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Markus Schedl
Markus Schedl
Professor at Johannes Kepler University Linz, Institute of Computational Perception
Dirección de correo verificada de jku.at - Página principal
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Año
Music recommender systems
M Schedl, P Knees, B McFee, D Bogdanov, M Kaminskas
Recommender systems handbook, 453-492, 2015
395*2015
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
2632014
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
2312018
Polyphonic piano note transcription with recurrent neural networks
S Böck, M Schedl
2012 IEEE international conference on acoustics, speech and signal …, 2012
1772012
A survey of music similarity and recommendation from music context data
P Knees, M Schedl
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2013
1562013
Evaluating the Online Capabilities of Onset Detection Methods
S Böck, F Krebs, M Schedl
ISMIR, 49-54, 2012
1552012
The LFM-1b Dataset for Music Retrieval and Recommendation
M Schedl
Proceedings of the 2016 ACM on international conference on multimedia …, 2016
1522016
The neglected user in music information retrieval research
M Schedl, A Flexer, J Urbano
Journal of Intelligent Information Systems 41 (3), 523-539, 2013
1512013
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
1382016
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
1342006
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
1302007
Enhanced beat tracking with context-aware neural networks
S Böck, M Schedl
Proc. Int. Conf. Digital Audio Effects, 135-139, 2011
1182011
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
1172013
Predicting personality traits with instagram pictures
B Ferwerda, M Schedl, M Tkalcic
Proceedings of the 3rd Workshop on Emotions and Personality in Personalized …, 2015
1122015
Local and global scaling reduce hubs in space.
D Schnitzer, A Flexer, M Schedl, G Widmer
Journal of Machine Learning Research 13 (10), 2012
1112012
On Rhythm and General Music Similarity.
T Pohle, D Schnitzer, M Schedl, P Knees, G Widmer
ISMIR, 525-530, 2009
1062009
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 (2), 3, 2010
982010
Using instagram picture features to predict users’ personality
B Ferwerda, M Schedl, M Tkalcic
International conference on multimedia modeling, 850-861, 2016
922016
Personality traits predict music taxonomy preferences
B Ferwerda, E Yang, M Schedl, M Tkalcic
Proceedings of the 33rd annual acm conference extended abstracts on human …, 2015
922015
The million musical tweet dataset: what we can learn from microblogs
D Hauger, M Schedl, A Košir, M Tkalčič
Proceedings of the 14th Conference of the International Society for Music …, 2013
912013
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Artículos 1–20