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Journal Articles
- 2018
[j3]Elizabeth Perez Reilly, Jeffrey S. Garretson, William R. Gray Roncal, Dean M. Kleissas, Brock A. Wester, Mark A. Chevillet, Matthew J. Roos:
Neural Reconstruction Integrity: A Metric for Assessing the Connectivity Accuracy of Reconstructed Neural Networks. Frontiers Neuroinformatics 12: 74 (2018)- 2017
- [j2]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) - [j1]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)
Conference and Workshop Papers
- 2023
- [c3]Raphael Norman-Tenazas, David Kleinberg, Erik C. Johnson, Daniel P. Lathrop, Matthew J. Roos:
Using Evolutionary Computation to Optimize Task Performance of Unclocked, Recurrent Boolean Circuits in FPGAs. ACSSC 2023: 1564-1568 - [c2]Raphael Norman-Tenazas
, Isaac Western, Gautam K. Vallabha, Matthew J. Roos, Erik C. Johnson, Brian S. Robinson:
Enabling local learning for generative-replay-based continual learning with a recurrent model of the insect memory center. ICONS 2023: 25:1-25:7 - 2017
- [c1]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
Informal and Other Publications
- 2024
- [i4]Raphael Norman-Tenazas, David Kleinberg, Erik C. Johnson, Daniel P. Lathrop, Matthew J. Roos:
Using evolutionary computation to optimize task performance of unclocked, recurrent Boolean circuits in FPGAs. CoRR abs/2403.13105 (2024) - 2023
- [i3]Erik C. Johnson, Brian S. Robinson, Gautam K. Vallabha, Justin Joyce, Jordan K. Matelsky, Raphael Norman-Tenazas, Isaac Western, Marisel Villafañe-Delgado, Martha Cervantes, Michael S. Robinette, Arun V. Reddy, Lindsey Kitchell, Patricia K. Rivlin, Elizabeth Perez Reilly, Nathan Drenkow, Matthew J. Roos, I-Jeng Wang, Brock A. Wester, William R. Gray Roncal, Joan A. Hoffmann:
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence. CoRR abs/2305.17300 (2023) - 2020
- [i2]Matthew J. Roos:
Utilizing a null class to restrict decision spaces and defend against neural network adversarial attacks. CoRR abs/2002.10084 (2020) - 2016
- [i1]Kimberly Glasgow, Matthew J. Roos, Amy J. Haufler, Mark A. Chevillet, Michael Wolmetz:
Evaluating semantic models with word-sentence relatedness. CoRR abs/1603.07253 (2016)
Coauthor Index
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