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ORCIDVernon Lawhern
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2020 – today
- 2024
[c24]Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao
:
Rating-Based Reinforcement Learning. AAAI 2024: 10207-10215- [c23]Anna Madison, Ellen R. Novoseller, Vinicius G. Goecks, Benjamin T. Files, Nicholas R. Waytowich, Alfred Yu, Vernon J. Lawhern, Steven Thurman, Christopher Kelshaw, Kaleb McDowell:
Scalable Interactive Machine Learning for Future Command and Control. ICMCIS 2024: 1-10 - [i19]David Chhan, Ellen R. Novoseller, Vernon J. Lawhern:
Crowd-PrefRL: Preference-Based Reward Learning from Crowds. CoRR abs/2401.10941 (2024) - [i18]Anna Madison, Ellen R. Novoseller, Vinicius G. Goecks, Benjamin T. Files, Nicholas R. Waytowich, Alfred Yu, Vernon J. Lawhern, Steven Thurman, Christopher Kelshaw, Kaleb McDowell:
Scalable Interactive Machine Learning for Future Command and Control. CoRR abs/2402.06501 (2024) - 2023
- [c22]Stephen M. Gordon, Vernon J. Lawhern, Jonathan Touryan:
Assessing Temporal Variability in Fixation-Locked P300 Responses during Free-Viewing Visual Search. NER 2023: 1-4 - [i17]Stephen M. Gordon, Jonathan R. McDaniel, Kevin W. King, Vernon J. Lawhern, Jonathan Touryan:
Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts. CoRR abs/2304.09050 (2023) - [i16]Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao:
Rating-based Reinforcement Learning. CoRR abs/2307.16348 (2023) - 2022
- [i15]Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk:
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. CoRR abs/2202.12950 (2022) - 2021
- [c21]Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk:
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. NeurIPS (Competition and Demos) 2021: 205-219 - [i14]Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich:
Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations. CoRR abs/2102.13008 (2021) - 2020
- [j5]Addison W. Bohannon, Vernon J. Lawhern, Nicholas R. Waytowich, Radu V. Balan:
The Autoregressive Linear Mixture Model: A Time-Series Model for an Instantaneous Mixture of Network Processes. IEEE Trans. Signal Process. 68: 4481-4496 (2020) - [c20]Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich:
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments. AAMAS 2020: 465-473 - [c19]Jonathan R. McDaniel, Stephen M. Gordon, Vernon J. Lawhern:
Modeling the Relationship Between Cognitive State and Task Performance in Passive BCIs using Cross-Dataset Learning. SMC 2020: 4020-4025
2010 – 2019
- 2019
- [c18]Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich:
Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. AAAI 2019: 2462-2470 - [i13]Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Ethan Stump, Garrett Warnell:
Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning. CoRR abs/1906.02671 (2019) - [i12]Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich:
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments. CoRR abs/1910.04281 (2019) - [i11]Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Garrett Warnell:
A Narration-based Reward Shaping Approach using Grounded Natural Language Commands. CoRR abs/1911.00497 (2019) - 2018
- [c17]Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone:
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. AAAI 2018: 1545-1554 - [c16]Jonathan R. McDaniel, Stephen M. Gordon, Amelia J. Solon, Vernon J. Lawhern:
Analyzing P300 Distractors for Target Reconstruction. EMBC 2018: 2543-2546 - [c15]Amelia J. Solon, Stephen M. Gordon, Jonathan R. McDaniel, Vernon Lawhern:
Collaborative Brain-Computer Interface for Human Interest Detection in Complex and Dynamic Settings. SMC 2018: 970-975 - [i10]Nicholas R. Waytowich, Vernon Lawhern, Javier O. Garcia, Jennifer Cummings, Josef Faller, Paul Sajda, Jean M. Vettel:
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials. CoRR abs/1803.04566 (2018) - [i9]Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin:
Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode Active Learning (EBMAL) for Regression. CoRR abs/1805.04737 (2018) - [i8]Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin:
Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface. CoRR abs/1805.04740 (2018) - [i7]Nicholas R. Waytowich, Vinicius G. Goecks, Vernon J. Lawhern:
Cycle-of-Learning for Autonomous Systems from Human Interaction. CoRR abs/1808.09572 (2018) - [i6]Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich:
Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. CoRR abs/1810.11545 (2018) - 2017
- [j4]Dongrui Wu, Brent J. Lance, Vernon J. Lawhern:
Guest Editorial for the Special Section on Brain Computer Interface (BCI). IEEE Trans. Fuzzy Syst. 25(1): 1-2 (2017) - [j3]Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin:
Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR). IEEE Trans. Fuzzy Syst. 25(6): 1522-1535 (2017) - [c14]Stephen M. Gordon, Matthew Jaswa, Amelia J. Solon, Vernon J. Lawhern:
Real World BCI: Cross-Domain Learning and Practical Applications. BCIforReal@IUI 2017: 25-28 - [c13]Amelia J. Solon, Stephen M. Gordon, Brent Lance, Vernon Lawhern:
Deep Learning Approaches for P300 Classification in Image Triage: Applications to the NAILS Task. NTCIR 2017 - [i5]Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin:
Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR). CoRR abs/1702.02901 (2017) - [i4]Dongrui Wu, Vernon J. Lawhern, W. David Hairston, Brent J. Lance:
Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization. CoRR abs/1702.02906 (2017) - [i3]Dongrui Wu, Brent J. Lance, Vernon J. Lawhern, Stephen M. Gordon, Tzyy-Ping Jung, Chin-Teng Lin:
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features. CoRR abs/1704.08533 (2017) - [i2]Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone:
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. CoRR abs/1709.10163 (2017) - 2016
- [j2]Sameer Saproo, Josef Faller, Victor Shih, Paul Sajda, Nicholas R. Waytowich, Addison W. Bohannon, Vernon J. Lawhern, Brent J. Lance, David C. Jangraw:
Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction. Computer 49(9): 60-68 (2016) - [c12]Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin:
Agreement rate initialized maximum likelihood estimator for ensemble classifier aggregation and its application in brain-computer interface. SMC 2016: 724-729 - [c11]Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin:
Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression. SMC 2016: 730-736 - [c10]Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin:
Spectral meta-learner for regression (SMLR) model aggregation: Towards calibrationless brain-computer interface (BCI). SMC 2016: 743-749 - [c9]Addison W. Bohannon, Nicholas R. Waytowich, Vernon J. Lawhern, Brian M. Sadler, Brent J. Lance:
Collaborative image triage with humans and computer vision. SMC 2016: 4046-4051 - [i1]Vernon J. Lawhern, Amelia J. Solon, Nicholas R. Waytowich, Stephen M. Gordon, Chou P. Hung, Brent J. Lance:
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces. CoRR abs/1611.08024 (2016) - 2015
- [c8]Dongrui Wu, Vernon J. Lawhern, Brent J. Lance:
Reducing BCI calibration effort in RSVP tasks using online weighted adaptation regularization with source domain selection. ACII 2015: 567-573 - [c7]W. David Hairston, Vernon Lawhern:
How Low Can You Go? Empirically Assessing Minimum Usable DAQ Performance for Highly Fieldable EEG Systems. HCI (15) 2015: 221-231 - [c6]Justin Brooks, David Slayback, Benjamin Shih, Amar R. Marathe, Vernon Lawhern, Brent J. Lance:
Target Class Induction through Image Feedback Manipulation in Rapid Serial Visual Presentation Experiments. SMC 2015: 1047-1052 - [c5]Dongrui Wu, Vernon J. Lawhern, Brent J. Lance:
Reducing Offline BCI Calibration Effort Using Weighted Adaptation Regularization with Source Domain Selection. SMC 2015: 3209-3216 - [c4]Vernon Lawhern, David Slayback, Dongrui Wu, Brent J. Lance:
Efficient Labeling of EEG Signal Artifacts Using Active Learning. SMC 2015: 3217-3222 - 2014
- [c3]Zijing Mao, Vernon Lawhern, Lenis Mauricio Merino, Kenneth Ball, Li Deng, Brent J. Lance, Kay Robbins, Yufei Huang:
Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning. ChinaSIP 2014: 520-524 - [c2]Dongrui Wu, Brent Lance, Vernon Lawhern:
Transfer learning and active transfer learning for reducing calibration data in single-trial classification of visually-evoked potentials. SMC 2014: 2801-2807 - 2013
- [c1]Vernon Lawhern, W. David Hairston, Kay Robbins:
Optimal Feature Selection for Artifact Classification in EEG Time Series. HCI (24) 2013: 326-334 - 2012
- [j1]Vernon Lawhern, Nicholas G. Hatsopoulos, Wei Wu:
Coupling time decoding and trajectory decoding using a target-included model in the motor cortex. Neurocomputing 82: 117-126 (2012)
Coauthor Index
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