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	Author	Title	Year	Publication	Volume	Pages	Links
	Javier Marin; David Vazquez; Antonio Lopez; Jaume Amores; Ludmila I. Kuncheva	Occlusion handling via random subspace classifiers for human detection	2014	IEEE Transactions on Systems, Man, and Cybernetics (Part B)	44	342-354
	Javier Marin; David Vazquez; Antonio Lopez; Jaume Amores; Bastian Leibe	Random Forests of Local Experts for Pedestrian Detection	2013	15th IEEE International Conference on Computer Vision		2592 - 2599
	Javier Marin; David Geronimo; David Vazquez; Antonio Lopez	Pedestrian Detection: Exploring Virtual Worlds	2012	Handbook of Pattern Recognition: Methods and Application	5	145-162
	Javier Marin	Pedestrian Detection Based on Local Experts	2013	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Javier Marin	Virtual learning for real testing	2009	CVC Technical Report	150
	Javier M. Olaso; Alain Vazquez; Leila Ben Letaifa; Mikel de Velasco; Aymen Mtibaa; Mohamed Amine Hmani; Dijana Petrovska-Delacretaz; Gerard Chollet; Cesar Montenegro; Asier Lopez-Zorrilla; Raquel Justo; Roberto Santana; Jofre Tenorio-Laranga; Eduardo Gonzalez-Fraile; Begoña Fernandez-Ruanova; Gennaro Cordasco; Anna Esposito; Kristin Beck Gjellesvik; Anna Torp Johansen; Maria Stylianou Kornes; Colin Pickard; Cornelius Glackin; Gary Cahalane; Pau Buch; Cristina Palmero; Sergio Escalera; Olga Gordeeva; Olivier Deroo; Anaïs Fernandez; Daria Kyslitska; Jose Antonio Lozano; Maria Ines Torres; Stephan Schlogl	The EMPATHIC Virtual Coach: a demo	2021	23rd ACM International Conference on Multimodal Interaction		848-851
	Javier Jimenez; Antonio Lopez; Joan Serrat	Un enfoque ABP aplicado a Ingenieria del Software	2007	Seminario Internacional RED–U 2–07 para El desarrollo de la autonomia en el aprendizaje
	Javad Zolfaghari Bengar; Joost Van de Weijer; Laura Lopez-Fuentes; Bogdan Raducanu	Class-Balanced Active Learning for Image Classification	2022	Winter Conference on Applications of Computer Vision
	Javad Zolfaghari Bengar; Joost Van de Weijer; Bartlomiej Twardowski; Bogdan Raducanu	Reducing Label Effort: Self- Supervised Meets Active Learning	2021	International Conference on Computer Vision Workshops		1631-1639
	Javad Zolfaghari Bengar; Bogdan Raducanu; Joost Van de Weijer	When Deep Learners Change Their Mind: Learning Dynamics for Active Learning	2021	19th International Conference on Computer Analysis of Images and Patterns	13052	403-413
	Javad Zolfaghari Bengar; Abel Gonzalez-Garcia; Gabriel Villalonga; Bogdan Raducanu; Hamed H. Aghdam; Mikhail Mozerov; Antonio Lopez; Joost Van de Weijer	Temporal Coherence for Active Learning in Videos	2019	IEEE International Conference on Computer Vision Workshops		914-923
	Javad Zolfaghari Bengar	Reducing Label Effort with Deep Active Learning	2021	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Jaume Rodriguez; S. Yacoub; Gemma Sanchez; Josep Llados	Performance Evaluation, Comparison and Combination of Commercial Handwriting Recognition Engines	2006	CVC Technical Report #93
	Jaume Gibert; Ernest Valveny; Oriol Ramos Terrades; Horst Bunke	Multiple Classifiers for Graph of Words Embedding	2011	10th International Conference on Multiple Classifier Systems	6713	36-45
	Jaume Gibert; Ernest Valveny; Horst Bunke; Alicia Fornes	On the Correlation of Graph Edit Distance and L1 Distance in the Attribute Statistics Embedding Space	2012	Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop	7626	135-143

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