Gerhard Widmer

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	All	Since 2015
Citations	15137	6578
h-index	57	37
i10-index	236	145

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Co-authors

Markus SchedlProfessor at Johannes Kepler University Linz, Institute of Computational PerceptionVerified email at jku.at
Peter KneesFaculty of Informatics, TU WienVerified email at tuwien.ac.at
Elias PampalkNuance CommunicationsVerified email at nuance.com
Andreas ArztJohannes Kepler UniversityVerified email at jku.at
Simon DixonCentre for Digital Music, Queen Mary University of LondonVerified email at qmul.ac.uk
Werner GoeblDepartment of Music Acoustics, University of Music and Performing Arts ViennaVerified email at mdw.ac.at
Sebastian BöckenliteAIVerified email at enlite.ai
Hamid Eghbal-zadehInstitute of Computational Perception & LIT AI Lab, Johannes Kepler UniversityVerified email at jku.at
Maarten GrachtenIndependent Machine Learning ConsultantVerified email at ofai.at
Arthur FlexerJohannes Kepler University LinzVerified email at jku.at
Filip KorzeniowskiPandora MediaVerified email at pandora.com
Dominik SchnitzerAustrian Research Institute for Artificial Intelligence (OFAI)Verified email at ofai.at
Fabien GouyonPandoraVerified email at pandora.com
Jan SchlüterJohannes Kepler University Linz (JKU)Verified email at jku.at
Andreu VallJohannes Kepler UniversityVerified email at jku.at
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University MainzVerified email at informatik.uni-mainz.de
Harald FrostelDepartment for Computational Perception, Johannes Kepler University, Linz, AustriaVerified email at jku.at
Johannes FürnkranzJohannes Kepler University, LinzVerified email at faw.jku.at
Richard VoglFaculty of Informatics, TU WienVerified email at tuwien.ac.at
Carlos Eduardo Cancino-ChacónAustrian Research Institute for Artificial IntelligenceVerified email at ofai.at

Gerhard Widmer

Professor of Computer Science, Johannes Kepler University Linz

Verified email at jku.at - Homepage

Artificial Intelligence Machine Learning Machine Listening Sound and Music Computing Computational Musicology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning in the presence of concept drift and hidden contexts G Widmer, M Kubat Machine learning 23 (1), 69-101, 1996	1928	1996
Induction of model trees for predicting continuous classes Y Wang, IH Witten	1335	1996
Incremental reduced error pruning J Fürnkranz, G Widmer Machine Learning Proceedings 1994, 70-77, 1994	492	1994
Improvements of Audio-Based Music Similarity and Genre Classificaton. E Pampalk, A Flexer, G Widmer ISMIR 5, 634-637, 2005	317	2005
Computational models of expressive music performance: The state of the art G Widmer, W Goebl Journal of New Music Research 33 (3), 203-216, 2004	277	2004
Effective learning in dynamic environments by explicit context tracking G Widmer, M Kubat European Conference on Machine Learning, 227-243, 1993	217	1993
MATCH: A Music Alignment Tool Chest. S Dixon, G Widmer ISMIR, 492-497, 2005	210	2005
Dynamic Playlist Generation Based on Skipping Behavior. E Pampalk, T Pohle, G Widmer ISMIR 5, 634-637, 2005	197	2005
Exploring music collections by browsing different views E Pampalk, S Dixon, G Widmer Computer Music Journal 28 (2), 49-62, 2004	197	2004
Towards Characterisation of Music via Rhythmic Patterns. S Dixon, F Gouyon, G Widmer ISMIR, 2004	181	2004
Evaluating rhythmic descriptors for musical genre classification F Gouyon, S Dixon, E Pampalk, G Widmer Proceedings of the AES 25th International Conference, 196-204, 2004	181	2004
Machine discoveries: A few simple, robust local expression principles G Widmer Journal of New Music Research 31 (1), 37-50, 2002	176	2002
Tracking context changes through meta-learning G Widmer Machine learning 27 (3), 259-286, 1997	175	1997
CP-JKU submissions for DCASE-2016: A hybrid approach using binaural i-vectors and deep convolutional neural networks H Eghbal-Zadeh, B Lehner, M Dorfer, G Widmer IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and …, 2016	164	2016
Prediction of ordinal classes using regression trees S Kramer, G Widmer, B Pfahringer, M De Groeve Fundamenta Informaticae 47 (1-2), 1-13, 2001	162	2001
Prediction of ordinal classes using regression trees S Kramer, G Widmer, B Pfahringer, M De Groeve Fundamenta Informaticae 47 (1), 1-13, 2001	162	2001
In search of the Horowitz factor G Widmer, S Dixon, W Goebl, E Pampalk, A Tobudic AI Magazine 24 (3), 111-111, 2003	152	2003
Classification of dance music by periodicity patterns S Dixon, E Pampalk, G Widmer Johns Hopkins University, 2003	144	2003
Artist Classification with Web-Based Data. P Knees, E Pampalk, G Widmer ISMIR, 2004	138	2004
Playlist Generation using Start and End Songs. A Flexer, D Schnitzer, M Gasser, G Widmer ISMIR 8, 173-178, 2008	137	2008

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