Genetic Programming Bibliography entries for Andrew J Novobilski

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GP coauthors/coeditors: Jeffrey A Kline, Christopher Kabrhel, Peter B Richman, D Mark Courtney, Farhad A Kamangar, Francis M Fesmire, David Sonnemaker, Rachel Palmiero,

Genetic Programming Articles by Andrew J Novobilski

• Jeffrey A. Kline and Andrew J. Novobilski and Christopher Kabrhel and Peter B. Richman and D. Mark Courtney. Derivation and Validation of a Bayesian Network to Predict Pretest Probability of Venous Thromboembolism. Annals of Emergency Medicine, 45(3):282-290, 2005. details

Genetic Programming PhD doctoral thesis Andrew J Novobilski

• Andrew John Novobilski. Forecasting of Time Series Data Using Naturally Selected Bayesian Networks. PhD thesis, University of Texas at Arlington, USA, 2000. details

Genetic Programming conference papers by Andrew J Novobilski

1. Andrew J. Novobilski and Francis M. Fesmire and Rachel Palmiero. The Impact of Software Instrumentation on Clinical Evaluations. In Cihan H. Dagli and Anna L. Buczak and David L. Enke and Mark Embrechts and Okan Ersoy editors, ANNIE 2006, Intelligent Engineering Systems through Artificial Neural Networks, volume 16, St. Louis, MO, USA, 2006. details

2. Andrew J. Novobilski and Francis M. Fesmire and David Sonnemaker. Mining Bayesian Networks to Forecast Adverse Outcomes Related to Acute Coronary Syndrome. In Valerie Barr and Zdravko Markov editors, Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, Miami Beach, Florida, USA, 2004. AAAI Press. details

3. Andy Novobilski and Farhad Kamangar. Bayesian Learning with Selective Subsets of Populations in Genetic Programming. In Cihan H. Dagli and Anna L. Buczak and Joydeep Ghosh and Mark J. Embrechts and Okan Ersoy and Stephen W. Kercel editors, ANNIE 2002, Smart Engineering System Design, volume 12, St. Louis, Missouri, USA, 2002. details

4. Andy Novobilski and Farhad A. Kamangar. Absolute Percent Error Based Fitness Functions for Evolving Forecast Models. In Ingrid Russell and John F. Kolen editors, Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, pages 591-595, Key West, Florida, USA, 2001. AAAI Press. details

5. Andrew J. Novobilski and Farhad A. Kamangar. A Two Tiered Cognitive Model for the Forecasting of Time Series Data. In Second International ICSC Symposium on Neural Computation, Berlin, Germany, 2000. NAISO Academic Press. details

6. Andrew J. Novobilski and Farhad A. Kamangar. Inferencing Bayesian Networks from Time Series Data Using Natural Selection. In James N. Etheredge and Bill Z. Manaris editors, Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference, pages 298-302, Orlando, Florida, USA, 2000. AAAI Press. details