Christopher R. Ratto

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 6

Top Venues

IEEE Signal Process. Lett.

Frontiers Neuroinformatics

NeuroImage

IEEE Trans. Geosci. Remote. Sens.

Duke University, Durham, NC, USA (PHD)

Education History

Duke University, Durham, NC, USA

PHD

Publications

Christopher R. Ratto, Michael T. Kelbaugh, Amit Banerjee, Hirsh R. Goldberg
Metrics for Detecting and Characterizing Activities from Heterogeneous Satellite Sensors. IGARSS (2023)
Corban G. Rivera, David A. Handelman, Christopher R. Ratto, David Patrone, Bart L. Paulhamus
Visual Goal-Directed Meta-Imitation Learning. CVPR Workshops (2022)
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 (2017)
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 (2017)
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)
Christopher R. Ratto, Carlos A. Caceres, Howard C. Schoeberlein
Cost-Constrained Feature Optimization in Kernel Machine Classifiers. IEEE Signal Process. Lett. 22 (12) (2015)
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) (2014)
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)
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) (2011)
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)
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)
Peter Torrione, Christopher R. Ratto, Leslie M. Collins
Multiple instance and context dependent learning in hyperspectral data. WHISPERS (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christopher R. Ratto