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Author Title (up) Year Publication Volume Pages
Sergio Escalera; Alicia Fornes; Oriol Pujol; Josep Llados; Petia Radeva Circular Blurred Shape Model for Multiclass Symbol Recognition 2011 IEEE Transactions on Systems, Man and Cybernetics (Part B) (IEEE) 41 497-506
Marc Masana; Xialei Liu; Bartlomiej Twardowski; Mikel Menta; Andrew Bagdanov; Joost Van de Weijer Class-incremental learning: survey and performance evaluation 2022 IEEE Transactions on Pattern Analysis and Machine Intelligence
Kunal Biswas; Palaiahnakote Shivakumara; Umapada Pal; Tong Lu; Michel Blumenstein; Josep Llados Classification of aesthetic natural scene images using statistical and semantic features 2023 Multimedia Tools and Applications 82 13507-13532
AN Ruchai; VI Kober; KA Dorofeev; VN Karnaukhov; Mikhail Mozerov Classification of breast abnormalities using a deep convolutional neural network and transfer learning 2021 Journal of Communications Technology and Electronics 66 778–783
Carolina Malagelada; Michal Drozdzal; Santiago Segui; Sara Mendez; Jordi Vitria; Petia Radeva; Javier Santos; Anna Accarino; Juan R. Malagelada; Fernando Azpiroz Classification of functional bowel disorders by objective physiological criteria based on endoluminal image analysis 2015 American Journal of Physiology-Gastrointestinal and Liver Physiology 309 G413--G419
Jose Luis Gomez; Gabriel Villalonga; Antonio Lopez Co-Training for Deep Object Detection: Comparing Single-Modal and Multi-Modal Approaches 2021 Sensors 21 3185
Gabriel Villalonga; Antonio Lopez Co-Training for On-Board Deep Object Detection 2020 IEEE Access 194441 - 194456
Jose Luis Gomez; Gabriel Villalonga; Antonio Lopez Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models 2023 Sensors – Special Issue on “Machine Learning for Autonomous Driving Perception and Prediction” 23 621
Zhen Xu; Sergio Escalera; Adrien Pavao; Magali Richard; Wei-Wei Tu; Quanming Yao; Huan Zhao; Isabelle Guyon Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform 2022 Patterns 3 100543
Adrien Pavao; Isabelle Guyon; Anne-Catherine Letournel; Dinh-Tuan Tran; Xavier Baro; Hugo Jair Escalante; Sergio Escalera; Tyler Thomas; Zhen Xu CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges 2023 Journal of Machine Learning Research
Giuseppe Pezzano; Oliver Diaz; Vicent Ribas Ripoll; Petia Radeva CoLe-CNN+: Context learning – Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation 2021 Computers in Biology and Medicine 136 104689
Giuseppe Pezzano; Vicent Ribas Ripoll; Petia Radeva CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation 2021 Computer Methods and Programs in Biomedicine 198 105792
Javier Vazquez; C. Alejandro Parraga; Maria Vanrell; Ramon Baldrich Color Constancy Algorithms: Psychophysical Evaluation on a New Dataset 2009 Journal of Imaging Science and Technology 53 031105–9
Javier Vazquez; Maria Vanrell; Ramon Baldrich; Francesc Tous Color Constancy by Category Correlation 2012 IEEE Transactions on Image Processing 21 1997-2007
Arjan Gijsenij; R. Lu; Theo Gevers; De Xu Color Constancy for Multiple Light Source 2012 IEEE Transactions on Image Processing 21 697-707