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Markus Schedl
Markus Schedl
Professor at Johannes Kepler University Linz, Institute of Computational Perception
Zweryfikowany adres z jku.at - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Music recommender systems
M Schedl, P Knees, B McFee, D Bogdanov, M Kaminskas
Recommender systems handbook, 453-492, 2015
484*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
4472018
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
4162014
The LFM-1b Dataset for Music Retrieval and Recommendation
M Schedl
Proceedings of the 2016 ACM on international conference on multimedia …, 2016
2722016
Recommender systems leveraging multimedia content
Y Deldjoo, M Schedl, P Cremonesi, G Pasi
ACM Computing Surveys (CSUR) 53 (5), 1-38, 2020
2692020
A survey of music similarity and recommendation from music context data
P Knees, M Schedl
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2013
2132013
Polyphonic piano note transcription with recurrent neural networks
S Böck, M Schedl
2012 IEEE international conference on acoustics, speech and signal …, 2012
2072012
Evaluating the Online Capabilities of Onset Detection Methods
S Böck, F Krebs, M Schedl
ISMIR, 49-54, 2012
1962012
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
1932016
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
1862020
The neglected user in music information retrieval research
M Schedl, A Flexer, J Urbano
Journal of Intelligent Information Systems 41 (3), 523-539, 2013
1862013
Enhanced beat tracking with context-aware neural networks
S Böck, M Schedl
Proc. Int. Conf. Digital Audio Effects, 135-139, 2011
1642011
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
1552021
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
1482006
Deep learning in music recommendation systems
M Schedl
Frontiers in Applied Mathematics and Statistics 5, 44, 2019
1422019
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
1392013
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
1352007
Predicting personality traits with instagram pictures
B Ferwerda, M Schedl, M Tkalcic
Proceedings of the 3rd Workshop on Emotions and Personality in Personalized …, 2015
1342015
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
1332018
Local and global scaling reduce hubs in space
D Schnitzer, A Flexer, M Schedl, G Widmer
The Journal of Machine Learning Research 13 (1), 2871-2902, 2012
1292012
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