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	Author	Title	Year	Publication	Volume	Pages	Links
	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

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