Jordi Vitrià

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petia radevaFull professor, University of Barcelona, Senior Researcher Barcelona Supercomputing CenterVerified email at ub.edu
Santi SeguíUniversitat de Barcelona (UB)Verified email at ub.edu
Oriol PujolFull Professor of Computer Science and Artificial Intelligence, Universitat de BarcelonaVerified email at ub.edu
David Masip RodoFull Professor of Computer Science, Universitat Oberta de Catalunya (UOC)Verified email at uoc.edu
Xavier BaróUniversitat de Barcelona (UB)Verified email at ub.edu
Michał DrożdżalFundamental AI Research at MetaVerified email at fb.com
Fernando VilariñoComputer Vision Center and Universitat Autònoma de BarcelonaVerified email at cvc.uab.es
xavier binefaUniversitat pompeu fabra; universitat autonoma de barcelonaVerified email at upf.edu
Panagiota SpyridonosAssosiate Professor of Medical Physics-Medical InformaticsVerified email at uoi.gr
Àgata LapedrizaUniversitat Oberta de Catalunya, Northeastern UniversityVerified email at uoc.edu
Laura IgualUniversity of BarcelonaVerified email at ub.edu
Bogdan RaducanuComputer Vision CenterVerified email at cvc.uab.es
Xavier Roca MarvaComputer Vision Center, Universitat Autonoma de BarcelonaVerified email at uab.cat
Hagen WenzekChief Innovation Officer, CorporateHealth InternationalVerified email at wenzek.name
Aleix MartinezAmazon, The Ohio State UniversityVerified email at ece.osu.edu
Angel D. SappaESPOL Polytechnic University (Ecuador) and Computer Vision Center (Spain)Verified email at espol.edu.ec
Jose A. Rodriguez-SerranoSenior Lecturer at Esade Business SchoolVerified email at esade.edu
Axel BrandoSenior Researcher at BSC-CNS. Former Industrial Ph.D. at BBVA and UBVerified email at ub.edu
Maria VanrellComputer Vision Center - Universitat Autònoma de BarcelonaVerified email at uab.cat
Jose MenaUniversitat de BarcelonaVerified email at alumnes.ub.edu

Jordi Vitrià

Professor of Computer Science, Universitat de Barcelona

Verified email at ub.edu - Homepage

Deep Learning Machine Learning


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Discriminant ECOC: A heuristic method for application dependent design of error correcting output codes O Pujol, P Radeva, J Vitria IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (6), 1007-1012, 2006	330	2006
Traffic sign recognition using evolutionary adaboost detection and forest-ECOC classification X Baró, S Escalera, J Vitria, O Pujol, P Radeva IEEE Transactions on Intelligent Transportation Systems 10 (1), 113-126, 2009	279	2009
Introducing a weighted non-negative matrix factorization for image classification D Guillamet, J Vitria, B Schiele Pattern Recognition Letters 24 (14), 2447-2454, 2003	249	2003
Non-negative matrix factorization for face recognition D Guillamet, J Vitria Catalonian Conference on Artificial Intelligence, 336-344, 2002	219	2002
Nonparametric discriminant analysis and nearest neighbor classification M Bressan, J Vitria Pattern Recognition Letters 24 (15), 2743-2749, 2003	156	2003
Generic feature learning for wireless capsule endoscopy analysis S Seguí, M Drozdzal, G Pascual, P Radeva, C Malagelada, F Azpiroz, ... Computers in biology and medicine 79, 163-172, 2016	118	2016
Learning to count with deep object features S Seguí, O Pujol, J Vitria Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	109	2015
Analyzing non-negative matrix factorization for image classification D Guillamet, B Schiele, J Vitria 2002 International Conference on Pattern Recognition 2, 116-119, 2002	109	2002
A weighted non-negative matrix factorization for local representations D Guillamet, M Bressan, J Vitria Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001	100	2001
Automatic detection of intestinal juices in wireless capsule video endoscopy F de Iorio, P Radeva, J Vitria, O Pujol, P Spyridonos, F Vilarino 18th International Conference on Pattern Recognition (ICPR'06) 4, 719-722, 2006	86	2006
Classifying faces with nonnegative matrix factorization D Guillamet, J Vitria Proc. 5th Catalan conference for artificial intelligence, 24-31, 2002	78	2002
Intestinal motility assessment with video capsule endoscopy: automatic annotation of phasic intestinal contractions F Vilarino, P Spyridonos, F DeIorio, J Vitria, F Azpiroz, P Radeva IEEE transactions on medical imaging 29 (2), 246-259, 2009	76	2009
On the selection and classification of independent features M Bressan, J Vitria IEEE transactions on pattern analysis and machine intelligence 25 (10), 1312 …, 2003	75	2003
Learning mixture models using a genetic version of the EM algorithm AM Martınez, J Vitria Pattern Recognition Letters 21 (8), 759-769, 2000	75	2000
Gender recognition in non controlled environments A Lapedriza, MJ Marín-Jiménez, J Vitria 18th International Conference on Pattern Recognition (ICPR'06) 3, 834-837, 2006	72	2006
Local color analysis for scene break detection applied to TV commercials recognition JM Sanchez, X Binefa, J Vitrià, P Radeva International Conference on Advances in Visual Information Systems, 237-244, 1999	69	1999
Tracking elongated structures using statistical snakes R Toledo, X Orriols, X Binefa, P Radeva, J Vitria, JJ Villanueva Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR …, 2000	67	2000
Automatic prediction of facial trait judgments: Appearance vs. structural models M Rojas Q, D Masip, A Todorov, J Vitria PloS one 6 (8), e23323, 2011	66	2011
Evaluation of the lithium clerance method: direct analysis of tubular lithium handling by micropuncture WH Boer, R Fransen, DG Shirley, SJ Walter, P Boer, HA Koomans Kidney international 47 (4), 1023-1030, 1995	66	1995
A survey on uncertainty estimation in deep learning classification systems from a bayesian perspective J Mena, O Pujol, J Vitrià ACM Computing Surveys (CSUR) 54 (9), 1-35, 2021	64	2021

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