Markus Schedl
Markus Schedl
Associate Professor at Johannes Kepler University Linz, Department of Computational Perception
Verified email at jku.at - Homepage
TitleCited byYear
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
1212014
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
1182006
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
1132007
Polyphonic piano note transcription with recurrent neural networks.
S Böck, M Schedl
ICASSP, 121-124, 2012
1042012
Evaluating the Online Capabilities of Onset Detection Methods.
S Böck, F Krebs, M Schedl
ISMIR, 49-54, 2012
912012
The neglected user in music information retrieval research
M Schedl, A Flexer, J Urbano
Journal of Intelligent Information Systems 41 (3), 523-539, 2013
892013
On Rhythm and General Music Similarity.
T Pohle, D Schnitzer, M Schedl, P Knees, G Widmer
ISMIR, 525-530, 2009
832009
Local and global scaling reduce hubs in space
D Schnitzer, A Flexer, M Schedl, G Widmer
Journal of Machine Learning Research 13 (Oct), 2871-2902, 2012
802012
The MediaEval 2012 affect task: violent scenes detection
CH Demarty, C Penet, G Gravier, M Soleymani
Working Notes Proceedings of the MediaEval 2012 Workshop, 2012
762012
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
762010
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
742013
A survey of music similarity and recommendation from music context data
P Knees, M Schedl
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2013
722013
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
632006
The Million Musical Tweet Dataset: What We Can Learn From Microblogs
D Hauger, M Schedl, A Košir, M Tkalčič
International Society for Music Information Retrieval, 2013
592013
Enhanced beat tracking with context-aware neural networks
S Böck, M Schedl
Proc. Int. Conf. Digital Audio Effects, 135-139, 2011
592011
Multiple Lyrics Alignment: Automatic Retrieval of Song Lyrics.
P Knees, M Schedl, G Widmer
ISMIR, 564-569, 2005
592005
The Quest for Ground Truth in Musical Artist Tagging in the Social Web Era.
G Geleijnse, M Schedl, P Knees
ISMIR, 525-530, 2007
552007
Exploring music collections in virtual landscapes
P Knees, M Schedl, T Pohle, G Widmer
IEEE multimedia 14 (3), 2007
542007
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
522012
A web-based approach to assessing artist similarity using co-occurrences
M Schedl, P Knees, G Widmer
Proceedings of the fourth international workshop on content-based multimedia …, 2005
512005
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