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Mark W. Craven
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2010 – 2019
- 2017
- [c12]Jimeng Sun, Bradley A. Malin, Abel N. Kho, Mark W. Craven, Joydeep Ghosh:
Computational Phenotyping on Diverse Data Sources. AMIA 2017 - [c11]Yirong Wu, Elizabeth S. Burnside, Jennifer Cox, Jun Fan
, Ming Yuan
Breast Cancer Risk Prediction Using Electronic Health Records. ICHI 2017: 224-228 - 2016
- [c10]Shara I. Feld, Alexander G. Cobian, Sarah E. Tevis, Gregory D. Kennedy, Mark W. Craven:
Modeling the Temporal Evolution of Postoperative Complications. AMIA 2016 - 2015
- [j6]Mark W. Craven, C. David Page:
Big Data in Healthcare: Opportunities and Challenges. Big Data 3(4): 209-210 (2015) - 2012
- [c9]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
2000 – 2009
- 2003
- [j5]Joseph Bockhorst, Mark W. Craven, David Page, Jude W. Shavlik, Jeremy D. Glasner:
A Bayesian Network Approach to Operon Prediction. Bioinform. 19(10): 1227-1235 (2003) - 2000
- [c8]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: 199-206 - [c7]Mark W. Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner:
A Probabilistic Learning Approach to Whole-Genome Operon Prediction. ISMB 2000: 116-127
1990 – 1999
- 1997
- [j4]Mark W. Craven, Jude W. Shavlik:
Using neural networks for data mining. Future Gener. Comput. Syst. 13(2-3): 211-229 (1997) - [j3]Mark W. Craven, Jude W. Shavlik:
Understanding Time-Series Networks: A Case Study in Rule Extraction. Int. J. Neural Syst. 8(4): 373-384 (1997) - [c6]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: 16-20 - 1995
- [c5]Mark W. Craven, Jude W. Shavlik:
Extracting Tree-Structured Representations of Trained Networks. NIPS 1995: 24-30 - 1994
- [j2]Mark W. Craven, Jude W. Shavlik:
Machine Learning Approaches to Gene Recognition. IEEE Expert 9(2): 2-10 (1994) - [c4]Mark W. Craven, Jude W. Shavlik:
Using Sampling and Queries to Extract Rules from Trained Neural Networks. ICML 1994: 37-45 - 1993
- [c3]Mark W. Craven, Jude W. Shavlik:
Learning Symbolic Rules Using Artificial Neural Networks. ICML 1993: 73-80 - [c2]Mark W. Craven, Jude W. Shavlik:
Learning to Represent Codons: A Challenge Problem for Constructive Induction. IJCAI 1993: 1319-1324 - 1992
- [j1]Mark W. Craven, Jude W. Shavlik:
Visualizing Learning and Computation in Artificial Neural Networks. Int. J. Artif. Intell. Tools 1(3): 399-426 (1992) - 1991
- [c1]Geoffrey G. Towell, Mark W. Craven, Jude W. Shavlik:
Constructive Induction in Knowledge-Based Neural Networks. ML 1991: 213-217
Coauthor Index
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