Advancements in the Music Information Retrieval Framework AMUSE over the Last Decade
Author:
Affiliation:
1. TU Dortmund University, Dortmund, Germany
Funder
This work was partly funded by the German Research Foundation (DFG)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3404835.3463252
Reference26 articles.
1. Linked Data and You: Bringing Music Research Software into the Semantic Web
2. Keras. https://keras.io;Chollet F.;Accessed on,2021
3. E. Frank M. A. Hall G. Holmes R. Kirkby and B. Pfahringer. 2005. WEKA - A Machine Learning Workbench for Data Mining. In The Data Mining and Knowledge Discovery Handbook Oded Maimon and Lior Rokach (Eds.). Springer 1305--1314. E. Frank M. A. Hall G. Holmes R. Kirkby and B. Pfahringer. 2005. WEKA - A Machine Learning Workbench for Data Mining. In The Data Mining and Knowledge Discovery Handbook Oded Maimon and Lior Rokach (Eds.). Springer 1305--1314.
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