Paul E. Johnson - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 25 from 25

2016

Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weightingDavid M. Vock, Julian Wolfson, Sunayan Bandyopadhyay, Gediminas Adomavicius, Paul E. Johnson, Gabriela Vazquez-Benitez, Patrick J. O'Connor. jbi, 61:119-131, 2016. [doi]

2015

Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record dataSunayan Bandyopadhyay, Julian Wolfson, David M. Vock, Gabriela Vazquez-Benitez, Gediminas Adomavicius, Mohamed Elidrisi, Paul E. Johnson, Patrick J. O'Connor. datamine, 29(4):1033-1069, 2015. [doi]

2014

A Machine Learning Approach to Improving Dynamic Decision MakingGeorg Meyer, Gediminas Adomavicius, Paul E. Johnson, Mohamed Elidrisi, William A. Rush, JoAnn M. Sperl-Hillen, Patrick J. O'Connor. isr, 25(2):239-263, 2014. [doi]

2012

by Philip BallPaul E. Johnson. jasss, 15(4), 2012. [doi]

2010

Using functional data analysis to identify physician decision strategies which lead to better type 2 diabetes patient outcomesGregory W. Ramsey, Paul E. Johnson, Patrick J. O Connor, JoAnn M. Sperl-Hillen, William A. Rush. ihi 2010: 550-554 [doi]

2003

Data Systems in Support of Research in Managed CareWilliam A. Rush, Patrick J. O Connor, Paul E. Johnson. isf, 5(4):429-434, 2003. [doi]

2002

The power of commitment in cooperative social actionDavid Brichoux, Paul E. Johnson. jasss, 5(3), 2002. [doi]

2001

Detecting deception: adversarial problem solving in a low base-rate worldPaul E. Johnson, Stefano Grazioli, Karim Jamal, R. Glen Berryman. cogsci, 25(3):355-392, 2001. [doi]

1999

The probability density of spectral estimates based on modified periodogram averagesPaul E. Johnson, David G. Long. tsp, 47(5):1255-1261, 1999. [doi]

1997

Introduction: expertise and modeling expert decision makingHyung-Min Michael Chung, Paul E. Johnson, Peter A. Todd. dss, 21(2):49-50, 1997. [doi]

Diagnosing congenital heart defects using the Fallot computational modelNancy E. Reed, Maria L. Gini, Paul E. Johnson, James H. Moller. artmed, 10(1):25-40, 1997.

1995

The Impact of Explanation Facilities in User Acceptance of Expert System AdviceL. Richard Ye, Paul E. Johnson. misq, 19(2):157-172, 1995. [doi]

1993

Modeling Expert Decision Making: Paradox of Simple Versus Complex ModelsHyung-Min Michael Chung, Paul E. Johnson, Kenneth Ford. icisc 1993: 413-414

Types of Expertise: An Invariant of Problem SolvingPaul E. Johnson, Imran A. Zualkernan, David W. Tukey. ijmms, 39(4):641-665, 1993.

Analysis of Expert Reasoning in Hardware DiagnosisNancy E. Reed, Paul E. Johnson. ijmms, 38(2):251-280, 1993.

1990

Generative Knowledge for Computer TroubleshootingNancy E. Reed, Paul E. Johnson. ecai 1990: 535-540

A Design Based Approach to Constructing Computational Solutions to Diagnostic ProblemsD. Volovik, Imran A. Zualkernan, Paul E. Johnson, C. E. Matthews. AAAI 1990: 517-522

1987

Specification for ExpertisePaul E. Johnson, Imran A. Zualkernan, Sharon Garber. ijmms, 26(2):161-181, 1987.

1983

1981

Strolling Down The Garden Path: Error Prone Tasks in Expert Problem SolvingPaul E. Johnson, William B. Thompson. IJCAI 1981: 215-217

Expertise and Error in Diagnostic ReasoningPaul E. Johnson, Alica S. Duran, Frank Hassebrock, James H. Moller, Michael Prietula, Paul J. Feltovich, David B. Swanson. cogsci, 5(3):235-283, 1981. [doi]

1980

Computer mapping and geographical analysis: Some observations based on experienceRobert B. Honea, Paul E. Johnson. acm 1980: 29-41 [doi]

Sign in or sign up to see more results.

runs on WebDSL