Ikuti
Peter Knees
Peter Knees
Faculty of Informatics, TU Wien
Email yang diverifikasi di tuwien.ac.at - Beranda
Judul
Dikutip oleh
Dikutip oleh
Tahun
Music recommender systems
M Schedl, P Knees, B McFee, D Bogdanov, M Kaminskas
Recommender systems handbook, 453-492, 2015
2152015
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
1612004
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
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
On Rhythm and General Music Similarity.
T Pohle, D Schnitzer, M Schedl, P Knees, G Widmer
ISMIR, 525-530, 2009
1182009
Music similarity and retrieval: an introduction to audio-and web-based strategies
P Knees, M Schedl
Springer, 2016
1062016
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
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
972017
Two Data Sets for Tempo Estimation and Key Detection in Electronic Dance Music Annotated from User Corrections.
P Knees, A Faraldo, P Herrera, R Vogl, S Böck, F Hörschläger, M Le Goff
ISMIR, 364-370, 2015
972015
Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other.
S Böck, MEP Davies, P Knees
ISMIR, 486-493, 2019
892019
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 14, 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
702021
The Quest for Ground Truth in Musical Artist Tagging in the Social Web Era.
G Geleijnse, M Schedl, P Knees
ISMIR, 525-530, 2007
702007
Multiple Lyrics Alignment: Automatic Retrieval of Song Lyrics.
P Knees, M Schedl, G Widmer
ISMIR, 564-569, 2005
682005
Music recommendation systems: Techniques, use cases, and challenges
M Schedl, P Knees, B McFee, D Bogdanov
Recommender systems handbook, 927-971, 2021
652021
Exploring music collections in virtual landscapes
P Knees, M Schedl, T Pohle, G Widmer
IEEE multimedia 14 (3), 46-54, 2007
642007
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
Automatic music tag classification based on block-level
K Seyerlehner, G Widmer, M Schedl, P Knees
Proceedings of Sound and Music Computing 2010, 2010
632010
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