Vernon J. Lawhern

36 papers A* 2A 1B 7Journal 21Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MO-Playground: Massively Parallelized Multi-Objective Reinforcement Learning for Robotics. CoRR Neil C. Janwani, Ellen R. Novoseller, Vernon J. Lawhern, Maegan Tucker
2025	J	`jnl`	R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations. CoRR Connor Mattson, Varun Raveendra, Ellen R. Novoseller, Nicholas R. Waytowich, Vernon J. Lawhern, Daniel S. Brown
2024	J	`jnl`	Crowd-PrefRL: Preference-Based Reward Learning from Crowds. CoRR David Chhan, Ellen R. Novoseller, Vernon J. Lawhern
2024	A*	`conf`	Rating-Based Reinforcement Learning. AAAI Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao
2024	—	`conf`	Scalable Interactive Machine Learning for Future Command and Control. ICMCIS 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
2024	J	`jnl`	Scalable Interactive Machine Learning for Future Command and Control. CoRR 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
2023	—	`conf`	Assessing Temporal Variability in Fixation-Locked P300 Responses during Free-Viewing Visual Search. NER Stephen M. Gordon, Vernon J. Lawhern, Jonathan Touryan
2023	J	`jnl`	Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts. CoRR Stephen M. Gordon, Jonathan R. McDaniel, Kevin W. King, Vernon J. Lawhern, Jonathan Touryan
2023	J	`jnl`	Rating-based Reinforcement Learning. CoRR Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao
2022	J	`jnl`	2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. CoRR 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	—	`conf`	2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. NeurIPS (Competition and Demos) 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	J	`jnl`	Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations. CoRR Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
2020	A	`conf`	Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments. AAMAS Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
2020	B	`conf`	Modeling the Relationship Between Cognitive State and Task Performance in Passive BCIs using Cross-Dataset Learning. SMC Jonathan R. McDaniel, Stephen M. Gordon, Vernon J. Lawhern
2020	J	`jnl`	The Autoregressive Linear Mixture Model: A Time-Series Model for an Instantaneous Mixture of Network Processes. IEEE Trans. Signal Process. Addison W. Bohannon, Vernon J. Lawhern, Nicholas R. Waytowich, Radu V. Balan
2019	A*	`conf`	Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. AAAI Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
2019	J	`jnl`	Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments. CoRR Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
2018	J	`jnl`	Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface. CoRR Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
2018	—	`conf`	Analyzing P300 Distractors for Target Reconstruction. EMBC Jonathan R. McDaniel, Stephen M. Gordon, Amelia J. Solon, Vernon J. Lawhern
2018	J	`jnl`	Cycle-of-Learning for Autonomous Systems from Human Interaction. CoRR Nicholas R. Waytowich, Vinicius G. Goecks, Vernon J. Lawhern
2018	J	`jnl`	Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. CoRR Vinicius G. Goecks, Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich
2018	J	`jnl`	Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode Active Learning (EBMAL) for Regression. CoRR Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
2017	J	`jnl`	Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR). IEEE Trans. Fuzzy Syst. Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
2017	J	`jnl`	Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR). CoRR Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
2017	J	`jnl`	EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features. CoRR Dongrui Wu, Brent J. Lance, Vernon J. Lawhern, Stephen M. Gordon, Tzyy-Ping Jung, Chin-Teng Lin
2017	J	`jnl`	Guest Editorial for the Special Section on Brain Computer Interface (BCI). IEEE Trans. Fuzzy Syst. Dongrui Wu, Brent J. Lance, Vernon J. Lawhern
2017	—	`conf`	Real World BCI: Cross-Domain Learning and Practical Applications. BCIforReal@IUI Stephen M. Gordon, Matthew Jaswa, Amelia J. Solon, Vernon J. Lawhern
2017	J	`jnl`	Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization. CoRR Dongrui Wu, Vernon J. Lawhern, W. David Hairston, Brent J. Lance
2016	B	`conf`	Agreement rate initialized maximum likelihood estimator for ensemble classifier aggregation and its application in brain-computer interface. SMC Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
2016	B	`conf`	Collaborative image triage with humans and computer vision. SMC Addison W. Bohannon, Nicholas R. Waytowich, Vernon J. Lawhern, Brian M. Sadler, Brent J. Lance
2016	J	`jnl`	Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction. Computer Sameer Saproo, Josef Faller, Victor Shih, Paul Sajda, Nicholas R. Waytowich, Addison W. Bohannon, Vernon J. Lawhern, Brent J. Lance, David C. Jangraw
2016	J	`jnl`	EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces. CoRR Vernon J. Lawhern, Amelia J. Solon, Nicholas R. Waytowich, Stephen M. Gordon, Chou P. Hung, Brent J. Lance
2016	B	`conf`	Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression. SMC Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
2016	B	`conf`	Spectral meta-learner for regression (SMLR) model aggregation: Towards calibrationless brain-computer interface (BCI). SMC Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
2015	B	`conf`	Reducing BCI calibration effort in RSVP tasks using online weighted adaptation regularization with source domain selection. ACII Dongrui Wu, Vernon J. Lawhern, Brent J. Lance
2015	B	`conf`	Reducing Offline BCI Calibration Effort Using Weighted Adaptation Regularization with Source Domain Selection. SMC Dongrui Wu, Vernon J. Lawhern, Brent J. Lance