David Madigan

According to our database1, David Madigan authored at least 53 papers between 1994 and 2016.

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Bibliography

2016
Hierarchical models for multiple, rare outcomes using massive observational healthcare databases.
Statistical Analysis and Data Mining, 2016

The Factorized Self-Controlled Case Series Method: An Approach for Estimating the Effects of Many Drugs on Many Outcomes.
J. Mach. Learn. Res., 2016

2015
Predicting health outcomes from high-dimensional longitudinal health histories using relational random forests.
Statistical Analysis and Data Mining, 2015

Birth month affects lifetime disease risk: a phenome-wide method.
JAMIA, 2015

Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model.
CoRR, 2015

Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

2014
Editorial.
Statistical Analysis and Data Mining, 2014

2013
Massive Parallelization of Serial Inference Algorithms for a Complex Generalized Linear Model.
ACM Trans. Model. Comput. Simul., 2013

Sequential event prediction.
Machine Learning, 2013

Learning theory analysis for association rules and sequential event prediction.
J. Mach. Learn. Res., 2013

An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2011
Sequential Event Prediction with Association Rules.
Proceedings of the COLT 2011, 2011

2010
Large-scale regression-based pattern discovery: The example of screening the WHO global drug safety database.
Statistical Analysis and Data Mining, 2010

2009
Influence of the MedDRA® hierarchy on pharmacovigilance data mining results.
I. J. Medical Informatics, 2009

2008
Algorithms for Sparse Linear Classifiers in the Massive Data Setting.
J. Mach. Learn. Res., 2008

2007
Large-Scale Bayesian Logistic Regression for Text Categorization.
Technometrics, 2007

Sequential Decision Making Algorithms for Port of Entry Inspection: Overcoming Computational Challenges.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2007

Finding Predictive Runs with LAPS.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
Extreme value theory applied to document retrieval from large collections.
Inf. Retr., 2006

Constructing informative prior distributions from domain knowledge in text classification.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Experimental Analysis of Sequential Decision Making Algorithms for Port of Entry Inspection Procedures.
Proceedings of the Intelligence and Security Informatics, 2006

Decision Trees for Functional Variables.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Probabilistic Temporal Reasoning.
Proceedings of the Handbook of Temporal Reasoning in Artificial Intelligence, 2005

DIMACS at the TREC 2005 Genomics Track.
Proceedings of the Fourteenth Text REtrieval Conference, 2005

Bayesian indoor positioning systems.
Proceedings of the INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies, 2005

2004
DIMACS at the TREC 2004 Genomics Track.
Proceedings of the Thirteenth Text REtrieval Conference, 2004

Selected Data Mining Concepts.
Proceedings of the Discrete Methods in Epidemiology, 2004

2003
Implementation Brief: A Two-way Messaging System to Enhance Antiretroviral Adherence.
JAMIA, 2003

A Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets.
Data Min. Knowl. Discov., 2003

Experiments with random projections for machine learning.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

On Retrieval Properties of Samples of Large Collections.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

On the Naive Bayes Model for Text Categorization.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002
Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction.
Data Min. Knowl. Discov., 2002

Bayesian analysis of massive datasets via particle filters.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Text forum features for small group discussions with facet-based pedagogy.
Proceedings of the Conference on Computer Support for Collaborative Learning: Foundations for a CSCL Community, 2002

2000
KDD-99: The Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
SIGKDD Explorations, 2000

A Statistical, Nonparametric Methodology for Document Degradation Model Validation.
IEEE Trans. Pattern Anal. Mach. Intell., 2000

1999
Discussion on the paper by Friedman and Fisher.
Statistics and Computing, 1999

Boosting methodology for regression problems.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

Bayesian graphical models, intention-to-treat, and the rubin causal Model.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

Relaxing the local independence assumption for quantitative learning in acyclic directed graphical models through hierarchical partition models.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998
Interpretable Boosted Naïve Bayes Classification.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

1997
Statistical Themes and Lessons for Data Mining.
Data Min. Knowl. Discov., 1997

A Graphical Characterization of Lattice Conditional Independence Models.
Ann. Math. Artif. Intell., 1997

1996
Statistical Inference and Data Mining.
Commun. ACM, 1996

An Alternative Markov Property for Chain Graphs.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

1995
Repertory hypergrids for large-scale hypermedia linking.
Int. J. Hum.-Comput. Stud., 1995

Editorial: knowledge-based hypermedia.
Int. J. Hum.-Comput. Stud., 1995

Probabilistic Temporal Reasoning with Endogenous Change.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

On Test Selection Strategies for Belief Networks.
Proceedings of the Learning from Data, 1995

1994
Graphical models in applied multivariate statistics, by J. Whittaker, John Wiley & Sons, New York, 1990, 448 pp. Price: $59.95.
Networks, 1994

Document Degradation Models: Parameter Estimation and Model Validation.
Proceedings of IAPR Workshop on Machine Vision Applications, 1994

Repertory Hypergrids: An Application to Clinical Practice Guidelines.
Proceedings of the ECHT '94: European Conference on Hypertext Technology, 1994


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