Padhraic Smyth - Publications

Affiliations: 
University of California, Irvine, Irvine, CA 
Area:
Computer Science, Statistics

73 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
2016 Holsclaw T, Greene AM, Robertson AW, Smyth P. A bayesian hidden markov model of daily precipitation over South and East Asia Journal of Hydrometeorology. 17: 3-25. DOI: 10.1175/Jhm-D-14-0142.1  1
2016 Haffke C, Magnusdottir G, Henke D, Smyth P, Peings Y. Daily states of the March-April east Pacific ITCZ in three decades of high-resolution satellite data Journal of Climate. 29: 2981-2995. DOI: 10.1175/Jcli-D-15-0224.1  1
2015 Gaut G, Steyvers M, Imel Z, Atkins D, Smyth P. Content Coding of Psychotherapy Transcripts Using Labeled Topic Models. Ieee Journal of Biomedical and Health Informatics. PMID 26625437 DOI: 10.1109/Jbhi.2015.2503985  0.32
2015 Holsclaw T, Hallgren KA, Steyvers M, Smyth P, Atkins DC. Measurement Error and Outcome Distributions: Methodological Issues in Regression Analyses of Behavioral Coding Data. Psychology of Addictive Behaviors : Journal of the Society of Psychologists in Addictive Behaviors. PMID 26098126 DOI: 10.1037/Adb0000091  1
2014 Salmans ML, Yu Z, Watanabe K, Cam E, Sun P, Smyth P, Dai X, Andersen B. The co-factor of LIM domains (CLIM/LDB/NLI) maintains basal mammary epithelial stem cells and promotes breast tumorigenesis. Plos Genetics. 10: e1004520. PMID 25079073 DOI: 10.1371/Journal.Pgen.1004520  1
2014 Atkins DC, Steyvers M, Imel ZE, Smyth P. Scaling up the evaluation of psychotherapy: evaluating motivational interviewing fidelity via statistical text classification. Implementation Science : Is. 9: 49. PMID 24758152 DOI: 10.1186/1748-5908-9-49  1
2013 DuBois C, Butts CT, McFarland D, Smyth P. Hierarchical models for relational event sequences Journal of Mathematical Psychology. 57: 297-309. DOI: 10.1016/J.Jmp.2013.04.001  1
2012 Geyfman M, Kumar V, Liu Q, Ruiz R, Gordon W, Espitia F, Cam E, Millar SE, Smyth P, Ihler A, Takahashi JS, Andersen B. Brain and muscle Arnt-like protein-1 (BMAL1) controls circadian cell proliferation and susceptibility to UVB-induced DNA damage in the epidermis. Proceedings of the National Academy of Sciences of the United States of America. 109: 11758-63. PMID 22753467 DOI: 10.1073/Pnas.1209592109  1
2012 Gretarsson B, O'Donovan J, Bostandjiev S, Höllerer T, Asuncion A, Newman D, Smyth P. Topicnets: Visual analysis of large text corpora with topic modeling Acm Transactions On Intelligent Systems and Technology. 3. DOI: 10.1145/2089094.2089099  1
2012 Henke D, Smyth P, Haffke C, Magnusdottir G. Automated analysis of the temporal behavior of the double Intertropical Convergence Zone over the east Pacific Remote Sensing of Environment. 123: 418-433. DOI: 10.1016/J.Rse.2012.03.022  1
2012 Rubin TN, Chambers A, Smyth P, Steyvers M. Statistical topic models for multi-label document classification Machine Learning. 88: 157-208. DOI: 10.1007/S10994-011-5272-5  1
2011 Steyvers M, Smyth P, Chemuduganta C. Combining background knowledge and learned topics. Topics in Cognitive Science. 3: 18-47. PMID 25164174 DOI: 10.1111/J.1756-8765.2010.01097.X  1
2011 Bain CL, De Paz J, Kramer J, Magnusdottir G, Smyth P, Stern H, Wang CC. Detecting the ITCZ in instantaneous satellite data using spatiotemporal statistical modeling: ITCZ climatology in the East Pacific Journal of Climate. 24: 216-230. DOI: 10.1175/2010Jcli3716.1  1
2011 Van Leeuwen TT, Frank AJ, Jin Y, Smyth P, Goulden ML, Van Der Werf GR, Randerson JT. Optimal use of land surface temperature data to detect changes in tropical forest cover Journal of Geophysical Research: Biogeosciences. 116. DOI: 10.1029/2010Jg001488  1
2011 Asuncion AU, Smyth P, Welling M. Asynchronous distributed estimation of topic models for document analysis Statistical Methodology. 8: 3-17. DOI: 10.1016/J.Stamet.2010.03.002  1
2011 Greene AM, Robertson AW, Smyth P, Triglia S. Downscaling projections of Indian monsoon rainfall using a non-homogeneous hidden Markov model Quarterly Journal of the Royal Meteorological Society. 137: 347-359. DOI: 10.1002/Qj.788  1
2010 Liu Q, Lin KK, Andersen B, Smyth P, Ihler A. Estimating replicate time shifts using Gaussian process regression. Bioinformatics (Oxford, England). 26: 770-6. PMID 20147305 DOI: 10.1093/Bioinformatics/Btq022  1
2010 Scharenbroich L, Magnusdottir G, Smyth P, Stern H, Wang CC. A Bayesian framework for storm tracking using a hidden-state repres Monthly Weather Review. 138: 2132-2148. DOI: 10.1175/2009Mwr2944.1  1
2010 DuBois C, Smyth P. Modeling relational events via latent classes Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 803-812. DOI: 10.1145/1835804.1835906  1
2010 Smyth P, Elkan C. Technical perspective Creativity helps influence prediction precision Communications of the Acm. 53: 88. DOI: 10.1145/1721654.1721678  1
2010 Rosen-Zvi M, Chemudugunta C, Griffiths T, Smyth P, Steyvers M. Learning author-topic models from text corpora Acm Transactions On Information Systems. 28. DOI: 10.1145/1658377.1658381  1
2010 Bain CL, Magnusdottir G, Smyth P, Stern H. Diurnal cycle of the Intertropical Convergence Zone in the east Pacific Journal of Geophysical Research Atmospheres. 115. DOI: 10.1029/2010Jd014835  1
2010 Hutchins J, Ihler A, Smyth P. Probabilistic analysis of a large-scale urban traffic sensor data set Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5840: 94-114. DOI: 10.1007/978-3-642-12519-5_6  1
2009 Chudova D, Ihler A, Lin KK, Andersen B, Smyth P. Bayesian detection of non-sinusoidal periodic patterns in circadian expression data. Bioinformatics (Oxford, England). 25: 3114-20. PMID 19773336 DOI: 10.1093/Bioinformatics/Btp547  1
2009 Lin KK, Kumar V, Geyfman M, Chudova D, Ihler AT, Smyth P, Paus R, Takahashi JS, Andersen B. Circadian clock genes contribute to the regulation of hair follicle cycling. Plos Genetics. 5: e1000573. PMID 19629164 DOI: 10.1371/Journal.Pgen.1000573  1
2008 Friedman L, Stern H, Brown GG, Mathalon DH, Turner J, Glover GH, Gollub RL, Lauriello J, Lim KO, Cannon T, Greve DN, Bockholt HJ, Belger A, Mueller B, Doty MJ, ... ... Smyth P, et al. Test-retest and between-site reliability in a multicenter fMRI study. Human Brain Mapping. 29: 958-72. PMID 17636563 DOI: 10.1002/Hbm.20440  1
2008 Smyth P, Kirshner S. Comment on article by Rydén Bayesian Analysis. 3: 699-706. DOI: 10.1214/08-Ba326B  1
2008 Chemudugunta C, Smyth P, Steyvers M. Combining concept hierarchies and statistical topic models International Conference On Information and Knowledge Management, Proceedings. 1469-1470. DOI: 10.1145/1458082.1458337  1
2007 Camargo SJ, Robertson AW, Gaffney SJ, Smyth P, Ghil M. Cluster analysis of typhoon tracks. Part II: Large-scale circulation and ENSO Journal of Climate. 20: 3654-3676. DOI: 10.1175/Jcli4203.1  1
2007 Camargo SJ, Robertson AW, Gaffney SJ, Smyth P, Ghil M. Cluster analysis of typhoon tracks. Part I. General properties Journal of Climate. 20: 3635-3653. DOI: 10.1175/Jcli4188.1  1
2007 Ihler A, Hutchins J, Smyth P. Learning to detect events with Markov-modulated poisson processes Acm Transactions On Knowledge Discovery From Data. 1. DOI: 10.1145/1297332.1297337  1
2007 Kirshner S, Smyth P. Infinite mixtures of trees Acm International Conference Proceeding Series. 227: 417-423. DOI: 10.1145/1273496.1273549  1
2007 Hutchins J, Ihler A, Smyth P. Modeling count data from multiple sensors: A building occupancy model 2007 2nd Ieee International Workshop On Computational Advances in Multi-Sensor Adaptive Processing, Campsap. 241-244. DOI: 10.1109/CAMSAP.2007.4498010  1
2007 Ihler AT, Kirshner S, Ghil M, Robertson AW, Smyth P. Graphical models for statistical inference and data assimilation Physica D: Nonlinear Phenomena. 230: 72-87. DOI: 10.1016/J.Physd.2006.08.023  1
2007 Gaffney SJ, Robertson AW, Smyth P, Camargo SJ, Ghil M. Probabilistic clustering of extratropical cyclones using regression mixture models Climate Dynamics. 29: 423-440. DOI: 10.1007/S00382-007-0235-Z  1
2007 Kim S, Smyth P. Hierarchical Dirichlet processes with random effects Advances in Neural Information Processing Systems. 697-704.  1
2006 Turner JA, Smyth P, Macciardi F, Fallon JH, Kennedy JL, Potkin SG. Imaging phenotypes and genotypes in schizophrenia. Neuroinformatics. 4: 21-49. PMID 16595857 DOI: 10.1385/Ni:4:1:21  1
2006 Robertson AW, Kirshner S, Smyth P, Charles SP, Bates BC. Subseasonal-to-interdecadal variability of the Australian monsoon over North Queensland Quarterly Journal of the Royal Meteorological Society. 132: 519-542. DOI: 10.1256/Qj.05.75  1
2006 Kim S, Smyth P. Segmental hidden Markov models with random effects for waveform modeling Journal of Machine Learning Research. 7: 945-969. DOI: 10.1109/JSSC.2006.870744  1
2006 Newman D, Chemudugunta C, Smyth P, Steyvers M. Analyzing entities and topics in news articles using statistical topic models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3975: 93-104. DOI: 10.1007/11760146_9  1
2006 Smyth P. Data-driven discovery using probabilistic hidden variable models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4264: 28.  1
2005 White S, Smyth P. A spectral clustering approach to finding communities in graphs Proceedings of the 2005 Siam International Conference On Data Mining, Sdm 2005. 274-285.  1
2004 Lin KK, Chudova D, Hatfield GW, Smyth P, Andersen B. Identification of hair cycle-associated genes from time-course gene expression profile data by using replicate variance. Proceedings of the National Academy of Sciences of the United States of America. 101: 15955-60. PMID 15520371 DOI: 10.1073/Pnas.0407114101  1
2004 Robertson AW, Kirshner S, Smyth P. Downscaling of daily rainfall occurrence over Northeast Brazil using a hidden Markov model Journal of Climate. 17: 4407-4424. DOI: 10.1175/Jcli-3216.1  1
2003 Chudova D, Gaffney S, Mjolsness E, Smyth P. Translation-invariant mixture models for curve clustering Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 79-88. DOI: 10.1145/956750.956763  1
2003 Cadez I, Heckerman D, Meek C, Smyth P, White S. Model-Based Clustering and Visualization of Navigation Patterns on a Web Site Data Mining and Knowledge Discovery. 7: 399-424. DOI: 10.1023/A:1024992613384  1
2003 Chudova D, Smyth P. Analysis of Pattern Discovery in Sequences Using a Bayes Error Framework Data Mining and Knowledge Discovery. 7: 273-299. DOI: 10.1023/A:1024032204965  1
2002 Cadez IV, Smyth P, McLachlan GJ, McLaren CE. Maximum likelihood estimation of mixture densities for binned and truncated multivariate data Machine Learning. 47: 7-34. DOI: 10.1023/A:1013679611503  1
2002 Chudova D, Smyth P. Pattern discovery in sequences under a Markov assumption Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 153-162.  1
2002 Smyth P. Learning with mixture models: Concepts and applications Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2430: 529.  1
2001 Ge X, Eppstein D, Smyth P. The distribution of loop lengths in graphical models for turbo decoding Ieee Transactions On Information Theory. 47: 2549-2553. DOI: 10.1109/18.945266  1
2001 Pavlov D, Smyth P. Probabilistic query models for transaction data Proceedings of the Seventh Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 164-173.  1
2001 Cadez IV, Smyth P. Model complexity, goodness of fit and diminishing returns Advances in Neural Information Processing Systems 1
2000 Smyth P. Data mining: Data analysis on a grand scale? Statistical Methods in Medical Research. 9: 309-327. PMID 11084711 DOI: 10.1177/096228020000900402  1
2000 Smyth P. Model selection for probabilistic clustering using cross-validated likelihood Statistics and Computing. 10: 63-72. DOI: 10.1023/A:1008940618127  1
2000 Ge X, Smyth P. Deformable Markov model templates for time-series pattern matching Proceeding of the Sixth Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 81-90.  1
2000 Cadez IV, Smyth P. On model selection and concavity for finite mixture models Ieee International Symposium On Information Theory - Proceedings. 323.  1
1998 Smyth P, Wolpert D. Stacked density estimation Advances in Neural Information Processing Systems. 668-674.  1
1997 Smyth P, Heckerman D, Jordan MI. Probabilistic independence networks for hidden Markov probability models. Neural Computation. 9: 227-69. PMID 9117903 DOI: 10.1162/Neco.1997.9.2.227  1
1997 Glymour C, Madigan D, Pregibon D, Smyth P. Statistical themes and lessons for data mining Data Mining and Knowledge Discovery. 1: 11-28. DOI: 10.1023/A:1009773905005  1
1997 Smyth P. Belief networks, hidden Markov models, and Markov random fields: A unifying view Pattern Recognition Letters. 18: 1261-1268. DOI: 10.1016/S0167-8655(97)01050-7  1
1997 Shankle WR, Mani S, Pazzani MJ, Smyth P. Detecting very early stages of dementia from normal aging with machine learning methods Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1211: 73-85. DOI: 10.1007/BFb0029438  1
1997 Smyth P. Clustering sequences with hidden Markov models Advances in Neural Information Processing Systems. 648-654.  1
1996 Glymour C, Madigan D, Pregibon D, Smyth P. Statistical Inference and Data Mining Communications of the Acm. 39: 35-41. DOI: 10.1145/240455.240466  1
1996 Smyth P. Bounds on the mean classification error rate of multiple experts Pattern Recognition Letters. 17: 1253-1257. DOI: 10.1016/0167-8655(96)00105-5  1
1994 Zeng Z, Goodman RM, Smyth P. Discrete recurrent neural networks for grammatical inference. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 5: 320-30. PMID 18267800 DOI: 10.1109/72.279194  1
1994 Smyth P. Markov Monitoring with Unknown States Ieee Journal On Selected Areas in Communications. 12: 1600-1612. DOI: 10.1109/49.339929  1
1994 Smyth P. Hidden Markov models for fault detection in dynamic systems Pattern Recognition. 27: 149-164. DOI: 10.1016/0031-3203(94)90024-8  1
1993 Zeng Z, Goodman RM, Smyth P. Self-clustering recurrent networks Ieee International Conference On Neural Networks - Conference Proceedings. 1993: 33-38. DOI: 10.1109/ICNN.1993.298535  1
1992 Smyth P, Goodman RM. An Information Theoretic Approach To Rule Induction From Databases Ieee Transactions On Knowledge and Data Engineering. 4: 301-316. DOI: 10.1109/69.149926  1
1992 Smyth P. Admissible stochastic complexity models for classification problems Statistics and Computing. 2: 97-104. DOI: 10.1007/Bf01889588  1
1990 Goodman RM, Smyth P. Decision tree design using information theory Knowledge Acquisition. 2: 1-19. DOI: 10.1016/S1042-8143(05)80020-2  1
1988 Goodman RM, Smyth P. Decision Tree Design from a Communication Theory Standpoint Ieee Transactions On Information Theory. 34: 979-994. DOI: 10.1109/18.21221  1
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