Gregory F Cooper


Ontology type: schema:Person     


Person Info

NAME

Gregory F

SURNAME

Cooper

Publications in SciGraph latest 50 shown

  • 2018-08 Scoring Bayesian networks of mixed variables in INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS
  • 2018-01 Binary classifier calibration using an ensemble of piecewise linear regression models in KNOWLEDGE AND INFORMATION SYSTEMS
  • 2017 Discovery of Causal Models that Contain Latent Variables Through Bayesian Scoring of Independence Constraints in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2016-01 An efficient pattern mining approach for event detection in multivariate temporal data in KNOWLEDGE AND INFORMATION SYSTEMS
  • 2015 A Bayesian Approach for Identifying Multivariate Differences Between Groups in ADVANCES IN INTELLIGENT DATA ANALYSIS XIV
  • 2015 Patient-Specific Modeling of Medical Data in MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION
  • 2012-12 Spatial cluster detection using dynamic programming in BMC MEDICAL INFORMATICS AND DECISION MAKING
  • 2012 A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2011-12 Application of an efficient Bayesian discretization method to biomedical data in BMC BIOINFORMATICS
  • 2010-06 A multivariate Bayesian scan statistic for early event detection and characterization in MACHINE LEARNING
  • 2010-05 A real-time temporal Bayesian architecture for event surveillance and its application to patient-specific multiple disease outbreak detection in DATA MINING AND KNOWLEDGE DISCOVERY
  • 2009-04-27 Bayesian Network Scan Statistics for Multivariate Pattern Detection in SCAN STATISTICS
  • 2006 A Bayesian Approach to Causal Discovery in INNOVATIONS IN MACHINE LEARNING
  • 2003-03 Wsare: What’s strange about recent events? in JOURNAL OF URBAN HEALTH
  • 1997-06 A Simple Constraint-Based Algorithm for Efficiently Mining Observational Databases for Causal Relationships in DATA MINING AND KNOWLEDGE DISCOVERY
  • 1995-01 A Bayesian method for learning belief networks that contain hidden variables in JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
  • 1992-10 A Bayesian method for the induction of probabilistic networks from data in MACHINE LEARNING
  • 1992-10 A Bayesian Method for the Induction of Probabilistic Networks from Data in MACHINE LEARNING
  • 1989 The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks in AIME 89
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