![]() | Up a level |
Tran, S. N., Cherla, S., Garcez, A. and Weyde, T. (2017). The Recurrent Temporal Discriminative Restricted Boltzmann Machines. CoRR,
Cherla, S., Tran, S.N., Weyde, T. and Garcez, A. (2016). Generalising the Discriminative Restricted Boltzmann Machine.
Cherla, S., Weyde, T., Garcez, A. and Pearce, M. (2013). A Distributed Model For Multiple-Viewpoint Melodic Prediction. In: de Souza Britto Jr, A., Gouyon, F. and Dixon, S. (Eds.), Proceedings of the 14th International Society for Music Information Retrieval Conference. (pp. 15-20). International Society for Music Information Retrieval. ISBN 978-0-615-90065-0
Wolff, D., Tidhar, D., Benetos, E., Dumon, E., Cherla, S. and Weyde, T. (2014). Incremental dataset definition for large scale musicological research. In: Page, K. and Fields, B. (Eds.), DLfM '14 Proceedings of the 1st International Workshop on Digital Libraries for Musicology. (pp. 1-8). New York: ACM. ISBN 978-1-4503-3002-2
Sigtia, S., Benetos, E., Cherla, S., Weyde, T., Garcez, A. and Dixon, S. (2014). An RNN-based Music Language Model for Improving Automatic Music Transcription. Paper presented at the 15th International Society for Music Information Retrieval Conference (ISMIR), 27-10-2014 - 31-10-2014, Taipei, Taiwan.
Cherla, S., Weyde, T., Garcez, A. and Pearce, M. (2013). Learning Distributed Representations for Multiple-Viewpoint Melodic Prediction. Paper presented at the 14th International Society for Music Information Retrieval Conference, 4 - 8 Nov 2013, Curtiba, PR, Brazil.
Benetos, E., Cherla, S. and Weyde, T. (2013). An efficient shift-invariant model for polyphonic music transcription. Paper presented at the MML 2013: 6th International Workshop on Machine Learning and Music, 23 Sep 2013, Prague, Czech Republic.