0010-4825 https://doi.org/10.1016/j.compbiomed.2025.111325		FACTOR DE IMPACTO (JRC 2024)=6.3 Ranking en la categoría Computer Science, Artificial Intelligence (JCR 2024) = 26 de 177 (Q1)
Artículo	2024	Pablo Gutiérrez Asorey	Varela Rodeiro, T.; Gutiérrez Asorey, P.; Brisaboa, N. R.; Penabad, M. R.; Cortiñas, A.: "A novel architecture for the detection, exploitation and historical archival of indoor semantic trajectories: a case study on nursing homes", International Journal of Pervasive Computing and Communications, Emerald Group Publishing LTD, Yorkshire (Reino Unido), 2024.		JCR Q4 – 160/177 (2024)
Artículo	2023	Pablo Gutiérrez Asorey /Tirso Varela Rodeiro	Gutiérrez Asorey, P.; Brisaboa, N. R.; Varela Rodeiro, T.: "SIGTRANS: Geographical Information System for the analysis and management of public TRANSport", Kalpa Publications in Computing, 14, EasyChair Ltd, Stockport (Reino Unido), 2023, pp. 7-9.
Artículo	2021	Pablo Gutiérrez Asorey /Tirso Varela Rodeiro	Brisaboa, N. R.; Gutiérrez Asorey, P.; Luaces, M. R.; Varela Rodeiro, T.: "Succinct Data Structures in the Realm of GIS", Engineering Proceedings, 7(29), MDPI, Basel (Suíza), 2021.
Artículo	2026	Álvaro Michelena Gandío	Álvaro Michelena, Óscar Fontenla-Romero, José Luis Calvo-Rolle. Novel real-time heat detection system for dairy cows based on supervised techniques and smart collars.. Journal of Applied Logics - IfCoLog Journal. Vol. 13 Núm. 1 (págs. 5 a 28). Año 2026. DOI: http://dx.doi.org/10.2139/ssrn.4889392		FACTOR DE IMPACTO (JRC 2024)=0,2 Ranking en la categoría Logic (JCR 2024) = 25 de 27 (Q4)
Artículo	2025	Álvaro Michelena Gandío	Álvaro Michelena, Antonio Díaz-Longueira, Paulo Novais, Dragan Simic, Óscar Fontenla-Romero, José Luis Calvo-Rolle Comparative analysis of unsupervised anomaly detection techniques for heat detection in dairy cattle. Año 2025.Neurocomputing. Vol. 618 (págs. 1 a 12). https://doi.org/10.1016/j.neucom.2024.129088		FACTOR DE IMPACTO (JRC 2024)=6,5 Ranking en la categoría Computer Science, Artificial Intelligence (JCR 2024) = 37 de 204 (Q1)
Artículo	2024	Álvaro Michelena Gandío	Álvaro Michelena, Óscar Fontenla-Romero, Jose Luis Calvo Rolle. A review and future trends of precision livestock over dairy and beef cow cattle with artificial intelligence. Logic Journal of the IGPL (págs. 1 a 49). Año 2024. DOI: https://doi.org/10.1093/jigpal/jzae111		FACTOR DE IMPACTO (JRC 2024)=0,8 Ranking en la categoría Mathematics (JCR 2024) = 175 de 496 (Q2)
Artículo	2025	Brais Muñiz	Felicidad Aguado, Pedro Cabalar, Brais Muñiz, Gilberto Pérez, Concepción Vidal, “Comparing Non-Minimal Semantics for Disjunction in Answer Set Programming”. Theory and Practice of Logic Programming, Vol. 25, Num. 4, pages 402-416, DOI: https://doi.org/10.1017/S1471068425100185		FI: 1.1 - Q1
Artículo en congreso	2024	Brais Muñiz	P. Cabalar, E. Erdem, M. Fidan, and B. Muñiz. A preliminary taxonomy of explanations in problem solving. In Book of Abstracts of European Symposium on Computational Intelligence and Mathematics, pages 50–51, 2024. URL http://escim2024.uca.es/wp-content/uploads/Book_of_abstracts_ESCIM_2024.pdf.
Artículo en revista	2024	Brais Muñiz	Pedro Cabalar and Brais Muñiz, “Model Explanation via Support Graphs,” Theory and Practice of Logic Programming, pp. 1–14, 2024. doi:10.1017/S1471068424000048		FI: 1.4 - Q1
Artículo en congreso	2024	Brais Muñiz	Pedro Cabalar, Adrian Dorsey, Jorge Fandinno, Yuliya Lierler, Brais Muñiz and Joel Sare, "tExplain: Information Extraction with Explanations". 17th International Conference on Logic Programming and Non-monotonic Reasoning (LPNMR 2024), Dallas, Texas, October 11-14, 2024		CORE B
Artículo en congreso	2023	Brais Muñiz	Cabalar P, Muñiz B. Explanation Graphs for Stable Models of Labelled Logic Programs. In: Arias J, Batsakis S, Faber W, et al., eds. Proceedings of the International Conference on Logic Programming 2023 Workshops Co-Located with the 39th International Conference on Logic Programming (ICLP 2023), London, United Kingdom, July 9th and 10th, 2023. Vol 3437. CEUR Workshop Proceedings. CEUR-WS.org; 2023. https://ceur-ws.org/Vol-3437/paper3ASPOCP.pdf		CORE A
Artículo en revista	2023	Brais Muñiz	Carou-Senra P, Ong JJ, Castro BM, et al. Predicting pharmaceutical inkjet printing outcomes using machine learning. International Journal of Pharmaceutics: X. 2023;5:100181. doi:10.1016/j.ijpx.2023.100181		FI: 1.54 - Q1
Artículo en congreso	2023	Brais Muñiz	P. Cabalar and B. Muñiz. Commonsense Explanation for the Blocks World. In Challenges and Adequacy Conditions for Logicsin the New Age of Artificial Intelligence 2023 (ACLAI’23), organized at Málaga, Spain. November 3-5. URL https://lianda23.uma.es/resources/ACLAI23_Cabalar_muniz.pdf
Artículo en congreso	2023	Brais Muñiz	Cabalar P, Muñiz B. Explanation Graphs for Stable Models of Labelled Logic Programs. In: Arias J, Batsakis S, Faber W, et al., eds. Proceedings of the International Conference on Logic Programming 2023 Workshops Co-Located with the 39th International Conference on Logic Programming (ICLP 2023), London, United Kingdom, July 9th and 10th, 2023. Vol 3437. CEUR Workshop Proceedings. CEUR-WS.org; 2023. https://ceur-ws.org/Vol-3437/paper3ASPOCP.pdf		CORE A
Artículo	2023	David Novoa Paradela	David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas. A One-Class Classification method based on Expanded Non-Convex Hulls. Information Fusion Vol. 89, pag 1-15. Elsevier, 2023. ISSN 1566-2535 https://doi.org/10.1016/j.inffus.2022.07.023		Factor de Impacto (JCR 2023) = 18,6 Ranking en la categoría Computer Science, Artificial Intelligence (JCR 2023) = 1 de 15 (Q1)
Artículo	2023	David Novoa Paradela	David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas. Fast Deep Autoencoder for Federated Learning. Pattern Recognition. Vol. 143, pag. 109805. ISSN 0031-3203 https://doi.org/10.1016/j.patcog.2023.109805		Factor de Impacto (JCR 2022) = 8 Ranking en la categoría Computer Science, Artificial Intelligence (JCR 2022) = de 1 a 13 (Q1)
Congreso	2023	David Novoa Paradela	D. Novoa-Paradela, O. Fontenla-Romero, B. Guijarro-Berdiñas, D. Orellana-Cañás. A Federated Learning architecture for Anomaly Detection on the Edge using Deep Autoencoders. 31th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE-2023) PARIS, 14-16 DICIEMBRE 2023 https://doi.org/10.1109/WETICE57085.2023.10477824		GII-GRIN-SCIE (GGS) Conference Rating: B- ; iCORE Conference Ranking: C
Artículo revista	2024	David Novoa Paradela	David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas. Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? Engineering Applications of Artificial Intelligence. Vol. 133, pag 108065. ISSN 0952-1976 https://doi.org/10.1016/j.engappai.2024.108065		Factor de Impacto (JCR 2023) = 7,5 Ranking en la categoría Computer Science, Artificial Intelligence (JCR 2023) = 24 de 197 (Q1)
Artículo en congreso	2025	David Otero	Otero, D., Parapar, J., Barreiro, Á. (2025). Towards Reliable Testing for Multiple Information Retrieval System Comparisons. In: Hauff, C., et al. Advances in Information Retrieval. ECIR 2025. Lecture Notes in Computer Science, vol 15573. Springer, Cham. https://doi.org/10.1007/978-3-031-88711-6_27		Congreso Core A internacional
Artículo en congreso	2025	David Otero	David Otero, Javier Parapar, and Álvaro Barreiro. 2025. Limitations of Automatic Relevance Assessments with Large Language Models for Fair and Reliable Retrieval Evaluation. In Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '25). Association for Computing Machinery, New York, NY, USA, 2545–2549. https://doi.org/10.1145/3726302.3730221		Congreso CORE A+ internacional
Artículo revista	2023	David Otero	Otero, D., Parapar, J., & Barreiro, Á. (2023). Relevance feedback for building pooled test collections. Journal of Information Science, 0(0). https://doi.org/10.1177/01655515231171085		FI: 2.5 - Q2
Artículo en congreso	2023	David Otero	David Otero, Javier Parapar, and Nicola Ferro. 2023. How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM '23). Association for Computing Machinery, New York, NY, USA, 1960–1970. https://doi.org/10.1145/3583780.3614916		CORE A Conference
Capítulo de libro	2023	David Otero	Patricia Martín Rodilla, David Otero. Estrategias de recuperación de información mediante " pooling " para la construcción de colecciones de referencia desde redes sociales, caso de estudio durante las tensiones raciales de 2020. Scire vias: humanidades digitales y conocimiento, págs. 347-365.
Artículo en congreso	2021	David Otero	David Otero, Javier Parapar, and Álvaro Barreiro. 2021. The wisdom of the rankers: a cost-effective method for building pooled test collections without participant systems. In Proceedings of the 36th Annual ACM Symposium on Applied Computing (SAC '21). Association for Computing Machinery, New York, NY, USA, 672–680. https://doi.org/10.1145/3412841.3441947		CORE B Conferencie
Artículo revista	2021	David Otero	David Otero, Patricia Martin-Rodilla, and Javier Parapar. 2021. Building Cultural Heritage Reference Collections from Social Media through Pooling Strategies: The Case of 2020’s Tensions Over Race and Heritage. J. Comput. Cult. Herit. 15, 1, Article 9 (February 2022), 13 pages. https://doi.org/10.1145/3477604		FI: 2.1, Q3
Artículo en congreso	2020	David Otero	David Otero, Javier Parapar, Álvaro Barreiro. Beaver: Efficiently Building Test Collections for Novel Tasks. CIRCLE. 2020
Artículo en congreso	2019	David Otero	David Otero. Exploiting Pooling Methods for Building Datasets for Novel Tasks. FDIA@ESSIR 2019
Artículo en congreso	2019	David Otero	Otero D, Valcarce D, Parapar J, Barreiro Á. Building High-Quality Datasets for Information Retrieval Evaluation at a Reduced Cost. Proceedings. 2019; 21(1):33. https://doi.org/10.3390/proceedings2019021033
Artigo en revista	2025	Anxo Pérez	Bao, E., Pérez, A., Otero, D., Parapar, J. How does depression talk on social media? Modeling depression language with relevance-based statistical language models. Online Social Networks and Media 50, 100339 (2025). https://doi.org/10.1016/j.osnem.2025.100339		F.I: 2.9 (Q1)
Artigo en revista	2025	Anxo Pérez	Pérez, A., Fernández-Pichel, M., Parapar, J. et al. DepreSym: A Depression Symptom Annotated Corpus and the Role of Large Language Models as Assessors of Psychological Markers. Lang Resources & Evaluation 59, 2737–2762 (2025). https://doi.org/10.1007/s10579-025-09831-6		F.I: 1.8 (Q3)
Artigo en revista	2025	Anxo Pérez	Couto, M., Perez, A., Parapar, J. et al. Temporal Word Embeddings for Early Detection of Psychological Disorders on Social Media. J Healthc Inform Res (2025). https://doi.org/10.1007/s41666-025-00186-9		F.1: 3.5 (Q1)
Artigo en congreso	2025	Anxo Pérez	Xi Wang, Anxo Perez, Javier Parapar, and Fabio Crestani. 2025. TalkDep: Clinically Grounded LLM Personas for Conversation-Centric Depression Screening. In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM '25). Association for Computing Machinery, New York, NY, USA, 6554–6558. https://doi.org/10.1145/3746252.3761617		Congreso CORE A
Artículo en revista	2024	Anxo Pérez	Bao, E., Pérez, A., & Parapar, J. (2024). Explainable depression symptom detection in social media. Health Information Science and Systems, 12(1), 47.		F.I. 4.7 (D1, Q1)
Artículo en congreso	2023	Anxo Pérez	Pérez, A., Warikoo, N., Wang, K., Parapar, J., & Gurevych, I. (2023, December). Semantic Similarity Models for Depression Severity Estimation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (pp. 16104-16118).		CORE A+ Conference
Artículo en congreso	2023	Anxo Pérez	Pérez, A., Piot-Pérez-Abadín, P., Parapar, J., & Barreiro, Á. (2023, March). Psyprof: a platform for assisted screening of depression in social media. In European Conference on Information Retrieval (pp. 300-306). Cham: Springer Nature Switzerland.		CORE A Conference
Artículo en congreso	2023	Anxo Pérez	Pérez, A., Parapar, J., Barreiro, Á., & Lopez-Larrosa, S. (2023, July). Bdi-sen: A sentence dataset for clinical symptoms of depression. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2996-3006).		CORE A+ Conference
Artículo en congreso	2022	Anxo Pérez	Couto, M., Pérez, A., & Parapar, J. (2022, July). TemporalWord Embeddings for Early Detection of Signs of Depression. In CIRCLE.
Artículo en revista	2022	Anxo Pérez	Pérez, A., Parapar, J., & Barreiro, Á. (2022). Automatic depression score estimation with word embedding models. Artificial Intelligence in Medicine, 132, 102380.		F.I. 7.5 (D1, Q1)
Artículo en congreso	2021	Anxo Pérez	Gabín, J., Pérez, A., & Parapar, J. (2021). Multiple-choice question answering models for automatic depression severity estimation. Engineering Proceedings, 7(1), 23.		Premio a mejor comunicación oral
Artículo en congreso	2020	Anxo Pérez	Pérez, A., Lopez-Otero, P., & Parapar, J. (2020, August). Designing an open source virtual assistant. In Proceedings (Vol. 54, No. 1, p. 30). MDPI.
Revista	2023	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, J. Novo, M. Ortega, "Multivendor fully-automatic uncertainty management approaches for the intuitive representation of DME fluid accumulations in OCT images", Medical & Biological Engineering & Computing, 1-16, ISSN: 1741-0444, 10.1007/s11517-022-02765-z, 2023.		Q2
Revista	2023	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, P. Almuiña, M. Fernández, M. Ortega, J. Novo, "Comprehensive fully-automatic multi-depth grading of the clinical types of macular neovascularization in OCTA images", Applied Intelligence, 1-22, Springer, ISSN: 0924-669X, https://doi.org/10.1007/s10489-023-04656-8, 2023.		Q2
Capítulo Libro	2023	Plácido Lizancos Vidal	J. de Moura, P. L. Vidal, J. Novo, M. Ortega, "Computerized tool for the automatic segmentation of DRT edemas using OCT scans", Photo Acoustic and Optical Coherence Tomography Imaging, Volume 1 , 1, 1-15, IOP Publishing, ISBN: 978-0-7503-2052-8, 10.1088/978-0-7503-2052-8ch1, 2023.
Revista	2023	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, J. Novo, M. G. Penedo, M. Ortega, "Image-to-Image Translation with Generative Adversarial Networks via Retinal Masks for Realistic Optical Coherence Tomography Imaging of Diabetic Macular Edema Disorders", Biomedical Signal Processing and Control, 79, 104098, Elsevier, ISSN: 1746-8094, 10.1016/j.bspc.2022.104098, 2023.		Q2
Revista	2022	Plácido Lizancos Vidal	J. de Moura, P. L. Vidal, J. Novo, J. Rouco, M. G. Penedo, M. Ortega, "Feature definition and comprehensive analysis on the robust identification of intraretinal cystoid regions using Optical Coherence Tomography images", Pattern Analysis and Applications, 1-15, Springer, ISSN: 1433-755X, https://doi.org/10.1007/s10044-021-01028-1, 2022.		Q3
Revista	2022	Plácido Lizancos Vidal	E. López-Varela, P. L. Vidal, N. Olivier, J. Novo, M. Ortega, "Fully-automatic 3D intuitive visualization of Age-related Macular degeneration fluid accumulations in OCT cubes", Journal of Digital Imaging, Springer, ISSN: 0897-1889, 10.1007/s10278-022-00643-6, 2022. RUC Handle: http://hdl.handle.net/2183/36566,		Q1
Revista	2021	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, J. Novo, M. Ortega, "Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19", Expert Systems with Applications , 173, 114677, Elsevier, ISSN: 0957-4174, https://doi.org/10.1016/j.eswa.2021.114677, 2021.		Q1
Revista	2020	Plácido Lizancos Vidal	J. de Moura, P. L. Vidal, J. Novo, J. Rouco, M. G. Penedo, M. Ortega, "Intraretinal fluid pattern characterization in Optical Coherence Tomography images", Sensors, 20(7), 2004, 1-23, MDPI, ISSN: 1424-8220, 0.3390/s20072004, 2020. RUC Handle: http://hdl.handle.net/2183/25418,		Q1
Capítulo Libro	2020	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, J. Novo, J. Rouco, M. Ortega, "Intraretinal Fluid Pattern Characterization", Scholarly Community Encyclopedia, 1-5, MDPI, 10.32545/encyclopedia202004.0018.v7, 2020.
Revista	2020	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, M. Díaz, J. Novo, M. Ortega, "Diabetic Macular Edema characterization and visualization using Optical Coherence Tomography Images", Applied Sciences, 10, 1-23, MDPI, ISSN: 2076-3417, 10.3390/app10217718, 2020. RUC Handle: http://hdl.handle.net/2183/26813,		Q2
Revista	2020	Plácido Lizancos Vidal	J. de Moura, L. Ramos, P. L. Vidal, M. Cruz, L. Abeilairas, E. Castro, J. Novo, M. Ortega, "Deep convolutional approaches for the analysis of Covid-19 using chest X-Ray images from portable devices", IEEE Access, 8, 195594-195607, IEEE, ISSN: 2169-3536, 10.1109/ACCESS.2020.3033762, 2020.		Q1
Capítulo Libro	2020	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, J. Novo, M. G. Penedo, M. Ortega, "Intraretinal Fluid Map Generation in Optical Coherence Tomography Images", Diabetes and Retinopathy - Computer-Assisted Diagnosis, 2, 19-43, Elsevier, ISBN: 978-0-12-817438-8, 10.1016/B978-0-12-817438-8.00002-X, 2020.
Revista	2018	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, J. Novo, M. G. Penedo, M. Ortega, "Intraretinal fluid identification via enhanced maps using Optical Coherence Tomography images", Biomedical Optics Express, 9(10), 4730-4754, OSA Publishing, ISSN: 2156-7085, 10.1364/BOE.9.004730, 2018.		Q1
International Conference	2023	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, J. Novo, M. Ortega, Jaime S. Cardoso, "Transformer-based multi-prototype approach for Diabetic Macular Edema analysis in OCT images", 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), 1-5, IEEE, ISBN: 978-1-7281-6327-7, 10.1109/ICASSP49357.2023.10095039, 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), 04/06/2023 - 10/06/2023, Rhodes Island, Greece, June 2023.
International Conference	2021	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, M. Díaz, J. Novo, M. Ortega, "Comparative and Behavioural Analysis of a Diffuse Paradigm for the Evaluation of Diabetic Macular Edema in OCT images", 34th IEEE CBMS International Symposium on Computer-Based Medical Systems - CBMS'21, 13-18, IEEE, ISBN: 978-1-6654-4121-6, 10.1109/CBMS52027.2021.00010, 34th IEEE CBMS International Symposium on Computer-Based Medical Systems - CBMS'21, 07/06/2021-09/06/2021, Aveiro, Portugal, June 2021.		GGS3
International Conference	2021	Plácido Lizancos Vidal	M. Díaz, P. L. Vidal, J. Novo, M. Ortega, M. G. Penedo, "Automatic segmentation and estimation of ischemic regions in OCT angiography scans", 34th IEEE CBMS International Symposium on Computer-Based Medical Systems - CBMS'21, 7-12, IEEE, ISBN: 978-1-6654-4121-6 , DOI 10.1109/CBMS52027.2021.00009, 34th IEEE CBMS International Symposium on Computer-Based Medical Systems - CBMS'21, 07/06/2021-09/06/2021, Aveiro, Portugal, June 2021.		GGS3
International Conference	2019	Plácido Lizancos Vidal	I. Otero, P. L. Vidal, J. de Moura, J. Novo, M. Ortega, "Computerized tool for the identification and enhanced visualization of Macular Edema regions using OCT scans", European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN'19, 565-570, ISBN: 978-287-587-065-0, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN'19, 24/04/2019-26/04/2019, Bruges, Belgium, April 2019.		GGS3, CORE B
International Conference	2019	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, J. Novo, M. G. Penedo, M. Ortega, "Intuitive and coherent intraretinal cystoid map representation in Optical Coherence Tomography Images", 17th International Conference on Computer Aided Systems Theory - Eurocast'19, 216-217, ISBN: 978-84-09-09208-6, 17th International Conference on Computer Aided Systems Theory - Eurocast'19, 17/02/2019-22/02/2019, Canary Islands, Spain, 2019.
International Conference	2019	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, J. Novo, M. Ortega, "Cystoid Fluid Color Map Generation in Optical Coherence Tomography Images Using a Densely Connected Convolutional Neural Network", 2019 International Joint Conference on Neural Networks - IJCNN'19, ISSN: 2161-4407, ISBN: 978-1-7281-1985-4, https://doi.org/10.1109/IJCNN.2019.8852208, 14/07/2019-19/07/2019, Budapest, Hungary, July 2019.		GGS3, CORE A
International Conference	2017	Plácido Lizancos Vidal	J. de Moura, P. L. Vidal, J. Novo, J. Rouco, M. Ortega, "Feature definition, analysis and selection for cystoid region characterization in Optical Coherence Tomography", Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference, KES-2017, 112, 1369 - 1377, Procedia Computer Science, ISSN: 1877-0509, https://doi.org/10.1016/j.procs.2017.08.043, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference, KES-2017, 06/09/2017-08/09/2017, Marseille, France, September 2017.		CORE B
International Conference	2022	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, J. Novo, M. Ortega, "Pulmonary-Restricted COVID-19 Informative Visual Screening Using Chest X-ray Images from Portable Devices", 21st International Conference on Image Analysis and Processing - ICIAP 2021, 13231, 65–76, Springer, ISBN: 978-3-031-06426-5, 10.1007/978-3-031-06427-2_6, 21st International Conference on Image Analysis and Processing - ICIAP 2021, 23/05/2022 - 27/05/2022, Lecce, Italy, May 2022. RUC Handle: Pending,		Lecture Notes
International Conference	2019	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, J. Novo, M. G. Penedo, M. Ortega, "Intuitive and coherent intraretinal cystoid map representation in Optical Coherence Tomography images", Lecture Notes in Computer Science: Computer Aided Systems Theory, Revised Selected Papers, EUROCAST 2019, 12014, 270-278, Springer International Publishing, ISBN: 978-3-030-45095-3, 10.1007/978-3-030-45096-0_34, Lecture Notes in Computer Science: Computer Aided Systems Theory, Revised Selected Papers, EUROCAST 2019, 17/02/2019-22/02/2019, Las Palmas de Gran Canaria, Spain, 2020.		Lecture Notes
National Conference	2023	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, L. Ramos, J. Novo, M. Ortega, "Region of interest-bounded COVID-19 lung screening using images from portable X-ray devices", Kalpa Publications in Computing, 14, 111–114, EasyChair, ISSN: 2515-1762, 10.29007/cj6l, 5th XoveTIC Conference, A Coruña - Spain, 2022, 05/10/2022-06/10/2022, A Coruña, 2023.
National Conference	2021	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, J. Novo, M. Ortega, "COVID-19 lung radiography segmentation by means of multiphase transfer learning", Engineering Proceedings, 7, 4, MDPI, ISSN: 2673-4591, 10.3390/engproc2021007005, 4th XoveTIC Conference, 07/10/2021 - 08/10/2021, A Coruña, October 2021.
National Conference	2021	Plácido Lizancos Vidal	J. de Moura, L. Ramos, P. L. Vidal, M. Cruz, L. Abeilairas, E. Castro, J. Novo, M. Ortega, "Computational Radiological Screening of Patients with COVID-19 using Chest X-ray Images from Portable Devices", Engineering Proceedings, 7, 1-4, MDPI, ISSN: 2673-591, 4th XoveTIC Conference, 07/10/2021 - 08/10/2021, A Coruña, 2021.
National Conference	2020	Plácido Lizancos Vidal	J. de Moura, L. Ramos, P. L. Vidal, J. Novo, M. Ortega, "Analysis of Separability of COVID-19 and Pneumonia in Chest X-Ray Images by means of Convolutional Neural Networks", Proceedings, 54 (1), 101-103, MDPI, ISSN: 2504-3900, ISBN: 978-3-03943-492-3, 10.3390/proceedings2020054031, III XoveTIC 2020, 08/10/2020-09/10/2020, A Coruña, 2020.
National Conference	2020	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, L. Ramos, J. Novo, M. Ortega, "Study on relevant features in COVID-19 PCR tests", Proceedings, 54 (1), 143-145, MDPI, ISSN: 2504-3900, ISBN: 978-3-03943-492-3, https://doi.org/10.3390/proceedings2020054045, III XoveTIC 2020, 08/10/2020-09/10/2020, A Coruña, 2020.
National Conference	2019	Plácido Lizancos Vidal	I. Otero, P. L. Vidal, J. de Moura, J. Novo, M. Ortega, "Automatic tool for the detection, characterization and intuitive visualization of Macular Edema regions in OCT images", Proceedings, 21 (1), 36, MDPI, ISSN: 2504-3900, 10.3390/proceedings2019021036, II Congreso XoveTIC 2019, 05/09/2019-06/09/2019, A Coruña - Spain, September 2019. RUC Handle: http://hdl.handle.net/2183/23923,
National Conference	2019	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, J. Novo, M. Ortega, "Intraretinal fluid detection by means of a Densely Connected Convolutional Neural Network using Optical Coherence Tomography Images", Proceedings, 21(1), 34, MDPI, ISSN: 2504-3900, 10.3390/proceedings2019021034, II Congreso XoveTIC, 05/09/2019-06/09/2019, A Coruña - Spain, September 2019. RUC Handle: http://hdl.handle.net/2183/23922,
National Conference	2019	Plácido Lizancos Vidal	J. de Moura, P. L. Vidal, J. Novo, M. Ortega, "Automatic Identification of Diabetic Macular Edema using a Transfer Learning-based Approach", Proceedings, 21(1), 16, MDPI, ISSN: 2504-3900, 10.3390/proceedings2019021016, II Congreso XoveTIC 2019, 05/09/2019-06/09/2019, A Coruña - Spain, September 2019. RUC Handle: http://hdl.handle.net/2183/23909,
National Conference	2018	Plácido Lizancos Vidal	P. L. Vidal, J. de Moura, J. Novo, J. Rouco, M. Ortega, "Fluid region analysis and identification via Optical Coherence Tomography image samples", XoveTIC 2018, 2(18), 1180, MDPI, ISSN: 2504-3900, 10.3390/proceedings2181180, 27/09/2018-28/09/2018, A Coruña, September 2018.
Artículo	2019	Jorge Novo Meira	Jorge Meira, Rui Andrade, Isabel Praça, João Carneiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Goreti Marreiros. Performance evaluation of unsupervised techniques in cyber-attack anomaly detection. Journal of Ambient Intelligence and Humanized Computing, Vol. 11, No. 11, pp n4477--4489, 2020.		Factor de Impacto (JCR 2019) = 4,6 Ranking en la categoría Computer Science, Artificial Intelligence (JCR 2019) pages 4477–4489 (Q1)
Artículo	2022	Jorge Novo Meira	Jorge Meira, Bruno Veloso, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos, Joao Gama. Data-Driven Predictive Maintenance Framework for Railway Systems. Intelligent Data Analysis,, vol. 27, no. 4, pp. 1087-1102, 2023.		Factor de Impacto (JCR 2021) = 1,3 Ranking en la categoría Computer Science, Artificial Intelligence (JCR 2021), (Q4)
Artículo	2022	Jorge Novo Meira	Jorge Meira, Carlos Eiras-Franco, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos. Fast Anomaly Detection with Locality-Sensitive Hashing and Hyperparameter AutoTuning. Information Sciences, Vol 607, pp 1245-1264, 2022. https://doi.org/10.1016/j.ins.2022.06.035		Factor de Impacto (JCR 2022) = 8,2 Ranking en la categoría Computer Science, Artificial Intelligence (JCR 2022) = 1245 de 1264 (Q1)
Artículo	2022	Jorge Novo Meira	Jorge Meira, Joao Carneiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Paulo Novais, Goreti Marreiros. Anomaly detection on Natural Language Processing to improve predictions on tourist preferences, Electronics 2022, 11, 779. https://doi.org/ 10.3390/electronics11050779		Factor de Impacto (JCR 2021) = 2,7 Ranking en la categoría Computer Science, Artificial Intelligence (JCR 2022), (Q3)
International Conference	2020	Shaon Sutradhar	S. Sutradhar, J. Rouco, M. Ortega, "Unsupervised anomaly map for image-based screening", Lecture Notes in Computer Science: Computer Aided Systems Theory, Revised Selected Papers, EUROCAST 2019, 12014, 239-246, ISBN: 978-3-030-45095-3, https://doi.org/10.1007/978-3-030-45096-0_30, 2020.
International Conference	2019	Shaon Sutradhar	S. Sutradhar, J. Rouco, M. Ortega, "Unsupervised Anomaly Map for Image-based Screening", 17th International Conference on Computer Aided Systems Theory - Eurocast'19, 208-209, ISBN: 978-84-09-09208-6, 17th International Conference on Computer Aided Systems Theory - Eurocast'19, Canary Islands, Spain, February 2019.
International Conference	2019	Shaon Sutradhar	S. Sutradhar, J. Rouco, N. Barreira, M. G. Penedo, M. Ortega, "Diabetic Retinopathy Screening Through Image Anomaly Detection", IV Machine Learning Workshop Galicia, 17/10/2019-17/10/2019, A Coruña, Spain, October 2019.
International Conference	2019	Shaon Sutradhar	S. Sutradhar, J. Rouco, M. Ortega, "Blind-Spot Network for Image Anomaly Detection: A New Approach to Diabetic Retinopathy Screening", European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN'19, European Symposium on Artificial Ne, 24/04/2019-26/04/2019, Bruges, Belgium, 2019.		GGS 3, CORE B
Artículo JCR	2021	Suilen H. Alvarado	Suilen H. Alvarado; Cortiñas, A.; Luaces, M. R.; Pedreira, O.; Places, A. S.: "Multilevel modeling of geographic information systems based on international standards", Software and Systems Modeling, 21, Springer, Heidelberg (Alemaña), 2021, pp. 623-666.		JCR Q2 – 58/131 (2021)
Artículo congreso	2019	Suilen Hernández Alvarado	Suilen H. Alvarado; Cortiñas, A.; Luaces, M. R.; Pedreira, O.; Places, A. S.: "Applying Multilevel Modeling to the Development of Geographic Information Systems", Proceedings of the 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS 2019), IEEE Press, Munich (Alemaña), 2019, pp. 128-133.		Congreso internacional, GGS Class 2, Rating A
Artículo congreso	2019	Suilen Hernández Alvarado	Suilen H. Alvarado; Cortiñas, A.; Luaces, M. R.; Pedreira, O.; Places, A. S.: "A Domain Specific Language for Web-based GIS", Proc. of the 15th International Conference on Web Information Systems and Technologies (WEBIST 2019), Science and Technology Publications, Lda., Viena (Austria), 2019, pp. 462-469.		Congreso internacional, Core C
Artículo JCR	2020	Suilen Hernández Alvarado^+	Hernandez A., Suilen; Cortiñas, A.; Luaces, M. R.; Pedreira, O.; Places, A. S.: "Developing web-based geographic information systems with a DSL: proposal and case study", Journal of Web Engineering ,19 (2) River Publishers, Alsbjergvej (Dinamarca), 2020.		JCR Q3 – 76/105 (2018)
Artículo JCR	2023	Borja Freire Castro	Freire C., Borja; Ladra, S.; Paramá, J. R.; Leena Salmela: "ViQUF: De Novo Viral Quasispecies Reconstruction Using Unitig-Based Flow Networks", IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(2), IEEE, Los Alamitos, CA (Estados Unidos), 2023, pp. 1550-1562.		JCR Q1 – 16/77 (2022)
Artículo JCR	2023	Borja Freire Castro	...; Freire C., Borja; Ladra, S.: "Wastewater early warning system for SARS‑CoV‑2 outbreaks and variants in a Coruña, Spain", Environmental Science and Pollution Research, Springer, Heidelberg (Alemaña), 2023.		JCR Q1 – 67/274 (2022)
Artículo JCR	2022	Borja Freire Castro	Freire C., Borja; Ladra, S.; Paramá, J. R.: "Memory-Efficient Assembly using Flye", IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19(6), Reino Unido, 2022, pp. 3564-3577.		JCR Q1 – 16/77 (2022)
Artículo JCR	2019	Borja Freire Castro	Jorge González-Domínguez; Verónica Bolón-Canedo; Freire C., Borja; Touriño D., J.: "Parallel feature selection for distributed-memory clusters", Information Sciences, 496, Elsevier, Estados Unidos, 2019, pp. 399-409.		JCR Q1 – 9/156 (2019)
Artículo JCR	2019	Borja Freire Castro	Álvarez-García, S.; Freire C., Borja; Ladra, S.; Pedreira, O.: "Compact and Efficient Representation of General Graph Databases", Knowledge and Information Systems, 60 (3), Springer, London (Reino Unido), 2019, pp. 1479-1510.		JCR Q2 - 70/155 (2018)
Artículo congreso	2020	Eduardo Sanjurjo Royo	Sanjurjo R., E.; Pedreira, O.; García, F.; Piattini, M.: "Measuring the Maturity of BizDevOps", en Proceedings of the 13th International Conference (QUATIC 2020), Springer, online (Portugal), 2020, pp. 199-210.		Congreso internacional, CORE C
Artículo congreso	2020	Eduardo Sanjurjo Royo	Sanjurjo R., E.; Pedreira, O.; García, F.; Piattini, M.: "Modelo de Referencia de Procesos para BizDevOps", Proceedings of the 15th Iberian Conference on Information Systems and Technologies (CISTI2020), Curran Associates, Sevilla (España), 2020.		Congreso internacional
National Conference	2022	Álvaro Suárez Hervella	D. Rivas-Villar, A. S. Hervella, J. Rouco, J. Novo, "Deep learning-based detection of domain-specific retinal landmarks for color fundus image registration", 5th XoveTIC Conference, 143-145, 5th XoveTIC Conference, A Coruña - Spain, 2022.
National Conference	2022	Álvaro Suárez Hervella	J. Morano, A. S. Hervella, J. Novo, J. Rouco, "Web-based platform for the automatic analysis and visualization of vascular diagnostic markers in ophthalmological images", 5th XoveTIC Conference, XXX, 101-103, 5th XoveTIC Conference, A Coruña, Spain, 2022.
National Conference	2021	Álvaro Suárez Hervella	J. Morano, A. S. Hervella, J. Novo, J. Rouco, "Deep multi-segmentation approach for the joint classification and segmentation of the retinal arterial and venous trees in color fundus images", 4th XoveTIC Conference, 4th XoveTIC Conference, 07/10/2021 - 08/10/2021, A Coruña, 2021.
National Conference	2020	Álvaro Suárez Hervella	J. Morano, A. S. Hervella, N. Barreira, J. Novo, J. Rouco, "Enhancing the Retinal Blood Vessel Segmentation through Self-Supervised Pre-Training", XoveTIC 2020, MDPI, ISSN: 2504-3900, https://doi.org/10.3390/proceedings2020054044, XoveTIC 2020, 08/10/2020 - 09/10/2020, A Coruña, September 2020.
National Conference	2020	Álvaro Suárez Hervella	A. S. Hervella, L. Ramos, J. Rouco, J. Novo, M. Ortega, "Joint optic disc and cup segmentation using self-supervised multimodal reconstruction pre-training", XoveTIC 2020, 54(1), MDPI, 10.3390/proceedings2020054025, September 2020.
National Conference	2019	Álvaro Suárez Hervella	A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Paired and unpaired deep generative models on multimodal retinal image reconstruction", Proceedings, 21(1), 45, MDPI, ISSN: 2504-3900, 10.3390/proceedings2019021045, II Congreso XoveTIC 2019, 05/09/2019-06/09/2019, A Coruña, Spain, September 2019.
National Conference	2019	Álvaro Suárez Hervella	A. S. Hervella, J. Rouco, J. Novo, M. G. Penedo, M. Ortega, "Learning to segment the retinal vasculature using automatically generated labels from multimodal images", IV Machine Learning Workshop Galicia, 17/10/2019-17/10/2019, A Coruña, Spain, October 2019.
National Conference	2019	Álvaro Suárez Hervella	A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Learning retinal patterns from multimodal images", XoveTIC 2018, 2(18), 1195, MDPI, ISSN: 2504-3900, 10.3390/proceedings2181195, 27/09/2018-28/09/2018, September 2018.
International Conference	2022	Álvaro Suárez Hervella	J. Morano, D. Rivas-Villar, A. S. Hervella, J. Rouco, J. Novo, "Impact of increased centerline weight on the joint segmentation and classification of arteries and veins in color fundus images", 18th International Conference on Computer Aided Systems Theory - Eurocast'22, Las Palmas de Gran Canaria, Spain, 2022.
International Conference	2021	Álvaro Suárez Hervella	D. I. Morís, A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Context Encoder Self-Supervised Approaches for Eye Fundus Analysis", International Joint Conference on Neural Networks 2021 - IJCNN 2021, 1 - 8, 10.1109/IJCNN52387.2021.9533567, International Joint Conference on Neural Networks 2021 - IJCNN 2021, 18/07/2021 - 22/07/2021, Shenzhen, China, July 2021.		GGS 2, CORE B
International Conference	2020	Álvaro Suárez Hervella	J. Morano, A. S. Hervella, N. Barreira, J. Novo, J. Rouco, "Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation", 24th European Conference on Artificial Intelligence - ECAI'20, 365, 1866-1873, IOS Press, ISSN: 1879-8314, ISBN: 978-1-64368-101-6, 24th European Conference on Artificial Intelligence - ECAI'20, 29/08/2020-05/10/2020, Santiago de Compostela, Spain, August 2020.		GGS 2, CORE A
International Conference	2020	Álvaro Suárez Hervella	A. S. Hervella, L. Ramos, J. Rouco, J. Novo, M. Ortega, "Multi-modal self-supervised pre-training for joint optic disc and cup segmentation in eye fundus images", International Conference on Acoustics, Speech and Signal Processing - ICASSP'20, IEEE, International Conference on Acoustics, Speech and Signal Processing - ICASSP'20, 04/05/2020-08/05/2020, Barcelona, Spain, May 2020.		GGS 2 , CORE B
International Conference	2019	Álvaro Suárez Hervella	A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Self-Supervised Deep Learning for Retinal Vessel Segmentation Using Automatically Generated Labels from Multimodal Data", 2019 International Joint Conference on Neural Networks - IJCNN'19, ISSN: 2161-4407, ISBN: 978-1-7281-1985-4, 10.1109/IJCNN.2019.8851844, 14/07/2019-19/07/2019, Budapest, Hungary, July 2019.		GGS 3, CORE A
International Conference	2019	Álvaro Suárez Hervella	A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Impact of the circular region of interest on the performance of multimodal reconstruction of retinal images", 17th International Conference on Computer Aided Systems Theory - Eurocast'19, 204-205, ISBN: 978-84-09-09208-6, 17th International Conference on Computer Aided Systems Theory - Eurocast'19, 17/02/2019-22/02/2019, Canary Islands, Spain, 2019.
International Conference	2019	Álvaro Suárez Hervella	A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Deep Multimodal Reconstruction of Retinal Images Using Paired or Unpaired Data", 2019 International Joint Conference on Neural Networks - IJCNN'19, ISSN: 2161-4407, ISBN: 978-1-7281-1985-4, 10.1109/IJCNN.2019.8852082, 14/07/2019-19/07/2019, Budapest, Hungary, July 2019.		GGS 3, CORE A
International Conference	2018	Álvaro Suárez Hervella	A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Multimodal registration of retinal images using domain-specific landmarks and vessel enhancement", Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22st International Conference, KES-2018, 126, 97-104, Elsevier, 10.1016/j.procs.2018.07.213, 03/09/2018-05/09/2018, Belgrado, Serbia, September 2018.		GGS 3, CORE B
Revista	2023	Álvaro Suárez Hervella	J. Morano, A. S. Hervella, J. Rouco, J. Novo, J. I. Fernández-Vigo, M. Ortega, "Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning", Computer Methods and Programs in Biomedicine, 229(107296), 1-20, Elsevier, ISSN: 0169-2607, 10.1016/j.cmpb.2022.107296, 2023.		Q1
Revista	2023	Álvaro Suárez Hervella	D. I. Morís, A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Context Encoder Transfer Learning Approaches For Retinal Image Analysis", Computers in Biology and Medicine, 152, 106451, Elsevier, ISSN: 0010-4825, 10.1016/j.compbiomed.2022.106451, 2023.		Q1
Revista	2023	Álvaro Suárez Hervella	D. Rivas-Villar, A. S. Hervella, J. Rouco, J. Novo, "Joint keypoint detection and description network for color fundus image registration", Quantitative Imaging in Medicine and Surgery, 13, No. 7, 4540-4562, 10.21037/qims-23-4, 2023.		Q2
Revista	2022	Álvaro Suárez Hervella	A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Multimodal image encoding pre-training for diabetic retinopathy grading", Computers in Biology and Medicine, 143, 105302, Elsevier, ISSN: 0010-4825, 10.1016/j.compbiomed.2022.105302, 2022.		Q1
Revista	2022	Álvaro Suárez Hervella	D. Rivas-Villar, A. S. Hervella, J. Rouco, J. Novo, "Color fundus image registration using a learning-based domain-specific landmark detection methodology", Computers in Biology and Medicine, 140, Elsevier, ISSN: 0010-4825, https://doi.org/10.1016/j.compbiomed.2021.105101, 2022.		Q1
Revista	2022	Álvaro Suárez Hervella	A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Retinal microaneurysm detection using adversarial pre-training with unlabeled multimodal images", Information Fusion, 79, 146-161, Elsevier, ISSN: 1566-2535, https://doi.org/10.1016/j.inffus.2021.10.003, 2022.		Q2
Revista	2022	Álvaro Suárez Hervella	A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "End-to-end multi-task learning for simultaneous optic disc and cup segmentation and glaucoma classification in eye fundus images", Applied Soft Computing, 116, Elsevier, ISSN: 1568-4946, 10.1016/j.asoc.2021.108347, 2022.		Q1
Revista	2021	Álvaro Suárez Hervella	J. Morano, A. S. Hervella, J. Novo, J. Rouco, "Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images", Artificial Intelligence in Medicine, 118, Elsevier, ISSN: 0933-3657, https://doi.org/10.1016/j.artmed.2021.102116, 2021.		Q1
Revista	2021	Álvaro Suárez Hervella	A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis", Expert Systems With Applications, Elsevier, ISSN: 0957-4174, 10.1016/j.eswa.2021.115598, 2021.		Q1
Capítulo libro	2021	Álvaro Suárez Hervella	A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Multimodal reconstruction of retinal images over unpaired datasets using cyclical generative adversarial networks", Generative Adversarial Networks for Image-to-Image Translation, 347-376, Elsevier, ISBN: 9780128235195 , 10.1016/B978-0-12-823519-5.00014-2, 2021.
Revista	2020	Álvaro Suárez Hervella	A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Self-supervised multimodal reconstruction of retinal images over paired datasets", Expert Systems With Applications, 161 (113674), 1-14, Elsevier, ISSN: 0957-4174, 10.1016/j.eswa.2020.113674, 2020.		Q1
Revista	2020	Álvaro Suárez Hervella	A. S. Hervella, J. Rouco, J. Novo, M. Ortega, "Learning the retinal anatomy from scarce annotated data using self-supervised multimodal reconstruction", Applied Soft Computing, 91 (106210), 1-16, Elsevier, ISSN: 1568-4946, 10.1016/j.asoc.2020.106210, 2020.		Q1
Revista	2020	Álvaro Suárez Hervella	A. S. Hervella, J. Rouco, J. Novo, M. G. Penedo, M. Ortega, "Deep multi-instance heatmap regression for the detection of retinal vessel crossings and bifurcations in eye fundus images", Computer Methods and Programs in Biomedicine, 186, 1-12, Elsevier, ISSN: 0169-2607, 10.1016/j.cmpb.2019.105201, 2020.		Q1
Artículo congreso	2017	Cristina Martínez Pérez	Brisaboa, N. R.; Luaces, M. R.; Martinez Perez, C.; Places, A. S.: "Semantic Trajectories in Mobile Workforce Management Applications", Proc.15th Int. Symposium on Web and Wireless Geographical Information System (W2GIS 2017)-LNCS 10181, Springer, Shanghai (China), 2017, pp. 100-115.		Congreso internacional
Artículo congreso	2017	Cristina Martínez Pérez	Brisaboa, N. R.; Luaces, M. R.; Martinez Perez, C.; Places, A. S.: "Trayectorias semánticas en aplicaciones de Mobile Workforce Management", Actas de las XXII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2017), La Laguna (Tenerife) (España), 2017.		Congreso nacional
Ponencia en congreso	2021	Michalina Strzyz	Alberto Muñoz-Ortiz, Michalina Strzyz and David Vilares, Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing, in Galia Angelova, Maria Kunilovskaya, Ruslan Mitkov and Ivelina Nikolova-Koleva (eds.), International Conference Recent Advances in Natural Language Processing. RANLP 2021 Deep Learning for Natural Language Processing Methods and Applications. Proceedings, pp. 978-988, online, 2021. ISBN 978-954-452-072-4. DOI 10.26615/978-954-452-072-4_111		H-index 30 en SJR
Ponencia en congreso	2020	Michalina Strzyz	Carlos Gómez-Rodríguez, Michalina Strzyz and David Vilares, A Unifying Theory of Transition-based and Sequence Labeling Parsing, in COLING 2020. The 28th International Conference on Computational Linguistics. Proceedings of the Conference, pp. 3776-3793, Barcelona, Spain (Online), 2020. ISBN 978-1-952148-27-9. DOI 10.18653/v1/2020.coling-main.336		Clasificado en GGS: Class 2, rating A (very good events); CORE: A (excellent conference, and highly respected in a discipline area); LiveSHINE: A; Microsoft Academic: A+
Ponencia en congreso	2020	Michalina Strzyz	Michalina Strzyz, David Vilares and Carlos Gómez-Rodríguez, Bracketing Encodings for 2-Planar Dependency Parsing, in COLING 2020. The 28th International Conference on Computational Linguistics. Proceedings of the Conference, pp. 2472-2484, Barcelona, Spain (Online), 2020. ISBN 978-1-952148-27-9. DOI 10.18653/v1/2020.coling-main.223		Clasificado en GGS: Class 2, rating A (very good events); CORE: A (excellent conference, and highly respected in a discipline area); LiveSHINE: A; Microsoft Academic: A+
Ponencia en congreso	2020	Michalina Strzyz	David Vilares, Michalina Strzyz, Anders Søgaard and Carlos Gómez-Rodríguez, Parsing as Pretraining, Proc. of the 34th AAAI Conference on Artificial Intelligence (AAAI-20), pp. 9114-9121, New York, NY, USA, 2020. ISSN 2159-5399. ISBN 978-1-57735-835-0. DOI 10.1609/aaai.v34i05.6446		Clasificado en GGS: Class 1, rating A++ (excellent, top notch conferences); CORE: A++ (flagship conference, a leading venue in a discipline area); LiveSHINE: A++; Microsoft Academic: A++
Ponencia en congreso	2019	Michalina Strzyz	Michalina Strzyz and Carlos Gómez-Rodríguez Speeding up Natural Language Parsing by Reusing Partial Results, Proc. of the 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019), La Rochelle, France, 2019.		Clasificado en GGS: Class 3, rating B- (events of good quality); CORE: B (good to very good conference, and well regarded in a discipline area); LiveSHINE: B; Microsoft Academic: C
Ponencia en congreso	2019	Michalina Strzyz	Michalina Strzyz, David Vilares and Carlos Gómez-Rodríguez, Sequence Labeling Parsing by Learning Across Representations, ACL 2019. The 57th Annual Meeting of the Association for Computational Linguistics. Proceedings of the Conference, pp. 5350-5357, Florence, Italy, 2019. ISBN 978-1-950737-48-2. DOI 10.18653/v1/P19-1531		Clasificado en GGS: Class 1, rating A++ (excellent, top notch conferences); CORE: A++ (flagship conference, a leading venue in a discipline area); LiveSHINE: A++; Microsoft Academic: A++
Ponencia en congreso	2019	Michalina Strzyz	Michalina Strzyz, David Vilares and Carlos Gómez-Rodríguez, Viable Dependency Parsing as Sequence Labeling, NAACL HLT 2019. The 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Proceedings of the Conference Vol. 1 (Long and Short Papers), pp. 717-723, Minneapolis, MN, USA, 2019. ISBN 978-1-950737-13-0. DOI 10.18653/v1/N19-1077		Clasificado en GGS: Class 1, rating A+ (excellent, top notch conferences); CORE: A (excellent conference, and highly respected in a discipline area); LiveSHINE: A++; Microsoft Academic: A++
Ponencia en congreso	2019	Michalina Strzyz	Michalina Strzyz, David Vilares and Carlos Gómez-Rodríguez, Towards Making a Dependency Parser See, EMNLP-IJCNLP 2019. 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing. Proceedings of the Conference, pp. 1500-1506, Hong Kong, China, 2019. ISBN 978-1-950737-90-1. DOI 10.18653/v1/D19-1160		Clasificado en GGS: Class 1, rating A+ (excellent, top notch conferences); CORE: A (excellent conference, and highly respected in a discipline area); LiveSHINE: A++; Microsoft Academic: A++
Ponencia en congreso	2019	Michalina Strzyz	Michalina Strzyz, David Vilares and Carlos Gómez-Rodríguez Learning Parsing Representations as Sequence Tagging, The first annual EurNLP Summit, London, UK, 2019.
Ponencia en congreso	2019	Michalina Strzyz	Michalina Strzyz, David Vilares and Carlos Gómez-Rodríguez Sequence Tagging for Fast Dependency Parsing, Proceedings, 21(1):49, The 2nd XoveTIC Conference (XoveTIC 2019), A Coruña, Spain, 5-6 September 2019. ISSN 2504-3900. DOI 10.3390/proceedings2019021049
Ponencia en congreso	2022	Mark D. Anderson	Parsing linearizations appreciate PoS tags - but some are fussy about errors, in AACL-IJCNLP 2022. The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing. Proceedings of the Conference (Volume 2: Short Papers), pp. 117-127, Online, 2022. ACL. ISBN 978-1-955917-64-3.		Clasificado en GSS: Class 2, Rating A- (very good events). CORE: B (good to very good conference, and well regarded in a discipline area); LiveSHINE: B; Microsoft Academic: A+
Artículo	2022	Mark D. Anderson	Mark Anderson and Carlos Gómez-Rodríguez, The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performance, Computational Linguistics, 48(3):517-554, 2022. ISSN 0891-2017. DOI 10.1162/coli_a_00440		Factor de impacto 9.3 en la edición del JCR de 2022. Posición 16/145 (Q1) en “Computer Science, Artificial Intelligence”;
Ponencia en congreso	2021	Mark D. Anderson	Mark Anderson, Mathieu Dehouck and Carlos Gómez-Rodríguez, A falta de pan, buenas son tortas: The Efficacy of Predicted UPOS Tags for Low Resource UD Parsing, in IWPT 2021. The 17th International Conference on Parsing Technologies. Proceedings of the Conference (Including the IWPT 2021 Shared Task), pp. 78-83, Bangkok, Thailand (online), 2021. ISBN 978-1-954085-80-0. DOI 10.18653/v1/2021.iwpt-1.8		Organizado por la Association for Computational Linguistics (ACL)
Ponencia en congreso	2021	Mark D. Anderson	Mark Anderson and Carlos Gómez-Rodríguez, A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021, in IWPT 2021. The 17th International Conference on Parsing Technologies. Proceedings of the Conference (Including the IWPT 2021 Shared Task), pp. 119-130, Bangkok, Thailand (online), 2021. ISBN 978-1-954085-80-0. DOI 10.18653/v1/2021.iwpt-1.12		Organizado por la Association for Computational Linguistics (ACL)
Ponencia en congreso	2021	Mark D. Anderson	Mark Anderson and Carlos Gómez-Rodríguez, What Taggers Fail to Learn, Parsers Need the Most, in Simon Dobnik and Lilja Øvrelid (eds.), Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa), volume 45 of NEALT Proceedings Series, pp. 309-314, Reykjavik, Iceland (Online), 2021. ISBN 978-91-7929-614-8, ISSN 1650-3686, eISSN 1650-3740.
Ponencia en congreso	2021	Mark D. Anderson	Mark Anderson and Carlos Gómez-Rodríguez, Splitting EUD graphs into trees: A quick and clatty approach, in IWPT 2021. The 17th International Conference on Parsing Technologies. Proceedings of the Conference (Including the IWPT 2021 Shared Task), pp. 167-174, Bangkok, Thailand (online), 2021. ISBN 978-1-954085-80-0. DOI 10.18653/v1/2021.iwpt-1.17		Organizado por la Association for Computational Linguistics (ACL)
Ponencia en congreso	2021	Mark D. Anderson	Mark Anderson, Anders Søgaard and Carlos Gómez-Rodríguez, Replicating and Extending “Because Their Treebanks Leak”: Graph Isomorphism, Covariants, and Parser Performance, ACL-IJCNLP 2021. The 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing. Proceedings of the Conference, Vol. 2 (Short Papers), pp. 1090-1098, Bangkok, Thailand (Online), 2021. ISBN 978-1-954085-53-4. DOI 10.18653/v1/2021.acl-short.138		Clasificado en GGS: Class 1, rating A++ (excellent, top notch conferences); CORE: A++ (flagship conference, a leading venue in a discipline area); LiveSHINE: A++; Microsoft Academic: A++
Ponencia en congreso	2021	Mark D. Anderson	Yova Kementchedjhieva, Mark Anderson and Anders Søgaard, John praised Mary because he? Implicit causality bias and its interaction with explicit cues in LMs, Findings of the Association for Computational Linguistics: ACL 2021, Bangkok, Thailand (Online), 2021.		Organizado y publicado por la Association for Computational Linguistics (ACL)
Ponencia en congreso	2020	Mark D. Anderson	Mark Anderson and Carlos Gómez-Rodríguez, On The Frailty of Universal POS Tags for Neural UD Parsers, in CoNLL 2020. The 24th Conference on Computational Natural Language Learning. Proceedings of the Conference, pp. 69-96, Online, 2020. ISBN 978-1-952148-63-7. DOI 10.18653/v1/2020.conll-1.6		Clasificado en GGS: Class 2, rating A (very good events); CORE: A (excellent conference, and highly respected in a discipline area); LiveSHINE: A-; Microsoft Academic: A
Ponencia en congreso	2020	Mark D. Anderson	Mark Anderson and Carlos Gómez-Rodríguez Inherent Dependency Displacement Bias of Transition-Based Algorithms, in Nicoletta Calzolari (Conference chair), Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis (eds.), LREC 2020. Twelfth International Conference on Language Resources and Evaluation. Conference Proceedings, pp. 5147-5155, Marseille, France, 2020. ISBN 979-10-95546-34-4.		Clasificado en GGS: Class 3, rating B (events of good quality); CORE: C (other ranked conference venues that meet basic standards for peer reviewed venues); LiveSHINE: A; Microsoft Academic: A
Ponencia en congreso	2020	Mark D. Anderson	Mark Anderson and Carlos Gómez-Rodríguez, Distilling Neural Networks for Greener and Faster Dependency Parsing, in IWPT 2020. The 16th International Conference on Parsing Technologies and IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies. Proceedings of the Conference, pp. 2-13, Seattle, WA, USA (Online), 2020. ISBN 978-1-952148-11-8. DOI 10.18653/v1/2020.iwpt-1.2		Organizado por la Association for Computational Linguistics (ACL)
Ponencia en congreso	2020	Mark D. Anderson	Mathieu Dehouck, Mark Anderson and Carlos Gómez-Rodríguez, Efficient EUD Parsing, in IWPT 2020. The 16th International Conference on Parsing Technologies and IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies. Proceedings of the Conference, pp. 192-205, Seattle, WA, USA (Online), 2020. ISBN 978-1-952148-11-8. DOI 10.18653/v1/2020.iwpt-1.20		Organizado por la Association for Computational Linguistics (ACL)
Ponencia en congreso	2019	Mark D. Anderson	Mark Anderson, David Vilares and Carlos Gómez-Rodríguez Artificially Evolved Chunks for Morphosyntactic Analysis, in TLT 2019. 18th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2019). Proceedings, pp. 133-143, Paris, France, 2019. ISBN 978-1-950737-64-2. DOI 10.18653/v1/W19-7815
Ponencia en congreso	2018	Mark D. Anderson	Mark Anderson and David Vilares Increasing NLP Parsing Efficiency with Chunking, Proceedings, 2(18):1160, XoveTIC Congress 2018, A Coruña, Spain, 27–28 September 2018. ISSN 2504-3900. DOI 10.3390/proceedings2181160
Artículo congreso	2023	Tirso Varela Rodeiro/Pablo Gutiérrez Asorey	Benjamin Letelier; Brisaboa, N. R.; Gutiérrez Asorey, P.; Paramá, J. R.; Varela Rodeiro, T.: "Compacting Massive Public Transport Data, Proc. of 30th International Symposium on String Processing and Information Retrieval (SPIRE2023), Pisa (Italia), 2023.		Congreso internacional, GGS Class 3, Rating B
Artículo JCR	2022	Tirso Varela Rodeiro/Pablo Gutiérrez Asorey	Fariña, A.; Gutiérrez Asorey, P.; Ladra, S.; Penabad, M. R.; Varela Rodeiro, T.: "A Compact Representation for Indoor Trajectories", IEEE Pervasive Computing, 21(1), IEEE Computer SOC, California (Estados Unidos), 2022, pp. 57-64.		JCR Q3 – 168/250 (2022)
Artículo JCR	2022	Tirso Varela Rodeiro	Brisaboa, N.R.; Fariña, A.; Galaktionov, D.; Varela Rodeiro, T.; Rodríguez, M. Andrea: "Improved structures to solve aggregated queries for trips over public transportation networks", Information Sciences, 584, Elsevier Ltd., New Yor, 2022, pp. 752-783.		JCR Q1 – 13/158 (2022)
Artículo congreso	2022	Tirso Varela Rodeiro/Pablo Gutiérrez Asorey	Brisaboa, N. R.; de Bernardo, Guillermo; Gutiérrez Asorey, P.; Paramá, J. R.; Silva Coira, F.; Varela Rodeiro, T.: "A New Tool Based on GIS Technology for Massive Public Transport Data", Proceedings of the 11th International Conference on Model & Data Engineering (MEDI 2022)- LNCS 13761, Springer, El Cairo (Exipto), 2022, pp. 121-135.		Congreso Internacional, CORE C
Artículo congreso	2022	Tirso Varela Rodeiro/Pablo Gutiérrez Asorey	Brisaboa, N. R.; Cortiñas, A.; Gutiérrez Asorey, P.; Luaces, M. R.; Varela Rodeiro, T.: "Efficient Multiscale Representations for Geographical Objects", Proc.19th Int. Symposium Web and Wireless Geographical Information Systems (W2GIS 2022) - LNCS 13238, Springer , Konstanz (Alemaña), 2022, pp. 71-81.		Congreso Internacional, CORE C
Artículo JCR	2022	Tirso Varela Rodeiro/Pablo Gutiérrez Asorey	Fariña, A.; Gutiérrez Asorey, P.; Ladra, S.; Penabad, M. R.; Varela Rodeiro, T.: "A Compact Representation for Indoor Trajectories", IEEE Pervasive Computing, 21(1), IEEE Computer SOC, California (Estados Unidos), 2022, pp. 57-64.		JCR Q3 – 168/250 (2022)
Artículo congreso	2021	Tirso Varela Rodeiro	Brisaboa, N. R.; Fariña, A.; Otero-González, D.; Varela Rodeiro, T.: "An Efficient Representation of Enriched Temporal Trajectories", Proceedings of the 10th Int. Conference on Data Science, Technology and Applications (DATA 2021), SCITEPRESS, online (Francia), 2021, pp. 49-59.		Congreso Internacional, CORE C
Artículo congreso	2020	Tirso Varela Rodeiro	Brisaboa, N. R.; Fariña, A.; Navarro, G.; Varela Rodeiro, T.: "Semantrix: A Compressed Semantic Matrix", Proceedings of the 2020 Data Compression Conference (DCC 2020), IEEE Computer Society, Snowbird, Utah (Estados Unidos), 2020, pp. 113-122.		Congreso internacional, GGS Class 3, Rating B
Artículo congreso	2019	Adrián Gómez Bandón / Tirso Varela Rodeiro	Brisaboa, N. R.; Fariña, A.; Gomez Brandon, A.; Navarro, G.; Varela Rodeiro, T.: "Dv2v: A Dynamic Variable-to-Variable Compressor", Proceedings of the 2019 Data Compression Conference (DCC 2019), IEEE Computer Society, Snowbird, Utah (Estados Unidos), 2019, pp. 83-92.		Congreso internacional, GGS Class 2, Rating A-
Artículo congreso	2018	Tirso Varela Rodeiro	Brisaboa, N. R.; de Bernardo, Guillermo; Navarro, G.; Varela Rodeiro, T.; Seco, D.: "Compact Representations of Event Sequences", en Proceedings of the 2018 Data Compression Conference (DCC 2018), IEEE Computer Society, Snowbird, Utah (Estados Unidos), 2018, pp. 237-246.		Congreso internacional, GGS Class 2, Rating A-
Artículo congreso	2018	Tirso Varela Rodeiro	Cortiñas, A.; Luaces, M. R.; Varela Rodeiro, T.: "Storing and Clustering Large Spatial Datasets Using Big Data Technologies", en Proc.16th Int. Symposium Web and Wireless Geographical Information Systems (W2GIS 2018) - LNCS 10819, Springer, A Coruña (España), 2018, pp. 15-24.		Congreso internacional, Core C
Artículo congreso	2018	Tirso Varela Rodeiro	Cortiñas, A.; Luaces, M. R.; Varela Rodeiro, T.: "A Case Study on Visualizing Large Spatial Datasets in a Web-Based Map Viewer", en Proc. of the 18th International Conference On Web Engineering (ICWE 2018), Springer International Publishing, Cáceres (España), 2018, pp. 296-303.		Congreso internacional, GGS Class 3, Rating B
Artículo JCR	2023	Adrián Gómez Brandón	Gomez Brandon, A.; Navarro, G.; Paramá, J. R.; Brisaboa, N. R.; Gagie, T.: "Stronger Compact Representations of Object Trajectories", Geo-spatial Information Science (to appear), Taylor&Francis Ltd, Oxon (Reino Unido), 2023.		JCR Q1 – 8/33 (2022)
Artículo JCR	2023	Adrián Gómez Brandón	Diego Arroyuelo; Gomez Brandon, A.; Aidan Hogan; Navarro, G.; Javier Rojas-Ledesma: "Optimizing RPQs over a Compact Graph Representation", The VLDB Journal, Springer, NY (Estados Unidos), 2023.		JCR Q2 – 16/54 (2022)
Artículo congreso	2023	Adrián Gómez Brandón	Diego Arroyuelo; Gomez Brandon, A.; Navarro, G.: "Evaluating Regular Path Queries on Compressed Adjacency Matrices", Proc. of 30th International Symposium on String Processing and Information Retrieval (SPIRE 2023), Pisa (Italia), 2023..		Congreso internacional, GGS Class 3, Rating B
Artículo JCR	2022	Adrián Gómez Brandón	Brisaboa, N. R.; Gagie, T.; Gomez Brandon, A.; Navarro, G.: "Two-Dimensional Block Trees", The Computer Journal, Oxford University Press, Reino Unido, 2022.		JCR Q4 – 47/54 (2022)
Artículo congreso	2021	Adrián Gómez Brandón	Daniela Campos; Gomez Brandon, A.; Navarro, G.: "A Disk-Based Index for Trajectories with an In-Memory Compressed Cache", Proceedings of the 2021 Data Compression Conference (DCC 2021), IEEE Xplore, Snowbird, Utah (Estados Unidos), 2021, pp. 340-340.		Congreso internacional, GGS Class 3, Rating B
Artículo JCR	2021	Adrián Gómez Brandón	Gomez Brandon, A.; Paramá, J. R.; Villalobos, K.; Illarramendi, A.; Brisaboa, N. R.: "Lossless compression of industrial time series with direct access", Computers in Industry, 132, Elsevier, Amsterdam (Países Baixos), 2021.		JCR Q1 – 5/112 (2021)
Artículo JCR	2021	Adrián Gómez Brandón	Brisaboa, N. R.; Gagie, T.; Gomez Brandon, A.; Navarro, G.; Paramá, J. R.: "An index for moving objects with constant-time access to their compressed trajectories", International Journal of Geographical Information Science, 35(7), Taylor & Francis, Oxon (Reino Unido), 2021, pp. 1392-1424.		JCR Q1 – 40/164 (2021)
Artículo congreso	2020	Adrián Gómez Brandón	Gomez Brandon, A.: "Bitvectors with runs and the successor/predecessor problem", en Proceedings of the 2020 Data Compression Conference (DCC 2020) to appear, IEEE Computer Society, Snowbird, Utah (Estados Unidos), 2020.		Congreso internacional, GGS Class 2, Rating A-
Artículo JCR	2020	Adrián Gómez Brandón	Brisaboa, N. R.; Gagie, T.; Gomez Brandon, A.; Navarro, G.; Paramá, J. R.: "An index for moving objects with constant-time access to their compressed trajectories", International Journal of Geographical Information Science, Taylor & Francis, 2020, 1-33.		JCR Q1 – 36/156 (2019)
Artículo JCR	2019	Adrian Gómez Brandón	Brisaboa, N. R.; Gomez Brandon, A.; Navarro, G.; Paramá, J. R.: “GraCT: A Grammar-based Compressed Index for Trajectory Data”, Information Sciences, 483, Elsevier, New York (Estados Unidos), 2019, pp. 106-135		JCR Q1 – 9/155 (2018)
Artículo congreso	2018	Adrián Gómez Brandón	Brisaboa, N. R.; Gagie, T.; Gomez Brandon, A.; Navarro, G.: "Two-Dimensional Block Trees", en Proceedings of the 2018 Data Compression Conference (DCC 2018), IEEE Computer Society, Snowbird, Utah (Estados Unidos), 2018, pp. 227-236.		Congreso internacional, GGS Class 2, Rating A-
Artículo congreso	2018	Adrián Gómez Brandón	Brisaboa, N. R.; Gomez Brandon, A.; Martínez Prieto, M.A.; Paramá, J. R.: "3DGraCT: A Grammar based Compressed representation of 3D Trajectories", en Proc. of the 25th Int. Symp. on String Proc. and Information Retrieval (SPIRE 2018) - LNCS 11147, Springer, Lima (Perú), 2018, pp. 102-116.		Congreso internacional, GGS Class 3, Rating B
Artículo JCR	2020	Narciso López López	Andrea Vázquez; Lopez Lopez, N.; Josselin Houenou; Cyril Poupon; Jean-François Mangin; Ladra, S.; Pamela Guevara: "Automatic group-wise whole-brain short association fiber bundle labeling based on clustering and cortical surface information", BioMedical Engineering OnLine, 19, Springer Nature, London (Reino Unido), 2020.		JCR Q3 – 56/87 (2019)
Artículo JCR	2020	Narciso López López	Lopez Lopez, N.; Andrea Vázquez; Josselin Houenou; Cyril Poupon; Jean-François Mangin; Ladra, S.; Pamela Guevara: "From coarse to fine-grained parcellation of the cortical surface using a fiber-bundle atlas", Frontiers in Neuroinformatics, Frontiers Media SA, Lausanne (Suíza), 2020.		JCR Q1 13/59 (2019)
Artículo	2022	Laura Morán Fernández	Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos. Low-precision feature selection on microarray data: an information theoretic approach. Medical & Biological Engineering & Computing, 2022, vol. 60, no 5, p. 1333-1345.		Factor de Impacto (JCR 2022) = 3,2. Ranking en la categoría Computer Science, Interdisciplinary Applications (JCR 2022) = 60 de 110 (Q3)
Artículo	2022	Laura Morán Fernández	Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos. How important is data quality? Best classifiers vs best features. Neurocomputing, 2022, vol. 470, p. 365-375.		Factor de Impacto (JCR 2022) = 6,0. Ranking en la categoría Computer Science, Artificial Intelligence (JCR 2022) = 41 de 145 (Q2)
CAPÍTULO DE LIBRO	2022	Laura Morán Fernández	Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Laura Morán-Fernández, B. Cancela. Feature selection: From the past to the future. En Advances in Selected Artificial Intelligence Areas: World Outstanding Women in Artificial Intelligence. Cham: Springer International Publishing, 2022. p. 11-34.
Artículo	2020	Laura Morán Fernández	Laura Morán-Fernández, Konstantinos Sechidis, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Gavin Brown (2020). Feature selection with limited bit depth mutual information for portable embedded systems. Knowledge-Based Systems, 197: 105885.		Factor de Impacto (JCR 2019) = 5,921. Ranking en la categoría Computer Science, Artificial Intelligence = 15 de 137 (Q1)
Ponencia en congreso	2020	Laura Morán Fernández	Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos. Do we need hundreds of classifiers or a good feature selection? In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2020).		Congreso internacional organizado por la Universidad Católica de Louvain. GII-GRIN-SCIE (GGS) Conference Rating: B (CORE: B, LiveSHINE: B, MA: B)
Ponencia en congreso	2020	Laura Morán Fernández	Laura Morán-Fernández; Eva Blanco-Mallo; Konstantinos Sechidis; Amparo Alonso-Betanzos; Verónica Bolón-Canedo. “When Size Matters: Markov Blanket with Limited Bit Depth Conditional Mutual Information”, ITEM Workshop (ECML-PKDD’20), IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, Springer, pp. 243-255, 2020.		Congreso internacional. GII-GRIN-SCIE (GGS) Conference Rating: A (CORE: A, LiveSHINE: A, MA: A+)
Capítulo de libro	2019	Laura Morán Fernández	Alonso-Betanzos A., Bolón-Canedo V., Morán-Fernández L., Seijo-Pardo B. (2019) Feature Selection Applied to Microarray Data. In: Bolón-Canedo V., Alonso-Betanzos A. (eds) Microarray Bioinformatics. Methods in Molecular Biology, vol 1986, pp 123-152. Humana, New York
Capítulo de libro	2019	Laura Morán Fernández	Alonso-Betanzos A., Bolón-Canedo V., Morán-Fernández L., Sánchez-Maroño N. (2019) A Review of Microarray Datasets: Where to Find Them and Specific Characteristics. In: Bolón-Canedo V., Alonso-Betanzos A. (eds) Microarray Bioinformatics. Methods in Molecular Biology, vol 1986, pp 65-85. Humana, New York
Artículo	2019	Laura Morán Fernández	Pablo Montero-Manso, Laura Morán-Fernández, Verónica Bolón-Canedo, José A. Vilar, Amparo Alonso-Betanzos (2019). Distributed classification based on distances between probability distributions in feature space. Information Sciences, 496 (September): 431-450		Factor de Impacto (JCR 2019) = 5,910. Ranking en la categoría Computer Science, Information Systems = 9 de 156 (Q1)
Capítulo de libro	2018	Laura Morán Fernández	Alonso-Betanzos A., Bolón-Canedo V., Eiras-Franco C., Morán-Fernández L., Seijo-Pardo B. (2018) Preprocessing in High Dimensional Datasets. In: Holmes D., Jain L. (eds) Advances in Biomedical Informatics. Intelligent Systems Reference Library, vol 137, pp. 247-271. Springer, Cham.
Ponencia en congreso	2018	Laura Morán Fernández	Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos. Feature selection with limited bit depth mutual information for embedded systems. In proceedings of XoveTIC Conference 2018, 2(18):1187, A Coruña (España), septiembre 2018.		Congreso nacional organizado por el Centro de Investigación TIC (CITIC) de la Universidade da Coruña
Artículo	2017	Laura Morán Fernández	Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos (2017). Can classification performance be predicted by complexity measures? A study using microarray data. Knowledge and Information Systems, 51 (3): 1067-1090.		Factor de Impacto (JCR 2017) = 2,247. Ranking en la categoría Computer Science, Artificial Intelligence = 49 de 132 (Q2)
Artículo	2017	Laura Morán Fernández	Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos (2017). Centralized vs. distributed feature selection methods based on data complexity measures. Knowledge-Based Systems, 117: 25-47.		Factor de Impacto (JCR 2017) = 4,396. Ranking en la categoría Computer Science, Artificial Intelligence = 14 de 132 (Q1)
Ponencia en congreso	2017	Laura Morán Fernández	Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos. A distributed approach for classification using distance metrics. In proceedings of 25th European Symposium on Artificial Neural Networks (ESANN2017), pp: 553-558, Brujas (Bélgica).		Congreso internacional organizado por la Universidad Católica de Louvain. GII-GRIN-SCIE (GGS) Conference Rating: B, CORE:B, MA:B, SHINE:B
Ponencia en congreso	2017	Laura Morán Fernández	Laura Morán-Fernández; Verónica Bolón-Canedo; Amparo Alonso-Betanzos. “Método de selección de características distribuido basado en medidas de complejidad de datos”. Machine Learning Workshop Galicia (WGML’17), 2017. Santiago de Compostela, España.		Workshop nacional
Ponencia en congreso	2016	Laura Morán Fernández	Laura Morán-Fernández; Verónica Bolón-Canedo; Amparo Alonso-Betanzos. “A distributed feature selection method based on data complexity measures”. The Women in Machine Learning Organization (WiML’16), 2016. Barcelona, España		Workshop internacional organizado por la WIML
Ponencia en congreso	2015	Laura Morán Fernández	Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos. A time efficient approach for distributed feature selection partitioning by features. In proceedings of 16th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2015), pp 245-254, Albacete (Spain), noviembre 2015.		Congreso nacional organizado por AEPIA (Asociación Española para la Inteligencia Artificial)
Ponencia en congreso	2015	Laura Morán Fernández	Verónica Bolón-Canedo, Laura Morán-Fernández, Amparo Alonso-Betanzos. An insight on complexity measures and classification in microarray data. In proceedings of International Joint Conference on Artificial Neural Networks (IJCNN 2015), pp 1-8, Killarney (Irlanda), julio 2015.		Congreso internacional. GII-GRIN-SCIE (GGS) Conference Rating: B (CORE:A, MA:C, LiveSHINE:A-)
Artículo JCR	2018	D. Galaktionov	Brisaboa, N. R.; Fariña, A.; Galaktionov, D.; Rodríguez, M. Andrea: "A Compact Representation for Trips over Networks built on self-indexes", Information Systems, 78, Elsevier Ltd., Oxford (Reino Unido), 2018, pp. 1-22.		JCR Q3 82/155 (2018)
Artículo congreso	2018	D. Galaktionov / Tirso Varela Rodeiro	Brisaboa, N. R.; Fariña, A.; Galaktionov, D.; Varela Rodeiro, T.; Rodríguez, M. Andrea: "New structures to solve aggregated queries for trips over public transportation networks", en Proc. of the 25th Int. Symp. on String Proc. and Information Retrieval (SPIRE 2018) - LNCS 11147, Springer, Lima (Perú), 2018, pp. 88-101.		Congreso internacional, GGS Class 3, Rating B
Artículo	2020	Carlos Eiras Franco	Carlos Eiras-Franco, Antonio Bahamonde, Bertha Guijarro-Berdiñas & Amparo Alonso-Betanzos (2021). Scalable Feature Selection Using ReliefF Aided by Locality-Sensitive Hashing. International Journal of Intelligent Systems. In Press		Factor de Impacto (JCR 2019) = 10,312. Ranking en la categoría Computer Science, Artificial Intelligence = 6 de 137 (Q1)
Artículo	2020	Carlos Eiras Franco	Carlos Eiras-Franco, David Martínez-Rego, Leslie Kanthan, César Piñeiro, Antonio Bahamonde, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos (2020). Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing. ACM Transactions on Intelligent Systems and Technology, 11 (6): 1-18		Factor de Impacto (JCR 2019) = 2,672. Ranking en la categoría Computer Science, Artificial Intelligence = 58 de 137 (Q2)
Artículo	2019	Carlos Eiras Franco	Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde (2019). A scalable decision-tree-based method to explain interactions in dyadic data. Decision Support Systems, 127: 113141		Factor de Impacto (JCR 2019) = 4,721. Ranking en la categoría Computer Science, Information Systems = 23 de 156 (Q1)
Artículo	2019	Carlos Eiras Franco	Carlos Eiras-Franco, David Martínez-Rego, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde (2019). Large scale anomaly detection in mixed numerical and categorical input spaces. Information Sciences, 487 (June 2019): 115-127.		Factor de Impacto (JCR 2019) = 5,910. Ranking en la categoría Computer Science, Information Systems = 9 de 156 (Q1)
Ponencia en congreso	2019	Carlos Eiras Franco	Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde (2019). Interpretable Market Segmentation on High Dimension Data. In Proceedings of XoveTIC Congress 2018, Volume 2(18): 1171, A Coruña (Spain), September 2018.		Congreso nacional organizado por el Centro de Investigación TIC (CITIC) de la Universidade da Coruña
Ponencia en congreso	2018	Carlos Eiras Franco	Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde-Rionda. Selección de características escalable con ReliefF mediante el uso de Hashing Sensible a la Localidad. In proceedings of 18th Conference of the Spanish Association for Artificial Intelligence (CAEPIA), pp 1123-1128, Granada (España), Octubre 2018		Congreso nacional organizado por AEPIA (Asociación Española para la Inteligencia Artificial)
Ponencia en congreso	2018	Carlos Eiras Franco	Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde-Rionda. Segmentación de mercado explicable sobre datos de alta dimensión. In proceedings of 18th Conference of the Spanish Association for Artificial Intelligence (CAEPIA), pp 1099-1104, Granada (España), Octubre 2018		Congreso nacional organizado por AEPIA (Asociación Española para la Inteligencia Artificial)
Ponencia en congreso	2017	Carlos Eiras Franco	Carlos Eiras-Franco, Leslie Kanthan, Amparo Alonso-Betanzos, David Martínez-Rego. Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing. In proceedings of 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pp. 535-540, Bruges (Belgium), April 2015		Congreso internacional organizado por la Universidad Católica de Louvain. GII-GRIN-SCIE (GGS) Conference Rating: B, CORE:B, MA:B, SHINE:B
Artículo	2016	Carlos Eiras Franco	Carlos Eiras-Franco, Verónica Bolón-Canedo, Sabela Ramos, Jorge González-Domínguez, Amparo Alonso-Betanzos, Juan Touriño (2016). Multithreaded and Spark parallelization of feature selection filters. Journal of Computational Science, 17 (3): 609-619.		Factor de Impacto (JCR 2016) = 1,748. Ranking en la categoría Computer Science, Theory & Methods = 38 de 104 (Q2)
Ponencia en congreso	2015	Carlos Eiras Franco	Carlos Eiras-Franco, Verónica Bolón-Canedo, Sabela Ramos, Jorge González-Domınguez, Amparo Alonso-Betanzos, Juan Tourino. Paralelización de algoritmos de selección de caracterıticas en la plataforma weka. Actas de XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), pp 949-958, Albacete (España), noviembre 2015		Congreso nacional organizado por AEPIA (Asociación Española para la Inteligencia Artificial)
Artículo	2021	Yerai Doval Mosquera	Yerai Doval, Buscando robustez en un mundo multilingüe: de pipelines a embeddings, Procesamiento del Lenguaje Natural, 66:209-212, 2021. ISSN 1135-5948. DOI 10.26342/2021-66-20		Factor de impacto 0.21 en la edición del JCR de 2021; Posición 234/274 (Q4) en “Linguistics” (ESCI)
Artículo	2020	Yerai Doval Mosquera	Yerai Doval, Jesús Vilares and Carlos Gómez-Rodríguez, Towards robust word embeddings for noisy texts, Applied Sciences, 10(19):6894. ISSN 2076-3417. DOI 10.3390/app10196893		Factor de impacto 2.679 en la edición del JCR de 2020; Posición 38 de 91 (Q1) en “Engineering, Multidisciplinary”
Artículo	2019	Yerai Doval Mosquera	Yerai Doval and Carlos Gómez-Rodríguez, Comparing Neural and N-gram-based Language Models for Word Segmentation, Journal of the Association for Information Science and Technology (JASIST), 70(2):187-197, 2019. ISSN 2330-1635. DOI 10.1002/asi.24082		Factor de impacto 2.738 en la edición del JCR de 2018 (última disponible). Posición 21 de 89 (Q1) en “Information Science & Library Science”; Posición 56/155 (Q2) en “Computer Science, information Systems”
Artículo	2018	Yerai Doval Mosquera	Yerai Doval, Manuel Vilares and Jesús Vilares, On the performance of phonetic algorithms in microtext normalization, Expert Systems with Applications, 113:213-222, 2018. ISSN 0957-4174. DOI 10.1016/j.eswa.2018.07.016		Factor de impacto 4.292 en la edición del JCR de 2018. Posición 24 de 134 (Q1) en “Computer Science, Artificial intelligence”
Ponencia en congreso	2018	Yerai Doval Mosquera	Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke and Steven Schockaert, Improving Cross-Lingual Word Embeddings by Meeting in the Middle, EMNLP 2018. The Conference on Empirical Methods in Natural Language Processing. Proceedings of the Conference, pp. 294–304, Brussels, Belgium, 2018. ISBN 978-1-948087-84-1.		Clasificado en GGS: Class 1, rating A+ (excellent, top notch conferences); CORE: A (excellent conference, and highly respected in a discipline area); LiveSHINE: A++; Microsoft Academic: A++
Artículo	2016	Yerai Doval Mosquera	Jesús Vilares, Miguel A. Alonso, Yerai Doval and Manuel Vilares, Studying the Effect and Treatment of Misspelled Queries in Cross-Language Information Retrieval, Information Processing & Management, 52(4):646-657, 2016. ISSN 0306-4573. DOI 10.1016/j.ipm.2015.12.010		Factor de impacto 3.892 en la edición del JCR de 2018. Posición 27 de 155 (Q1) en “Computer Science, Information Systems”.
Artículo	2016	Yerai Doval Mosquera	Yerai Doval, Carlos Gómez-Rodríguez and Jesús Vilares, Segmentación de palabras en español mediante modelos del lenguaje basados en redes neuronales, Procesamiento del Lenguaje Natural, 57:75-82, 2016. ISSN 1135-5948.		Revista indexada en Emerging Sources Citation Index de Web of Science; certificado de Revista Excelente FECYT-099/2012 de la Fundación Española para la Ciencia y la Tecnología, renovado en 2015
Ponencia en congreso	2016	Yerai Doval Mosquera	Yerai Doval, Carlos Gómez-Rodríguez and Jesús Vilares, Shallow Recurrent Neural Network for Personality Recognition in Source Code, in Prasenjit Majumder, Mandar Mitra, Parth Mehta, Jainisha Sankhavara and Kripabandhu Ghosh (eds.), Working notes of FIRE 2016 - Forum for Information Retrieval Evaluation, CEUR Workshop Proceedings, Vol. 1737, pp. 33-37, 2016. ISSN 1613-0073.		Organizado en colaboración con ACM SIGIR.
Ponencia en congreso	2015	Yerai Doval Mosquera	Yerai Doval, Jesús Vilares and Carlos Gómez-Rodríguez, LYSGROUP: Adapting a Spanish microtext normalization system to English, in ACL 2015 Workshop on Noisy User-generated Text. Proceedings of the Workshop, pp. 99-105, Beijing, China, 2015. ISBN 978-1-941643-69-3. DOI 10.18653/v1/W15-4315		Organizado y publicado por la Association for Computational Linguistics (ACL)
Artículo	2019	Borja Seijo-Pardo	Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos (2019). On developing an automatic threshold applied to feature selection ensembles. Information Fusion, 45: 227-245.		Factor de Impacto (JCR 2018) = 10,716. Ranking en la categoría Computer Science, Artificial Intelligence = 3 de 134 (Q1)
Artículo	2019	Borja Seijo-Pardo	Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Julie Josse, Mehreen Saeed, Isabelle Guyon (2019). Biases in feature selection with missing data. Neurocomputing, 342: 97-112		Factor de Impacto (JCR 2018) = 4,072. Ranking en la categoría Computer Science, Artificial Intelligence = 28 de 134 (Q1)
Ponencia en congreso	2018	Borja Seijo-Pardo	Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin Bennett, Verónica Bolón-Canedo, Isabelle Guyon, Julie Josse, Mehreen Saeed (2018). Analysis of imputation bias for feature selection with missing data. In proceedings of 22st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018), pp 655-660, Bruges (Belgium), April 2018.		Congreso internacional organizado por la Universidad Católica de Louvain. GII-GRIN-SCIE (GGS) Conference Rating: B, CORE:B, MA:B, SHINE:B
Artículo	2017	Borja Seijo-Pardo	Borja Seijo-Pardo, Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos (2017). Ensemble feature selection: Homogeneous and heterogeneous approaches. Knowledge-Based Systems, 118: 124-139		Factor de Impacto (JCR 2017) = 4,396. Ranking en la categoría Computer Science, Artificial Intelligence = 14 de 132 (Q1)
Artículo	2017	Borja Seijo-Pardo	Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos (2017). Testing different ensemble configurations for feature selection. Neural Processing Letters, 46 (3): 857-880.		Factor de Impacto (JCR 2017) = 1,787. Ranking en la categoría Computer Science, Artificial Intelligence = 63 de 132 (Q2)
Ponencia en congreso	2016	Borja Seijo-Pardo	Borja Seijo-Pardo, Verónica Bolón-Canedo and Amparo Alonso-Betanzos. Using a Feature Selection Ensemble on DNA Microarray Datasets. In proceedings of 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pp 277-282, Bruges (Belgium), April 2016.		Congreso internacional organizado por la Universidad Católica de Louvain. GII-GRIN-SCIE (GGS) Conference Rating: B, CORE:B, MA:B, SHINE:B
Ponencia en congreso	2016	Borja Seijo-Pardo	Borja Seijo-Pardo, Verónica Bolón-Canedo and Amparo Alonso-Betanzos. Using Data Complexity Measures for Thresholding in Feature Selection Rankers. Actas de XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), pp 121-131, Salamanca (España), Septiembre 2016		Congreso nacional organizado por AEPIA (Asociación Española para la Inteligencia Artificial)
Ponencia en congreso	2015	Borja Seijo-Pardo	Borja Seijo-Pardo, Verónica Bolón-Canedo, Iago Porto-Díaz, Amparo Alonso-Betanzos. Ensemble Feature Selection for Rankings of Features. In proceedings of International Work Conference on Artificial Neural Networks (IWANN) – part II, pp 29-42, palma de Mallorca (Spain), June 2015.		Congreso internacional. GII-GRIN-SCIE (GGS) Conference Rating: B-, CORE:B, MA:C, SHINE:B
Revista	2017	José Joaquim de Moura Ramos	J. de Moura, J. Novo, P. Charlón, N. Barreira, M. Ortega. “Enhanced visualization of the retinal vasculature using depth information in OCT”. Medical & Biological Engineering & Computing, 55(12), 2209-2225, 2017.		JCR Factor de impacto: 1.971 (año 2017) Posición 23 de 59 (Q2) en la categoría MATHEMATICAL & COMPUTATIONAL BIOLOGY
Revista	2018	José Joaquim de Moura Ramos	G. Samagaio, A. Estévez, J. de Moura, J. Novo, M. I. Fernández, M. Ortega. “Automatic macular edema identification and characterization using OCT images”. Computer Methods and Programs in Biomedicine, 163, 47-63, 2018		JCR Factor de impacto: 3.424 (año 2018) Posición 15 de 105 (Q1) en la categoría Computer Science, Theory & Methods
Revista	2018	José Joaquim de Moura Ramos	J. de Moura, J. Novo, J. Rouco, P. Charlón, M. Ortega. “Artery/vein vessel tree identification in near-infrared reflectance retinographies”. Journal of Digital Imaging, 2019, p. 1-16		JCR Factor de impacto: 2.572 (año 2018) Posición 51 de 129 (Q2) en la categoría RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Revista	2019	José Joaquim de Moura Ramos	S. Baamonde, J. de Moura, J. Novo, P. Charlón, M. Ortega. “Automatic identification and characterization of the Epiretinal Membrane in OCT images”. Biomedical Optics Express, 2019, 10(8), p. 4018–4033.		JCR FI: 3.91 (año 2018) Posición 22 de 129 (Q1) en la categoría RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Capítulo de libro	2018	José Joaquim de Moura Ramos	J. de Moura, J. Novo, J. Rouco, N. Barreira, M. G. Penedo, M. Ortega. “Retinal Vasculature Identification and Characterization Using OCT Imaging”. OCT - Applications in Ophthalmology, 23-40, InTechOpen, ISBN: 978-953-51-6693-1, 2018.
International Conference	2016	José Joaquim de Moura Ramos	J. de Moura, J. Novo, M. Ortega, N. Barreira, M. G. Penedo. “3D retinal vessel tree segmentation and reconstruction with OCT images”. Lecture Notes in Computer Science:Image Analysis and Recognition (ICIAR), 9730, 716-726, 2016		CORE C
International Conference	2016	José Joaquim de Moura Ramos	J. de Moura, J. Novo, M. Ortega, N. Barreira, M. G. Penedo. “Vessel Tree Extraction and Depth Estimation with OCT Images”. Lecture Notes in Artificial Intelligence: Advances in Artificial Intelligence (CAEPIA), 23-33, 2016.		Lecture Notes in Artificial Intelligence
International Conference	2017	José Joaquim de Moura Ramos	J. de Moura, J. Novo, M. Ortega, N. Barreira, M. G. Penedo. “Interactive Three-Dimensional Visualization System of the Vascular Structure in OCT Retinal Images”. 16th International Conference on Computer Aided Systems Theory (EUROCAST), 231-232, Canary Islands, Spain, February 2017.		Lecture Notes in Computer Science: Computer Aided Systems Theory, Revised Selected Papers,
International Conference	2017	José Joaquim de Moura Ramos	J. de Moura, J. Novo, M. Ortega, N. Barreira, P. Charlón. “Artery/vein classification of blood vessel tree in retinal imaging”. 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), 4, 371-377, Porto-Portugal, February 2017.		CORE B
International Conference	2017	José Joaquim de Moura Ramos	S. Baamonde, J. de Moura, J. Novo, M. Ortega. “Automatic Detection of Epiretinal Membrane in OCT Images by Means of Local Luminosity Patterns”. Lecture Notes in Artificial Intelligence: Advances in Computational Intelligence (IWANN), 10305, 222-235, 2017		CORE B
International Conference	2017	José Joaquim de Moura Ramos	J. de Moura, J. Novo, J. Rouco, M. G. Penedo, M. Ortega. “Automatic Detection of Blood Vessels in Retinal OCT Images”. Lecture Notes in Artificial Intelligence: Biomedical Applications Based on Natural and Artificial Computing (IWINAC), 3-10, 2017.		Lecture Notes in Artificial Intelligence
International Conference	2017	José Joaquim de Moura Ramos	J. de Moura, J. Novo, J. Rouco, M. G. Penedo, M. Ortega. “Automatic Identification of Intraretinal Cystoid Regions in Optical Coherence Tomography”. Lecture Notes in Computer Science: Artificial Intelligence in Medicine (AIME), 10259, 305-315, 2017.		CORE B
International Conference	2017	José Joaquim de Moura Ramos	G. Samagaio, J. de Moura, J. Novo, M. Ortega. “Optical Coherence Tomography Denoising by Means of a Fourier Butterworth Filter-based Approach”. Lecture Notes in Computer Science: Image Analysis and Processing (ICIAP), 10484, 422-432, 2017		CORE B
International Conference	2017	José Joaquim de Moura Ramos	S. Baamonde, J. de Moura, J. Novo, J. Rouco, M. Ortega. “Feature definition and selection for epiretinal membrane characterization in Optical Coherence Tomography images”. Lecture Notes in Computer Science: Image Analysis and Processing (ICIAP), 10484, 456-466, 2017.		CORE B
International Conference	2017	José Joaquim de Moura Ramos	J. de Moura, P. L. Vidal, J. Novo, J. Rouco, M. Ortega. “Feature definition, analysis and selection for cystoid region characterization in Optical Coherence Tomography.” Procedia Computer Science: Knowledge-Based and Information & Engineering Systems (KES), 112, 1369-1377, 2017.		CORE B
Capítulo de libro	2017	José Joaquim de Moura Ramos	J. de Moura, J. Novo, M. Ortega, N. Barreira, M. G. Penedo. “Interactive Three-Dimensional Visualization System of the Vascular Structure in OCT Retinal Images”. Lecture Notes in Computer Science: Computer Aided Systems Theory, Revised Selected Papers, 10672, 306-313, 2017.
International Conference	2018	José Joaquim de Moura Ramos	G. Samagaio, A. Estévez, J. de Moura, J. Novo, M. Ortega, M. Fernández. “Automatic Identification of Macular Edema in Optical Coherence Tomography Images”. 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), 4, 533-540, Funchal-Portugal, January 2018.		CORE B
International Conference	2018	José Joaquim de Moura Ramos	J. de Moura, J. Novo, S. Penas, M. Ortega, J. Silva, A. Mendonça. “Automatic Characterization of the Serous Retinal Detachment Associated with the Subretinal Fluid Presence in Optical Coherence Tomography Images”. Procedia Computer Science: Knowledge-Based and Intelligent Information & Engineering Systems (KES), 126, 244-253, 2018.		CORE B
International Conference	2018	José Joaquim de Moura Ramos	G. Samagaio, J. de Moura, J. Novo, M. Ortega. “Automatic Segmentation of Diffuse Retinal Thickening Edemas Using Optical Coherence Tomography Images”. Procedia Computer Science: Knowledge-Based and Intelligent Information & Engineering Systems (KES), 126, 472-481, 2018.		CORE B
International Conference	2019	José Joaquim de Moura Ramos	J. de Moura, G. Samagaio, J. Novo, M. Fernández, F. Gómez-Ulla, M. Ortega. “Automatic identification of macular edema biomarkers using Optical Coherence Tomography scans”. 17th International Conference on Computer Aided Systems Theory (EUROCAST), 210-211, Canary Islands, Spain, February 2019.
International Conference	2019	José Joaquim de Moura Ramos	J. de Moura, J. Novo, M. Ortega. “Deep Feature Analysis in a Transfer Learning-based Approach for the Automatic Identification of Diabetic Macular Edema”. International Joint Conference on Neural Networks (IJCNN), Budapest-Hungary, 14-19 July, 2019.		CORE A
International Conference	2019	José Joaquim de Moura Ramos	M. Fernández, M. Ortega, P. Almuiña, M. Gil, J. de Moura, G. Samagaio, J. Novo, M. Rodrı́guez, M. Abraldes, F. Gómez-Ulla. “Automatic identification and classification of diabetic macular edema using optical coherence tomography images”. 19th EURETINA Congress, Paris-France, 05-08 September 2019.
International Conference	2019	José Joaquim de Moura Ramos	J. de Moura, J. Novo, P. Charlón, M. Fernández, M. Ortega. “Retinal vascular analysis in a fully automated method for the segmentation of DRT edemas using OCT images”. Procedia Computer Science: Knowledge-Based and Intelligent Information & Engineering Systems (KES), 2019.		CORE B
National Conference	2018	José Joaquim de Moura Ramos	J. de Moura, J. Novo, N. Barreira, M. G. Penedo, M. Ortega. “Automatic system for the identification and visualization of the retinal vessel tree using OCT imaging”. I Congreso XoveTIC, A Coruña, September 2018.
National Conference	2018	José Joaquim de Moura Ramos	G. Samagaio, J. de Moura, J. Novo, M. Ortega. “Automatic Identification and Segmentation of Diffuse Retinal Thickening Macular Edemas Using OCT Imaging”. I Congreso XoveTIC, A Coruña, September 2018.
National Conference	2018	José Joaquim de Moura Ramos	S. Baamonde, J. de Moura, J. Novo, N. Barreira, M. Ortega. “Automatic Characterization of Epiretinal Membrane in OCT Images with Supervised Training”. I Congreso XoveTIC, A Coruña, September 2018.
National Conference	2019	José Joaquim de Moura Ramos	M. Fernández, M. Ortega, P. Almuiña, M. Gil, J. de Moura, G. Samagaio, J. Novo, M. Rodrı́guez, M. Abraldes, F. Gómez-Ulla. “Sistema automático de identificación del edema macular diabético usando imágenes de tomografı́a de coherencia óptica”. XXIII Congreso de la Sociedad Española de Retina y Vı́treo, Madrid, Spain, March 2019.
National Conference	2019	José Joaquim de Moura Ramos	J. de Moura, P. L. Vidal, J. Novo, M. Ortega, “Automatic Identification of Diabetic Macular Edema using a Transfer Learning-based Approach”. II Congreso XoveTIC, A Coruña, September 2019.
Registro Software	2018	José Joaquim de Moura Ramos	M. Penedo; M. Ortega; N. Barreira; J. Novo; J. Rouco; J. de Moura; L. Sánchez. C-433-2017. Herramienta para la segmentación automática de las capas de la retina en imágenes OCT. Spain. 03/02/2018. University of A Coruña.
Registro Software	2018	José Joaquim de Moura Ramos	M. Penedo; M. Ortega; N. Barreira; J. Novo; J. Rouco; J. de Moura. C-432-2017. “Herramienta para la detección automática de la estructura vascular en imágenes OCT”. Spain. 03/02/2018. University of A Coruña.	En explotación por: RESPIRA- Fundación Española del Pulmón SEPAR desde 01/12/2018 FUNDACION INSTITUTO DE INVESTIGACION SANITARIA DE SANTIAGO DE COMPOSTELA (FIDIS) desde 01/03/2019
Registro Software	2018	José Joaquim de Moura Ramos	M. Penedo; M. Ortega; N. Barreira; J. Novo; J. Rouco; J. de Moura; P. Lizancos. C-434-2017. “Herramienta para la detección automática de las regiones quísticas de la retina en imágenes OCT”. Spain. 03/02/2018. University of A Coruña.	En explotación por: RESPIRA- Fundación Española del Pulmón SEPAR desde 01/12/2018 FUNDACION INSTITUTO DE INVESTIGACION SANITARIA DE SANTIAGO DE COMPOSTELA (FIDIS) desde 01/03/2019
Registro Software	2018	José Joaquim de Moura Ramos	M. Penedo; M. Ortega; N. Barreira; J. Novo; J. Rouco; J. de Moura; S. Baamonde. C-435-2017. “Herramienta para la detección automática y visualización de la membrana epirretiniana en imágenes OCT”. Spain. 03/02/2018. University of A Coruña.
Registro Software	2018	José Joaquim de Moura Ramos	M. Penedo; M. Ortega; N. Barreira; J. Novo; J. Rouco; J. de Moura; D. Otero. C-436-2017. “Herramienta para el análisis y visualización automática de los mapas de densidad de los fotorreceptores de la retina en imágenes OCT”. Spain. 03/02/2018. University of A Coruña.
Registro Software	2020	José Joaquim de Moura Ramos	M. Penedo; M. Ortega; N. Barreira; J. Novo; J. Rouco; J. de Moura; P. Lizancos; M. Díaz C-46-2020. “Herramienta para la identificación y caracterización de Edema Macular en imágenes OCT”. Spain. 06/02/2020. University of A Coruña.
Registro Software	2020	José Joaquim de Moura Ramos	M. Penedo; M. Ortega; N. Barreira; J. Novo; J. Rouco; J. de Moura; M. Díaz; P. Lizancos, c44-2020. “Herramienta para realizar cribado de DME en imágenes OCT”. Spain. 06/02/2020. University of A Coruña.
Artículo	2020	Isaac Fernández-Varela	Diego Alvarez-Estevez, Isaac Fernández-Varela (2020). Addressing database variability in learning from medical data: An ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring. Computers in Biology and Medicine, 119: 103697		Factor de Impacto (JCR 2018) = 2,286. Ranking en la categoría Computer Science, Interdisciplinary Applications = 52 de 106 (Q2)
Artículo	2019	Isaac Fernández-Varela	Diego Alvarez-Estevez, Isaac Fernández-Varela (2019). Large-scale validation of an automatic EEG arousal detection algorithm using different heterogeneous databases. Sleep Medicine, 57: 6-14		Factor de Impacto (JCR 2018) = 3,360. Ranking en la categoría Clinical Neurology = 64 de 199 (Q2)
Ponencia en congreso	2018	Isaac Fernández-Varela	Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Álvarez-Estevez, Vicente Moret-Bonillo. Una red convolucional para la clasificación de las fases de sueño. En proceedings de Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), pp 1185-1190, Granada (España), Octubre 2018		Congreso nacional organizado por AEPIA (Asociación Española para la Inteligencia Artificial)
Ponencia en congreso	2018	Isaac Fernández-Varela	Isaac Fernández-Varela, Dimitrios Athanasakis, Samuel Parsons, Elena Hernández-Pereira, Vicente Moret-Bonillo. Sleep Staging with Deep Learning: A convolutional model. In proceedings of 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pp 367-372, Bruges (Belgium), April 2018.		Congreso internacional organizado por la Universidad Católica de Louvain. GII-GRIN-SCIE (GGS) Conference Rating: B, CORE:B, MA:B, SHINE:B
Artículo	2018	Isaac Fernández-Varela	Eduardo Mosqueira-Rey, David Alonso-Ríos, Vicente Moret-Bonillo, Isaac Fernández-Varela, Diego Álvarez-Estévez (2018). A systematic approach to API usability: Taxonomy-derived criteria and a case study. Information and Software Technology, 97: 46-63.		Factor de Impacto (JCR 2018) = 2,921. Ranking en la categoría Computer Science, Software Engineering = 16 de 104 (Q1)
Ponencia en congreso	2017	Isaac Fernández-Varela	Isaac Fernández-Varela; Diego Alvarez-Estevez; Elena Hernández-Pereira; Vicente Moret-Bonillo (2017). Outlining a simple and robust method for the automatic detection of EEG arousals. In proceedings of 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017), pp 489-494, Bruges (Belgium), April 2017.		Congreso internacional organizado por la Universidad Católica de Louvain. GII-GRIN-SCIE (GGS) Conference Rating: B, CORE:B, MA:B, SHINE:B
Artículo	2017	Isaac Fernández-Varela	Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Álvarez-Estévez, Vicente Moret-Bonillo (2017). Combining machine learning models for the automatic detection of EEG arousals. Neurocomputing, 268: 100-108		Factor de Impacto (JCR 2017) = 3,241. Ranking en la categoría Computer Science, Artificial Intelligence = 27 de 132 (Q1)
Artículo	2017	Isaac Fernández-Varela	Isaac Fernández-Varela, Diego Alvarez-Estévez, Elena Hernández-Pereira, Vicente Moret-Bonillo (2017). A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings. Computers in Biology and Medicine, 87: 77-86.		Factor de Impacto (JCR 2017) = 2,115. Ranking en la categoría Computer Science, Interdisciplinary Applications = 45 de 105 (Q2)
Ponencia en congreso	2016	Isaac Fernández-Varela	Elena Hernandez-Pereira, Isaac Fernandez-Varela, Vicente Moret-Bonillo. A Comparison of Performance of Sleep Spindle Classification Methods Using Wavelets. In proceedings of International Conference on Innovation in Medicine and Healthcare, pp. 61-70, Puerto de la Cruz (España), Junio 2016		Congreso internacional organizado por KES International
Ponencia en congreso	2016	Isaac Fernández-Varela	Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Álvarez-Estévez, Vicente Moret-Bonillo. Automatic detection of EEG arousals. In proceedings of 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pp 235-240, Bruges (Belgium), April 2016.		Congreso internacional organizado por la Universidad Católica de Louvain. GII-GRIN-SCIE (GGS) Conference Rating: B, CORE:B, MA:B, SHINE:B
Artículo revista	2022	Daniel Varela Miguéns	Varela, D. and Santos, J. (2022), “Niching methods integrated with a differential evolution memetic algorithm for protein structure prediction”, Swarm and Evolutionary Computation 71, art.101062		F.I. 10.267 (D1, Q1)
Artículo revista	2022	Daniel Varela Miguéns	Varela, D. and Santos, J. (2022), “Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation” Genetic Programming and Evolvable Machines (doi: 10.1007/s10710-022-09427-x)		F.I. 1.714, (Q2)
Artículo revista	2020	Daniel Varela Miguéns	Varela, D. and Santos, J. (2020), “Protein structure prediction in an atomic model with differential evolution integrated with the crowding niching method”, Natural Computing. https://doi.org/10.1007/s11047-020-09801-7		F.I. 1.495 (Q2)
Artículo en congreso	2019	Daniel Varela Miguéns	Varela, D. and Santos, J. (2019), “Crowding differential evolution for protein structure prediction”, Proceedings International Work-Conference on the Interplay between Natural and Artificial Computation - IWINAC 2019, Lecture Notes in Computer Science 11487:193-203.		IWINAC 2019 (Congreso Internacional)
Artículo revista	2018	Daniel Varela Miguéns	Varela, D. and Santos, J. (2019), “Automatically obtaining a cellular automaton scheme for modeling protein folding using the FCC model”, Natural Computing 18(2): 275-284.		F.I. 1.495 (Q2)
Artículo en congreso	2017	Daniel Varela Miguéns	Varela, D. and Santos, J. (2017), “A hybrid evolutionary algorithm for protein structure prediction using the Face-Centered Cubic lattice model”, Proceedings International Conference on Neural Information Processing ICONIP, Lecture Notes in Computer Science 10634:628-638.		ICONIP 2017 (Core A Conference)
Artículo en congreso	2017	Daniel Varela Miguéns	Varela, D. and Santos, J. (2017), “A protein folding model using the Face-Centered Cubic lattice model”, GECCO 2017 ACM Proceedings Companion, Workshop Evolutionary Computation in Computational Biology, Genetic and Evolutionary Computation Conference, 1674-1678		GECCO 2017 (Core A Conference)
Artículo en congreso	2017	Daniel Varela Miguéns	Varela, D. and Santos, J. (2017), “Protein folding modeling with neural cellular automata using the Face-Centered Cubic model”, Proceedings International Work-Conference on the Interplay between Natural and Artifcial Computation, Lecture Notes in Computer Science 10337:125-134.		IWINAC 2017 (Congreso Internacional)
Artículo en congreso	2016	Daniel Varela Miguéns	Varela, D. and Santos, J. (2016), “Protein folding modeling with neural cellular automata using Rosetta”, GECCO 2016 ACM Proceedings Companion, Workshop Evolutionary Computation in Computational Structural Biology, Genetic and Evolutionary Computation Conference, 1307-1312.		GECCO 2016 (Core A Conference)
Artículo en congreso	2015	Daniel Varela Miguéns	Varela, D. and Santos, J. (2015), “Combination of differential evolution and fragment-based replacements for protein structure prediction”, GECCO 2015 ACM Proceedings Companion, Workshop Evolutionary Computation in Computational Structural Biology, Genetic and Evolutionary Computation Conference, 911-914.		GECCO 2015 (Core A Conference)
Artículo en congreso	2020	Daniel Valcarce	Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Shallow Neural Models for Top-N Recommendation. Proceedings of ECAI 2020 - 24th European Conference on Artificial Intelligence,29 August-8 September 2020, Santiago de Compostela, Spain, series Frontiers in Artificial Intelligence and Applications, Vol 325, pp. 2911-2912, IOS Press, 2020, DOI: 10.3233/FAIA200449		ECAI 2020 CORE A, GGS A
Artículo	2019	Daniel Valcarce	Daniel Valcarce, Alfonso Landin, Javier Parapar, Alvaro Barreiro. Collaborative Filtering Embeddings for Memory-Based Recommender Systems, Engineering Applications of Artificial Intelligence, Vol 85, 2019. pp.347-356. ISSN :0952-1976		FI JCR WoS 2018 3.526 (Q1)
Artículo	2019	Daniel Valcarce	Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro. PRIN: A Probabilistic Recommender with Item Priors and Neural Models. Proceedings of the 41st European Conference on Information Retrieval, ECIR 2019, pp. 133-147, Cologne, Germany, 14 - 18 April, 2019. DOI 10.1007/978-3-030-15712-8_9.		CORE A, GGS A-, full paper con ratio aceptación 23%
Artículo	2018	Daniel Valcarce	Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Document-based and Term-based Linear Methods for Pseudo-Relevance Feedback. Applied Computing Review, vol. 18(4), pp. 5-17, 2018.		Artículos seleccionados de ACM SAC, publicados en la revista de ACM SIGAPP
Artículo	2018	Daniel Valcarce	Daniel Valcarce, Igo Brilhante, Jose Antonio Macedo, Franco Maria Nardini, Raffaele Perego, Chiara Renso. Item-driven group formation. Online Social Networks and Media, vol. 8, pp. 17-31, 2018. DOI 10.1016/j.osnem.2018.10.002		Revista reciente de Elsevier, pendiente de clasificación
Artículo	2018	Daniel Valcarce	Daniel Valcarce, Alex Bellogín, Javier Parapar, Pablo Castells. On the Robustness and Discriminative Power of IR Metrics for Top-N Recommendation. Proceedings of the 12th ACM Conference on Recommender Systems, RecSys 2018, pp. 260-268, Vancouver, Canada, 2 - 7 October, 2018. DOI 10.1145/3240323.3240347		CORE B, GGS A-, full paper con ratio aceptación 18%
Artículo	2018	Daniel Valcarce	Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Finding and Analysing Good Neighbourhoods to Improve Collaborative Filtering. Knowledge-Based Systems, vol. 159, pp. 193-202, 2018. DOI 10.1016/j.knosys.2018.06.030		FI 4.396 Q1 JCR SCI 2017
Artículo	2018	Daniel Valcarce	Daniel Valcarce, Javier Parapar, Álvaro Barreiro. A MapReduce implementation of posterior probability clustering and relevance models for recommendation. Engineering Applications of Artificial Intelligence, vol. 75, pp. 114-124, 2018. DOI 10.1016/j.engappai.2018.08.006		FI 2.819 Q1 JCR SCI 2017
Artículo	2018	Daniel Valcarce	Alfonso Landin, Eva Suárez-García, Daniel Valcarce. When Diversity Met Accuracy: A Story of Recommender Systems. Proceedings 2018, vol. 2(8), 1178. DOI 10.3390/proceedings2181178
Artículo	2018	Daniel Valcarce	Eva Suárez-García, Alfonso Landin, Daniel Valcarce, Álvaro Barreiro. Term Association Measures for Memory-based Recommender Systems. Proceedings of the 5th Spanish Conference on Information Retrieval, CERI 2018, Article 6, Zaragoza, Spain, 25 - 27 June, 2018. DOI 10.1145/3230599.3230606		Best Student Paper
Artículo	2018	Daniel Valcarce	Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Query Expansion as a Matrix Factorization Problem: Extended Abstract. Proceedings of the 5th Spanish Conference on Information Retrieval, CERI 2018, Zaragoza, Spain, 25 - 27 June, 2018. DOI 10.1145/3230599.3230603
Artículo	2018	Daniel Valcarce	Daniel Valcarce, Javier Parapar, Álvaro Barreiro. LiMe: Linear Methods for Pseudo-Relevance Feedback. Proceedings of the 33st Annual ACM Symposium on Applied Computing, SAC 2018, pp. 678-687, Pau, France, 9 - 13 April, 2018. DOI 10.1145/3167132.3167207		CORE B, GGS A-, full paper con ratio aceptación 25%
Artículo	2017	Daniel Valcarce	Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Axiomatic Analysis of Language Modelling of Recommender Systems.FI 1.159 Q3 JCR SCI 2017 International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 25, no suppl. 2, pp. 113-128, 2017. DOI 10.1142/S0218488517400141		FI 1.159 Q3 JCR SCI 2017
Artículo	2017	Daniel Valcarce	Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Combining Top-N Recommenders with Metasearch Algorithms. Proceedings of the 40th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2017, pp. 805-808, Shinjuku, Tokyo, Japan, 7 - 11 August, 2017. DOI 10.1145/3077136.3080647		CORE A*, GGS A++, short paper con ratio aceptación 30%
Artículo	2016	Daniel Valcarce	Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems. Proceedings of the 4th Spanish Conference on Information Retrieval, CERI 2016, Article 9, Granada, Spain, 14 - 16 June, 2016. DOI 10.1145/2934732.2934737		Best Student Paper
Artículo	2016	Daniel Valcarce	Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario. Proceedings of the 7th Italian Information Retrieval Workshop, IIR 2016, Venice, Italy, 30 - 31 May, 2016.
Artículo	2016	Daniel Valcarce	Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Item-Based Relevance Modelling of Recommendations for Getting Rid of Long Tail Products. Knowledge-Based Systems, vol. 103, pp. 41-51, 2016. DOI 10.1016/j.knosys.2016.03.021		FI 4.529 Q1 JCR SCI 2016
Artículo	2016	Daniel Valcarce	Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation. Proceedings of the 38th European Conference on Information Retrieval, ECIR 2016, pp. 602-613, Padua, Italy, 20 - 23 March, 2016. DOI 10.1007/978-3-319-30671-1_44		CORE A, GGS A-, full paper con ration aceptación 22%
Artículo	2016	Daniel Valcarce	Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Language Models for Collaborative Filtering Neighbourhoods. Proceedings of the 38th European Conference on Information Retrieval, ECIR 2016, pp. 614-625, Padua, Italy, 20 - 23 March, 2016. DOI 10.1007/978-3-319-30671-1_45		CORE A, GGS A-, full paper con ration aceptación 22%
Artículo	2015	Daniel Valcarce	Daniel Valcarce, Javier Parapar, Álvaro Barreiro. A Distributed Recommendation Platform for Big Data. Journal of Universal Computer Science, vol. 21(13), pp. 1810-1829, 2015. DOI 10.3217/jucs-021-13-1810		FI 0.546, Q4 JCR SCI 2015
Artículo	2015	Daniel Valcarce	Daniel Valcarce. Exploring Statistical Language Models for Recommender Systems. Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, pp. 375-378, Vienna, Austria, 16 - 20 September, 2015. DOI 10.1145/2792838.2796547		CORE B, GGS A-, Doctoral Symposium paper
Artículo	2015	Daniel Valcarce	Daniel Valcarce, Javier Parapar, Álvaro Barreiro. A Study of Priors for Relevance-Based Language Modelling of Recommender Systems. Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, pp. 237-240, Vienna, Austria, 16 - 20 September, 2015. DOI 10.1145/2792838.2799677		CORE B, GGS A-, short paper con ration aceptación 26%
Artículo	2015	Daniel Valcarce	Daniel Valcarce, Javier Parapar, Álvaro Barreiro. A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems. Proceedings of the 37th European Conference on Information Retrieval, ECIR 2015, pp. 346-351, Vienna, Austria, 29 March - 2 April, 2015. DOI 10.1007/978-3-319-16354-3_38		CORE A, GGS A-, short paper con ratio aceptación 38%
Artículo	2014	Daniel Valcarce	Daniel Valcarce, Javier Parapar, Álvaro Barreiro. When Recommenders Met Big Data: an Architectural Proposal and Evaluation. Proceedings of the 3rd Spanish Conference on Information Retrieval, CERI 2014, pp. 73-84, A Coruña, Spain, 19 - 20 June, 2014. ISBN 978-84-9749-591-2
Rexistro Software con explotación industrial	2015	Daniel Valcarce	FilmYou: Recomendación distribuida de películas. Autores: Álvaro Barreiro García;Javier Parapar López;Daniel Valcarce Silva. Rexistro software, ref. 03/2015/1434, fecha concesión 2015-08-12. Entidad: Universidade da Coruña.		Explotado bajo contrato art. 83 LOU "Análisis e investigación de un sistema de recomendación como servicio" ENTRE LA FCITICG Y LA EMPRESA Linknovate Science SL, con fecha de 23/04/2019
Revista	2018	Mª Luisa Sanchez Brea	“Precise segmentation of the bulbar conjunctiva for hyperaemia images” Pattern Analysis and Applications, 21(2), 563–577(2018)		JCR Factor de impacto: 1.410 (año 2018) Posición 92 de 133 (Q3) en la categoría COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Capítulo Libro	2018	Mª Luisa Sanchez Brea	"Machine Learning Applied to Optometry Data", Holmes D., Jain L. (eds) Advances in Biomedical Informatics, Intelligent Systems Reference Library, 137, 123-160, 2018.
Revista	2017	Mª Luisa Sanchez Brea	"Precise segmentation of the bulbar conjunctiva for hyperaemia images", Pattern Analysis and Applications, 1-15, Springer Verlag		JCR Factor de impacto: 1.352 (año 2016) Posición 84 de 133 (Q3) en la categoría COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
International Conference	2017	Mª Luisa Sanchez Brea	"Assessment of the repeatability in an automatic methodology for hyperemia grading in the bulbar conjunctiva", International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, 14/05/2017 - 19/05/2017, Anchorage, Alaska		CORE A
International Conference	2016	Mª Luisa Sanchez Brea	"On the analysis of feature selection techniques in a conjunctival hyperemia grading framework", European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 27/04/2016 - 29/04/2016, Bruges		CORE B
International Conference	2016	Mª Luisa Sanchez Brea	"On the analysis of local and global features for hyperemia grading", 9th International Conference on Machine Vision (ICMV), 18/11/2016-20/11/2016, Niza, November 2016		CORE C
International Conference	2016	Mª Luisa Sanchez Brea	"Comparing Machine Learning Techniques in a Hyperemia Grading Framework", International Conference on Agents and Artificial Intelligence (ICAART), 24/02/2016 - 26/02/2016, Roma, February 2016		CORE C
Revista	2016	Mª Luisa Sanchez Brea	"Defining the optimal region of interest for hyperemia grading in the bulbar conjunctiva", Computational and Mathematical Methods in Medicine, 2016, Article ID 3695014, 1-9, ISSN: 1748-670X		JCR Factor de impacto: 0.937 (año 2016) Posición 44 de 57 (Q4) en la categoría MATHEMATICAL & COMPUTATIONAL BIOLOGY
Revista	2016	Mª Luisa Sanchez Brea	"On the development of conjunctival hyperemia computer-assisted diagnosis tools: Influence of feature selection and class imbalance in automatic gradings", Artificial Intelligence in Medicine, 71, 30-42, Elsevier, ISSN: 0933-3657		JCR Factor de impacto: 2.009 (año 2016) Posición 55 de 133 (Q2) en la categoría COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
International Conference	2015	Mª Luisa Sanchez Brea	“A Novel Framework for Hyperemia Grading Based on Artificial Neural Networks”, IWANN 2015, Palma de Mallorca, SPAIN, Junio 2015		Lecture Notes in Computer Science
International Conference	2015	Mª Luisa Sanchez Brea	"Automatic Selection of Video Frames for Hyperemia Grading", Eurocast 2015, 08/02/2015 - 13/02/2015, Las Palmas, Spain, February 2015		Lecture Notes in Computer Science
Artículo congreso	2017	Alejandro Cortiñas Álvarez	Brisaboa, N. R.; Cortiñas, A.; Luaces, M. R.; Pedreira, O.: "Creating web-based GIS applications using automatic code generation techniques", en Proc.15th Int. Symposium on Web and Wireless Geographical Information System (W2GIS 2017)-LNCS 10181, Springer, Shanghai (China), 2017, pp. 19-34.		Congreso internacional, CORE C
Artículo congreso	2017	Alejandro Cortiñas Álvarez	Cortiñas, A.; Luaces, M. R.; Pedreira, O.; Places, A. S.: "Scaffolding and in-browser generation of web-based GIS applications in a SPL tool", en Proc. 21st International Systems & Software Product Line Conference (SPLC 2017) vol.2, ACM Digital Library, Sevilla (España), 2017, pp. 46-49.		Congreso internacional, GGS Class 2, Rating A-
Artículo congreso	2017	Alejandro Cortiñas Álvarez	Cortiñas, A.; Luaces, M. R.; Pedreira, O.; Places, A. S.; Perez, J.: "Web-based Geographic Information Systems SPLE: Domain Analysis and Experience Report", en Proc. 21st International Systems & Software Product Line Conference (SPLC 2017) Vol.1, ACM Digital Library, Sevilla (España), 2017, pp. 190-194.		Congreso internacional, GGS Class 2, Rating A-
Póster congreso	2017	Alejandro Cortiñas Álvarez	Cortiñas, A.; Carlo Bernaschina; Luaces, M. R.; Piero Fraternali: "Enabling Agile Web Development Through In-Browser Code Generation and Evaluation", en Proc. of the 7th International Conference Model and Data Engineering (MEDI 2017) - LNCS 10563, Barcelona (España), 2017, pp. 311-323.		Congreso internacional
Artículo congreso	2017	Alejandro Cortiñas Álvarez	Cortiñas, A.; Luaces, M. R.: "Generación, almacenamiento y consulta de datos espaciales masivos", en Actas de las XXII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2017), La Laguna (Tenerife) (España), 2017.		Congreso nacional
Póster congreso	2017	Alejandro Cortiñas Álvarez	Cortiñas, A.; Carlo Bernaschina; Luaces, M. R.; Piero Fraternali: "Improving GISBuilder with Runtime Product Preview", en Proceedings of 17th International Conference on Web Engineering (ICWE 2017) -LNCS 10360, Springer, Cham, Roma (Italia), 2017, pp. 549-553.		Congreso internacional, CORE B, GGS Class 3, Rating B
Artículo congreso	2017	Alejandro Cortiñas Álvarez	Cortiñas, A.; Luaces, M. R.: "Generación, almacenamiento y consulta de datos espaciales masivos", en Actas de las XXII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2017), La Laguna (Tenerife) (España), 2017.		Congreso nacional
Artículo congreso	2016	Alejandro Cortiñas Álvarez	Brisaboa, N. R.; Cortiñas, A.; Luaces, M. R.; Pedreira, O.: "Aplicando scaffolding en el desarrollo de Líneas de Producto Software", en Actas de las XXI Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2016), Ediciones Universidad de Salamanca, Salamanca (España), 2016, pp. 23-36.		Congreso nacional
Libro	2016	Alejandro Cortiñas Álvarez	Miguel R. Luaces, Alejandro Cortiñas and Guillermo de Bernardo: Fundamentos de SIG: Tecnologías básicas. Reprografía Noroeste, S.L. 2016
Artículo congreso	2016	Alejandro Cortiñas Álvarez	Brisaboa, N. R.; Cortiñas, A.; Luaces, M. R.; Pedreira, O.: "GISBuilder: A framework for the semi-automatic generation of web-based geographic information systems", en Proc. of the 20th Pacific Asia Conference on Information Systems (PACIS 2016), AIS Electronic Library (AISeL), Chiayi (Taiwán), 2016.		Congreso internacional, CORE A, GGS Class 3, Rating B-
Artículo congreso	2015	Alejandro Cortiñas Álvarez	Brisaboa, N. R.; Cortiñas, A.; Luaces, M. R.; Pol'la, Matias E.: "A Reusable Software Architecture for Geographic Information Systems based on Software Product Line Engineering", en Proceedings of the 5th International Conference on Model & Data Engineering (MEDI 2015), LNCS 9344, Springer, Rodas (Grecia), 2015, pp. 320-331.		Congreso internacional
Artículo JCR	2018	Fernando Silva Coira	Brisaboa, N. R.; Cao, R.; Paramá, J. R.; Silva Coira, F.: "Scalable processing and autocovariance computation of big functional data", en Software: Practice and Experience, 48(1), Wiley-Blackwell, Reino Unido, 2018, pp. 123-140.		Publicación Q2 (2016)
Artículo JCR	2017	Fernando Silva Coira	Ladra, S.; Paramá, J. R.; Silva Coira, F.: "Scalable and queryable compressed storage structure for raster data", en Information Systems, 72, Elsevier, Reino Unido, 2017.		Publicación Q2 (2016)
Libro completo	2017	Fernando Silva Coira	José R. Paramá, Fernando Silva Coira: Introducción práctica a las Bases de Datos, Reprografía Noroeste, S.L., 2017
Artículo congreso	2016	Fernando Silva Coira	Ladra, S.; Paramá, J. R.; Silva Coira, F.: "Compact and queryable representation of raster datasets", en Proc. of the 28th Int Conference on Scientific and Statistical Database Management (SSDBM2016), ACM Digital Library, Budapest (Hungría), 2016.		Congreso internacional, CORE A, GGS 2015 Class 2, Rating A-
Artículo	2019	David Vilares Calvo	Carlos Gómez-Rodríguez, Iago Alonso-Alonso and David Vilares, How Important is Syntactic Parsing Accuracy? An Empirical Evaluation on Rule-Based Sentiment Analysis, Artificial Intelligence Review, 52(3):2081-2097, 2019. ISSN 0269-2821. DOI 10.1007/s10462-017-9584-0		Factor de impacto 5.095 en la edición del JCR de 2018 (última disponible). Posición 18 de 134 (Q1) en “Computer Science, Artificial intelligence”
Ponencia en congreso	2018	David Vilares Calvo	David Vilares, Haiyun Peng, Ranjan Satapathy and Erik Cambria, BabelSenticNet: A Commonsense Reasoning Framework for Multilingual Sentiment Analysis, Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (IEEE-SSCI 2018), pp. 1292-1298, Bengaluru, India, 2018. ISBN 978-1-5386-9276-9. DOI 10.1109/SSCI.2018.8628718		Organizado y publicado por IEEE
Ponencia en congreso	2018	David Vilares Calvo	David Vilares and Carlos Gómez-Rodríguez Grounding the Semantics of Part-of-Day Nouns Worldwide Using Twitter, NAACL HLT 2018. Computational Modeling of People's Opinions, Personality, and Emotions in Social media. Proceedings of the Second Workshop PEOPLES 2018, pp. 123-128, New Orleans, Louisiana, USA, 2018. ISBN 978-1-948087-17-9. DOI 10.18653/v1/W18-1116		Organizado y publicado por la Association for Computational Linguistics (ACL)
Artículo	2017	David Vilares Calvo	David Vilares, Miguel A. Alonso and Carlos Gómez-Rodríguez, Supervised Sentiment Analysis in Multilingual Environments, Information Processing & Management, 53(3):595-607, 2017. ISSN 0306-4573. DOI 10.1016/j.ipm.2017.01.004		Impact index JCR en 2016: 2.391, posición 16 de 85 (Q1) en “Information Science & Library Science”, posición 50 de 146 (Q2) en “Computer Science, Information Systems”
Artículo	2017	David Vilares Calvo	David Vilares, Carlos Gómez-Rodríguez and Miguel A. Alonso, Universal, Unsupervised (Rule-Based), Uncovered Sentiment Analysis, Knowledge-Based Systems, 118:45-55, 2017. ISSN 0950-7051. DOI 10.1016/j.knosys.2016.11.014		Impact index JCR en 2016: 4.529, posición 16 de 133 (Q1) en “Computer Science, Artificial Intelligence”
Ponencia en congreso	2017	David Vilares Calvo	David Vilares, Miguel A. Alonso and Carlos Gómez-Rodríguez, Tratamiento sintáctico de la negación en análisis del sentimiento monolingüe y multilingüe, Taller de NEGación en ESpañol. NEGES-2017, pp. 39-46, Murcia, Spain, 2017		Organizado por la Sociedad Española par Procesamiento del Lenguaje Natural
Ponencia en congreso	2017	David Vilares Calvo	David Vilares, Marcos Garcia, Miguel A. Alonso and Carlos Gómez-Rodríguez, Towards Syntactic Iberian Polarity Classification, EMNLP 2017. 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. WASSA 2017. Proceedings of the Workshop, pp. 67-73, Copenhagen, Denmark, 2017. ISBN 978-1-945626-95-1.		Clasificado en GGS: Class 1(excellent, top notch conferences); CORE: A (excellent conference, and highly respected in a discipline area); LiveSHINE: A++; Microsoft Academic: A+
Ponencia en congreso	2017	David Vilares Calvo	David Vilares and Carlos Gómez-Rodríguez, A non-projective greedy dependency parser with bidirectional LSTMs, in CoNLL 2017. The SIGNLL Conference on Computational Natural Language Learning. Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pp. 152-162, Vancouver, Canada, 2017. ISBN 978-1-945626-70-8. DOI 10.18653/v1/K17-3016		Clasificado en GGS: Class 2 (very good events); CORE: A (excellent conference, and highly respected in a discipline area); LiveSHINE: A; Microsoft Academic: A-
Ponencia en congreso	2017	David Vilares Calvo	David Vilares and Yulan He, Detecting Perspectives in Political Debates, EMNLP 2017. The Conference on Empirical Methods in Natural Language Processing. Proceedings of the Conference, pp. 1574-1583, Copenhagen, Denmark, 2017. ISBN 978-1-945626-83-8.		Clasificado en GGS: Class 1(excellent, top notch conferences); CORE: A (excellent conference, and highly respected in a discipline area); LiveSHINE: A++; Microsoft Academic: A+
Artículo	2016	David Vilares Calvo	Daniel Fernández-González, Carlos Gómez-Rodríguez and David Vilares, Improving the Arc-Eager Model with Reverse Parsing, Computing and Informatics, 35(3):555-585, 2016. ISSN 1335-9150.		Impact index JCR en 2016: 0.488, posición 126 de 133 (Q4) en “Computer Science, Artificial Intelligence”
Artículo	2016	David Vilares Calvo	David Vilares and Miguel A. Alonso, A review on political analysis and social media, Procesamiento del Lenguaje Natural, 56:13-23, 2016. ISSN 1135-5948.		Revista indexada en Emerging Sources Citation Index de Web of Science; certificado de Revista Excelente FECYT-099/2012 de la Fundación Española para la Ciencia y la Tecnología, renovado en 2015
Ponencia en congreso	2016	David Vilares Calvo	Iti Chaturvedi, Erik Cambria and David Vilares, Lyapunov filtering of objectivity for Spanish sentiment model, in 2016 International Joint Conference on Neural Networks (IJCNN), pp 4474-4481, Vancouver, Canada, 2016. ISSN 2161-4407. ISBN 978-1-5090-0619-9. DOI 10.1109/IJCNN.2016.7727785		Clasificado en GGS: Class 2 (very good events); CORE: A (excellent conference, and highly respected in a discipline area); LiveSHINE: A-; Microsoft Academic: B
Ponencia en congreso	2016	David Vilares Calvo	David Vilares, Miguel A. Alonso and Carlos Gómez-Rodríguez, EN-ES-CS: An English-Spanish Code-Switching Twitter Corpus for Multilingual Sentiment Analysis, in Nicoletta Calzolari (Conference Chair), Khalid Choukri, Thierry Declerck, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk and Stelios Piperidis (eds.), Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), pp. 4149-4153, Portorož, Slovenia, 2016. ISBN 978-2-9517408-9-1.		Clasificado en GGS: Class 3 (events of good quality); CORE: C (other ranked conference venues that meet minimum standards); LiveSHINE: A; Microsoft Academic: A-
Ponencia en congreso	2016	David Vilares Calvo	David Vilares, Miguel A. Alonso and Carlos Gómez-Rodríguez, One model, two languages: training bilingual parsers with harmonized treebanks, in ACL 2016. The 54th Annual Meeting of the Association for Computational Linguistics. Proceeedings of the Conference, Vol. 2, 425-431, Berlin, 2016. DOI 10.18653/v1/P16-2069		Clasificado en GGS: Class 1(excellent, top notch conferences); CORE: A++ (flagship conference, a leading venue in a discipline area); LiveSHINE: A++; Microsoft Academic: A++
Ponencia en congreso	2016	David Vilares Calvo Yerai Doval Mosquera	David Vilares, Yerai Doval, Miguel A. Alonso and Carlos Gómez-Rodríguez, LyS at SemEval-2016 Task 4: Exploiting Neural Activation Values for Twitter Sentiment Classification and Quantification, in SemEval-2016. The 10th International Workshop on Semantic Evaluation. Proceedings of the Workshop, pp. 79-84, San Diego, California, 2016. ISBN 978-1-941643-95-2.		Organizado por la Association for Computational Linguistics (ACL)
Artículo	2015	David Vilares Calvo	David Vilares, Miguel A. Alonso and Carlos Gómez-Rodríguez, On the usefulness of lexical and syntactic processing in polarity classification of Twitter messages, Journal of the Association for Information Science and Technology (JASIST), 66(9):1799-1816, 2015. ISSN 2330-1635. DOI 10.1002/asi.23284		Impact index JCR en 2015: 1.864, posición 32 de 144 (Q1) en “Computer Science, Information Systems”; posición 20 de 86 (Q1) en “Information Science & Library Science”
Artículo	2015	David Vilares Calvo	David Vilares, Miguel A. Alonso and Carlos Gómez-Rodríguez, A linguistic approach for determining the topics of Spanish Twitter messages, Journal of Information Science, 41(2): 127-145, 2015. ISSN 0165-5515. DOI 10.1177/0165551514561652		Impact index JCR en 2015: 0.878, posición 43 de 86 (Q2) en “Information Science & Library Science”; posición 101 de 144 (Q3) en “Computer Science, Information Systems”
Artículo	2015	David Vilares Calvo	David Vilares, Miguel A. Alonso and Carlos Gómez-Rodríguez, A syntactic approach for opinion mining on Spanish reviews, Natural Language Engineering, 21(1):139-163, 2015. ISSN 1351-3249. DOI 10.1017/S1351324913000181		Impact index JCR en 2015: 0,886, posición 63 de 181 (Q2) en la categoría “Linguistics”; posición 96 de 130 (Q3) en “Computer Science: Artificial Intelligence”
Artículo	2015	David Vilares Calvo	David Vilares, Mike Thelwall and Miguel A. Alonso, The megaphone of the people? Spanish SentiStrength for real-time analysis of political tweets, Journal of Information Science, 41(6):799-813, 2015. ISSN 0165-5515. DOI 10.1177/0165551515598926		Impact index JCR en 2015: 0.878, posición 43 de 86 (Q2) en “Information Science & Library Science”; posición 101 de 144 (Q3) en “Computer Science, Information Systems”
Ponencia en congreso	2015	David Vilares Calvo Yerai Doval Mosquera	Miguel A. Alonso, Carlos Gómez-Rodríguez, David Vilares, Yerai Doval and Jesús Vilares, Seguimiento y análisis automático de contenidos en redes sociales, in Rafael Asorey Cacheda, Rosa Devesa Rey, M. Mercedes Solla Carracelas and José M. Pousada Carballo (eds.), Actas: III Congreso Nacional de i+d en Defensa y Seguridad, DESEi+d 2015, pp. 899-906, Ed. Centro Universitario de la Defensa de Marín, Marín, Spain, 2015. ISBN: 978-84-944537-0-0.		Organizado por el Ministerio de Defensa, Isdefe y los Centros Universitarios de Defensa
Ponencia en congreso	2015	David Vilares Calvo	David Vilares, Miguel A. Alonso and Carlos Gómez-Rodríguez, Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora, in EMNLP 2015. 6th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis. WASSA 2015. Workshop Proceedings, pp. 2-8, Lisbon, Portugal, 2015. ISBN 978-1-941643-32-7. DOI 10.18653/v1/W15-2902		Clasificado en GGS: Class 1(excellent, top notch conferences); CORE: A (excellent conference, and highly respected in a discipline area); LiveSHINE: A++; Microsoft Academic: A+
Ponencia en congreso	2015	David Vilares Calvo Yerai Doval Mosquera	David Vilares, Yerai Doval, Miguel A. Alonso and Carlos Gómez-Rodríguez, LyS at TASS 2015: Deep Learning Experiments for Sentiment Analysis on Spanish Tweets, in Julio Villena-Román, Janine García-Morera, Miguel A. García-Cumbreras, Eugenio Martínez-Cámara, M. Teresa Martín-Valdivia and L. Alfonso Ureña-López (eds.), TASS 2015: Workshop on Sentiment Analysis at SEPLN, CEUR Workshop Proceedings, Vol. 1397, pp. 47-52, 2015. ISSN 1613-0073		Organizado por la Sociedad Española par Procesamiento del Lenguaje Natural
Ponencia en congreso	2014	David Vilares Calvo	Yerai Doval, David Vilares and Jesús Vilares, Buscando flexibilidad, escalabilidad y mantenibilidad en la normalización de tuits, in Fidel Cacheda and Javier Parapar (Eds.), Proceedings of 3rd Spanish Conference on Information Retrieval. Actas del III Congreso Español de Recuperación de la Información, pp. 189-192, A Coruña, Spain, 2014. ISBN 978-84-9749-591-2.		Organizado por la Sociedad Española de Recuperación de Información
Ponencia en congreso	2014	David Vilares Calvo	Yerai Doval, David Vilares and Jesús Vilares, Identificación Automática del Idioma en Twitter: Adaptación de Identificadores del Estado del Arte al Contexto Ibérico, in Arkaitz Zubiaga, Iñaki San Vicente, Pablo Gamallo, José Ramom Pichel, Iñaki Alegria, Nora Aranberri, Aitzol Ezeiza and Víctor Fresno (eds.), TweetLID 2014. Tweet Language Identification Workshop 2014. Proceedings of the Tweet Language Identification Workshop co-located with 30th Conference of the Spanish Society for Natural Language Processing (SEPLN 2014). Girona, Spain, September 16th, 2014, CEUR Workshop Proc., Vol. 1228, pp. 39-43. ISSN 1613-0073.		Organizado por la Sociedad Española par Procesamiento del Lenguaje Natural
Ponencia en congreso	2014	David Vilares Calvo	David Vilares, Miguel A. Alonso and Carlos Gómez-Rodríguez, Evaluación de aproximaciones lingüísticas para la asignación de temas a tuits, in Fidel Cacheda and Javier Parapar (Eds.), Proceedings of 3rd Spanish Conference on Information Retrieval. Actas del III Congreso Español de Recuperación de la Información, pp. 109-120, A Coruña, Spain, 2014. ISBN 978-84-9749-591-2.		Organizado por la Sociedad Española de Recuperación de Información
Ponencia en congreso	2014	David Vilares Calvo	David Vilares, Yerai Doval, Miguel A. Alonso and Carlos Gómez-Rodríguez, LyS at TASS 2014: A Prototype for Extracting and Analysing Aspects from Spanish tweets, XXX Congreso de la Sociedad Española de Procesamiento de lenguaje natural SEPLN 2014. TASS 2014 - Workshop on Sentiment Analysis at SEPLN 2014. Workshop Proceedings, Girona, Spain, 2014.		Organizado por la Sociedad Española par Procesamiento del Lenguaje Natural
Ponencia en congreso	2014	David Vilares Calvo	David Vilares, Miguel Hermo, Miguel A. Alonso, Carlos Gómez-Rodríguez and Yerai Doval, LyS: Porting a Twitter Sentiment Analysis Approach from Spanish to English, in The 8th International Workshop on Semantic Evaluation (SemEval 2014). Proceedings of the Workshop, pp. 411-415, Dublin, Ireland, 2014. ISBN 978-1-941643-24-2.		Organizado por la Association for Computational Linguistics (ACL)
Ponencia en congreso	2014	David Vilares Calvo	David Vilares, Miguel Hermo, Miguel A. Alonso, Carlos Gómez-Rodríguez and Jesús Vilares, LyS at CLEF RepLab 2014: Creating the State of the Art in Author Influence Ranking and Reputation Classification on Twitter, in Linda Cappellato, Nicola Ferro, Martin Halvey, Wessel Kraaij (eds.), CLEF 2014. CLEF2014 Working Notes. Working Notes for CLEF 2014 Conference. Sheffield, UK, September 15-18, 2014, CEUR Workshop Proceedings, Vol. 1180, pp. 1468-1478. ISSN 1613-0073.		Clasificado en GGS: Class 3(events of good quality); LiveSHINE: A-; Microsoft Academic: B
Artículo	2013	David Vilares Calvo	David Vilares, Miguel A. Alonso and Carlos Gómez-Rodríguez, Clasificación de polaridad en textos con opiniones en español mediante análisis sintáctico de dependencias, Procesamiento del Lenguaje Natural, 50:13-20, 2013. ISSN 1135-5948.		Revista con certificado de Revista Excelente FECYT-099/2012 de la Fundación Española para la Ciencia y la Tecnología
Artículo	2013	David Vilares Calvo	David Vilares, Miguel A. Alonso and Carlos Gómez-Rodríguez, Una aproximación supervisada para la minería de opiniones sobre tuits en español en base a conocimiento lingüístico, Procesamiento del Lenguaje Natural, 51:127-134, 2013. ISSN 1135-5948.		Revista con certificado de Revista Excelente FECYT-099/2012 de la Fundación Española para la Ciencia y la Tecnología
Artículo	2013	David Vilares Calvo	David Vilares, Adrián Blanco and Jesús Vilares, Consultas con Errores Ortográficos en RI Multilingüe: Análisis y Tratamiento, Procesamiento del Lenguaje Natural, 51:25-32, 2013. ISSN 1135-5948.		Revista con certificado de Revista Excelente FECYT-099/2012 de la Fundación Española para la Ciencia y la Tecnología
Ponencia en congreso	2013	David Vilares Calvo	David Vilares, Sentiment analysis for reviews and microtexts based on lexico-syntactic knowledge, in Proc. of Future Directions in Information Access Symposium (FDIA 2013), Granada, Spain, 2013.		Organizado por la Universidad de Granada en el marco de la 9^th European Summer School in Information Retrieval
Ponencia en congreso	2013	David Vilares Calvo	David Vilares, Miguel A. Alonso and Carlos Gómez-Rodríguez, Supervised polarity classification of Spanish tweets based on linguistic knowledge, in DocEng'13. Proceedings of the 13th ACM Symposium on Document Engineering. September 10-13, 2013. Florence, Italy, pp. 169-172, ACM Press, New York, USA, 2013. ISBN 978-1-4503-1789-4. DOI 10.1145/2494266.2494300		Clasificado en GGS: Class 3 (events of good quality); CORE: B (good conference, and well regarded in a discipline area); LiveSHINE: B; Microsoft Academic: B
Ponencia en congreso	2013	David Vilares Calvo	David Vilares, Miguel A. Alonso and Carlos Gómez-Rodríguez, LyS at TASS 2013: Analysing Spanish tweets by means of dependency parsing, semantic-oriented lexicons and psychometric word-properties, in Alberto Díaz Esteban, Iñaki Alegría Loinaz and Julio Villena Román (eds.), XXIX Congreso de la Sociedad Española de Procesamiento de lenguaje natural (SEPLN 2013). TASS 2013 - Workshop on Sentiment Analysis at SEPLN 2013, pp. 179-186, Madrid, Spain, 2013. ISBN 978-84-695-8349-4.		Organizado por la Sociedad Española par Procesamiento del Lenguaje Natural
Ponencia en congreso	2013	David Vilares Calvo	Jesús Vilares, Miguel A. Alonso and David Vilares, Prototipado Rápido de un Sistema de Normalización de Tuits: Una Aproximación Léxica, in Alberto Díaz Esteban, Iñaki Alegría Loinaz and Julio Villena Román (eds.), XXIX Congreso de la Sociedad Española de Procesamiento de lenguaje natural (SEPLN 2013). Tweet Normalization Workshop at SEPLN 2013, pp. 76-80, Madrid, Spain, 2013. ISBN 978-84-695-8349-4. Also in Iñaki Alegria, Nora Aranberri, Víctor Fresno, Pablo Gamallo, Lluís Padró, Iñaki San Vicente, Jordi Turmo, and Arkaitz Zubiaga (eds.), Tweet-Norm 2013. Tweet Normalization Workshop 2013. Proceedings of the Tweet Normalization Workshop co-located with 29th Conference of the Spanish Society for Natural Language Processing (SEPLN 2013). Madrid, Spain, September 20th, 2013, CEUR Workshop Proceedings, Vol-1086, pp. 39-43. ISSN 1613-0073.			Organizado por la Sociedad Española par Procesamiento del Lenguaje Natural
Ponencia en congreso	2012	David Vilares Calvo	Jesús Vilares, Adrián Blanco and David Vilares, Estudio Bidireccional de un Sistema de RI Multilingüe Basado en Traducción de n-Gramas, in Rafael Berlanga and Paolo Rosso (eds.), II Congreso Español de Recuperación de la Información, Number 11 of Col.lecció e-Traballs d'Informàtica i Tecnologia, pp. 25-36, Publicacions de la Universitat Jaume I, Castelló de la Plana, Spain, 2012. ISBN 978-84-8021-860-3.		Organizado por la Sociedad Española de Recuperación de Información
Capítulo de libro	2016	Ángel Monteagudo	Santos, J. and Monteagudo, A. (2016), “Tumor growth emergent behavior analysis based on cancer hallmarks and in a cancer stem cell context”, Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology.		Libro editado por Elsevier/MK, Cambridge.
Artículo revista	2015	Ángel Monteagudo	Monteagudo, A. and Santos, J. (2015), “Treatment analysis in a cancer stem cell context using a tumor growth model based on cellular automata”, Plos One, doi: 10.1371/journal.pone.0132306.		Factor Impacto 3.057 in 2015, 4 citas, Q1
Artículo revista	2014	Ángel Monteagudo	Santos, J. and Monteagudo, A. (2014), “Analysis of behaviour transitions in tumour growth using a cellular automaton simulation”, IET Systems Biology 9(3):75-87.		F.I. 1.672, 5 c. en g.s., Q2.
Artículo revista	2014	Ángel Monteagudo	Monteagudo, A. and Santos, J. (2014), “Studying the capability of different cancer hallmarks to initiate tumor growth using a cellular automaton simulation. Application in a cancer stem cell context”, Biosystems 115:46-58.		F.I. 1.548, 14 citas, Q2
Artículo en Congreso Internacional	2015	Ángel Monteagudo	Monteagudo, A. and Santos, J. (2015), “Evolutionary optimization of cancer treatments in a cancer stem cell context”, ACM Proceedings Genetic and Evolutionary 6Computation Conference (GECCO 2015), 233-240.		GECCO 2015 Best paper of the track Biological and Biomedical Applications (Congreso Core A)
Artículo en Congreso Internacional	2013	Ángel Monteagudo	Monteagudo, A. and Santos, J. (2013), “Cancer stem cell modeling using a cellular automaton”, Proceedings International Work-Conference on the Interplay between Natural and Artificial Computation. LNCS 793: 21-31.		IWINAC 2013 (Congreso Internacional)
Artículo en Congreso Internacional	2012	Ángel Monteagudo	Santos, J. and Monteagudo, A. (2012), “Study of cancer hallmarks relevance using a cellular automaton tumor growth model”, PPSN 2012 - Parallel Problem Solving from Nature, LNCS 7491:489-499.		PPSN 2012 - Parallel Problem Solving from Nature (9 cites, Congreso Core A)
Artículo en Congreso Internacional	2012	Ángel Monteagudo	Monteagudo, A. and Santos, J. (2012), “A cellular automaton model for tumor growth simulation”, Advances in Intelligent and Soft-Computing. Proceedings 6th International Conference on Practical Applications of Computational Biology & Bioinformatics, Vol. 154: 147-155, Springer Verlag.		6th International Conference on Practical Applications of Computational Biology & Bioinformatics (Congreso Internacional)
Artículo	2016	Jorge Fandiño García	Jorge Fandiño. Deriving conclusions from non-monotonic cause-effect relations. Theory and Practice of Logic Programming 16(5-6): 670-687 (2016)		Revista JCR-Q1
Artículo	2016	Jorge Fandiño García	Jorge Fandiño. Towards Deriving Conclusions from Cause-effect Relations. Fundamenta Informaticae 147(1): 93-131 (2016)		Revista JCR-Q3
Artículo	2016	Jorge Fandiño García	P. Cabalar and J. Fandiño. Justifications for programs with disjunctive and causal-choice rules. Theory and Practice of Logic Programming, 16(5-6), 587-603, 2016.		Revista JCR-Q1
Artículo	2015	Jorge Fandiño García	P. Cabalar and J. Fandiño, Enablers and inhibitors in causal justifications of logic programs. Theory and Practice of Logic Programming, 17(1), 49-74, 2015		Revista JCR-Q1 Best paper award en LPNMR-15
Artículo	2014	Jorge Fandiño García	P. Cabalar, J. Fandinno and M. Fink, "Causal Graph Justifications of Logic Programs," Theory and Practice of Logic Programming 14 (4-5), 603-618, 2014.		Revista JCR-Q1