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Jeff A. Bilmes - Publications

Affiliations: 
1999 University of California, Berkeley, Berkeley, CA, United States 
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32 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  0.332
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  0.331
2018 Bai W, Bilmes J, Noble WS. Submodular generalized matching for peptide identification in tandem mass spectrometry. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 29993658 DOI: 10.1109/Tcbb.2018.2822280  0.318
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  0.331
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  0.324
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  0.343
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  0.419
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  0.349
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  0.567
2013 Hoffman MM, Ernst J, Wilder SP, Kundaje A, Harris RS, Libbrecht M, Giardine B, Ellenbogen PM, Bilmes JA, Birney E, Hardison RC, Dunham I, Kellis M, Noble WS. Integrative annotation of chromatin elements from ENCODE data. Nucleic Acids Research. 41: 827-41. PMID 23221638 DOI: 10.1093/Nar/Gks1284  0.301
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  0.357
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  0.333
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  0.3
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  0.334
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  0.312
2010 Chen X, Hoffman MM, Bilmes JA, Hesselberth JR, Noble WS. A dynamic Bayesian network for identifying protein-binding footprints from single molecule-based sequencing data. Bioinformatics (Oxford, England). 26: i334-42. PMID 20529925 DOI: 10.1093/Bioinformatics/Btq175  0.312
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  0.338
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  0.366
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  0.311
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  0.36
2006 Bilmes JA. What HMMs can do Ieice Transactions On Information and Systems. 869-891. DOI: 10.1093/Ietisy/E89-D.3.869  0.39
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  0.389
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  0.361
2005 Bilmes JA, Bartels C. Graphical model architectures for speech recognition Ieee Signal Processing Magazine. 22: 89-100. DOI: 10.1109/Msp.2005.1511827  0.399
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  0.333
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  0.413
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  0.403
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  0.406
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  0.325
2002 Bilmes JA. Graphical models and automatic speech recognition Journal of the Acoustical Society of America. 112: 2278-2279. DOI: 10.1121/1.4779134  0.411
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  0.328
1992 Morgan N, Beck J, Kohn P, Bilmes J, Allman E, Beer J. The ring array processor: A multiprocessing peripheral for connectionist applications Journal of Parallel and Distributed Computing. 14: 248-259. DOI: 10.1016/0743-7315(92)90067-W  0.496
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