| An integrated encyclopedia of DNA elements in the human genome ENCODE Project Consortium Nature 489 (7414), 57, 2012 | 17363 | 2012 |
| A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models JA Bilmes International computer science institute 4 (510), 126, 1998 | 4004 | 1998 |
| Deep canonical correlation analysis G Andrew, R Arora, J Bilmes, K Livescu International conference on machine learning, 1247-1255, 2013 | 2414 | 2013 |
| On deep multi-view representation learning W Wang, R Arora, K Livescu, J Bilmes International conference on machine learning, 1083-1092, 2015 | 1192 | 2015 |
| A class of submodular functions for document summarization H Lin, J Bilmes Proceedings of the 49th annual meeting of the association for computational …, 2011 | 969 | 2011 |
| Optimizing matrix multiply using PHiPAC: a portable, high-performance, ANSI C coding methodology J Bilmes, K Asanovic, CW Chin, J Demmel ACM International Conference on Supercomputing 25th Anniversary Volume, 253-260, 1997 | 796 | 1997 |
| Unsupervised pattern discovery in human chromatin structure through genomic segmentation MM Hoffman, OJ Buske, J Wang, Z Weng, JA Bilmes, WS Noble Nature methods 9 (5), 473-476, 2012 | 746 | 2012 |
| Integrative annotation of chromatin elements from ENCODE data MM Hoffman, J Ernst, SP Wilder, A Kundaje, RS Harris, M Libbrecht, ... Nucleic acids research 41 (2), 827-841, 2013 | 624 | 2013 |
| On mixup training: Improved calibration and predictive uncertainty for deep neural networks S Thulasidasan, G Chennupati, JA Bilmes, T Bhattacharya, S Michalak Advances in neural information processing systems 32, 2019 | 604 | 2019 |
| Multi-document summarization via budgeted maximization of submodular functions H Lin, J Bilmes Human Language Technologies: The 2010 Annual Conference of the North …, 2010 | 529 | 2010 |
| Submodularity in data subset selection and active learning K Wei, R Iyer, J Bilmes International conference on machine learning, 1954-1963, 2015 | 482 | 2015 |
| Factored language models and generalized parallel backoff J Bilmes, K Kirchhoff Companion Volume of the Proceedings of HLT-NAACL 2003-Short Papers, 4-6, 2003 | 396 | 2003 |
| Coresets for data-efficient training of machine learning models B Mirzasoleiman, J Bilmes, J Leskovec International Conference on Machine Learning, 6950-6960, 2020 | 384 | 2020 |
| What HMMs can do JA Bilmes IEICE TRANSACTIONS on Information and Systems 89 (3), 869-891, 2006 | 347 | 2006 |
| Submodular optimization with submodular cover and submodular knapsack constraints RK Iyer, JA Bilmes Advances in neural information processing systems 26, 2013 | 319 | 2013 |
| Transmembrane topology and signal peptide prediction using dynamic bayesian networks SM Reynolds, L Käll, ME Riffle, JA Bilmes, WS Noble PLoS computational biology 4 (11), e1000213, 2008 | 304 | 2008 |
| The graphical models toolkit: An open source software system for speech and time-series processing J Bilmes, G Zweig 2002 IEEE International Conference on Acoustics, Speech, and Signal …, 2002 | 273 | 2002 |
| MVA processing of speech features CP Chen, JA Bilmes IEEE Transactions on Audio, Speech, and Language Processing 15 (1), 257-270, 2006 | 271 | 2006 |
| Submodularity beyond submodular energies: coupling edges in graph cuts S Jegelka, J Bilmes CVPR 2011, 1897-1904, 2011 | 246 | 2011 |
| Learning mixtures of submodular functions for image collection summarization S Tschiatschek, RK Iyer, H Wei, JA Bilmes Advances in neural information processing systems 27, 2014 | 241 | 2014 |
William Stafford NobleProfessor of Genome Sciences, University of Washington在 uw.edu 的电子邮件经过验证
