| Aggregate features and AdaBoost for music classification J Bergstra, N Casagrande, D Erhan, D Eck, B Kégl Machine learning 65 (2-3), 473-484, 2006 | 337 | 2006 |
| A neural representation of sketch drawings D Ha, D Eck ICLR 2018, 2018 | 335 | 2018 |
| Learning features from music audio with deep belief networks. P Hamel, D Eck ISMIR 10, 339-344, 2010 | 326 | 2010 |
| Applying LSTM to time series predictable through time-window approaches FA Gers, D Eck, J Schmidhuber Neural Nets WIRN Vietri-01, 193-200, 2002 | 304 | 2002 |
| Automatic generation of social tags for music recommendation D Eck, P Lamere, T Bertin-Mahieux, S Green NIPS: Advances in Neural Information Processing Systems, 385-392, 2008 | 282 | 2008 |
| Neural audio synthesis of musical notes with wavenet autoencoders J Engel, C Resnick, A Roberts, S Dieleman, D Eck, K Simonyan, ... ICML 2017, 2017 | 248 | 2017 |
| Finding temporal structure in music: Blues improvisation with LSTM recurrent networks D Eck, J Schmidhuber Proceedings of the 12th IEEE workshop on neural networks for signal …, 2002 | 236 | 2002 |
| A first look at music composition using lstm recurrent neural networks D Eck, J Schmidhuber Istituto Dalle Molle Di Studi Sull Intelligenza Artificiale 103, 48, 2002 | 235 | 2002 |
| Autotagger: A model for predicting social tags from acoustic features on large music databases T Bertin-Mahieux, D Eck, F Maillet, P Lamere Journal of New Music Research 37 (2), 115-135, 2008 | 153 | 2008 |
| A hierarchical latent vector model for learning long-term structure in music A Roberts, J Engel, C Raffel, C Hawthorne, D Eck arXiv preprint arXiv:1803.05428, 2018 | 150 | 2018 |
| Online and linear-time attention by enforcing monotonic alignments C Raffel, T Luong, PJ Liu, RJ Weiss, D Eck ICML 2017, 2017 | 131 | 2017 |
| Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio. P Hamel, S Lemieux, Y Bengio, D Eck ISMIR, 729-734, 2011 | 124 | 2011 |
| Generating a playlist GA Heitz III, A Berenzweig, JE Weston, RJ Weiss, SA Goldman, T Walters, ... US Patent 10,055,493, 2018 | 118 | 2018 |
| Onsets and frames: Dual-objective piano transcription C Hawthorne, E Elsen, J Song, A Roberts, I Simon, C Raffel, J Engel, ... arXiv preprint arXiv:1710.11153, 2017 | 103 | 2017 |
| Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets JA Pérez-Ortiz, FA Gers, D Eck, J Schmidhuber Neural Networks 16 (2), 241-250, 2003 | 93 | 2003 |
| Automatic tagging of audio: The state-of-the-art T Bertin-Mahieux, D Eck, M Mandel Machine audition: Principles, algorithms and systems, 334-352, 2011 | 92 | 2011 |
| Steerable Playlist Generation by Learning Song Similarity from Radio Station Playlists. F Maillet, D Eck, G Desjardins, P Lamere ISMIR, 345-350, 2009 | 79 | 2009 |
| A supervised classification algorithm for note onset detection A Lacoste, D Eck EURASIP Journal on Advances in Signal Processing 2007, 1-13, 2006 | 79 | 2006 |
| Learning the long-term structure of the blues D Eck, J Schmidhuber International Conference on Artificial Neural Networks, 284-289, 2002 | 78 | 2002 |
| A probabilistic model for chord progressions JF Paiement, D Eck, S Bengio Proceedings of the Sixth International Conference on Music Information …, 2005 | 75 | 2005 |
Juergen SchmidhuberThe Swiss AI Lab IDSIA / USI & SUPSIVerified email at idsia.ch
