Multiple instance and context dependent learning in hyperspectral data. - Peter Torrione; Christopher R. Ratto; Leslie M. Collins (WHISPERS, 2009)

Context-dependent landmine detection with ground-penetrating radar using a Hidden Markov Context Model. - Christopher R. Ratto; Peter Torrione; Kenneth Morton; Leslie M. Collins (IGARSS, 2010)

A hidden Markov context model for GPR-based landmine detection incorporating stick-breaking priors. - Christopher R. Ratto; Kenneth Morton; Leslie M. Collins; Peter Torrione (IGARSS, 2011)

A comparison of principal components and endmember-based contextual learning for hyperspectral anomaly classification. - Christopher R. Ratto; Kenneth D. Morton; Leslie M. Collins; Peter A. Torrione (WHISPERS, 2011)

Exploiting Ground-Penetrating Radar Phenomenology in a Context-Dependent Framework for Landmine Detection and Discrimination. - Christopher R. Ratto; Peter Torrione; Leslie M. Collins (IEEE Trans. Geosci. Remote. Sens., 2011)

Nonparametric Bayesian Context Learning for Buried Threat Detection. - Christopher R. Ratto (2012)

Bayesian Context-Dependent Learning for Anomaly Classification in Hyperspectral Imagery. - Christopher R. Ratto; Kenneth D. Morton; Leslie M. Collins; Peter Torrione (IEEE Trans. Geosci. Remote. Sens., 2014)

Cost-Constrained Feature Optimization in Kernel Machine Classifiers. - Christopher R. Ratto; Carlos A. Caceres; Howard C. Schoeberlein (IEEE Signal Process. Lett., 2015)

Approaches to Zero-Shot stimulus decoding in ECoG and potential BCI Applications. - Christopher R. Ratto; Carlos A. Caceres; Matthew J. Roos; Kyle Rupp; Griffin Milsap; Nathan E. Crone; Michael Wolmetz (GBCIC, 2017)

Feature Selection Methods for Zero-Shot Learning of Neural Activity. - Carlos A. Caceres; Matthew J. Roos; Kyle Rupp; Griffin Milsap; Nathan E. Crone; Michael Wolmetz; Christopher R. Ratto (Frontiers Neuroinformatics, 2017)

Semantic attributes are encoded in human electrocorticographic signals during visual object recognition. - Kyle Rupp; Matthew J. Roos; Griffin Milsap; Carlos A. Caceres; Christopher R. Ratto; Mark A. Chevillet; Nathan E. Crone; Michael Wolmetz (NeuroImage, 2017)

Visual Goal-Directed Meta-Imitation Learning. - Corban G. Rivera; David A. Handelman; Christopher R. Ratto; David Patrone; Bart L. Paulhamus (CVPR Workshops, 2022)

Metrics for Detecting and Characterizing Activities from Heterogeneous Satellite Sensors. - Christopher R. Ratto; Michael T. Kelbaugh; Amit Banerjee; Hirsh R. Goldberg (IGARSS, 2023)

Turing Representational Similarity Analysis (RSA): A Flexible Method for Measuring Alignment Between Human and Artificial Intelligence. - Mattson Ogg; Ritwik Bose; Jamie Scharf; Christopher R. Ratto; Michael Wolmetz (CoRR, 2024)