Padhraic Smyth

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	总计	2020 年至今
引用	69751	14704
h 指数	92	52
i10 指数	236	144

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Mark SteyversUniversity of California, Irvine在 uci.edu 的电子邮件经过验证
David HandImperial College London在 imperial.ac.uk 的电子邮件经过验证
Alexander IhlerUniversity of California, Irvine在 ics.uci.edu 的电子邮件经过验证
Andrew W. Robertson, PhDResearch Scientist at International Research Institute for Climate and Society (IRI), The Earth Institute, Columbia University在 iri.columbia.edu 的电子邮件经过验证
Max WellingCAIO CuspAI & Professor Machine Learning, University of Amsterdam在 uva.nl 的电子邮件经过验证
Chaitanya ChemuduguntaDirector of Science, Pandora在 ics.uci.edu 的电子邮件经过验证
Pietro PeronaCalifornia Institute of Technology在 caltech.edu 的电子邮件经过验证
Michael C. BurlPrincipal Member of Technical Staff, Jet Propulsion Laboratory在 jpl.nasa.gov 的电子邮件经过验证
Eric NalisnickAssistant Professor, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
Michael GhilDistinguished Research Professor, UCLA, and Distinguished Professor Emeritus, ENS在 atmos.ucla.edu 的电子邮件经过验证
Darya ChudovaVP of Technology, Guardant Health在 guardanthealth.com 的电子邮件经过验证
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton University在 princeton.edu 的电子邮件经过验证
Hal SternProfessor of Statistics, University of California, Irvine在 uci.edu 的电子邮件经过验证
Efi Foufoula-GeorgiouDistinguished Professor of Civil and Environmental Engineering, University of California Irvine在 uci.edu 的电子邮件经过验证
Pierre BaldiProfessor, University of California, Irvine在 ics.uci.edu 的电子邮件经过验证
Christopher DuBoisApple在 apple.com 的电子邮件经过验证
Suzana J. CamargoProfessor of Climate, Columbia Climate School, Columbia University在 ldeo.columbia.edu 的电子邮件经过验证
David HeckermanMicrosoft Research在 microsoft.com 的电子邮件经过验证
Seyoung KimAssociate Professor, Department of Epidemiology, University of Pittsburgh在 pitt.edu 的电子邮件经过验证
Michael J. PazzaniDistinguished Principal Scientist在 isi.edu 的电子邮件经过验证

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Padhraic Smyth

Distinguished Professor, Computer Science, University of California Irvine

在 ics.uci.edu 的电子邮件经过验证 - 首页

machine learning artificial intelligence pattern recognition statistics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
From data mining to knowledge discovery: An overview. UM Fayyad, G Piatetsky-Shapiro, P Smyth Advances in Knowledge Discovery and Data Mining, 1-34, 1996	20583*	1996
Principles of Data Mining DJ Hand, H Mannila, P Smyth MIT Press, 2001	9544*	2001
The KDD process for extracting useful knowledge from volumes of data U Fayyad, G Piatetsky-Shapiro, P Smyth Communications of the ACM 39 (11), 27-34, 1996	3693	1996
The author-topic model for authors and documents M Rosen-Zvi, T Griffiths, M Steyvers, P Smyth Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence …, 2004	2212*	2004
Knowledge discovery and data mining: towards a unifying framework. UM Fayyad, G Piatetsky-Shapiro, P Smyth ACM Conference on Knowledge Discovery and Data Mining (KDD) 96, 82-88, 1996	2020	1996
Rule discovery from time series G Das, KI Lin, H Mannila, G Renganathan, P Smyth KDD 98 (1), 16-22, 1998	1050	1998
Probabilistic author-topic models for information discovery M Steyvers, P Smyth, M Rosen-Zvi, T Griffiths Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	885	2004
A spectral clustering approach to finding communities in graphs S White, P Smyth Proceedings of the 2005 SIAM international conference on data mining, 274-285, 2005	866	2005
On smoothing and inference for topic models A Asuncion, M Welling, P Smyth, YW Teh Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial …, 2009	828	2009
Fast collapsed Gibbs sampling for latent Dirichlet allocation I Porteous, D Newman, A Ihler, A Asuncion, P Smyth, M Welling Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	828	2008
Clustering sequences with hidden Markov models P Smyth Advances in neural information processing systems 9, 1996	709	1996
Trajectory clustering with mixtures of regression models S Gaffney, P Smyth Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999	693	1999
Algorithms for estimating relative importance in networks S White, P Smyth Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	599	2003
Distributed algorithms for topic models. D Newman, A Asuncion, P Smyth, M Welling Journal of Machine Learning Research 10 (8), 2009	593	2009
From data mining to knowledge discovery: an overview, Advances in knowledge discovery and data mining UM Fayyad, G Piatetsky-Shapiro, P Smyth NOMBRE, VOL, NÚM, 1-34, 1996	547	1996
Modeling the Internet and the Web: Probabilistic Methods and Algorithms P Baldi, P Frasconi, P Smyth Modeling the Internet and the Web: Probabilistic Methods and Algorithms, 2003	528*	2003
An information theoretic approach to rule induction from databases P Smyth, RM Goodman IEEE transactions on Knowledge and data engineering 4 (4), 301-316, 1992	519	1992
Visualization of navigation patterns on a web site using model-based clustering I Cadez, D Heckerman, C Meek, P Smyth, S White Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000	497	2000
Statistical topic models for multi-label document classification TN Rubin, A Chambers, P Smyth, M Steyvers Machine learning 88, 157-208, 2012	470	2012
Hidden Markov models for fault detection in dynamic systems P Smyth Pattern recognition 27 (1), 149-164, 1994	465	1994

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