Mark W. Craven

Publication Activity (10 Years)

Years Active: 1991-2017
Publications (10 Years): 3

Top Topics

Temporal Evolution

Electronic Health Records

Top Venues

Publications

Yirong Wu, Elizabeth S. Burnside, Jennifer Cox, Jun Fan, Ming Yuan, Jie Yin, Peggy L. Peissig, Alexander G. Cobian, David Page, Mark W. Craven
Breast Cancer Risk Prediction Using Electronic Health Records. ICHI (2017)
Jimeng Sun, Bradley A. Malin, Abel N. Kho, Mark W. Craven, Joydeep Ghosh
Computational Phenotyping on Diverse Data Sources. AMIA (2017)
Shara I. Feld, Alexander G. Cobian, Sarah E. Tevis, Gregory D. Kennedy, Mark W. Craven
Modeling the Temporal Evolution of Postoperative Complications. AMIA (2016)
Mark W. Craven, C. David Page
Big Data in Healthcare: Opportunities and Challenges. Big Data 3 (4) (2015)
Emily Kawaler, Alexander G. Cobian, Peggy L. Peissig, Deanna S. Cross, Steven Yale, Mark W. Craven
Learning to Predict Post-Hospitalization VTE Risk from EHR Data. AMIA (2012)
Joseph Bockhorst, Mark W. Craven, David Page, Jude W. Shavlik, Jeremy D. Glasner
A Bayesian Network Approach to Operon Prediction. Bioinform. 19 (10) (2003)
Mark W. Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner
Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes. ICML (2000)
Mark W. Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner
A Probabilistic Learning Approach to Whole-Genome Operon Prediction. ISMB (2000)
Mark W. Craven, Jude W. Shavlik
Understanding Time-Series Networks: A Case Study in Rule Extraction. Int. J. Neural Syst. 8 (4) (1997)
Mark W. Craven, Jude W. Shavlik
Using neural networks for data mining. Future Gener. Comput. Syst. 13 (2-3) (1997)
David W. Opitz, Mark W. Craven, Jude W. Shavlik
Using neural networks to automatically refine expert system knowledge bases: experiments in the NYNEX MAX domain. ICNN (1997)
Mark W. Craven, Jude W. Shavlik
Extracting Tree-Structured Representations of Trained Networks. NIPS (1995)
Mark W. Craven, Jude W. Shavlik
Machine Learning Approaches to Gene Recognition. IEEE Expert 9 (2) (1994)
Mark W. Craven, Jude W. Shavlik
Using Sampling and Queries to Extract Rules from Trained Neural Networks. ICML (1994)
Mark W. Craven, Jude W. Shavlik
Learning Symbolic Rules Using Artificial Neural Networks. ICML (1993)
Mark W. Craven, Jude W. Shavlik
Learning to Represent Codons: A Challenge Problem for Constructive Induction. IJCAI (1993)
Mark W. Craven, Jude W. Shavlik
Visualizing Learning and Computation in Artificial Neural Networks. Int. J. Artif. Intell. Tools 1 (3) (1992)
Geoffrey G. Towell, Mark W. Craven, Jude W. Shavlik
Constructive Induction in Knowledge-Based Neural Networks. ML (1991)