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SCI-JCR indexed journal papers
Núñez, C., Mesejo, P., and Fernández-Olivares, J., “A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making”, accepted for publication at ACM Computing Surveys, April - 2024 (IF2022: 16.6 (Q1, D1), 3rd/111 in subject category COMPUTER SCIENCE, THEORY & METHODS)
Bello, M., Costa, P., Nápoles, G., Mesejo, P., and Cordón, Ó., “ExplainLFS: Explaining Neural Architectures for Similarity Learning from Local Perturbations in the Latent Feature Space”, accepted for publication at Information Fusion, April - 2024 (IF2022: 18.6 (Q1, D1), 2nd/111 in subject category COMPUTER SCIENCE, THEORY & METHODS, and 4th/145 in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
Martínez-Moreno, P., Valsecchi, A., Irurita, J., Damas, S. and Mesejo, P., “Information fusion for subadult age estimation from deciduous teeth using machine learning techniques”, accepted for publication at American Journal of Biological Anthropology, January - 2024 (IF2022: 2.8, (Q1, D1) 9th/92 in subject category ANTHROPOLOGY, (Q3) 27th/52 in subject category EVOLUTIONARY BIOLOGY)
Bello, M., Nápoles, G., Concepción, L., Bello, R., Mesejo, P., and Cordón, Ó., “REPROT: Explaining the Predictions of Complex Deep Learning Architectures for Object Detection Through Reducts of an Image”, Information Sciences, 654, 119851, January - 2024 (IF2022: 8.1, 13th/158 (Q1, D1) in subject category COMPUTER SCIENCE, INFORMATION SYSTEMS)
Gómez, Ó., Mesejo, P., Ibáñez, Ó., Valsecchi, A., Bermejo, E., Cerezo, A., Pérez, J., Alemán, I., Kahana, T., Damas, S. and Cordón, Ó., “Evaluating Artificial Intelligence for Comparative Radiography”, International Journal of Legal Medicine, 138, 307-327, August - 2023 (IF2022: 2.1, 5th/17 (Q2) in subject category MEDICINE, LEGAL)
Gómez, G., Mesejo, P., and Cordón, Ó., “Cascade of convolutional models for few-shot automatic cephalometric landmarks localization”, Engineering Applications of Artificial Intelligence, 123, 106391, August - 2023 (IF2022: 8.0, 25th/145 (Q1) in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, 7th/65 (Q1) in subject category AUTOMATION & CONTROL SYSTEMS)
Fernández-Moreno, M., Lei, B., Holm, E.A., Mesejo, P., and Moreno-Salinas, R., “Exploring the trade-off between performance and annotation complexity in semantic segmentation”, Engineering Applications of Artificial Intelligence, 123, 106299, August - 2023 (IF2022: 8.0, 25th/145 (Q1) in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, 7th/65 (Q1) in subject category AUTOMATION & CONTROL SYSTEMS)
Bi, Y., Xue, B., Mesejo, P., Cagnoni, S., and Zhang, M., “A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends”, IEEE Transactions on Evolutionary Computation, 35(8), 5987-5998, March - 2023 (IF2022: 14.3, 6th/145 (Q1, D1) in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, 4th/111 (Q1, D1) in subject category COMPUTER SCIENCE, THEORY & METHODS)
Vargas-Pérez, V.A., Mesejo, P., Chica, M., and Cordón, Ó., “Deep reinforcement learning in agent-based simulations for optimal media planning”, Information Fusion, 91, 644-664, March - 2023 (IF2022: 18.6, 2nd/111 (Q1, D1) in subject category COMPUTER SCIENCE, THEORY & METHODS, and 4th/145 (Q1, D1) in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
Venema, J., Peula, D., Irurita, J., and Mesejo, P., “Employing deep learning for sex estimation of adult individuals using 2D images of the humerus”, Neural Computing & Applications, 35(8), 5987-5998, March - 2023 (IF2022: 6.0, 41st/145 (Q2) in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
Bermejo, E., Fernández-Blanco, E., Mesejo, P., Valsecchi, A., and Ibáñez, Ó., “FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs”, Expert Systems with Applications, 210, 118457, December - 2022 (IF2022: 8.5, 22nd/145 (Q1) in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, 6th/86 (Q1, D1) in subject category OPERATIONS RESEARCH & MANAGEMENT SCIENCE, 23rd/275 (Q1, D1) in subject category ENGINEERING, ELECTRICAL & ELECTRONIC)
Luengo, J., Moreno, R., Sevillano, I., Charte, D., Peláez, A., Fernández, M., Mesejo, P., and Herrera, F., “A tutorial on the segmentation of metallographic images: taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges”, Information Fusion 78, 232-253, Elsevier, February - 2022 (IF2022: 18.6, 2nd/111 (Q1, D1) in subject category COMPUTER SCIENCE, THEORY & METHODS, and 4th/145 (Q1, D1) in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
Bermejo, E., Imaizumi, K., Taniguchi, K., Ogawa, Y., Martos, R., Valsecchi, A., Mesejo, P., and Ibáñez, Ó., “Automatic landmark annotation in 3D skulls: methodological proposal and reliability study”, Computer Methods and Programs in Biomedicine 210, 106380, Elsevier, October - 2021 (IF2021: 7.027, 20th/98 (Q1) in subject category ENGINEERING, BIOMEDICAL, 6th/31 (Q1) in MEDICAL INFORMATICS, 20th/112 in COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS, and 12th/110 (Q1) COMPUTER SCIENCE, THEORY & METHODS)
Gómez, Ó., Mesejo, P., Ibáñez, Ó., and Cordón, Ó., “Deep architectures for the segmentation of frontal sinuses in X-Ray images: towards an automatic forensic identification system in comparative radiography”, Neurocomputing 456, 575-585, Special Issue on "Hybrid Artificial Intelligent Systems", Elsevier, October - 2021 (IF2021: 5.779, 39th/145 (Q2) in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
Fernández, R., Estévez, E.J., Irurita, J., and Mesejo, P., “Analysis of the performance of machine learning and deep learning methods for sex estimation of infant individuals from the analysis of 2D images of the ilium”, International Journal of Legal Medicine 135, 2659-2666, Elsevier, July - 2021 (IF2021: 2.791, 4th/17 (Q1) in subject category MEDICINE, LEGAL)
Lathuilière, S., Mesejo, P., Alameda-Pineda, X., and Horaud, R., “A Comprehensive Analysis of Deep Regression”, IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (9), 2065-2081, IEEE, August - 2020 (IF2020: 16.389, 1st/139 (Q1, D1) in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, 2nd/273 (Q1, D1) in subject category ENGINEERING, ELECTRICAL & ELECTRONIC)
Mesejo, P., Martos, R., Ibáñez, Ó., Novo, J., and Ortega, M., “A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-based Forensic Human Identification”, Applied Sciences 10 (14), 4703, Special Issue on "Computer-aided Biomedical Imaging 2020: Advances and Prospects", Multidisciplinary Digital Publishing Institute, July - 2020 (IF2020: 2.679, 73rd/160 (Q2) in subject category PHYSICS, APPLIED; 38th/90 (Q2) in subject category ENGINEERING, MULTIDISCIPLINARY; 101st/178 (Q3) in subject category CHEMISTRY, MULTIDISCIPLINARY; 201st/334 (Q3) in subject category MATERIALS SCIENCES, MULTIDISCIPLINARY)
Gómez, Ó., Mesejo, P., Ibáñez, Ó., Valsecchi, A., and Cordón, Ó., “Deep architectures for high-resolution multi-organ chest X-ray image segmentation”, Neural Computing & Applications 32, Special Issue on "Recent Advances in Deep Learning for Medical Image Processing and Health Informatics", 15949-15963, Springer, October - 2019 (IF2020: 5.606, 31st/139 (Q1) in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
Valsecchi, A., Irurita, J., and Mesejo, P., “Age estimation in forensic anthropology: methodological considerations about the validation studies of prediction models”, International Journal of Legal Medicine 133, 1915-1924, Springer, May - 2019 (IF2019: 2.222, 4th/17 (Q1) in subject category MEDICINE, LEGAL)
Lathuilière, S., Massé, B., Mesejo, P., and Horaud, R., “Neural Network based Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction”, Pattern Recognition Letters 118, 61-71, Special Issue on "Cooperative and Social Robots: Understanding Human Activities and Intentions", Elsevier, February - 2019 (IF2019: 3.255 , 46th/139 (Q2) in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
Mesejo, P., Pizarro, D., Abergel, A., Rouquette, O., Beorchia, S., Poincloux, L., and Bartoli, A., “Computer-Aided Classification of Gastrointestinal Lesions in Regular Colonoscopy”, IEEE Transactions on Medical Imaging 35 (9), 2051-2063, IEEE, September - 2016 (IF2016: 3.942, 10th/77 (Q1) in subject category ENGINEERING, BIOMEDICAL, 17th/127 (Q1) in category RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING, 4th/26 (Q1) in subject category IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY, 36th/262 (Q1) in subject category ENGINEERING, ELECTRICAL & ELECTRONIC, and 3rd/105 (Q1, D1) in subject category COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS)
Mesejo, P., Ibáñez, O., Cordón, O., and Cagnoni, S., “A Survey on Image Segmentation using Metaheuristic-based Deformable Models: State of the Art and Critical Analysis”, Applied Soft Computing 44, 1-29, Elsevier, July - 2016 (IF2016: 3.541, 21st/132 (Q1), category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, and 14th/105 (Q1), category COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS)
Mesejo, P., Saillet, S., David, O., Bénar, C., Warnking, J. M., and Forbes, F., “A Differential Evolution-based Approach for Fitting a Nonlinear Biophysical Model to fMRI BOLD Data”, IEEE Journal of Selected Topics in Signal Processing 10 (2), 416-427, IEEE, March - 2016 (IF2016: 5.301, 18th/262 (Q1, D1), category ENGINEERING, ELECTRICAL & ELECTRONIC)
Mesejo, P., Valsecchi, A., Marrakchi-Kacem, L., Cagnoni, S., and Damas, S., “Biomedical Image Segmentation using Geometric Deformable Models and Metaheuristics”, Computerized Medical Imaging and Graphics 43, 167-178, Elsevier, July - 2015 (IF2015: 1.385, 51st/76 (Q3) in subject category BIOMEDICAL ENGINEERING and 93rd/124 (Q3) in RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING)
Mesejo, P., Ibáñez, O., Fernández-Blanco, E., Cedrón, F., Pazos, A., and Porto-Pazos, A., “Artificial Neuron-Glia Networks Learning Approach Based On Cooperative Coevolution”, International Journal of Neural Systems 25 (4): 1550012, World Scientific, April - 2015 (IF2015: 6.085, 2nd/130 (Q1, D1) in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
Ugolotti, R.*, Mesejo, P.*, Zongaro, S., Bardoni, B., Berto, G., Bianchi, F., Molineris, I., Giacobini, M., Cagnoni, S., and Di Cunto, F., ”Visual search of neuropil-enriched RNAs from brain in situ hybridization data through the image analysis pipeline Hippo-ATESC”, PLoS ONE 8 (9): e74481, Public Library of Science, September – 2013 (IF2013: 3.534 , 8th/55 (Q1) in subject category MULTIDISCIPLINARY SCIENCES) *These authors contributed equally to this work.
Ugolotti, R., Nashed, Y.S.G., Mesejo, P., Ivekovic, S., Mussi, L., and Cagnoni, S., “Particle Swarm Optimization and Differential Evolution for Model-based Object Detection”, Applied Soft Computing 13 (6), 3092-3105, Elsevier, June – 2013 (IF2013: 2.679 , 20th/121 (Q1) in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
Mesejo, P., Ugolotti, R., Di Cunto, F., Giacobini, M., and Cagnoni, S., “Automatic Hippocampus Localization in Histological Images using Differential Evolution-Based Deformable Models”, Pattern Recognition Letters 34 (3), 299-307, Elsevier, February – 2013 (IF2013: 1.062 , 71st/121 (Q3) in subject category COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
Porto-Pazos, A., Veiguela, N., Mesejo, P., Navarrete, M., Alvarellos, A., Ibáñez, O., Pazos, A., and Araque, A., “Artificial Astrocytes Improve Neural Network Performance”, PLoS ONE 6 (4): e19109, Public Library of Science, April – 2011 (IF2011: 4.092 , 12th/85 (Q1) in subject category BIOLOGY)
Conference papers, non SCI-JCR indexed journal papers and book chapters
Núñez-Molina, C., Asai, M., Mesejo, P., and Fernández-Olivares, J., “On Using Admissible Bounds for Learning Forward Search Heuristics”, 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), August 03-09, Jeju (South Korea), 2024 (GGS Rating A++; CORE A++)
Núñez-Molina, C., Mesejo, P., and Fernández-Olivares, J., “Towards a Unified Framework for Sequential Decision Making”, ICAPS 2023 Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL'23), July 09-10, 2023 (GGS Rating A; CORE A++)
Valsecchi, A., Gómez, Ó, González, A., Macías, M., De Dios, M., Panizo, M., Prada, K., Flores, M., Kaiser, S., Lurromi, N., Bermejo, E., Mesejo, P., Damas, S., Cordón, Ó., and Ibáñez, Ó., “Skeleton-ID: AI-driven Human Identification”, IEEE Conference on Artificial Intelligence (CAI'23), June 05-06, 2023
Villar, M., Valsecchi, A., and Mesejo, P., “Forensic Human Identification from Facial and Cranial Images using Deep Learning”, accepted for oral presentation at the 75th Annual American Association of Forensic Sciences (AAFS) Scientific Conference, Orlando (USA), February 13-18, 2023
Sánchez-Muñoz, C., Mesejo, P. and Damas, S., “Forensic Identification using Craniofacial Superimposition: Estimation of Facial Soft Tissue Depth using Machine Learning Techniques”, accepted for oral presentation at the 75th Annual American Association of Forensic Sciences (AAFS) Scientific Conference, Orlando (USA), February 13-18, 2023
Gómez, G., Lathuilière, S., Mesejo, P., and Cordón, Ó., “Custom Structure Preservation in Face Aging”, 17th European Conference on Computer Vision (ECCV'22), Tel-Aviv (Israel), October 23-27, 2022 (GGS Rating A++; CORE A++; acceptance rate ~28%)
Garzón, I., Mesejo, P., and Giráldez, J., “On the performance of deep generative models of realistic SAT instances”, 25th International Conference on Theory and Practice of Satisfiability Testing (SAT'22), Haifa (Israel), August 2-5, 2022 (GGS Rating A; CORE A)
Núñez-Molina, C., Mesejo, P., and Fernández-Olivares, J., “A Proposal to Generate Planning Problems with Graph Neural Networks”, ICAPS 2022 Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL'22), June 13-24, 2022 (GGS Rating A; CORE A++)
Gómez, Ó., Mesejo, P., and Ibáñez, Ó., “Automatic segmentation of skeletal structures in x-ray images using deep learning for comparative radiography”, Forensic Imaging, Elsevier, 2021
Lathuilière, S., Guy, S., Mesejo, P., and Horaud, R., “Learning Visual Voice Activity Detection with an Automatically Annotated Dataset”, 25th International Conference on Pattern Recognition (ICPR’20), Milan (Italy), January-2021 (CORE2018 B, GGS rating A-, first round acceptance rate ~30%)
Mesejo, P., “Soft computing and computer vision for comparative radiography in forensic identification”, dissemination article at The Project Repository Journal 5, 12-15, April-2020
Gómez, Ó., Mesejo, P., Ibáñez, Ó., Valsecchi, A., and Cordón, Ó., “A real-coded evolutionary algorithm-based registration approach for forensic identification using the radiographic comparison of frontal sinuses”, 22nd IEEE Congress on Evolutionary Computation (IEEE CEC’20), Glasgow (UK), July-2020 (CORE2018 B, GGS rating A-)
Ibáñez, Ó., Martos, R., and Mesejo, P., “Inteligencia Artificial en Antropología Forense: estado del arte, retos y oportunidades”, Revista Internacional de Antropología y Odontología Forense / International Journal of Forensic Anthropology and Odontology, Volume 3, Number 2, pages 6-41, July-2020
Ibáñez, Ó., Alemán, I., Bermejo, E., Corbal, I., Cordón, Ó., Damas, S., Gómez, G., Gómez, I., Gómez, Ó., González, A., Macías, M., Martos, R., Mesejo, P., Panizo, M., Prada, K., and Valsecchi, A., “El proyecto Skeleton-ID: hacia una identificación humana más rápida, objetiva y precisa”, Revista Internacional de Antropología y Odontología Forense / International Journal of Forensic Anthropology and Odontology, Volume 3, Number 2, pages 71-88, July-2020
Gómez, Ó., Mesejo, P., Ibáñez, Ó., Valsecchi, A., Cerezo, A., Pérez, J.M., Alemán, I., and Cordón, Ó., “Automatic segmentation of skeletal structures in X-ray images using deep learning for comparative radiography”, accepted for oral presentation at the 9th Annual Congress of the International Society of Forensic Radiology and Imaging (ISFRI'20), Albuquerque (USA), May 14-16, 2020. Cancelled due to COVID-19. (2020 ISFRI Prize)
Gómez, Ó., Ibáñez, Ó., Mesejo, P., Valsecchi, A., Cerezo, A., Pérez, J.M., Alemán, I., and Cordón, Ó., “Towards a computer-aided decision support system for comparative radiography”, accepted for oral presentation at the 9th Annual Congress of the International Society of Forensic Radiology and Imaging (ISFRI'20), Albuquerque (USA), May 14-16, 2020. Cancelled due to COVID-19.
Ibáñez, Ó., Corbal, I., Gómez, I., Gómez, Ó., González, A., Macías, M., Prada, K., Valsecchi, A., and Mesejo, P., “Skeleton-ID: Artificial Intelligence at the service of Forensic Anthropology”, accepted for presentation at the 11th International Scientific Meeting of the Spanish Association of Forensic Anthropology and Odontology (AEAOF'19), Pastrana (Spain), November 8-9, 2019
Gómez, Ó., Ibáñez, Ó., Mesejo, P., Valsecchi, A., and Cordón, Ó., “Towards a computer-aided decision support system for comparative radiography”, accepted for presentation at the 11th International Scientific Meeting of the Spanish Association of Forensic Anthropology and Odontology (AEAOF'19), Pastrana (Spain), November 8-9, 2019
Gómez, G., Mesejo, P., Ibáñez, Ó., Valsecchi, A., and Cordón, Ó., "Automatic localization of cephalometric landmarks using convolutional networks", accepted for presentation at the 11th International Scientific Meeting of the Spanish Association of Forensic Anthropology and Odontology (AEAOF'19), Pastrana (Spain), November 8-9, 2019
Irurita, J., Valsecchi, A., Mesejo, P., and Alemán, I., “Improvement of a method for estimating dental age in children through the use of learning algorithms”, accepted for presentation at the 21st Congress of the Spanish Society of Physical Anthropology (SEAF'19), Granada, June 24-26, 2019
Vladimirova, M., Verbeek, J., Mesejo, P., and Arbel, J., “Bayesian neural network priors at the level of units”, 12th International Conference on Bayesian Non-Parametrics (BNP'12), Oxford (UK), June - 2019
Vladimirova, M., Verbeek, J., Mesejo, P., and Arbel, J., “Understanding Priors in Bayesian Neural Networks at the Unit Level”, International Conference on Machine Learning (ICML'19), Long Beach, June - 2019 (CORE2018 A*, GGS rating A++, acceptance rate ~23%)
Fernández, E., Valsecchi, A., Ibáñez, Ó., and Mesejo, P., “Estimating subject-to-camera distance in facial images using Deep Learning”, accepted for a podium presentation at the 18th Biennial Meeting of the International Association of Craniofacial Identification (IACI'19) July 13-17, 2019 in Baton Rouge, Louisiana, USA. Canceled due to Tropical Storm Threat, and re-organized then as "IACI 2019 Online Symposium"
Gómez, Ó., Mesejo, P., Ibáñez, Ó., Valsecchi, A., and Cordón, Ó., “Automatic segmentation of skeletal structures in x-ray images using deep learning: Towards a computer-aided decision support system for comparative radiography”, accepted for a podium presentation at the 18th Biennial Meeting of the International Association of Craniofacial Identification (IACI'19) July 13-17, 2019 in Baton Rouge, Louisiana, USA. Canceled due to Tropical Storm Threat, and re-organized then as "IACI 2019 Online Symposium"
Urdín, D., Mesejo, P., Ibáñez, Ó., Valsecchi, A., Guyomarc'h, P., and Coqueugniot, H., “Facial Soft Tissue Depth Estimation using Machine Learning Techniques”, accepted for a podium presentation at the 18th Biennial Meeting of the International Association of Craniofacial Identification (IACI'19) July 13-17, 2019 in Baton Rouge, Louisiana, USA. Canceled due to Tropical Storm Threat, and re-organized then as "IACI 2019 Online Symposium"
Gómez, G., Mesejo, P., Ibáñez, Ó., and Valsecchi, A., “Automatic Cephalometric Landmarks Localization using Deep Convolutional Neural Networks”, accepted for a poster presentation at the 18th Biennial Meeting of the International Association of Craniofacial Identification (IACI'19) July 13-17, 2019 in Baton Rouge, Louisiana, USA. Canceled due to Tropical Storm Threat, and re-organized then as "IACI 2019 Online Symposium"
Massé, B., Lathuilière, S., Mesejo, P., and Horaud, R., “Extended Gaze-Following: Detecting Objects in Videos Beyond the Camera Field of View”, accepted at the 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG'19), Lille, May - 2019 (CORE2018 C, GGS rating A-, oral presentation acceptance rate ~20%)
Vladimirova, M., Arbel, J., and Mesejo, P., “Bayesian neural networks become heavier-tailed with depth”, 3rd Bayesian Deep Learning NIPS 2018 Workshop (BDL'18), Montréal, December - 2018
Vladimirova, M., Arbel, J., and Mesejo, P., “Bayesian neural network priors at the level of units”, 1st Symposium on Advances in Approximate Bayesian Inference (AABI'18), Montréal, December - 2018
Lathuilière, S., Massé, B., Mesejo, P., and Horaud, R., “Deep Reinforcement Learning for Audio-Visual Gaze Control”, 31st IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'18), Madrid, October - 2018 (CORE2018 A, GGS rating A+, acceptance rate ~47%)
Lathuilière, S., Mesejo, P., Alameda-Pineda, X., and Horaud, R., “DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model”, 15th European Conference on Computer Vision (ECCV’18), Munich, September - 2018 (CORE2018 A, GGS rating A+, acceptance rate ~25%)
Lathuilière, S., Juge, R., Mesejo, P., Muñoz-Salinas, R., and Horaud, R., "Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation", 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17), 7149-7157, Hawaii, July - 2017 (CORE2017 A, GGS rating A++, acceptance rate ~30%)
Mesejo, P., Saillet, S., David, O., Bénar, C., Warnking, J.M., and Forbes, F., “Estimating biophysical parameters from BOLD signals through evolutionary-based optimization”, 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’15), Part II, 528-535, Munich, October - 2015 (CORE2014 A, GGS rating A, acceptance rate ~32%)
Collins, T., Mesejo, P., and Bartoli, A., “An Analysis of Errors in Graph-based Keypoint Matching and Proposed Solutions”, 13th European Conference on Computer Vision (ECCV’14), 138-153, Zürich, September - 2014 (CORE2014 A, GGS rating A+, acceptance rate ~27%)
Mesejo, P. and Cagnoni, S., “Automatic Segmentation of Anatomical Structures using Deformable Models and Bio-Inspired/Soft Computing”, Electronic Letters on Computer Vision and Image Analysis, Volume 13, Number 2, 2014
Valsecchi, A., Mesejo, P., Marrakchi-Kacem, L., Cagnoni, S., and Damas, S., “Automatic Evolutionary Medical Image Segmentation using Deformable Models”, 16th IEEE Congress on Evolutionary Computation (CEC’14), 97-104, Beijing, July - 2014 (CORE2014 B, GGS rating A-)
Fernández-Lozano, C., Seoane, J.A., Mesejo, P., Nashed, Y.S.G., Cagnoni, S., and Dorado, J., "Texture Classification of Proteins Using Support Vector Machines and Bio-Inspired Metaheuristics", Biomedical Engineering Systems and Technologies, Communications in Computer and Information Science, 117-130, 2014
Ugolotti, R., Mesejo, P., Nashed, Y.S.G., and Cagnoni, S., “GPU-based Automatic Configuration of Differential Evolution: a case study”, 16th Portuguese Conference on Artificial Intelligence (EPIA’13), Progress in Artificial Intelligence, Lecture Notes in Computer Science Volume 8154, 114-125, Azores, 2013 (acceptance rate ~25%)
Mesejo, P., Cagnoni, S., Costalunga, A., and Valeriani, D., “Segmentation of Histological Images using a Metaheuristic-based Level Set Approach”, 15th Genetic and Evolutionary Computation Conference companion (GECCO’13), 1455-1462, Amsterdam, July – 2013 (CORE2013 A, GGS rating A)
Ugolotti, R., Nashed, Y.S.G., Mesejo, P., and Cagnoni, S., “Algorithm Configuration using GPU-based Metaheuristics”, 15th Genetic and Evolutionary Computation Conference companion (GECCO’13), 221-222, Amsterdam, July – 2013 (CORE2013 A, GGS rating A)
Mesejo, P. and Cagnoni, S., “An experimental study on the automatic segmentation of in situ hybridization-derived images”, 1st International Conference on Medical Imaging using Bio-Inspired and Soft Computing (MIBISOC’13), 153-160, Brussels, May – 2013
Fernández-Lozano, C., Seoane, J.A., Mesejo, P., Nashed, Y.S.G., Cagnoni, S., and Dorado, J., ''2D-PAGE Texture Classification Using Support Vector Machines and Genetic Algorithms'', 6th International Joint Conference on Biomedical Engineering Systems and Technologies: International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC’13), 5-14, Barcelona, February – 2013 (full paper acceptance rate ~15%)
Nashed, Y.S.G., Mesejo, P., Ugolotti, R., Dubois-Lacoste, J., Cagnoni, S., “A comparative study of three GPU-based metaheuristics”, 12th International Conference on Parallel Problem Solving from Nature (PPSN’12), 398-407, Taormina, September – 2012 (CORE2012 A, GGS rating A-, acceptance rate ~45%)
Nashed, Y.S.G., Ugolotti, R., Mesejo, P., Cagnoni, S., “libCudaOptimize: an Open Source Library of GPU-based Metaheuristics”, 14th Genetic and Evolutionary Computation Conference companion (GECCO’12), 117-124, Philadelphia, July – 2012 (CORE2012 A, GGS rating A)
Cagnoni, S., Cordón, O., Mesejo, P., Nashed, Y.S.G., Ugolotti, R., “First Results and Future Developments of the MIBISOC Project in the IBISlab of the University of Parma”, 14th Genetic and Evolutionary Computation Conference companion (GECCO’12), 509-516, Philadelphia, July – 2012 (CORE2012 A, GGS rating A)
Mesejo, P., Ugolotti, R., Di Cunto, F., Cagnoni, S., and Giacobini, M., “Automatic Segmentation of Hippocampus in Histological Images of Mouse Brains using Deformable Models and Random Forest”, 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS’12), 1-4, Rome, June – 2012 (GGS rating B, acceptance rate ~50%)
Romero-Porta, F., Mesejo P., Ibáñez O. and Porto-Pazos, A. B., “Optimización mediante Computación Evolutiva de la interacción Neurona-Astrocito en Redes Neurogliales Artificiales”, 8th Congreso Español sobre metaheurísticas, algoritmos evolutivos y bioinspirados (MAEB’12), Albacete, February – 2012
Ugolotti, R., Mesejo, P., Cagnoni, S., Giacobini, M., and Di Cunto, F., “Automatic Hippocampus Localization in Histological Images using PSO-based Deformable Models”, 13th Genetic and Evolutionary Computation Conference companion (GECCO’11), 487-494, Dublin, July – 2011 (CORE2011 A, GGS rating A)
Mesejo, P., Fernández-Blanco, E., Seoane, J. A., Ruiz-Romero, C., Dorado, J., Blanco, F. J., “2D-PAGE image analysis using Evolutionary Computation”, 8th Spanish Symposium on bioinformatics and computational biology, Valencia, 88-91, February – 2008
Mesejo, P., Fernández-Blanco, E., Martínez Feijóo, D., Blanco, F. J., “2D-PAGE Analysis using Evolutionary Computation”, Encyclopedia of Artificial Intelligence, Idea Group, 1583-1588, ISBN: 978-1-59904-849-9, 2008
Seoane, J. A., Mesejo, P., Ruiz-Romero, C., Dorado, J., Pazos, A., Blanco, F. J., “Diagnóstico por imagen en reumatología: de la imagen radiológica a la imagen molecular”, I + S: Informática y Salud, Sociedad Española de Informática y Salud, 62: 9-17, ISSN: 1579-8070, April – 2007