| 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), 2018 | 4940 | 2018 |
| Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces G Warnell, N Waytowich, V Lawhern, P Stone Thirty-Second AAAI Conference on Artificial Intelligence, 1545-1553, 2018 | 374 | 2018 |
| Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials NR Waytowich, VJ Lawhern, JO Garcia, J Cummings, J Faller, P Sajda, ... Journal of neural engineering 15 (6), 2018 | 291 | 2018 |
| Detection and classification of subject-generated artifacts in EEG signals using autoregressive models V Lawhern, WD Hairston, K McDowell, M Westerfield, K Robbins Journal of neuroscience methods 208 (2), 181-189, 2012 | 190 | 2012 |
| 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 Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 138 | 2020 |
| Driver drowsiness estimation from EEG signals using online weighted adaptation regularization for regression (OwARR) D Wu, VJ Lawhern, S Gordon, BJ Lance, CT Lin IEEE Transactions on Fuzzy Systems 25 (6), 1522-1535, 2016 | 130 | 2016 |
| Population decoding of motor cortical activity using a generalized linear model with hidden states V Lawhern, W Wu, N Hatsopoulos, L Paninski Journal of neuroscience methods 189 (2), 267-280, 2010 | 112 | 2010 |
| 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 | 100 | 2016 |
| Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization D Wu, V Lawhern, D Hairston, B Lance IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016 | 74 | 2016 |
| Detecting alpha spindle events in EEG time series using adaptive autoregressive models V Lawhern, S Kerick, KA Robbins BMC neuroscience 14 (1), 101, 2013 | 74 | 2013 |
| DETECT: A MATLAB toolbox for event detection and identification in time series, with applications to artifact detection in EEG signals V Lawhern, WD Hairston, K Robbins PloS one 8 (4), e62944, 2013 | 70 | 2013 |
| Improved neural signal classification in a rapid serial visual presentation task using active learning A Marathe, V Lawhern, D Wu, D Slayback, B Lance IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (3 …, 2015 | 69 | 2015 |
| EEG-based user reaction time estimation using Riemannian geometry features D Wu, BJ Lance, VJ Lawhern, S Gordon, TP Jung, CT Lin IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (11 …, 2017 | 67 | 2017 |
| Transfer learning and active transfer learning for reducing calibration data in single-trial classification of visually-evoked potentials D Wu, B Lance, V Lawhern 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014 | 64 | 2014 |
| Single-trial EEG RSVP classification using convolutional neural networks J Shamwell, H Lee, H Kwon, AR Marathe, V Lawhern, W Nothwang Micro-and nanotechnology sensors, systems, and applications VIII 9836, 373-382, 2016 | 54 | 2016 |
| 2021 BEETL competition: Advancing transfer learning for subject independence and heterogenous EEG data sets X Wei, AA Faisal, M Grosse-Wentrup, A Gramfort, S Chevallier, V Jayaram, ... NeurIPS 2021 Competitions and Demonstrations Track, 205-219, 2022 | 50 | 2022 |
| The effect of target and non-target similarity on neural classification performance: a boost from confidence AR Marathe, AJ Ries, VJ Lawhern, BJ Lance, J Touryan, K McDowell, ... Frontiers in neuroscience 9, 270, 2015 | 50 | 2015 |
| 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 Thirty-Third AAAI Conference on Artificial Intelligence 33 (1), 2462-2470, 2019 | 49 | 2019 |
| Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression D Wu, VJ Lawhern, S Gordon, BJ Lance, CT Lin 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 41 | 2016 |
| Reducing offline BCI calibration effort using weighted adaptation regularization with source domain selection D Wu, VJ Lawhern, BJ Lance 2015 IEEE international conference on systems, man, and cybernetics, 3209-3216, 2015 | 39 | 2015 |
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