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Peter Knees
Peter Knees
Faculty of Informatics, TU Wien
Zweryfikowany adres z tuwien.ac.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
2132015
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
Artist Classification with Web-Based Data.
P Knees, E Pampalk, G Widmer
ISMIR, 2004
1632004
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
1472006
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
1342007
On Rhythm and General Music Similarity.
T Pohle, D Schnitzer, M Schedl, P Knees, G Widmer
ISMIR, 525-530, 2009
1162009
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
992010
Two data sets for tempo estimation and key detection in electronic dance music annotated from user corrections
P Knees, Á Faraldo Pérez, H Boyer, R Vogl, S Böck, F Hörschläger, ...
Proceedings of the 16th International Society for Music Information …, 2015
972015
Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks.
R Vogl, M Dorfer, G Widmer, P Knees
ISMIR, 150-157, 2017
962017
Music similarity and retrieval: an introduction to audio-and web-based strategies
P Knees, M Schedl
Springer, 2016
922016
Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other.
S Böck, MEP Davies, P Knees
ISMIR, 486-493, 2019
872019
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
842006
Oh Oh Oh Whoah! Towards Automatic Topic Detection In Song Lyrics.
F Kleedorfer, P Knees, T Pohle
Ismir, 287-292, 2008
772008
Content-driven Music Recommendation: Evolution, State of the Art, and Challenges
Y Deldjoo, M Schedl, P Knees
arXiv preprint arXiv:2107.11803, 2021
712021
The Quest for Ground Truth in Musical Artist Tagging in the Social Web Era.
G Geleijnse, M Schedl, P Knees
ISMIR, 525-530, 2007
692007
Multiple Lyrics Alignment: Automatic Retrieval of Song Lyrics.
P Knees, M Schedl, G Widmer
ISMIR, 564-569, 2005
672005
Exploring music collections in virtual landscapes
P Knees, M Schedl, T Pohle, G Widmer
IEEE multimedia 14 (3), 46-54, 2007
652007
New paths in music recommender systems research
M Schedl, P Knees, F Gouyon
Proceedings of the Eleventh ACM Conference on Recommender Systems, 392-393, 2017
632017
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
622005
Music recommendation systems: Techniques, use cases, and challenges
M Schedl, P Knees, B McFee, D Bogdanov
Recommender systems handbook, 927-971, 2021
612021
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