Jeffrey A. Bilmes - Publications

Affiliations: 
Computer Science and Engineering University of Washington, Seattle, Seattle, WA 
Area:
Computer Science, Artificial Intelligence

55 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Schreiber J, Bilmes J, Noble WS. Completing the ENCODE3 compendium yields accurate imputations across a variety of assays and human biosamples. Genome Biology. 21: 82. PMID 32228713 DOI: 10.1186/S13059-020-01978-5  0.336
2020 Schreiber J, Durham T, Bilmes J, Noble WS. Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome. Genome Biology. 21: 81. PMID 32228704 DOI: 10.1186/S13059-020-01977-6  0.334
2018 Durham TJ, Libbrecht MW, Howbert JJ, Bilmes J, Noble WS. PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition. Nature Communications. 9: 1402. PMID 29643364 DOI: 10.1038/S41467-018-03635-9  0.304
2018 Libbrecht MW, Bilmes JA, Noble WS. Choosing non-redundant representative subsets of protein sequence data sets using submodular optimization. Proteins. PMID 29345009 DOI: 10.1002/Prot.25461  0.307
2017 Chan RCW, Libbrecht MW, Roberts EG, Bilmes JA, Noble WS, Hoffman MM. Segway 2.0: Gaussian mixture models and minibatch training. Bioinformatics (Oxford, England). PMID 29028889 DOI: 10.1093/Bioinformatics/Btx603  0.34
2017 Liu Y, Iyer R, Kirchhoff K, Bilmes J. SVitchboard-II and FiSVer-I: Crafting high quality and low complexity conversational english speech corpora using submodular function optimization Computer Speech & Language. 42: 122-142. DOI: 10.1016/J.Csl.2016.10.002  0.438
2016 Halloran JT, Bilmes JA, Noble WS. A dynamic Bayesian network for accurate detection of peptides from tandem mass spectra. Journal of Proteome Research. PMID 27397138 DOI: 10.1021/Acs.Jproteome.6B00290  0.34
2016 Livescu K, Rudzicz F, Fosler-Lussier E, Hasegawa-Johnson M, Bilmes J. Speech Production in Speech Technologies: Introduction to the CSL Special Issue Computer Speech and Language. 36: 165-172. DOI: 10.1016/J.Csl.2015.11.002  0.363
2016 Jegelka S, Bilmes JA. Graph cuts with interacting edge weights: examples, approximations, and algorithms Mathematical Programming. 1-42. DOI: 10.1007/S10107-016-1038-Y  0.33
2012 Stupakov A, Hanusa E, Vijaywargi D, Fox D, Bilmes J. The design and collection of COSINE, a multi-microphone in situ speech corpus recorded in noisy environments Computer Speech and Language. 26: 52-66. DOI: 10.1016/J.Csl.2010.12.003  0.361
2011 Aydin Z, Singh A, Bilmes J, Noble WS. Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure. Bmc Bioinformatics. 12: 154. PMID 21569525 DOI: 10.1186/1471-2105-12-154  0.335
2011 Bilmes J, Subramanya A. Parallel graph-based semi-supervised learning Scaling Up Machine Learning: Parallel and Distributed Approaches. 307-330. DOI: 10.1017/CBO9781139042918.016  0.607
2011 Malkin J, Li X, Harada S, Landay J, Bilmes J. The Vocal Joystick engine v1.0 Computer Speech and Language. 25: 535-555. DOI: 10.1016/J.Csl.2010.03.005  0.57
2011 Bartels CD, Bilmes JA. Creating non-minimal triangulations for use in inference in mixed stochastic/deterministic graphical models Machine Learning. 84: 249-289. DOI: 10.1007/S10994-010-5233-4  0.754
2010 Reynolds SM, Bilmes JA, Noble WS. Learning a weighted sequence model of the nucleosome core and linker yields more accurate predictions in Saccharomyces cerevisiae and Homo sapiens. Plos Computational Biology. 6: e1000834. PMID 20628623 DOI: 10.1371/Journal.Pcbi.1000834  0.305
2010 Bilmes J. Dynamic graphical models Ieee Signal Processing Magazine. 27: 29-42. DOI: 10.1109/Msp.2010.938078  0.342
2010 Ji G, Bilmes J. Jointly recognizing multi-speaker conversations Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 5110-5113. DOI: 10.1109/ICASSP.2010.5495041  0.325
2010 Bartels CD, Bilmes JA. Graphical models for integrating syllabic information Computer Speech and Language. 24: 685-697. DOI: 10.1016/J.Csl.2009.11.001  0.752
2009 Harada S, Wobbrock JO, Malkin J, Bilmes JA, Landay JA. Longitudinal study of people learning to use continuous voice-based cursor control Conference On Human Factors in Computing Systems - Proceedings. 347-356. DOI: 10.1145/1518701.1518757  0.507
2009 House B, Malkin J, Bilmes J. The voicebot: A voice controlled robot arm Conference On Human Factors in Computing Systems - Proceedings. 183-192. DOI: 10.1145/1518701.1518731  0.495
2009 Ma N, Bartels CD, Bilmes JA, Green PD. Modelling the prepausal lengthening effect for speech recognition: A dynamic Bayesian network approach Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4617-4620. DOI: 10.1109/ICASSP.2009.4960659  0.77
2009 Malkin J, Bilmes J. Multi-layer ratio semi-definite classifiers Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4465-4468. DOI: 10.1109/ICASSP.2009.4960621  0.546
2009 Pernkopf F, Van Pham T, Bilmes JA. Broad phonetic classification using discriminative Bayesian networks Speech Communication. 51: 151-166. DOI: 10.1016/J.Specom.2008.07.003  0.369
2009 Guillory A, Bilmes J. Average-case active learning with costs Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5809: 141-155. DOI: 10.1007/978-3-642-04414-4_15  0.622
2008 Reynolds SM, Käll L, Riffle ME, Bilmes JA, Noble WS. Transmembrane topology and signal peptide prediction using dynamic bayesian networks. Plos Computational Biology. 4: e1000213. PMID 18989393 DOI: 10.1371/Journal.Pcbi.1000213  0.31
2008 Harada S, Landay JA, Malkin J, Li X, Bilmes JA. The Vocal Joystick: evaluation of voice-based cursor control techniques for assistive technology. Disability and Rehabilitation. Assistive Technology. 3: 22-34. PMID 18416516 DOI: 10.1080/17483100701352963  0.574
2008 Malkin J, Bilmes J. Ratio semi-definite classifiers Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4113-4116. DOI: 10.1109/ICASSP.2008.4518559  0.582
2008 Lin H, Bilmes J. Polyphase speech recognition Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4109-4112. DOI: 10.1109/ICASSP.2008.4518558  0.342
2008 Raj A, Subramanya A, Fox D, Bilmes J. Rao-blackwellized particle filters for recognizing activities and spatial context from wearable sensors Springer Tracts in Advanced Robotics. 39: 211-221. DOI: 10.1007/978-3-540-77457-0_20  0.534
2008 Bartels CD, Bilmes JA. Using syllable nuclei locations to improve automatic speech recognition in the presence of burst noise Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2406-2409.  0.757
2007 Everitt KM, Harada S, Bilmes J, Landay JA. Disambiguating speech commands using physical context Proceedings of the 9th International Conference On Multimodal Interfaces, Icmi'07. 247-254. DOI: 10.1145/1322192.1322235  0.302
2007 House B, Malkin J, Bilmes J. Demo of VJ-voicebot: Control of robotic arm with the vocal joystick Assets'07: Proceedings of the Ninth International Acm Sigaccess Conference On Computers and Accessibility. 247-248. DOI: 10.1145/1296843.1296895  0.496
2007 Chen CP, Bilmes JA. MVA processing of speech features Ieee Transactions On Audio, Speech and Language Processing. 15: 257-270. DOI: 10.1109/Tasl.2006.876717  0.306
2007 Subramanya A, Raj A, Bilmes J, Fox D. Hierarchical models for activity recognition 2006 Ieee 8th Workshop On Multimedia Signal Processing, Mmsp 2006. 233-237. DOI: 10.1109/MMSP.2006.285304  0.617
2007 Bartels CD, Bilmes JA. Use of syllable nuclei locations to improve ASR 2007 Ieee Workshop On Automatic Speech Recognition and Understanding, Asru 2007, Proceedings. 335-340.  0.762
2006 Li X, Malkin J, Bilmes JA. A high-speed, low-resource ASR back-end based on custom arithmetic Ieee Transactions On Audio, Speech and Language Processing. 14: 1683-1693. DOI: 10.1109/Tsa.2005.858556  0.604
2006 Ji G, Bilmes J, Michels J, Kirchhoff K, Manning C. Graphical model representations of word lattices 2006 Ieee Acl Spoken Language Technology Workshop, Slt 2006, Proceedings. 162-165. DOI: 10.1109/SLT.2006.326842  0.36
2006 Bilmes JA. What HMMs can do Ieice Transactions On Information and Systems. 869-891. DOI: 10.1093/Ietisy/E89-D.3.869  0.432
2006 Filali K, Li X, Bilmes J. Algorithms for data-driven ASR parameter quantization Computer Speech and Language. 20: 625-643. DOI: 10.1016/J.Csl.2005.10.003  0.415
2006 Kirchhoff K, Vergyri D, Bilmes J, Duh K, Stolcke A. Morphology-based language modeling for conversational Arabic speech recognition Computer Speech and Language. 20: 589-608. DOI: 10.1016/J.Csl.2005.10.001  0.409
2006 Bartels CD, Bilmes JA. Non-minimal triangulations for mixed stochastic/deterministic graphical models Proceedings of the 22nd Conference On Uncertainty in Artificial Intelligence, Uai 2006. 15-22.  0.753
2006 Kilanski K, Malkin J, Xiao L, Wright R, Bilmes JA. The vocal joystick data collection effort and vowel corpus Interspeech 2006 and 9th International Conference On Spoken Language Processing, Interspeech 2006 - Icslp. 3: 1073-1076.  0.551
2005 Bilmes JA, Bartels C. Graphical model architectures for speech recognition Ieee Signal Processing Magazine. 22: 89-100. DOI: 10.1109/Msp.2005.1511827  0.763
2005 Li X, Bilmes J. Feature pruning for low-power ASR systems in clean and noisy environments Ieee Signal Processing Letters. 12: 489-492. DOI: 10.1109/Lsp.2005.847858  0.339
2005 Malkin J, Li X, Bilmes J. A graphical model for formant tracking Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. DOI: 10.1109/ICASSP.2005.1415263  0.609
2005 Ji G, Bilmes J. Dialog act tagging using graphical models Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. DOI: 10.1109/ICASSP.2005.1415043  0.305
2005 Reynolds SM, Bilmes JA. Part-of-speech tagging using virtual evidence and negative training Hlt/Emnlp 2005 - Human Language Technology Conference and Conference On Empirical Methods in Natural Language Processing, Proceedings of the Conference. 459-466.  0.329
2005 Bilmes JA, Li X, Malkin J, Kilanski K, Wright R, Kirchhoff K, Subramanya A, Harada S, Landay JA, Dowden P, Chizeck H. The vocal joystick: A voice-based human-computer interface for individuals with motor impairments Hlt/Emnlp 2005 - Human Language Technology Conference and Conference On Empirical Methods in Natural Language Processing, Proceedings of the Conference. 995-1002.  0.621
2003 Russell MJ, Bilmes JA. Introduction to the special issue on new computational paradigms for acoustic modeling in speech recognition Computer Speech and Language. 17: 107-112. DOI: 10.1016/S0885-2308(03)00013-5  0.446
2003 Bilmes JA. Buried Markov models: A graphical-modeling approach to automatic speech recognition Computer Speech and Language. 17: 213-231. DOI: 10.1016/S0885-2308(03)00010-X  0.468
2003 Richardson M, Bilmes J, Diorio C. Hidden-articulator Markov models for speech recognition Speech Communication. 41: 511-529. DOI: 10.1016/S0167-6393(03)00031-1  0.465
2003 Bilmes JA, Kirchhoff K. Generalized rules for combination and joint training of classifiers Pattern Analysis and Applications. 6: 201-211. DOI: 10.1007/S10044-002-0188-0  0.315
2002 Bilmes JA. Graphical models and automatic speech recognition Journal of the Acoustical Society of America. 112: 2278-2279. DOI: 10.1121/1.4779134  0.489
1997 Iyer V, Bilmes J, Wright M, Wessel D. Representing groove: Rhythmic structure in interactive music performance The Journal of the Acoustical Society of America. 102: 3182-3182. DOI: 10.1121/1.420845  0.32
1996 Bilmes J, Morgan N, Wu SL, Bourland H. Stochastic perceptual speech models with durational dependence International Conference On Spoken Language Processing, Icslp, Proceedings. 3: 1301-1304.  0.301
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