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John M. Aronis
2000 – 2009
- 2005
[j6]Gregory F. Cooper, Vijoy Abraham, Constantin F. Aliferis, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Janine E. Janosky, Gary Livingston, Tom M. Mitchell: Predicting dire outcomes of patients with community acquired pneumonia. Journal of Biomedical Informatics 38(5): 347-366 (2005)- 2003
[c4]Sandra Katz, John M. Aronis, David Allbritton, Christine Wilson, Mary Lou Soffa: A study to identify predictors of achievement in an introductory computer science course. CPR 2003: 157-161- 2000
[j5]Sandra Katz, John M. Aronis, Colin Creitz: Modeling pedagogical interactions with machine learning. Kognitionswissenschaft 9(1): 45-49 (2000)
1990 – 1999
- 1998
[j4]Yongwon Lee, Bruce G. Buchanan, John M. Aronis: Knowledge-Based Learning in Exploratory Science: Learning Rules to Predict Rodent Carcinogenicity. Machine Learning 30(2-3): 217-240 (1998)
[e1]Vibhu O. Mittal, Holly A. Yanco, John M. Aronis, Richard C. Simpson (Eds.): Assistive Technology and Artificial Intelligence, Applications in Robotics, User Interfaces and Natural Language Processing. Lecture Notes in Computer Science 1458, Springer 1998, ISBN 3-540-64790-2- 1997
[j3]Gregory F. Cooper, Constantin F. Aliferis, Richard Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, Geoffrey J. Gordon, Barbara H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas S. Richardson, Peter Spirtes: An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine 9(2): 107-138 (1997)
[c3]John M. Aronis, Foster J. Provost: Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation. KDD 1997: 119-122- 1996
[j2]Foster J. Provost, John M. Aronis: Scaling Up Inductive Learning with Massive Parallelism. Machine Learning 23(1): 33-46 (1996)
[c2]John M. Aronis, Foster J. Provost, Bruce G. Buchanan: Exploiting Background Knowledge in Automated Discovery. KDD 1996: 355-358- 1994
[c1]John M. Aronis, Foster J. Provost: Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning. KDD Workshop 1994: 347-358- 1992
[j1]Richmond H. Thomason, John M. Aronis: Hybridizing Nonmonotonic Inheritance with Theorem Proving. Ann. Math. Artif. Intell. 6(4): 345-365 (1992)
Coauthor Index
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last updated on 2012-12-13 22:37 CET by the dblp team



