| 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 | 1546 | 2018 |
| Deep tamer: Interactive agent shaping in high-dimensional state spaces G Warnell, N Waytowich, V Lawhern, P Stone Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 196 | 2018 |
| 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 | 137 | 2016 |
| 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 | 129 | 2018 |
| 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 | 70 | 2016 |
| Integrating behavior cloning and reinforcement learning for improved performance in dense and sparse reward environments VG Goecks, GM Gremillion, VJ Lawhern, J Valasek, NR Waytowich arXiv preprint arXiv:1910.04281, 2019 | 51 | 2019 |
| 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 (01), 2462-2470, 2019 | 33 | 2019 |
| 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 | 32 | 2016 |
| 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 | 27 | 2016 |
| 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 | 27 | 2010 |
| 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 | 25 | 2018 |
| Eco-friendly management of chilli anthracnose (Colletotrichum capsici). MM Rashid, MH Kabir, MM Hossain, MR Bhuiyan, MAI Khan International Journal of Plant Pathology 6 (1), 1-11, 2015 | 24 | 2015 |
| Measuring collaborative emergent behavior in multi-agent reinforcement learning SL Barton, NR Waytowich, E Zaroukian, DE Asher Human Systems Engineering and Design: Proceedings of the 1st International …, 2019 | 23 | 2019 |
| Spatial decoupling of targets and flashing stimuli for visual brain–computer interfaces N Waytowich, D Krusienski Journal of Neural Engineering 12 (3), 2015 | 22 | 2015 |
| 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 | 20 | 2016 |
| 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 | 18 | 2010 |
| 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 | 16 | 2019 |
| Cycle-of-learning for autonomous systems from human interaction NR Waytowich, VG Goecks, VJ Lawhern arXiv preprint arXiv:1808.09572, 2018 | 16 | 2018 |
| Energy-efficient hardware for language guided reinforcement learning A Shiri, AN Mazumder, B Prakash, NK Manjunath, H Homayoun, A Sasan, ... Proceedings of the 2020 on Great Lakes Symposium on VLSI, 131-136, 2020 | 15 | 2020 |
| 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 | 15 | 2019 |
Vernon J. LawhernArmy Research LaboratoryBestätigte E-Mail-Adresse bei mail.mil
