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	Author	Title	Year	Publication	Volume	Pages	Links
	Guillermo Torres; Debora Gil; Antonio Rosell; Sonia Baeza; Carles Sanchez	A radiomic biopsy for virtual histology of pulmonary nodules	2023	IEEE International Symposium on Biomedical Imaging
	Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z Li	Advances in Face Presentation Attack Detection	2023	Advances in Face Presentation Attack Detection
	Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z Li	Face Presentation Attack Detection (PAD) Challenges	2023	Advances in Face Presentation Attack Detection		17–35
	Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z Li	Best Solutions Proposed in the Context of the Face Anti-spoofing Challenge Series	2023	Advances in Face Presentation Attack Detection		37–78
	Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z Li	Face Anti-spoofing Progress Driven by Academic Challenges	2023	Advances in Face Presentation Attack Detection		1–15
	Jose Luis Gomez	Synth-to-real semi-supervised learning for visual tasks	2023	Going beyond Classification Problems for the Continual Learning of Deep Neural Networks
	Jose Elias Yauri	Deep Learning Based Data Fusion Approaches for the Assessment of Cognitive States on EEG Signals	2023	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Artur Xarles; Sergio Escalera; Thomas B. Moeslund; Albert Clapes	ASTRA: An Action Spotting TRAnsformer for Soccer Videos	2023	Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports		93–102
	Marcin Przewiezlikowski; Mateusz Pyla; Bartosz Zielinski; Bartłomiej Twardowski; Jacek Tabor; Marek Smieja	Augmentation-aware Self-supervised Learning with Guided Projector	2023	arxiv
	Mateusz Pyla; Kamil Deja; Bartłomiej Twardowski; Tomasz Trzcinski	Bayesian Flow Networks in Continual Learning	2023	arxiv
	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
	Eduardo Aguilar; Bogdan Raducanu; Petia Radeva; Joost Van de Weijer	Continual Evidential Deep Learning for Out-of-Distribution Detection	2023	Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops		3444-3454
	Iban Berganzo-Besga; Hector A. Orengo; Felipe Lumbreras; Aftab Alam; Rosie Campbell; Petrus J Gerrits; Jonas Gregorio de Souza; Afifa Khan; Maria Suarez Moreno; Jack Tomaney; Rebecca C Roberts; Cameron A Petrie	Curriculum learning-based strategy for low-density archaeological mound detection from historical maps in India and Pakistan	2023	Scientific Reports	13	11257
	Ruben Ballester; Carles Casacuberta; Sergio Escalera	Decorrelating neurons using persistence	2023	ARXIV
	Chuanming Tang; Kai Wang; Joost van de Weijer; Jianlin Zhang; Yongmei Huang	Exploiting Image-Related Inductive Biases in Single-Branch Visual Tracking	2023	Arxiv

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