A novel pattern learning and classification procedure applied to the learning of vowels. - John Burge; Frederick Hayes-Roth (ICASSP, 1976)

Network Structures for Distributed Situation Assessment. - Robert B. Wesson; Frederick Hayes-Roth; John Burge; Cathleen Stasz; Carl A. Sunshine (IEEE Trans. Syst. Man Cybern., 1981)

V-Lab-a virtual laboratory for autonomous agents-SLA-based learning controllers. - Aly I. El-Osery; John Burge; Mohammad Jamshidi 001; Antony Saba; Madjid Fathi; Mohammad R. Akbarzadeh-Totonchi (IEEE Trans. Syst. Man Cybern. Part B, 2002)

Learning class-discriminative dynamic Bayesian networks. - John Burge; Terran Lane (ICML, 2005)

Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies. - John Burge; Terran Lane (ECML, 2006)

Shrinkage Estimator for Bayesian Network Parameters. - John Burge; Terran Lane (ECML, 2007)

Learning DFA representations of HTTP for protecting web applications. - Kenneth L. Ingham; Anil Somayaji; John Burge; Stephanie Forrest (Comput. Networks, 2007)

Hybrid ICA-Bayesian network approach reveals distinct effective connectivity differences in schizophrenia. - D. Kim; John Burge; Terran Lane; Godfrey D. Pearlson; Kent A. Kiehl; Vincent D. Calhoun (NeuroImage, 2008)

Machine Learning for Precipitation Nowcasting from Radar Images. - Shreya Agrawal; Luke Barrington; Carla Bromberg; John Burge; Cenk Gazen; Jason Hickey (CoRR, 2019)

Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data. - Fantine Huot; R. Lily Hu; Matthias Ihme; Qing Wang 032; John Burge; Tianjian Lu; Jason Hickey; Yi-Fan Chen; John R. Anderson (CoRR, 2020)

Convolutional LSTM Neural Networks for Modeling Wildland Fire Dynamics. - John Burge; Matthew Bonanni; Matthias Ihme; R. Lily Hu (CoRR, 2020)

Recurrent Convolutional Deep Neural Networks for Modeling Time-Resolved Wildfire Spread Behavior. - John Burge; Matthew R. Bonanni; R. Lily Hu; Matthias Ihme (CoRR, 2022)