Nicholas Waytowich
Nicholas Waytowich
AI Research Scientist, U.S. Army Research Laboratory; Columbia University
Verified email at mail.mil - Homepage
Title
Cited by
Cited by
Year
EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
VJ Lawhern, AJ Solon, NR Waytowich, SM Gordon, CP Hung, BJ Lance
Journal of neural engineering 15 (5), 056013, 2018
3832018
Discriminative feature extraction via multivariate linear regression for SSVEP-based BCI
H Wang, Y Zhang, NR Waytowich, DJ Krusienski, G Zhou, J Jin, X Wang, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (5 …, 2016
982016
Deep tamer: Interactive agent shaping in high-dimensional state spaces
G Warnell, N Waytowich, V Lawhern, P Stone
arXiv preprint arXiv:1709.10163, 2017
842017
Spectral transfer learning using information geometry for a user-independent brain-computer interface
NR Waytowich, VJ Lawhern, AW Bohannon, KR Ball, BJ Lance
Frontiers in neuroscience 10, 430, 2016
472016
Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials
N Waytowich, VJ Lawhern, JO Garcia, J Cummings, J Faller, P Sajda, ...
Journal of neural engineering 15 (6), 066031, 2018
372018
Robot application of a brain computer interface to staubli tx40 robots-early stages
N Waytowich, A Henderson, D Krusienski, D Cox
2010 World Automation Congress, 1-6, 2010
222010
Optimization of checkerboard spatial frequencies for steady-state visual evoked potential brain–computer interfaces
NR Waytowich, Y Yamani, DJ Krusienski
IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (6 …, 2016
172016
Spatial decoupling of targets and flashing stimuli for visual brain–computer interfaces
N Waytowich, D Krusienski
Journal of Neural Engineering 12 (3), 2015
172015
Efficiently combining human demonstrations and interventions for safe training of autonomous systems in real-time
VG Goecks, GM Gremillion, VJ Lawhern, J Valasek, NR Waytowich
Proceedings of the AAAI Conference on Artificial Intelligence 33, 2462-2470, 2019
142019
Unsupervised adaptive transfer learning for steady-state visual evoked potential brain-computer interfaces
NR Waytowich, J Faller, JO Garcia, JM Vettel, P Sajda
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
142016
Cortically coupled computing: A new paradigm for synergistic human-machine interaction
S Saproo, J Faller, V Shih, P Sajda, NR Waytowich, A Bohannon, ...
Computer 49 (9), 60-68, 2016
132016
Measuring collaborative emergent behavior in multi-agent reinforcement learning
SL Barton, NR Waytowich, E Zaroukian, DE Asher
International Conference on Human Systems Engineering and Design: Future …, 2018
122018
Extending the discrete selection capabilities of the P300 speller to goal-oriented robotic arm control
GD Johnson, NR Waytowich, DJ Cox, DJ Krusienski
2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and …, 2010
122010
Multiclass steady-state visual evoked potential frequency evaluation using chirp-modulated stimuli
NR Waytowich, DJ Krusienski
IEEE Transactions on Human-Machine Systems 46 (4), 593-600, 2016
82016
Energy efficient convolutional neural networks for EEG artifact detection
M Khatwani, M Hosseini, H Paneliya, T Mohsenin, WD Hairston, ...
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2018
72018
On the use of deep autoencoders for efficient embedded reinforcement learning
B Prakash, M Horton, NR Waytowich, WD Hairston, T Oates, T Mohsenin
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 507-512, 2019
62019
Improving safety in reinforcement learning using model-based architectures and human intervention
B Prakash, M Khatwani, N Waytowich, T Mohsenin
arXiv preprint arXiv:1903.09328, 2019
62019
A low complexity automated multi-channel EEG artifact detection using EEGNet
M Khatwani, WD Hairston, N Waytowich, T Mohsenin
Proceedings of the IEEE EMBS Conference on Neural Engineering. IEEE, 2019
62019
Cycle-of-learning for autonomous systems from human interaction
NR Waytowich, VG Goecks, VJ Lawhern
arXiv preprint arXiv:1808.09572, 2018
62018
Collaborative image triage with humans and computer vision
AW Bohannon, NR Waytowich, VJ Lawhern, BM Sadler, BJ Lance
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
62016
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Articles 1–20