Markus Schedl

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Peter KneesFaculty of Informatics, TU WienPatvirtintas el. paštas tuwien.ac.at
Gerhard WidmerProfessor of Computer Science, Johannes Kepler University LinzPatvirtintas el. paštas jku.at
Marko TkalcicUniversity of PrimorskaPatvirtintas el. paštas famnit.upr.si
Bruce FerwerdaAssociate Professor, Jönköping UniversityPatvirtintas el. paštas ju.se
Elisabeth LexProf. at Graz University of TechnologyPatvirtintas el. paštas tugraz.at
Yashar DeldjooTenure-Track Assistant Professor (RtD-b) of Computer Science, Polytechnic University of Bari, ItalyPatvirtintas el. paštas acm.org
Navid RekabsazThomson Reuters AI LabsPatvirtintas el. paštas thomsonreuters.com
Bogdan IonescuPolitehnica University of BucharestPatvirtintas el. paštas upb.ro
Oleg LesotaPhD Student, Johannes Kepler University Linz AustriaPatvirtintas el. paštas jku.at
Dominik KowaldResearch Area Manager, FAIR-AI, Know-Center, Graz University of TechnologyPatvirtintas el. paštas tugraz.at
Emilia Parada-CabaleiroNuremberg University of MusicPatvirtintas el. paštas hfm-nuernberg.de
Andreu VallPumas-AI, Inc.Patvirtintas el. paštas pumas.ai
Emilia GómezJoint Research Centre, European Commission and Music Technology Group, Universitat Pompeu FabraPatvirtintas el. paštas upf.edu
Christine BauerParis Lodron University SalzburgPatvirtintas el. paštas plus.ac.at
Alessandro B. MelchiorrePostDoc at the Johannes Kepler University Linz, AustriaPatvirtintas el. paštas jku.at
Paolo CremonesiDept. Computer Engineering, Politecnico di MilanoPatvirtintas el. paštas polimi.it
Dominik SchnitzerAustrian Research Institute for Artificial Intelligence (OFAI)Patvirtintas el. paštas ofai.at
Julián UrbanoTU DelftPatvirtintas el. paštas tudelft.nl
Stefan BrandlJohannes Kepler University, Institute for Computational PerceptionPatvirtintas el. paštas jku.at
Eva ZangerleUniversität InnsbruckPatvirtintas el. paštas uibk.ac.at

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Markus Schedl

Professor at Johannes Kepler University Linz, Institute of Computational Perception

Patvirtintas el. paštas jku.at - Pagrindinis puslapis

Recommender Systems Information Retrieval Multimedia Human-centered AI Trustworthy AI


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Music recommender systems M Schedl, P Knees, B McFee, D Bogdanov, M Kaminskas Recommender systems handbook, 453-492, 2015	479*	2015
Current challenges and visions in music recommender systems research M Schedl, H Zamani, CW Chen, Y Deldjoo, M Elahi International Journal of Multimedia Information Retrieval 7, 95-116, 2018	436	2018
Music information retrieval: Recent developments and applications M Schedl, E Gómez, J Urbano Foundations and Trends® in Information Retrieval 8 (2-3), 127-261, 2014	401	2014
The LFM-1b Dataset for Music Retrieval and Recommendation M Schedl Proceedings of the 2016 ACM on international conference on multimedia …, 2016	264	2016
Recommender systems leveraging multimedia content Y Deldjoo, M Schedl, P Cremonesi, G Pasi ACM Computing Surveys (CSUR) 53 (5), 1-38, 2020	245	2020
A survey of music similarity and recommendation from music context data P Knees, M Schedl ACM Transactions on Multimedia Computing, Communications, and Applications …, 2013	208	2013
Polyphonic piano note transcription with recurrent neural networks S Böck, M Schedl 2012 IEEE international conference on acoustics, speech and signal …, 2012	206	2012
Fusing social media cues: personality prediction from twitter and instagram M Skowron, M Tkalčič, B Ferwerda, M Schedl Proceedings of the 25th international conference companion on world wide web …, 2016	194	2016
Evaluating the Online Capabilities of Onset Detection Methods S Böck, F Krebs, M Schedl ISMIR, 49-54, 2012	189	2012
The neglected user in music information retrieval research M Schedl, A Flexer, J Urbano Journal of Intelligent Information Systems 41 (3), 523-539, 2013	179	2013
The unfairness of popularity bias in music recommendation: A reproducibility study D Kowald, M Schedl, E Lex Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020	174	2020
Enhanced beat tracking with context-aware neural networks S Böck, M Schedl Proc. Int. Conf. Digital Audio Effects, 135-139, 2011	158	2011
Investigating gender fairness of recommendation algorithms in the music domain AB Melchiorre, N Rekabsaz, E Parada-Cabaleiro, S Brandl, O Lesota, ... Information Processing & Management 58 (5), 102666, 2021	145	2021
An innovative three-dimensional user interface for exploring music collections enriched P Knees, M Schedl, T Pohle, G Widmer Proceedings of the 14th ACM international conference on Multimedia, 17-24, 2006	145	2006
Location-aware music recommendation using auto-tagging and hybrid matching M Kaminskas, F Ricci, M Schedl Proceedings of the 7th ACM Conference on Recommender Systems, 17-24, 2013	134	2013
A music search engine built upon audio-based and web-based similarity measures P Knees, T Pohle, M Schedl, G Widmer Proceedings of the 30th annual international ACM SIGIR conference on …, 2007	134	2007
Predicting personality traits with instagram pictures B Ferwerda, M Schedl, M Tkalcic Proceedings of the 3rd Workshop on Emotions and Personality in Personalized …, 2015	132	2015
Recsys challenge 2018: Automatic music playlist continuation CW Chen, P Lamere, M Schedl, H Zamani Proceedings of the 12th ACM Conference on Recommender Systems, 527-528, 2018	131	2018
Deep learning in music recommendation systems M Schedl Frontiers in Applied Mathematics and Statistics 5, 457883, 2019	129	2019
Local and global scaling reduce hubs in space. D Schnitzer, A Flexer, M Schedl, G Widmer Journal of Machine Learning Research 13 (10), 2012	126	2012

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