Christopher R. Ratto

14 papers C 3Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Turing Representational Similarity Analysis (RSA): A Flexible Method for Measuring Alignment Between Human and Artificial Intelligence.
CoRR
Mattson Ogg, Ritwik Bose, Jamie Scharf, Christopher R. Ratto, Michael Wolmetz
2023 C conf
Metrics for Detecting and Characterizing Activities from Heterogeneous Satellite Sensors.
IGARSS
Christopher R. Ratto, Michael T. Kelbaugh, Amit Banerjee, Hirsh R. Goldberg
2022 — conf
Visual Goal-Directed Meta-Imitation Learning.
CVPR Workshops
Corban G. Rivera, David A. Handelman, Christopher R. Ratto, David Patrone, Bart L. Paulhamus
2017 — conf
Approaches to Zero-Shot stimulus decoding in ECoG and potential BCI Applications.
GBCIC
Christopher R. Ratto, Carlos A. Caceres, Matthew J. Roos, Kyle Rupp, Griffin Milsap, Nathan E. Crone, Michael Wolmetz
2017 J jnl
Feature Selection Methods for Zero-Shot Learning of Neural Activity.
Frontiers Neuroinformatics
Carlos A. Caceres, Matthew J. Roos, Kyle Rupp, Griffin Milsap, Nathan E. Crone, Michael Wolmetz, Christopher R. Ratto
2017 J jnl
Semantic attributes are encoded in human electrocorticographic signals during visual object recognition.
NeuroImage
Kyle Rupp, Matthew J. Roos, Griffin Milsap, Carlos A. Caceres, Christopher R. Ratto, Mark A. Chevillet, Nathan E. Crone, Michael Wolmetz
2015 J jnl
Cost-Constrained Feature Optimization in Kernel Machine Classifiers.
IEEE Signal Process. Lett.
Christopher R. Ratto, Carlos A. Caceres, Howard C. Schoeberlein
2014 J jnl
Bayesian Context-Dependent Learning for Anomaly Classification in Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens.
Christopher R. Ratto, Kenneth D. Morton, Leslie M. Collins, Peter Torrione
2012 — —
Nonparametric Bayesian Context Learning for Buried Threat Detection.
Christopher R. Ratto
2011 — conf
A comparison of principal components and endmember-based contextual learning for hyperspectral anomaly classification.
WHISPERS
Christopher R. Ratto, Kenneth D. Morton, Leslie M. Collins, Peter A. Torrione
2011 C conf
A hidden Markov context model for GPR-based landmine detection incorporating stick-breaking priors.
IGARSS
Christopher R. Ratto, Kenneth Morton, Leslie M. Collins, Peter Torrione
2011 J jnl
Exploiting Ground-Penetrating Radar Phenomenology in a Context-Dependent Framework for Landmine Detection and Discrimination.
IEEE Trans. Geosci. Remote. Sens.
Christopher R. Ratto, Peter Torrione, Leslie M. Collins
2010 C conf
Context-dependent landmine detection with ground-penetrating radar using a Hidden Markov Context Model.
IGARSS
Christopher R. Ratto, Peter Torrione, Kenneth Morton, Leslie M. Collins
2009 — conf
Multiple instance and context dependent learning in hyperspectral data.
WHISPERS
Peter Torrione, Christopher R. Ratto, Leslie M. Collins