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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