Mark W. Craven

According to our database, Mark W. Craven authored at least 18 papers between 1991 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Breast Cancer Risk Prediction Using Electronic Health Records.

Yirong Wu, Elizabeth S. Burnside, Jennifer Cox, Jun Fan, Ming Yuan, Jie Yin, Peggy L. Peissig, Alexander G. Cobian, David Page, Mark W. Craven

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Computational Phenotyping on Diverse Data Sources.

Jimeng Sun, Bradley A. Malin, Abel N. Kho, Mark W. Craven, Joydeep Ghosh

Proceedings of the AMIA 2017, 2017

2016

Modeling the Temporal Evolution of Postoperative Complications.

Shara I. Feld, Alexander G. Cobian, Sarah E. Tevis, Gregory D. Kennedy, Mark W. Craven

Proceedings of the AMIA 2016, 2016

2015

Big Data in Healthcare: Opportunities and Challenges.

Mark W. Craven, C. David Page

Big Data, 2015

2012

Learning to Predict Post-Hospitalization VTE Risk from EHR Data.

Emily Kawaler, Alexander G. Cobian, Peggy L. Peissig, Deanna S. Cross, Steven Yale, Mark W. Craven

Proceedings of the AMIA 2012, 2012

2003

A Bayesian Network Approach to Operon Prediction.

Joseph Bockhorst, Mark W. Craven, David Page, Jude W. Shavlik, Jeremy D. Glasner

Bioinform., 2003

2000

A Probabilistic Learning Approach to Whole-Genome Operon Prediction.

Mark W. Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner

Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, 2000

Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes.

Mark W. Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1997

Understanding Time-Series Networks: A Case Study in Rule Extraction.

Mark W. Craven, Jude W. Shavlik

Int. J. Neural Syst., 1997

Using neural networks for data mining.

Mark W. Craven, Jude W. Shavlik

Future Gener. Comput. Syst., 1997

Using neural networks to automatically refine expert system knowledge bases: experiments in the NYNEX MAX domain.

David W. Opitz, Mark W. Craven, Jude W. Shavlik

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1995

Extracting Tree-Structured Representations of Trained Networks.

Mark W. Craven, Jude W. Shavlik

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994

Machine Learning Approaches to Gene Recognition.

Mark W. Craven, Jude W. Shavlik

IEEE Expert, 1994

Using Sampling and Queries to Extract Rules from Trained Neural Networks.

Mark W. Craven, Jude W. Shavlik

Proceedings of the Machine Learning, 1994

1993

Learning to Represent Codons: A Challenge Problem for Constructive Induction.

Mark W. Craven, Jude W. Shavlik

Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

Learning Symbolic Rules Using Artificial Neural Networks.

Mark W. Craven, Jude W. Shavlik

Proceedings of the Machine Learning, 1993

1992

Visualizing Learning and Computation in Artificial Neural Networks.

Mark W. Craven, Jude W. Shavlik

Int. J. Artif. Intell. Tools, 1992

1991

Constructive Induction in Knowledge-Based Neural Networks.

Geoffrey G. Towell, Mark W. Craven, Jude W. Shavlik

Proceedings of the Eighth International Workshop (ML91), 1991