Gerhard Widmer - Google Scholar Citations

Cited by

	All	Since 2015
Citations	14173	5679
h-index	55	34
i10-index	215	127

1300

650

325

975

199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202058 51 78 60 79 137 137 213 339 416 553 626 701 741 811 829 794 819 822 863 965 1033 1226 1124 453

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
Simon DixonCentre for Digital Music, Queen Mary University of LondonVerified email at qmul.ac.uk
Andreas ArztJohannes Kepler UniversityVerified email at jku.at
Werner GoeblDepartment of Music Acoustics, University of Music and Performing Arts ViennaVerified email at mdw.ac.at
Sebastian BöckAustrian Research Institute for Artificial Intelligence (OFAI)Verified email at ofai.at
Maarten GrachtenAustrian Research Institute for Artificial IntelligenceVerified email at ofai.at
Hamid Eghbal-zadehInstitute of Computational Perception & LIT AI Lab, Johannes Kepler UniversityVerified email at jku.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
Johannes FürnkranzJohannes Kepler University, LinzVerified email at faw.jku.at
Richard VoglFaculty of Informatics, TU WienVerified email at tuwien.ac.at
Harald FrostelDepartment for Computational Perception, Johannes Kepler University, Linz, AustriaVerified email at jku.at
Bernhard PfahringerProfessor of Computer Science, University of WaikatoVerified email at waikato.ac.nz

Gerhard Widmer

Professor of Computer Science, Johannes Kepler University Linz

Verified email at jku.at - Homepage

Artificial Intelligence Machine Learning Machine Listening Music Information Retrieval Music Performance Research


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	1861	1996
Induction of model trees for predicting continuous classes Y Wang, IH Witten	1278	1996
Incremental reduced error pruning J Fürnkranz, G Widmer Machine Learning Proceedings 1994, 70-77, 1994	480	1994
Improvements of Audio-Based Music Similarity and Genre Classificaton. E Pampalk, A Flexer, G Widmer ISMIR 5, 634-637, 2005	310	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	269	2004
Effective learning in dynamic environments by explicit context tracking G Widmer, M Kubat European Conference on Machine Learning, 227-243, 1993	209	1993
MATCH: A Music Alignment Tool Chest. S Dixon, G Widmer ISMIR, 492-497, 2005	205	2005
Exploring music collections by browsing different views E Pampalk, S Dixon, G Widmer Computer Music Journal 28 (2), 49-62, 2004	194	2004
Dynamic Playlist Generation Based on Skipping Behavior. E Pampalk, T Pohle, G Widmer ISMIR 5, 634-637, 2005	188	2005
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	173	1997
Towards Characterisation of Music via Rhythmic Patterns. S Dixon, F Gouyon, G Widmer ISMIR, 2004	172	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	170	2004
Prediction of ordinal classes using regression trees S Kramer, G Widmer, B Pfahringer, M De Groeve Fundamenta Informaticae 47 (1-2), 1-13, 2001	158	2001
Prediction of ordinal classes using regression trees S Kramer, G Widmer, B Pfahringer, M De Groeve Fundamenta Informaticae 47 (1), 1-13, 2001	158	2001
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	151	2016
In search of the Horowitz factor G Widmer, S Dixon, W Goebl, E Pampalk, A Tobudic AI Magazine 24 (3), 111-111, 2003	150	2003
Classification of dance music by periodicity patterns S Dixon, E Pampalk, G Widmer Johns Hopkins University, 2003	142	2003
Artist Classification with Web-Based Data. P Knees, E Pampalk, G Widmer ISMIR, 2004	136	2004
Playlist Generation using Start and End Songs. A Flexer, D Schnitzer, M Gasser, G Widmer ISMIR 8, 173-178, 2008	129	2008

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors