Gerhard Widmer

Cited by

	All	Since 2020
Citations	19727	6672
h-index	68	39
i10-index	294	161

1500

750

375

1125

19961997199819992000200120022003200420052006200720082009201020112012201320142015201620172018201920202021202220232024202550 60 83 58 74 129 125 206 315 412 522 581 675 720 712 749 686 764 745 755 958 945 1209 1217 1127 1434 1245 1382 1397 85

Public access

View all

150 articles

1 article

available

not available

Based on funding mandates

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 PampalkMicrosoftVerified email at microsoft.com
Andreas ArztAppleVerified email at apple.com
Sebastian BöckNXAIVerified email at nx-ai.com
Simon DixonCentre for Digital Music, Queen Mary University of LondonVerified email at qmul.ac.uk
Maarten GrachtenIndependent Machine Learning ConsultantVerified email at grachten.eu
Werner GoeblProfessor, Head of Department of Music Acoustics, mdw – University of Music and Performing ArtsVerified email at mdw.ac.at
Arthur FlexerJohannes Kepler University LinzVerified email at jku.at
Filip KorzeniowskiMoises.AIVerified email at superfuzz.me
Florian KrebsJoanneum Research GrazVerified email at joanneum.at
Jan SchlüterJohannes Kepler University Linz (JKU)Verified email at jku.at
Dominik SchnitzerAustrian Research Institute for Artificial Intelligence (OFAI)Verified email at ofai.at
Carlos Eduardo Cancino-ChacónJohannes Kepler University LinzVerified email at jku.at
Fabien GouyonPandoraVerified email at pandora.com
Andreu VallPumas-AI, Inc.Verified email at pumas.ai
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
Stefan LattnerSony CSL Paris (Music Team)Verified email at stefanlattner.at
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University MainzVerified email at informatik.uni-mainz.de

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, 69-101, 1996	2604	1996
Incremental reduced error pruning J Fürnkranz, G Widmer Machine learning proceedings 1994, 70-77, 1994	604	1994
Improvements of Audio-Based Music Similarity and Genre Classificaton. E Pampalk, A Flexer, G Widmer ISMIR 5, 634-637, 2005	354	2005
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	348	2016
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	327	2004
Efficient training of audio transformers with patchout K Koutini, J Schlüter, H Eghbal-Zadeh, G Widmer arXiv preprint arXiv:2110.05069, 2021	285	2021
Effective learning in dynamic environments by explicit context tracking G Widmer, M Kubat Machine Learning: ECML-93: European Conference on Machine Learning Vienna …, 1993	266	1993
MATCH: A Music Alignment Tool Chest. S Dixon, G Widmer ISMIR, 492-497, 2005	245	2005
Dynamic Playlist Generation Based on Skipping Behavior. E Pampalk, T Pohle, G Widmer ISMIR 5, 634-637, 2005	231	2005
Exploring music collections by browsing different views E Pampalk, S Dixon, G Widmer Computer Music Journal 28 (2), 49-62, 2004	215	2004
Towards Characterisation of Music via Rhythmic Patterns. S Dixon, F Gouyon, G Widmer ISMIR, 2004	208	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	208	2004
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	207	2016
Prediction of ordinal classes using regression trees S Kramer, G Widmer, B Pfahringer, M De Groeve Fundamenta Informaticae 47 (1), 1-13, 2001	202	2001
Maximum filter vibrato suppression for onset detection S Böck, G Widmer Proc. of the 16th Int. Conf. on Digital Audio Effects (DAFx). Maynooth …, 2013	201	2013
Joint Beat and Downbeat Tracking with Recurrent Neural Networks. S Böck, F Krebs, G Widmer ISMIR, 255-261, 2016	199	2016
Tracking context changes through meta-learning G Widmer Machine learning 27, 259-286, 1997	193	1997
Machine discoveries: A few simple, robust local expression principles G Widmer Journal of New Music Research 31 (1), 37-50, 2002	190	2002
Deep linear discriminant analysis M Dorfer, R Kelz, G Widmer arXiv preprint arXiv:1511.04707, 2015	182	2015
On the potential of simple framewise approaches to piano transcription R Kelz, M Dorfer, F Korzeniowski, S Böck, A Arzt, G Widmer arXiv preprint arXiv:1612.05153, 2016	173	2016

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

Follow

Cited by

Co-authors