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Books and Theses
- 2012
[b1]Christopher R. Ratto:
Nonparametric Bayesian Context Learning for Buried Threat Detection. Duke University, Durham, NC, USA, 2012
Journal Articles
- 2017
- [j5]Carlos A. Caceres, Matthew J. Roos, Kyle Rupp, Griffin Milsap, Nathan E. Crone, Michael Wolmetz, Christopher R. Ratto:
Feature Selection Methods for Zero-Shot Learning of Neural Activity. Frontiers Neuroinformatics 11: 41 (2017) - [j4]Kyle Rupp, Matthew J. Roos, Griffin Milsap, Carlos A. Caceres, Christopher R. Ratto, Mark A. Chevillet, Nathan E. Crone, Michael Wolmetz:
Semantic attributes are encoded in human electrocorticographic signals during visual object recognition. NeuroImage 148: 318-329 (2017) - 2015
- [j3]Christopher R. Ratto, Carlos A. Caceres, Howard C. Schoeberlein:
Cost-Constrained Feature Optimization in Kernel Machine Classifiers. IEEE Signal Process. Lett. 22(12): 2469-2473 (2015) - 2014
- [j2]Christopher R. Ratto, Kenneth D. Morton
, Leslie M. Collins, Peter Torrione:
Bayesian Context-Dependent Learning for Anomaly Classification in Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 52(4): 1969-1981 (2014) - 2011
- [j1]Christopher R. Ratto, Peter Torrione, Leslie M. Collins:
Exploiting Ground-Penetrating Radar Phenomenology in a Context-Dependent Framework for Landmine Detection and Discrimination. IEEE Trans. Geosci. Remote. Sens. 49(5): 1689-1700 (2011)
Conference and Workshop Papers
- 2023
- [c7]Christopher R. Ratto, Michael T. Kelbaugh, Amit Banerjee, Hirsh R. Goldberg:
Metrics for Detecting and Characterizing Activities from Heterogeneous Satellite Sensors. IGARSS 2023: 1189-1192 - 2022
- [c6]Corban G. Rivera, David A. Handelman, Christopher R. Ratto, David Patrone, Bart L. Paulhamus:
Visual Goal-Directed Meta-Imitation Learning. CVPR Workshops 2022: 3766-3772 - 2017
- [c5]Christopher R. Ratto, Carlos A. Caceres, Matthew J. Roos, Kyle Rupp, Griffin Milsap, Nathan E. Crone, Michael Wolmetz:
Approaches to Zero-Shot stimulus decoding in ECoG and potential BCI Applications. GBCIC 2017 - 2011
- [c4]Christopher R. Ratto, Kenneth Morton, Leslie M. Collins, Peter Torrione:
A hidden Markov context model for GPR-based landmine detection incorporating stick-breaking priors. IGARSS 2011: 874-877 - [c3]Christopher R. Ratto, Kenneth D. Morton, Leslie M. Collins, Peter A. Torrione:
A comparison of principal components and endmember-based contextual learning for hyperspectral anomaly classification. WHISPERS 2011: 1-4 - 2010
- [c2]Christopher R. Ratto, Peter Torrione, Kenneth Morton, Leslie M. Collins:
Context-dependent landmine detection with ground-penetrating radar using a Hidden Markov Context Model. IGARSS 2010: 4192-4195 - 2009
- [c1]Peter Torrione, Christopher R. Ratto, Leslie M. Collins:
Multiple instance and context dependent learning in hyperspectral data. WHISPERS 2009: 1-4
Coauthor Index
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