Gerhard Widmer

Navedeno

	Vse	Od leta 2019
Navedbe	19471	7628
indeks h	67	43
indeks i10	290	170

1500

750

375

1125

1996199719981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202120222023202450 60 83 58 74 129 125 205 315 411 521 581 675 723 711 746 681 765 741 758 958 947 1214 1208 1126 1433 1241 1371 1241

Javni dostop

Prikaži vse

150 člankov

1 članek

na voljo

ni na voljo

Na podlagi zahtev v povezavi s financiranjem

Soavtorji

Markus SchedlProfessor at Johannes Kepler University Linz, Institute of Computational PerceptionPreverjeni e-poštni naslov na jku.at
Peter KneesFaculty of Informatics, TU WienPreverjeni e-poštni naslov na tuwien.ac.at
Elias PampalkMicrosoftPreverjeni e-poštni naslov na microsoft.com
Andreas ArztApplePreverjeni e-poštni naslov na apple.com
Maarten GrachtenIndependent Machine Learning ConsultantPreverjeni e-poštni naslov na grachten.eu
Simon DixonCentre for Digital Music, Queen Mary University of LondonPreverjeni e-poštni naslov na qmul.ac.uk
Sebastian BöckNXAIPreverjeni e-poštni naslov na nx-ai.com
Werner GoeblProfessor, Head of Department of Music Acoustics, mdw – University of Music and Performing ArtsPreverjeni e-poštni naslov na mdw.ac.at
Arthur FlexerJohannes Kepler University LinzPreverjeni e-poštni naslov na jku.at
Filip KorzeniowskiMoises.AIPreverjeni e-poštni naslov na superfuzz.me
Florian KrebsJoanneum Research GrazPreverjeni e-poštni naslov na joanneum.at
Jan SchlüterJohannes Kepler University Linz (JKU)Preverjeni e-poštni naslov na jku.at
Dominik SchnitzerAustrian Research Institute for Artificial Intelligence (OFAI)Preverjeni e-poštni naslov na ofai.at
Carlos Eduardo Cancino-ChacónJohannes Kepler University LinzPreverjeni e-poštni naslov na jku.at
Fabien GouyonPandoraPreverjeni e-poštni naslov na pandora.com
Andreu VallPumas-AI, Inc.Preverjeni e-poštni naslov na pumas.ai
Richard VoglFaculty of Informatics, TU WienPreverjeni e-poštni naslov na tuwien.ac.at
Harald FrostelDepartment for Computational Perception, Johannes Kepler University, Linz, AustriaPreverjeni e-poštni naslov na jku.at
Xavier SerraDepartment of Information and Communication Technologies, Universitat Pompeu Fabra (UPF), BarcelonaPreverjeni e-poštni naslov na upf.edu
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University MainzPreverjeni e-poštni naslov na informatik.uni-mainz.de

Spremljaj

Gerhard Widmer

Professor of Computer Science, Johannes Kepler University Linz

Preverjeni e-poštni naslov na jku.at - Domača stran

Artificial Intelligence Machine Learning Sound and Music Computing Music Information Retrieval Computational Musicology


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Learning in the presence of concept drift and hidden contexts G Widmer, M Kubat Machine learning 23, 69-101, 1996	2574	1996
Incremental reduced error pruning J Fürnkranz, G Widmer Machine learning proceedings 1994, 70-77, 1994	597	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	339	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	325	2004
Effective learning in dynamic environments by explicit context tracking G Widmer, M Kubat Machine Learning: ECML-93: European Conference on Machine Learning Vienna …, 1993	267	1993
Efficient training of audio transformers with patchout K Koutini, J Schlüter, H Eghbal-Zadeh, G Widmer arXiv preprint arXiv:2110.05069, 2021	262	2021
MATCH: A Music Alignment Tool Chest. S Dixon, G Widmer ISMIR, 492-497, 2005	243	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	214	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	206	2016
Prediction of ordinal classes using regression trees S Kramer, G Widmer, B Pfahringer, M De Groeve Fundamenta Informaticae 47 (1), 1-13, 2001	198	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	197	2013
Tracking context changes through meta-learning G Widmer Machine learning 27, 259-286, 1997	193	1997
Joint Beat and Downbeat Tracking with Recurrent Neural Networks. S Böck, F Krebs, G Widmer ISMIR, 255-261, 2016	192	2016
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	176	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	170	2016

Sistem trenutno ne more izvesti postopka. Poskusite znova pozneje.

Članki 1–20

Št. navedb na leto

Podvojene navedbe

Združene navedbe

Dodajanje soavtorjevSoavtorji

Spremljaj

Navedeno

Soavtorji