Padhraic Smyth

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Learning Stochastic Path Planning Models from Video Images

Sridevi Parise, Padhraic Smyth, 2004 .

Adaptive event detection with time-varying poisson processes

Padhraic Smyth, Alexander T. Ihler, Jon Hutchins, 2006, KDD '06.

Discussion on the paper by Friedman and Fisher

Padhraic Smyth, 1999, Stat. Comput..

Analyzing NIH Funding Patterns over Time with Statistical Text Analysis

Ralf Krestel, Padhraic Smyth, Jihyun Park, 2016, AAAI Workshop: Scholarly Big Data.

Learning author-topic models from text corpora

Thomas L. Griffiths, Padhraic Smyth, Michal Rosen-Zvi, 2010, TOIS.

Data-driven evolution of data mining algorithms

Christos Faloutsos, Padhraic Smyth, Daryl Pregibon, 2002, CACM.

Modeling individual email patterns over time with latent variable models

Padhraic Smyth, Christopher DuBois, Nicholas Navaroli, 2013, Machine Learning.

Finite mixture models: theory and applications for large multivariate, sequential and transaction data sets

Padhraic Smyth, Igor V. Cadez, Padhraic Smyth, 2002 .

Prediction and ranking algorithms for event-based network data

Padhraic Smyth, Jon Hutchins, Joshua O’Madadhain, 2005, SKDD.

Basic WWW Technologies

Pierre Baldi, Paolo Frasconi, Padhraic Smyth, 2003 .

Dementia Screening with Machine Learning Methods

Padhraic Smyth, Michael J. Pazzani, William R. Shankle, 1997 .

Multi-Instance Mixture Models

James R. Foulds, Padhraic Smyth, 2011, SDM.

Modeling Response Time in Digital Human Communication

Padhraic Smyth, Nicholas Navaroli, 2015, ICWSM.

Conditional Chow-Liu Tree Structures for Modeling Discrete-Valued Vector Time Series pdf

Padhraic Smyth, Sergey Kirshner, Andrew Robertson, 2004, UAI.

Probabilistic query models for transaction data

Padhraic Smyth, Dmitry Pavlov, Padhraic Smyth, 2001, KDD '01.

Automated analysis of radar imagery of Venus: handling lack of ground truth

Pietro Perona, Padhraic Smyth, Usama M. Fayyad, 1994, Proceedings of 1st International Conference on Image Processing.

Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models

Padhraic Smyth, Alexander T. Ihler, Padhraic Smyth, 2006, NIPS.

Image retrieval by content: a machine learning approach

Padhraic Smyth, Usama Fayyad, Padhraic Smyth, 1995, Other Conferences.

Combining concept hierarchies and statistical topic models

Padhraic Smyth, Chaitanya Chemudugunta, Mark Steyvers, 2008, CIKM '08.

A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data

Hal S. Stern, Padhraic Smyth, Seyoung Kim, 2010, IEEE Transactions on Medical Imaging.

Variational message-passing: extension to continuous variables and applications in multi-target tracking

Padhraic Smyth, Alexander T. Ihler, Andrew Frank, 2013 .

Modeling and Understanding Human Behavior on the Web

Pierre Baldi, Paolo Frasconi, Padhraic Smyth, 2003 .

Model selection for probabilistic clustering using cross-validated likelihood

Padhraic Smyth, Padhraic Smyth, 2000, Stat. Comput..

Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods

Padhraic Smyth, Michael J. Pazzani, William Rodman Shankle, 1997, AIME.

Modeling the Internet and the Web: Probabilistic Method and Algorithms

Pierre Baldi, Paolo Frasconi, Padhraic Smyth, 2002 .

Analysis of Pattern Discovery in Sequences Using a Bayes Error Framework

Padhraic Smyth, Darya Chudova, Padhraic Smyth, 2003, Data Mining and Knowledge Discovery.

Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation pdf

Max Welling, Padhraic Smyth, Alexander T. Ihler, 2006, UAI.

Particle Filtered MCMC-MLE with Connections to Contrastive Divergence

Padhraic Smyth, Qiang Liu, Alexander T. Ihler, 2010, ICML.

Statistical inference and data mining

Padhraic Smyth, Clark Glymour, David Madigan, 1996, CACM.

Approximate Inference for Deep Latent Gaussian Mixtures

Lars Hertel, Padhraic Smyth, Eric Nalisnick, 2016 .

Curve Clustering with Random Effects Regression Mixtures

Padhraic Smyth, Scott Gaffney, 2003, AISTATS.

Data mining tasks and methods: Clustering: numerical clustering

Padhraic Smyth, Padhraic Smyth, 2002 .

Data Organization and Databases

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001 .

Decision tree design from a communication theory standpoint

Padhraic Smyth, Rodney M. Goodman, Padhraic Smyth, 1988, IEEE Trans. Inf. Theory.

Probabilistic learning for analysis of sensor-based human activity data

Padhraic Smyth, Alexander T. Ihler, Jonathan Hutchins, 2010 .

Algorithm Derives Rules From Data

Padhraic Smyth, Rodney M. Goodman, 1991 .

Scalable Parallel Topic Models

Padhraic Smyth, Mark Steyvers, David Newman, 2006 .

Learning Finite State Machines With Self-Clustering Recurrent Networks

Padhraic Smyth, Rodney M. Goodman, Zheng Zeng, 1993, Neural Computation.

Probabilistic model-based detection of bent-double radio galaxies

Chandrika Kamath, Padhraic Smyth, Erick Cantú-Paz, 2002, Object recognition supported by user interaction for service robots.

Clustering Using Monte Carlo Cross-Validation

Padhraic Smyth, Padhraic Smyth, 1996, KDD.

Predictive Modeling for Classification

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001 .

An Information Theoretic Approach to Rule Induction from Databases

Padhraic Smyth, Rodney M. Goodman, Padhraic Smyth, 1992, IEEE Trans. Knowl. Data Eng..

Hierarchical Dirichlet Processes with Random Effects

Padhraic Smyth, Seyoung Kim, Padhraic Smyth, 2006, NIPS.

Markov monitoring with unknown states

Padhraic Smyth, Padhraic Smyth, 1994, IEEE J. Sel. Areas Commun..

Information-Theoretic Rule Induction

Padhraic Smyth, Rodney M. Goodman, Padhraic Smyth, 1988, ECAI.

Infinite mixtures of trees

Padhraic Smyth, Sergey Kirshner, Padhraic Smyth, 2007, ICML '07.

Beyond MAP Estimation With the Track-Oriented Multiple Hypothesis Tracker

Padhraic Smyth, Alexander T. Ihler, Andrew J. Frank, 2014, IEEE Transactions on Signal Processing.

Statistical entity-topic models

Padhraic Smyth, Chaitanya Chemudugunta, David Newman, 2006, KDD '06.

A general probabilistic framework for clustering individuals and objects

Padhraic Smyth, Igor V. Cadez, Scott Gaffney, 2000, KDD '00.

Special issue on best of SIGKDD 2011

Andrew Tomkins, Joydeep Ghosh, Padhraic Smyth, 2012, TKDD.

On loss functions which minimize to conditional expected values and posterior proba- bilities

Padhraic Smyth, Rodney M. Goodman, John W. Miller, 1993, IEEE Trans. Inf. Theory.

EventRank: a framework for ranking time-varying networks

Padhraic Smyth, Joshua O'Madadhain, Padhraic Smyth, 2005, LinkKDD '05.

Deformable Markov model templates for time-series pattern matching

Padhraic Smyth, Xianping Ge, Padhraic Smyth, 2000, KDD '00.

A Spectral Clustering Approach To Finding Communities in Graph

Padhraic Smyth, Scott White, Padhraic Smyth, 2005, SDM.

Probabilistic Independence Networks for Hidden Markov Probability Models

Michael I. Jordan, Padhraic Smyth, David Heckerman, 1997, Neural Computation.

Joint Probabilistic Curve Clustering and Alignment

Padhraic Smyth, Scott Gaffney, Padhraic Smyth, 2004, NIPS.

Data Mining at the Interface of Computer Science and Statistics

Padhraic Smyth, Padhraic Smyth, 2001 .

Search and Optimization Methods

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001 .

Scalable statistical estimation methods for large, time-varying networks

Padhraic Smyth, Arthur U. Asuncion, David R. Hunter, 2012 .

Probabilistic topic models for information retrieval and concept modeling

Padhraic Smyth, Chaitanya Chemudugunta, 2009 .

Discovering Chinese words from unsegmented text (poster abstract)

Wanda Pratt, Padhraic Smyth, Xianping Ge, 1999, SIGIR '99.

Image database exploration: progress and challenges

Padhraic Smyth, Usama Fayyad, Padhraic Smyth, 1993 .

Principles of Data Mining

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001, Undergraduate Topics in Computer Science.

Hierarchical Models for Relational Event Sequences

Padhraic Smyth, Christopher DuBois, Daniel A. McFarland, 2012, 1207.7306.

Data-Driven Discovery Using Probabilistic Hidden Variable Models

Padhraic Smyth, 2006, ALT.

Automated induction of rule-based neural networks from databases

Padhraic Smyth, Rodney M. Goodman, 1993 .

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, UAI 2017, Sydney, Australia, August 11-15, 2017

Padhraic Smyth, Ann Nicholson, Gavin Brown, 2017, UAI.

Pattern discovery in sequences under a Markov assumption

Padhraic Smyth, Darya Chudova, Padhraic Smyth, 2002, KDD.

Segmental semi-markov models and applications to sequence analysis

Padhraic Smyth, Xianping Ge, 2002 .

Learning with Mixture Models: Concepts and Applications

Padhraic Smyth, 2002, PKDD.

Models and Patterns

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001 .

Linearly Combining Density Estimators via Stacking

Padhraic Smyth, David H. Wolpert, Padhraic Smyth, 1999, Machine Learning.

Cataloging and Mining Massive Datasets for Science Data Analysis

Padhraic Smyth, Usama Fayyad, Padhraic Smyth, 1999 .

An Information Theoretic Approach to Rule-Based Connectionist Expert Systems

Padhraic Smyth, Rodney M. Goodman, John W. Miller, 1988, NIPS.

Statistical Models for Exploring Individual Email Communication Behavior

Padhraic Smyth, Christopher DuBois, Nicholas Navaroli, 2012, ACML.

A General Probabilistic Framework for Clustering Individuals

Padhraic Smyth, Igor V. Cadez, Scott Gaffney, 2000, KDD 2000.

Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction Data

Heikki Mannila, Padhraic Smyth, Dmitry Pavlov, 2003, IEEE Trans. Knowl. Data Eng..

The Induction of Probabilistic Rule Sets - The Itrule Algorithm

Padhraic Smyth, Rodney M. Goodman, 1989, ML.

Modeling Scientific Impact with Topical Influence Regression

James R. Foulds, Padhraic Smyth, 2013, EMNLP.

Pseudogradient Training For A Class Of Neural Networks

Padhraic Smyth, Rodney M. Goodman, Zheng Zeng, 1995 .

Modeling Subjective Uncertainty in Image Annotation

Pietro Perona, Padhraic Smyth, Usama M. Fayyad, 1996, Advances in Knowledge Discovery and Data Mining.

Modeling human location data with mixtures of kernel densities

Padhraic Smyth, Moshe Lichman, Padhraic Smyth, 2014, KDD.

Inferring Ground Truth from Subjective Labelling of Venus Images

Pietro Perona, Pierre Baldi, Padhraic Smyth, 1994, NIPS.

Business applications of data mining

Padhraic Smyth, Bing Liu, Edwin P. D. Pednault, 2002, CACM.

Probabilistic Models For Joint Clustering And Time-Warping Of Multidimensional Curves

Padhraic Smyth, Scott Gaffney, Darya Chudova, 2003, UAI.

Research track program chairs'welcome message

Joydeep Ghosh, Padhraic Smyth, Padhraic Smyth, 2011, KDD 2011.

Detecting changes in student behavior from clickstream data

Padhraic Smyth, Mark Warschauer, Fernando Rodriguez, 2017, LAK.

A Probabilistic Approach to Fast Pattern Matching in Time Series Databases

Eamonn J. Keogh, Padhraic Smyth, Padhraic Smyth, 1997, KDD.

Understanding Student Procrastination via Mixture Models

Padhraic Smyth, Mark Warschauer, Fernando Rodriguez, 2018, EDM.

Task and method selection: selection of tasks

Padhraic Smyth, 2002 .

Differential Diagnosis of Dementia: A Knowledge Discovery and Data Mining (KDD) Approach

Padhraic Smyth, Michael J. Pazzani, William Rodman Shankle, 1997, AMIA.

Estimating replicate time shifts using Gaussian process regression

Padhraic Smyth, Qiang Liu, Alexander T. Ihler, 2010, Bioinform..

An exploratory study of interdisciplinarity and breakthrough ideas

Padhraic Smyth, J. David Roessner, Jeffrey Alexander, 2013, 2013 Proceedings of PICMET '13: Technology Management in the IT-Driven Services (PICMET).

Model Complexity, Goodness of Fit and Diminishing Returns

Padhraic Smyth, Igor V. Cadez, 2000, NIPS.

Multivariate mixture models for classification of anemias

Geoffrey J. McLachlan, Padhraic Smyth, Igor V. Cadez, 2000 .

Breaking out of the Black-Box: Research Challenges in Data Mining

Padhraic Smyth, 2001, DMKD.

Unsupervised Learning with Permuted Data

Sridevi Parise, Padhraic Smyth, Sergey Kirshner, 2003, ICML.

Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction

Heikki Mannila, Padhraic Smyth, Igor V. Cadez, 2001, KDD '01.

Synthesis of Optimal Nonlinear Feedback Laws for Dynamic Systems Using Neural Networks

Padhraic Smyth, Allan Y. Lee, 1993 .

Content Coding of Psychotherapy Transcripts Using Labeled Topic Models

Padhraic Smyth, David C. Atkins, Mark Steyvers, 2017, IEEE Journal of Biomedical and Health Informatics.

Combining Background Knowledge and Learned Topics

Padhraic Smyth, Chaitanya Chemudugunta, Mark Steyvers, 2011, Top. Cogn. Sci..

Detecting Novel Classes with Applications to Fault Diagnosis

Padhraic Smyth, Jeff Mellstrom, 1992, ML.

Probabilistic Clustering using Hierarchical Models

Padhraic Smyth, Igor V. Cadez, Padhraic Smyth, 1999 .

Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth

Pietro Perona, Padhraic Smyth, Usama M. Fayyad, 1994, KDD Workshop.

Automated monitor and control for deep space network subsystems

Padhraic Smyth, Padhraic Smyth, 1989 .

Probabilistic author-topic models for information discovery

Thomas L. Griffiths, Padhraic Smyth, Michal Rosen-Zvi, 2004, KDD.

Stochastic blockmodeling of relational event dynamics

Padhraic Smyth, Christopher DuBois, Carter T. Butts, 2013, AISTATS.

Modeling relational events via latent classes

Padhraic Smyth, Christopher DuBois, Padhraic Smyth, 2010, KDD.

KDD-93: Progress and Challenges in Knowledge Discovery in Databases

Gregory Piatetsky-Shapiro, Padhraic Smyth, Ramasamy Uthurusamy, 1994, AI Mag..

An Evaluation of Linearly Combining Density Estimators via Stacking

Padhraic Smyth, David H. Wolpert, Padhraic Smyth, 1998 .

Real Time Autonomous Expert Systems in Network Management

Padhraic Smyth, Rodney M. Goodman, John W. Miller, 1989 .

Discovering Chinese Words from Unsegmented Text

Padhraic Smyth, Wanda Pratt, Xianping Ge, 1999, SIGIR 1999.

TopicNets: Visual Analysis of Large Text Corpora with Topic Modeling

Padhraic Smyth, Tobias Höllerer, Arthur U. Asuncion, 2012, TIST.

Bayesian detection of non-sinusoidal periodic patterns in circadian expression data

Padhraic Smyth, Alexander T. Ihler, Darya Chudova, 2009, Bioinform..

Making Machine Learning Algorithms Work in Practice

Padhraic Smyth, 1995 .

KDD Cup and workshop 2007

Padhraic Smyth, Charles Elkan, Bing Liu, 2007, SKDD.

A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data

Hal S. Stern, Padhraic Smyth, Seyoung Kim, 2006, MICCAI.

A Rule-Based Approach to Neural Network Classifiers

Padhraic Smyth, Rodney M. Goodman, John W. Miller, 1990 .

Probabilistic Models for Query Approximation with Large Sparse Binary Data Sets pdf

Heikki Mannila, Padhraic Smyth, Dmitry Pavlov, 2000, UAI.

The Distribution of Cycle Lengths in Graphical Models for Iterative Decoding

David Eppstein, Padhraic Smyth, Xianping Ge, 1999, ArXiv.

Joint probabilistic clustering of multivariate and sequential data

Padhraic Smyth, Padhraic Smyth, 1999, AISTATS.

From Massive Data Sets to Science Catalogs: Applications and Challenges

Padhraic Smyth, Usama Fayyad, Padhraic Smyth, 1995 .

Technical perspectiveCreativity helps influence prediction precision

Padhraic Smyth, Charles Elkan, 2010, CACM.

Analyzing Text and Social Network Data with Probabilistic Models

Padhraic Smyth, 2012, ECML/PKDD.

Continuous-Time Regression Models for Longitudinal Networks

Padhraic Smyth, Arthur U. Asuncion, David R. Hunter, 2011, NIPS.

Detecting Atmospheric Regimes Using Cross-Validated Clustering

Michael Ghil, Kayo Ide, Padhraic Smyth, 1997, KDD.

Advances in Knowledge Discovery and Data Mining

Padhraic Smyth, Ramasamy Uthurusamy, Usama Fayyad, 2006, Lecture Notes in Computer Science.

Retrofitting Decision Tree Classifiers Using Kernel Density Estimation

Alexander G. Gray, Padhraic Smyth, Usama M. Fayyad, 1995, ICML.

Machine Learning of Discriminative Gate Locations for Clinical Diagnosis

Yu Qian, Richard H Scheuermann, Padhraic Smyth, 2019, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Bayesian Predictive Profiles With Applications to Retail Transaction Data

Padhraic Smyth, Igor V. Cadez, Padhraic Smyth, 2001, NIPS.

Probabilistic Anomaly Detection in Dynamic Systems

Padhraic Smyth, 1993, NIPS.

Stick-Breaking Variational Autoencoders

Padhraic Smyth, Eric T. Nalisnick, Marco Cote, 2016, ICLR.

Revisiting MAP Estimation, Message Passing and Perfect Graphs

James R. Foulds, Padhraic Smyth, Alexander T. Ihler, 2011, AISTATS.

Self-clustering recurrent networks

Padhraic Smyth, Rodney M. Goodman, Zheng Zeng, 1993, IEEE International Conference on Neural Networks.

Science and data science

Padhraic Smyth, David M Blei, Padhraic Smyth, 2017, Proceedings of the National Academy of Sciences.

Unifying the Dropout Family Through Structured Shrinkage Priors pdf

Padhraic Smyth, Eric T. Nalisnick, Padhraic Smyth, 2018, ArXiv.

Learning with Mixture Models: Concepts and Applications

Padhraic Smyth, 2002, ECML.

The Author-Topic Model for Authors and Documents

Thomas L. Griffiths, Padhraic Smyth, Michal Rosen-Zvi, 2004, UAI.

Hierarchical Models for Screening of Iron Deficiency Anemia

Geoffrey J. McLachlan, Padhraic Smyth, Igor V. Cadez, 1999, ICML.

Distributed Algorithms for Topic Models

Max Welling, Padhraic Smyth, Arthur U. Asuncion, 2009, J. Mach. Learn. Res..

Model-Based Clustering and Visualization of Navigation Patterns on a Web Site

Padhraic Smyth, David Heckerman, Christopher Meek, 2003, Data Mining and Knowledge Discovery.

Hidden Markov models and neural networks for fault detection in dynamic systems

Padhraic Smyth, Padhraic Smyth, 1993, Neural Networks for Signal Processing III - Proceedings of the 1993 IEEE-SP Workshop.

Statistical topic models for multi-label document classification

Timothy N. Rubin, Padhraic Smyth, Mark Steyvers, 2011, Machine Learning.

A Hybrid Rule-Based/Bayesian Classifier

Padhraic Smyth, Rodney M. Goodman, Charles M. Higgins, 1990, ECAI.

Analyzing Entities and Topics in News Articles Using Statistical Topic Models

Padhraic Smyth, Chaitanya Chemudugunta, Mark Steyvers, 2006, ISI.

Forecasting Daily Wildfire Activity Using Poisson Regression

Padhraic Smyth, Efi Foufoula-Georgiou, James T. Randerson, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Learning with Probabilistic Representations

Gregory M. Provan, Pat Langley, Padhraic Smyth, 2004, Machine Learning.

Discrete recurrent neural networks for grammatical inference

Padhraic Smyth, Rodney M. Goodman, Zheng Zeng, 1994, IEEE Trans. Neural Networks.

Knowledge Discovery and Data Mining: Towards a Unifying Framework

Padhraic Smyth, Gregory Piatetsky-Shapiro, Usama M. Fayyad, 1996, KDD.

Probability density estimation and local basis function neural networks

Padhraic Smyth, 1994, COLT 1994.

Anomaly Detection Using Hidden Markov Models

Padhraic Smyth, Padhraic Smyth, 1993 .

Low False Alarm Fault Monitoring with Markov Models

Padhraic Smyth, 1994 .

Cycle length distributions in graphical models for iterative decoding

David Eppstein, Padhraic Smyth, Xianping Ge, 2000, 2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060).

Trajectory clustering with mixtures of regression models

Padhraic Smyth, Scott Gaffney, Padhraic Smyth, 1999, KDD '99.

Towards scalable support vector machines using squashing

Padhraic Smyth, Dmitry Pavlov, Darya Chudova, 2000, KDD '00.

Statistical Themes and Lessons for Data Mining

Padhraic Smyth, Clark Glymour, David Madigan, 2004, Data Mining and Knowledge Discovery.

A High-Speed Distortionless Predictive Image-Compression Scheme

Padhraic Smyth, K.-M. Cheung, H. Wang, 1990 .

Decision tree design using information theory

Padhraic Smyth, Rodney M. Goodman, Padhraic Smyth, 1990, Knowledge Acquisition.

Dropout as a Structured Shrinkage Prior

Padhraic Smyth, José Miguel Hernández-Lobato, Eric T. Nalisnick, 2018, ICML.

Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data

Geoffrey J. McLachlan, Padhraic Smyth, Igor V. Cadez, 2002, Machine Learning.

Hot Swapping for Online Adaptation of Optimization Hyperparameters pdf

Padhraic Smyth, Dennis DeCoste, Kevin Bache, 2015, ICLR.

Automated analysis and exploration of image databases: Results, progress, and challenges

Padhraic Smyth, Usama M. Fayyad, S. George Djorgovski, 2004, Journal of Intelligent Information Systems.

Advanced Crawling Techniques

Pierre Baldi, Paolo Frasconi, Padhraic Smyth, 2003 .

EVOLUTION DATA MINING

Christos Faloutsos, Padhraic Smyth, Daryl Pregibon, 2002 .

An Information Theoretic Approach to Modeling Neural Network Expert Systems

Padhraic Smyth, Rodney M. Goodman, J. W. Miller, 1989, IEEE/CAM Information Theory Workshop at Cornell.

Anytime Exploratory Data Analysis for Massive Data Sets

Padhraic Smyth, David H. Wolpert, 1997, KDD.

Modeling Waveform Shapes with Random Eects Segmental Hidden Markov Models

Padhraic Smyth, Stefan Luther, Seyoung Kim, 2004, UAI 2004.

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011

Chid Apte, Joydeep Ghosh, Padhraic Smyth, 2011, KDD.

A graphical model representation of the track-oriented multiple hypothesis tracker

Padhraic Smyth, Alexander T. Ihler, Andrew J. Frank, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Learning concept graphs from text with stick-breaking priors

Padhraic Smyth, Mark Steyvers, America Chambers, 2010, NIPS.

Approximate Query Answering with Frequent Sets and Maximum Entropy

Heikki Mannila, Padhraic Smyth, 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073).

Hidden Markov models for fault detection in dynamic system

Padhraic Smyth, Padhraic Smyth, 1993, Pattern Recognit..

Statistical inference and data mining : Data mining and knowledge discovery in databases

Padhraic Smyth, Clark Glymour, David Madigan, 1996 .

Identification of hair cycle-associated genes from time-course gene expression profile data by using replicate variance

Padhraic Smyth, Darya Chudova, Bogi Andersen, 2004, Proc. Natl. Acad. Sci. USA.

Robust Evaluation of Topic Models

Padhraic Smyth, James Foulds, 2009 .

Learning to Recognize Volcanoes on Venus

Pietro Perona, Padhraic Smyth, Usama M. Fayyad, 1998, Machine Learning.

On Smoothing and Inference for Topic Models

Yee Whye Teh, Max Welling, Padhraic Smyth, 2009, UAI.

Modeling of multivariate time series using hidden markov models

Padhraic Smyth, Sergey Kirshner, Padhraic Smyth, 2005 .

Synthesis of minimum-time feedback laws for dynamic systems using neural networks

Padhraic Smyth, Allan Y. Lee, Allan Y. Lee, 1994 .

Algorithms for estimating relative importance in networks

Padhraic Smyth, Scott White, Padhraic Smyth, 2003, KDD '03.

Measurement and Data

Heikki Mannila, David J. Hand, Padhraic Smyth, 2019, Safety and Quality in Medical Transport Systems.

The application of information theory to problems in decision tree design and rule-based expert systems

Padhraic Smyth, 1988 .

An Efficient Source Coding Scheme For Progressive Image Transmission

Padhraic Smyth, Kar-Ming Cheung, Padhraic Smyth, 1991, Proceedings. 1991 IEEE International Symposium on Information Theory.

Score Functions for Data Mining Algorithms

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001 .

Approximate Query Answering by Model Averaging

Padhraic Smyth, Dmitry Pavlov, 2003, SDM.

KDD Cup and Workshop 2007

Padhraic Smyth, Charles Elkan, Bing Liu, 2007, KDD '07.

A Systematic Overeview of Data Mining Algorithms

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001 .

Data-Driven Discovery Using Probabilistic Hidden Variable Models

Padhraic Smyth, 2006, Discovery Science.

The distribution of loop lengths in graphical models for turbo decoding

David Eppstein, Padhraic Smyth, Xianping Ge, 1999, IEEE Trans. Inf. Theory.

Text-based measures of document diversity

Padhraic Smyth, David Newman, Kevin Bache, 2013, KDD.

Learning with Blocks: Composite Likelihood and Contrastive Divergence

Padhraic Smyth, Qiang Liu, Alexander T. Ihler, 2010, AISTATS.

Dynamic Egocentric Models for Citation Networks

Padhraic Smyth, Arthur U. Asuncion, David R. Hunter, 2011, ICML.

Fault Diagnosis of Antenna Pointing Systems Using Hybrid Neural Network and Signal Processing Models

Padhraic Smyth, Jeff Mellstrom, 1991, NIPS.

Hidden Markov Models and Neural Networks for Fault Detection

Padhraic Smyth, 1998 .

Modeling Documents by Combining Semantic Concepts with Unsupervised Statistical Learning

Padhraic Smyth, Chaitanya Chemudugunta, Mark Steyvers, 2008, SEMWEB.

Prediction with local patterns using cross-entropy

Heikki Mannila, Padhraic Smyth, Dmitry Pavlov, 1999, KDD '99.

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (2013) pdf

Ann E. Nicholson, Padhraic Smyth, 2013, ArXiv.

An Information Theoretic Approach to Distributed Inference and Learning

Padhraic Smyth, 1992 .

From Data Mining to Knowledge Discovery in Databases

Padhraic Smyth, Gregory Piatetsky-Shapiro, Usama M. Fayyad, 1996, AI Mag..

Commerce on the Web: Models and Applications

Pierre Baldi, Paolo Frasconi, Padhraic Smyth, 2003 .

Distributed and accelerated inference algorithms for probabilistic graphical models

Padhraic Smyth, Arthur U. Asuncion, 2011 .

Multi-Instance Mixture Models and Semi-Supervised Learning

Padhraic Smyth, James Foulds, 2011 .

Bayesian Trees for Automated Cytometry Data Analysis

Yu Qian, Richard H. Scheuermann, Padhraic Smyth, 2018, bioRxiv.

Modeling the Internet and the Web: Probabilistic Methods and Algorithms. By Pierre Baldi, Paolo Frasconi, Padhraic Smith, John Wiley and Sons Ltd., West Sussex, England, 2003. 285 pp ISBN 0 470 84906 1

Pierre Baldi, Paolo Frasconi, Padhraic Smyth, 2006, Inf. Process. Manag..

Sequential Pattern Discovery under a Markov Assumption

Padhraic Smyth, Darya Chudova, Padhraic Smyth, 2002 .

Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing

Padhraic Smyth, Vivek Srikumar, David C. Atkins, 2015, CLPsych@HLT-NAACL.

Feature Model for Longitudinal Social Networks

Padhraic Smyth, Christopher DuBois, Arthur U. Asuncion, 2011 .

Bayesian Detection of Changepoints in Finite-State Markov Chains for Multiple Sequences

Padhraic Smyth, Petter Arnesen, Tracy Holsclaw, 2015, Technometrics.

Segmental Hidden Markov Models with Random Effects for Waveform Modeling

Padhraic Smyth, Seyoung Kim, Padhraic Smyth, 2006, J. Mach. Learn. Res..

Rule Indcution using Information Theory

Padhraic Smyth, 1991 .

Parameter Estimation for Inhomogeneous Markov Random Fields Using PseudoLikelihood

Padhraic Smyth, Igor V. Cadez, 1998 .

Recommending Patents based on Latent Topics (Author's Manuscript)

Ralf Krestel, Padhraic Smyth, 2013 .

Automating Data Science (Dagstuhl Seminar 18401)

Luc De Raedt, Tijl De Bie, Padhraic Smyth, 2018, Dagstuhl Reports.

Recommending patents based on latent topics

Ralf Krestel, Padhraic Smyth, Padhraic Smyth, 2013, RecSys.

The Automated Analysis, Cataloging, and Searching of Digital Image Libraries: A Machine Learning Approach

Padhraic Smyth, Usama M. Fayyad, 1994, DL.

Belief networks, hidden Markov models, and Markov random fields: A unifying view

Padhraic Smyth, Padhraic Smyth, 1997, Pattern Recognit. Lett..

Clustering Sequences with Hidden Markov Models

Padhraic Smyth, Padhraic Smyth, 1996, NIPS.

A new generation of intelligent trainable tools for analyzing large scientific image databases

Padhraic Smyth, David J. Atkinson, Usama Fayyad, 1994 .

Personalized location models with adaptive mixtures

Padhraic Smyth, Dimitrios Kotzias, Moshe Lichman, 2016, SIGSPATIAL/GIS.

Annealing Paths for the Evaluation of Topic Models

James R. Foulds, Padhraic Smyth, Padhraic Smyth, 2014, UAI.

Network management tools for a GPS datalink network

Joseph I. Statman, Padhraic Smyth, Todd H. Chauvin, 1991 .

Deep Space Network Antenna Monitoring Using Adaptive Time Series Methods and Hidden Markov Models

Padhraic Smyth, Jeff Mellstrom, 1993 .

Rule Induction Using Information Theory

Padhraic Smyth, Rodney M. Goodman, Padhraic Smyth, 1991, Knowledge Discovery in Databases.

Types and forms of knowledge (patterns): clusters

Padhraic Smyth, Padhraic Smyth, 2002 .

Adaptive approximate querying of large sparse binary data sets via probabilistic model averaging

Padhraic Smyth, Dmitry A. Pavlov, 2002 .

Particle-based Variational Inference for Continuous Systems

Padhraic Smyth, Alexander T. Ihler, Andrew J. Frank, 2009, NIPS.

Real-time antenna fault diagnosis experiments at DSS 13

Padhraic Smyth, Jeff Mellstrom, C. Pierson, 1992 .

From Data Mining to Knowledge Discovery: An Overview

Padhraic Smyth, Gregory Piatetsky-Shapiro, Usama M. Fayyad, 1996, Advances in Knowledge Discovery and Data Mining.

Finding Patterns and Rules

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001 .

Learning Approximately Objective Priors

Padhraic Smyth, Eric T. Nalisnick, Padhraic Smyth, 2017, UAI.

Applying classification algorithms in practice

Carla E. Brodley, Padhraic Smyth, Padhraic Smyth, 1997, Stat. Comput..

Clustering Markov States into Equivalence Classes using SVD and Heuristic Search Algorithms

Sridevi Parise, Padhraic Smyth, Xianping Ge, 2003, AISTATS.

Translation-invariant mixture models for curve clustering

Padhraic Smyth, Eric Mjolsness, Scott Gaffney, 2003, KDD '03.

Entropy-Based Bounds On Redundancies Of Huffman Codes

Padhraic Smyth, 1992 .

Latent Set Models for Two-Mode Network Data

James R. Foulds, Padhraic Smyth, Christopher DuBois, 2011, ICWSM.

Prediction of Sparse User-Item Consumption Rates with Zero-Inflated Poisson Regression

Padhraic Smyth, Moshe Lichman, Padhraic Smyth, 2018, WWW.

Text Modeling using Unsupervised Topic Models and Concept Hierarchies pdf

Padhraic Smyth, Chaitanya Chemudugunta, Mark Steyvers, 2008, ArXiv.

Segmental Semi-Markov Models for Endpoint Detection in Plasma Etching

Padhraic Smyth, Xianping Ge, Wenli Z. Collison, 2000 .

Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation

James R. Foulds, Levi Boyles, Max Welling, 2013, KDD.

"Analyzing User-Event Data using Score- Based Likelihood Ratios with Marked Point Processes"

Padhraic Smyth, Christopher Galbraith, 2017 .

Learning to detect events with Markov-modulated poisson processes

Padhraic Smyth, Alexander T. Ihler, Jon Hutchins, 2007, TKDD.

Gene Expression Clustering with Functional Mixture Models

Padhraic Smyth, Eric Mjolsness, Darya Chudova, 2003, NIPS.

The UCI KDD archive of large data sets for data mining research and experimentation

Stephen D. Bay, Padhraic Smyth, Michael J. Pazzani, 2000, SKDD.

Bounds on the mean classification error rate of multiple experts

Padhraic Smyth, Padhraic Smyth, 1996, Pattern Recognit. Lett..

A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks

James R. Foulds, Padhraic Smyth, Christopher DuBois, 2011, AISTATS.

Probabilistic Model-Based Clustering of Multivariate and Sequential Data

Padhraic Smyth, Padhraic Smyth, 1999 .

From Group to Individual Labels Using Deep Features

Misha Denil, Nando de Freitas, Padhraic Smyth, 2015, KDD.

Quantifying the association between discrete event time series with applications to digital forensics

Hal S. Stern, Padhraic Smyth, Christopher Galbraith, 2020, Journal of the Royal Statistical Society: Series A (Statistics in Society).

Learning From Probabilistic Class Labels

Padhraic Smyth, 1993 .

Subject metadata enrichment using statistical topic models

Padhraic Smyth, Chaitanya Chemudugunta, David Newman, 2007, JCDL '07.

Parametric Response Surface Models for Analysis of Multi-site fMRI Data

Jessica A. Turner, Hal S. Stern, Padhraic Smyth, 2005, MICCAI.

Rule-Based Neural Networks for Classification and Probability Estimation

Padhraic Smyth, Rodney M. Goodman, Charles M. Higgins, 1992, Neural Computation.

Web Structure Mining: Analyse de Liens

Pierre Baldi, Paolo Frasconi, Padhraic Smyth, 2008 .

Predicting Consumption Patterns with Repeated and Novel Events

Padhraic Smyth, Dimitrios Kotzias, Moshe Lichman, 2019, IEEE Transactions on Knowledge and Data Engineering.

Probabilistic Analysis of a Large-Scale Urban Traffic Sensor Data Set

Padhraic Smyth, Alexander T. Ihler, Jon Hutchins, 2008, KDD Workshop on Knowledge Discovery from Sensor Data.

Automated Induction Of Rule-Based Neural Networks

Padhraic Smyth, Rodney M. Goodman, 1994 .

Modeling the Internet and the Web: Probabilistic Methods and Algorithms: Baldi/Probabilistic

Pierre Baldi, Paolo Frasconi, Padhraic Smyth, 2002 .

Rule Discovery from Time Series

Heikki Mannila, Gautam Das, Padhraic Smyth, 1998, KDD.

The KDD process for extracting useful knowledge from volumes of data

Gregory Piatetsky-Shapiro, Padhraic Smyth, Usama Fayyad, 1996, CACM.

Learning to Classify Galaxy Shapes Using the EM Algorithm

Chandrika Kamath, Padhraic Smyth, Igor V. Cadez, 2002, NIPS.

Discrete Recurrent Neural Networks as Pushdown Automata

Padhraic Smyth, Rodney M. Goodman, Zheng Zeng, 1993 .

Processing Boolean queries over Belief networks

Padhraic Smyth, Rina Dechter, 2000 .

Advances in Knowledge Discovery and Data Mining

Gregory Piatetsky-Shapiro, Padhraic Smyth, Ramasamy Uthurusamy, 2004, Lecture Notes in Computer Science.

Fast collapsed gibbs sampling for latent dirichlet allocation

Max Welling, Padhraic Smyth, Alexander T. Ihler, 2008, KDD.

Stacked Density Estimation

Padhraic Smyth, David H. Wolpert, Padhraic Smyth, 1997, NIPS.

Initial results on fault diagnosis of DSN antenna control assemblies using pattern recognition techniques

Padhraic Smyth, Jeff Mellstrom, 1990 .

Mondrian Processes for Flow Cytometry Analysis

Padhraic Smyth, Eric Nalisnick, Eric T. Nalisnick, 2017, 1711.07673.

Distributed Inference for Latent Dirichlet Allocation

Max Welling, Padhraic Smyth, Arthur U. Asuncion, 2007, NIPS.

Machine Learning on Very Large Data Sets: Distributed Gibbs Sampling for Latent Variable Models

Max Welling, Padhraic Smyth, David Newman, 2012 .

A Bayesian Framework for Storm Tracking Using a Hidden-State Representation

Padhraic Smyth, Hal Stern, Gudrun Magnusdottir, 2008 .

Distributed Gibbs sampling for latent variable models

Max Welling, Padhraic Smyth, Arthur U. Asuncion, 2012 .

On Stochastic Complexity and Admissible Models for Neural Network Classifiers

Padhraic Smyth, 1990, NIPS.

Asynchronous Distributed Learning of Topic Models

Max Welling, Padhraic Smyth, Arthur U. Asuncion, 2008, NIPS.

Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model

Padhraic Smyth, Chaitanya Chemudugunta, Mark Steyvers, 2006, NIPS.

Active Bayesian Assessment for Black-Box Classifiers pdf

Padhraic Smyth, Disi Ji, Mark Steyvers, 2020, AAAI.

Visualization of navigation patterns on a Web site using model-based clustering

Padhraic Smyth, David Heckerman, Christopher Meek, 2000, KDD '00.

Learning Priors for Invariance

Padhraic Smyth, Eric T. Nalisnick, Padhraic Smyth, 2018, AISTATS.

Retrieval by Content

Heikki Mannila, David J. Hand, Padhraic Smyth, 2001 .

Windows into Relational Events: Data Structures for Contiguous Subsequences of Edges

David Eppstein, Padhraic Smyth, Christopher DuBois, 2012, SODA.

Variational Reference Priors

Padhraic Smyth, Eric T. Nalisnick, 2017, ICLR.

Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions

Sameer Singh, Padhraic Smyth, David C. Atkins, 2019, J. Am. Medical Informatics Assoc..

Automating the hunt for volcanoes on Venus

Pietro Perona, Padhraic Smyth, Usama M. Fayyad, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Imaging phenotypes and genotypes in schizophrenia

Jessica A. Turner, Steven G. Potkin, Padhraic Smyth, 2007, Neuroinformatics.

OF DATA MINING

Bing Liu, Padhraic Smyth, Edwin P. D. Pednault, 2002 .

Automating Data Science: Prospects and Challenges pdf

Luc De Raedt, Tijl De Bie, Padhraic Smyth, 2021, ArXiv.

Active Bayesian Assessment for Black-Box Classifiers

Padhraic Smyth, Mark Steyvers, Disi Ji, 2020, ArXiv.

Machine learning and artificial intelligence for wildfire prediction

Padhraic Smyth, Alex Hall, Rodman Linn, 2021 .

Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration pdf

Padhraic Smyth, Mark Steyvers, Gavin Kerrigan, 2021, NeurIPS.

Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations

Padhraic Smyth, Preston Putzel, Shinjini Nandi, 2021, ArXiv.

9 Rule Induction using Information Theory

Padhraic Smyth, Rodney M. Goodman, Padhraic Smyth, 2002 .

Asynchronous distributed estimation of topic models for document analysis

Max Welling, Padhraic Smyth, Arthur U. Asuncion, 2011, Statistical Methodology.

Bayesian nonhomogeneous Markov models via Pólya-Gamma data augmentation with applications to rainfall modeling

Padhraic Smyth, Arthur M. Greene, Andrew W. Robertson, 2017, 1701.02856.

Modeling of Inhomogeneous Markov Random Fields with Applications to Cloud Screening

Padhraic Smyth, Igor V. Cadez, Padhraic Smyth, 1998 .

Automated analysis of the temporal behavior of the double Intertropical Convergence Zone over the east Pacific

Padhraic Smyth, Daniel Henke, Gudrun Magnusdottir, 2012 .

Situational Awareness Technologies for Disaster Response

Nalini Venkatasubramanian, Dmitri V. Kalashnikov, Sharad Mehrotra, 2008 .

Multiresolution pattern recognition of small volcanos in Magellan data

Padhraic Smyth, Larry S. Crumpler, C. H. Anderson, 1992 .

Trainable Cataloging for Digital Image Libraries with Applications to Volcano Detection

Pietro Perona, Padhraic Smyth, U. M. Fayyad, 1995 .

Hidden Markov Models for Endpoint Detection in Plasma Etch Processes

Padhraic Smyth, Xianping Ge, Padhraic Smyth, 2001 .

A Bayesian Hidden Markov Model of Daily Precipitation over South and East Asia

Padhraic Smyth, Arthur M. Greene, Andrew W. Robertson, 2015 .

Downscaling projections of Indian monsoon rainfall using a non‐homogeneous hidden Markov model

Padhraic Smyth, Arthur M. Greene, Andrew W. Robertson, 2011 .

Detecting the ITCZ in Instantaneous Satellite Data using Spatiotemporal Statistical Modeling: ITCZ Climatology in the East Pacific

Hal S. Stern, Padhraic Smyth, Caroline L. Bain, 2011 .

Machine learning to predict final fire size at the time of ignition

Padhraic Smyth, Efi Foufoula-Georgiou, James T. Randerson, 2019, International journal of wildland fire.