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John Wilkins
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2010 – 2019
- 2019
- [c5]Hanyin Wang, Yikuan Li, Hongyan Ning, John Wilkins, Donald Lloyd-Jones, Yuan Luo:
Using Machine Learning to Integrate Socio-Behavioral Factors in Predicting Cardiovascular-Related Mortality Risk. MedInfo 2019: 433-437
2000 – 2009
- 2005
- [c4]Sameep Mehta, Steve Barr, Tat-Sang Choy, Hui Yang, Srinivasan Parthasarathy, Raghu Machiraju, John Wilkins:
Dynamic Classification of Defect Structures in Molecular Dynamics Simulation Data. SDM 2005: 161-172 - 2004
- [c3]Sameep Mehta, Kaden Hazzard, Raghu Machiraju, Srinivasan Parthasarathy, John Wilkins:
Detection and Visualization of Anomalous Structures in Molecular Dynamics Simulation Data. IEEE Visualization 2004: 465-472 - 2003
- [c2]Ming Jiang, Tat-Sang Choy, Sameep Mehta, Matt Coatney, Steve Barr, Kaden Hazzard, David Richie, Srinivasan Parthasarathy, Raghu Machiraju, David S. Thompson, John Wilkins, Boyd Gatlin:
Feature Mining Paradigms for Scientific Data. SDM 2003: 13-24
1990 – 1999
- 1999
- [c1]Chi-Chung Lam, P. Sadayappan, Daniel Cociorva, Mebarek Alouani, John Wilkins:
Performance Optimization of a Class of Loops Involving Sums of Products of Sparse Arrays. PP 1999
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