Gerhard Widmer

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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
Hamid Eghbal-zadehJohannes Kepler UniversityVerified email at jku.at
Simon DixonCentre for Digital Music, Queen Mary University of LondonVerified email at qmul.ac.uk
Andreas ArztAppleVerified email at apple.com
Sebastian BöckenliteAIVerified email at enlite.ai
Werner GoeblDepartment of Music Acoustics, University of Music and Performing Arts ViennaVerified email at mdw.ac.at
Maarten GrachtenIndependent Machine Learning ConsultantVerified email at grachten.eu
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
Harald FrostelDepartment for Computational Perception, Johannes Kepler University, Linz, AustriaVerified email at jku.at
Richard VoglFaculty of Informatics, TU WienVerified email at tuwien.ac.at
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University MainzVerified email at informatik.uni-mainz.de
Carlos Eduardo Cancino-ChacónJohannes Kepler University LinzVerified email at jku.at
Johannes FürnkranzJohannes Kepler University, LinzVerified email at faw.jku.at

Gerhard Widmer

Professor of Computer Science, Johannes Kepler University Linz

Verified email at jku.at - Homepage

Artificial Intelligence Machine Learning Sound and Music Computing Music Information Retrieval 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	2140	1996
Incremental reduced error pruning J Fürnkranz, G Widmer Machine Learning Proceedings 1994, 70-77, 1994	522	1994
Improvements of Audio-Based Music Similarity and Genre Classificaton. E Pampalk, A Flexer, G Widmer ISMIR 5, 634-637, 2005	336	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	283	2004
Effective learning in dynamic environments by explicit context tracking G Widmer, M Kubat European Conference on Machine Learning, 227-243, 1993	243	1993
MATCH: A Music Alignment Tool Chest. S Dixon, G Widmer ISMIR, 492-497, 2005	216	2005
Dynamic Playlist Generation Based on Skipping Behavior. E Pampalk, T Pohle, G Widmer ISMIR 5, 634-637, 2005	211	2005
Exploring music collections by browsing different views E Pampalk, S Dixon, G Widmer Computer Music Journal 28 (2), 49-62, 2004	203	2004
Towards Characterisation of Music via Rhythmic Patterns. S Dixon, F Gouyon, G Widmer ISMIR, 2004	191	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	191	2004
Madmom: A new python audio and music signal processing library S Böck, F Korzeniowski, J Schlüter, F Krebs, G Widmer Proceedings of the 24th ACM international conference on Multimedia, 1174-1178, 2016	188	2016
Machine discoveries: A few simple, robust local expression principles G Widmer Journal of New Music Research 31 (1), 37-50, 2002	184	2002
Tracking context changes through meta-learning G Widmer Machine learning 27 (3), 259-286, 1997	183	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	181	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	168	2001
Prediction of ordinal classes using regression trees S Kramer, G Widmer, B Pfahringer, M De Groeve Fundamenta Informaticae 47 (1), 1-13, 2001	168	2001
In search of the Horowitz factor G Widmer, S Dixon, W Goebl, E Pampalk, A Tobudic AI Magazine 24 (3), 111-111, 2003	158	2003
Classification of dance music by periodicity patterns S Dixon, E Pampalk, G Widmer Johns Hopkins University, 2003	155	2003
Artist Classification with Web-Based Data. P Knees, E Pampalk, G Widmer ISMIR, 2004	152	2004
Playlist Generation using Start and End Songs. A Flexer, D Schnitzer, M Gasser, G Widmer ISMIR 8, 173-178, 2008	150	2008

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