Markus Schedl

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	All	Since 2016
Citations	5980	3722
h-index	40	30
i10-index	141	98

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Co-authors

Peter KneesFaculty of Informatics, TU WienVerified email at tuwien.ac.at
Gerhard WidmerProfessor of Computer Science, Johannes Kepler University LinzVerified email at jku.at
Marko TkalcicUniversity of PrimorskaVerified email at famnit.upr.si
Bruce FerwerdaAssistant Professor, Jönköping UniversityVerified email at ju.se
Bogdan IonescuPolitehnica University of BucharestVerified email at upb.ro
Yashar DeldjooAssistant Professor of Computer Science, Polytechnic University of Bari, ItalyVerified email at acm.org
Andreu VallJohannes Kepler UniversityVerified email at jku.at
Dominik SchnitzerAustrian Research Institute for Artificial Intelligence (OFAI)Verified email at ofai.at
Julián UrbanoTU DelftVerified email at tudelft.nl
Emilia GómezJoint Research Centre, European Commission and Music Technology Group, Universitat Pompeu FabraVerified email at upf.edu
Hamid Eghbal-zadehInstitute of Computational Perception & LIT AI Lab, Johannes Kepler UniversityVerified email at jku.at
Paolo CremonesiDept. Computer Engineering, Politecnico di MilanoVerified email at polimi.it
Sebastian BöckenliteAIVerified email at enlite.ai
Cynthia C. S. LiemAssistant Professor, Multimedia Computing Group, Delft University of TechnologyVerified email at tudelft.nl
Christine BauerUtrecht UniversityVerified email at uu.nl
Arthur FlexerJohannes Kepler University LinzVerified email at jku.at
Mats SjöbergMachine learning specialist at CSCVerified email at csc.fi
Marcin SkowronResearch Scientist | Austrian Research Institute for AI | Johannes Kepler UniversityVerified email at ofai.at
Ionut MironicaAdobe ResearchVerified email at adobe.com
Hamed ZamaniAssistant Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu

Markus Schedl

Professor at Johannes Kepler University Linz, Institute of Computational Perception

Verified email at jku.at - Homepage

Recommendation Systems User Modeling Multimedia Information Retrieval Machine Learning


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Music recommender systems M Schedl, P Knees, B McFee, D Bogdanov, M Kaminskas Recommender systems handbook, 453-492, 2015	262*	2015
Music information retrieval: Recent developments and applications M Schedl, E Gómez Gutiérrez, J Urbano Foundations and Trends in Information Retrieval. 2014 Sept 12; 8 (2-3): 127-261., 2014	203	2014
Polyphonic piano note transcription with recurrent neural networks S Böck, M Schedl 2012 IEEE international conference on acoustics, speech and signal …, 2012	153	2012
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 (2), 95-116, 2018	138	2018
Evaluating the Online Capabilities of Onset Detection Methods. S Böck, F Krebs, M Schedl ISMIR, 49-54, 2012	138	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	132	2013
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	132	2006
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	126	2007
A survey of music similarity and recommendation from music context data P Knees, M Schedl ACM Transactions on Multimedia Computing, Communications, and Applications …, 2013	120	2013
The lfm-1b dataset for music retrieval and recommendation M Schedl Proceedings of the 2016 ACM on International Conference on Multimedia …, 2016	102	2016
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	97	2016
Local and global scaling reduce hubs in space. D Schnitzer, A Flexer, M Schedl, G Widmer Journal of Machine Learning Research 13 (10), 2012	97	2012
On Rhythm and General Music Similarity. T Pohle, D Schnitzer, M Schedl, P Knees, G Widmer ISMIR, 525-530, 2009	97	2009
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	93	2013
Enhanced beat tracking with context-aware neural networks S Böck, M Schedl Proc. Int. Conf. Digital Audio Effects, 135-139, 2011	92	2011
Using block-level features for genre classification, tag classification and music similarity estimation K Seyerlehner, M Schedl, T Pohle, P Knees Submission to Audio Music Similarity and Retrieval Task of MIREX 2010, 2010	91	2010
Predicting personality traits with instagram pictures B Ferwerda, M Schedl, M Tkalcic Proceedings of the 3rd Workshop on Emotions and Personality in Personalized …, 2015	86	2015
The million musical tweets dataset: What can we learn from microblogs D Hauger, M Schedl, A Košir, M Tkalcic Proc. ISMIR, 189-194, 2013	82	2013
Combining audio-based similarity with web-based data to accelerate automatic music playlist generation P Knees, T Pohle, M Schedl, G Widmer Proceedings of the 8th ACM international workshop on Multimedia information …, 2006	74	2006
Online real-time onset detection with recurrent neural networks S Böck, A Arzt, F Krebs, M Schedl Proceedings of the 15th International Conference on Digital Audio Effects …, 2012	73	2012

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