| Song-Level Features and Support Vector Machines for Music Classification. MI Mandel, D Ellis ISMIR 2005, 594-599, 2005 | 457 | 2005 |
| Learning algorithms for the classification restricted Boltzmann machine H Larochelle, M Mandel, R Pascanu, Y Bengio The Journal of Machine Learning Research 13 (1), 643-669, 2012 | 423 | 2012 |
| Improved MVDR beamforming using single-channel mask prediction networks. H Erdogan, JR Hershey, S Watanabe, MI Mandel, J Le Roux Interspeech, 1981-1985, 2016 | 390 | 2016 |
| Model-based expectation-maximization source separation and localization MI Mandel, RJ Weiss, DPW Ellis IEEE Transactions on Audio, Speech, and Language Processing 18 (2), 382-394, 2009 | 383 | 2009 |
| CHiME-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings S Watanabe, M Mandel, J Barker, E Vincent, A Arora, X Chang, ... arXiv preprint arXiv:2004.09249, 2020 | 373 | 2020 |
| Nonparametric belief propagation EB Sudderth, AT Ihler, M Isard, WT Freeman, AS Willsky Communications of the ACM 53 (10), 95-103, 2010 | 341 | 2010 |
| Visual hand tracking using nonparametric belief propagation EB Sudderth, MI Mandel, WT Freeman, AS Willsky 2004 Conference on Computer Vision and Pattern Recognition Workshop, 189-189, 2004 | 262 | 2004 |
| Evaluation of algorithms using games: The case of music tagging. E Law, K West, MI Mandel, M Bay, JS Downie ISMIR, 387-392, 2009 | 246 | 2009 |
| Deep beamforming networks for multi-channel speech recognition X Xiao, S Watanabe, H Erdogan, L Lu, J Hershey, ML Seltzer, G Chen, ... 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 234 | 2016 |
| A web-based game for collecting music metadata MI Mandel, DPW Ellis Journal of New Music Research 37 (2), 151-165, 2008 | 233 | 2008 |
| Support vector machine active learning for music retrieval MI Mandel, GE Poliner, DPW Ellis Multimedia systems 12 (1), 3-13, 2006 | 188 | 2006 |
| An EM algorithm for localizing multiple sound sources in reverberant environments M Mandel, D Ellis, T Jebara Advances in neural information processing systems 19, 2006 | 149 | 2006 |
| Multiple-Instance Learning for Music Information Retrieval. MI Mandel, DPW Ellis ISMIR, 577-582, 2008 | 144 | 2008 |
| Active learning for interactive multimedia retrieval TS Huang, CK Dagli, S Rajaram, EY Chang, MI Mandel, GE Poliner, ... Proceedings of the IEEE 96 (4), 648-667, 2008 | 141 | 2008 |
| 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 | 105 | 2011 |
| Mert Bay, and J Stephen Downie. Evaluation of algorithms using games: The case of music tagging E Law, K West, MI Mandel International Society for Music Information Retrieval Conference (ISMIR), 2009 | 101 | 2009 |
| Audio music mood classification using support vector machine C Laurier, P Herrera, M Mandel, D Ellis MIREX task on Audio Mood Classification, 2-4, 2007 | 88 | 2007 |
| Confused or not confused? Disentangling brain activity from EEG data using bidirectional LSTM recurrent neural networks Z Ni, AC Yuksel, X Ni, MI Mandel, L Xie Proceedings of the 8th acm international conference on bioinformatics …, 2017 | 85 | 2017 |
| Gestural query specification A Nandi, L Jiang, M Mandel Proceedings of the VLDB Endowment 7 (4), 289-300, 2013 | 72 | 2013 |
| Learning tags that vary within a song MI Mandel, D Eck, Y Bengio ISMIR, Utrecht, Netherlands, 2010 | 52 | 2010 |
Daniel P W EllisResearch Scientist, Google在 google.com 的電子郵件地址已通過驗證
