Coupling time decoding and trajectory decoding using a target-included model in the motor cortex. - Vernon Lawhern; Nicholas G. Hatsopoulos; Wei Wu 006 (Neurocomputing, 2012)

Optimal Feature Selection for Artifact Classification in EEG Time Series. - Vernon Lawhern; W. David Hairston; Kay Robbins (HCI (24), 2013)

Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning. - Zijing Mao; Vernon Lawhern; Lenis Mauricio Merino; Kenneth Ball; Li Deng; Brent J. Lance; Kay Robbins; Yufei Huang 001 (ChinaSIP, 2014)

Transfer learning and active transfer learning for reducing calibration data in single-trial classification of visually-evoked potentials. - Dongrui Wu; Brent Lance; Vernon Lawhern (SMC, 2014)

Reducing BCI calibration effort in RSVP tasks using online weighted adaptation regularization with source domain selection. - Dongrui Wu; Vernon J. Lawhern; Brent J. Lance (ACII, 2015)

How Low Can You Go? Empirically Assessing Minimum Usable DAQ Performance for Highly Fieldable EEG Systems. - W. David Hairston; Vernon Lawhern (HCI (15), 2015)

Target Class Induction through Image Feedback Manipulation in Rapid Serial Visual Presentation Experiments. - Justin Brooks; David Slayback; Benjamin Shih; Amar R. Marathe; Vernon Lawhern; Brent J. Lance (SMC, 2015)

Efficient Labeling of EEG Signal Artifacts Using Active Learning. - Vernon Lawhern; David Slayback; Dongrui Wu; Brent J. Lance (SMC, 2015)

Reducing Offline BCI Calibration Effort Using Weighted Adaptation Regularization with Source Domain Selection. - Dongrui Wu; Vernon J. Lawhern; Brent J. Lance (SMC, 2015)

Collaborative image triage with humans and computer vision. - Addison W. Bohannon; Nicholas R. Waytowich; Vernon J. Lawhern; Brian M. Sadler; Brent J. Lance (SMC, 2016)

Agreement rate initialized maximum likelihood estimator for ensemble classifier aggregation and its application in brain-computer interface. - Dongrui Wu; Vernon J. Lawhern; Stephen M. Gordon; Brent J. Lance; Chin-Teng Lin (SMC, 2016)

Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression. - Dongrui Wu; Vernon J. Lawhern; Stephen M. Gordon; Brent J. Lance; Chin-Teng Lin (SMC, 2016)

Spectral meta-learner for regression (SMLR) model aggregation: Towards calibrationless brain-computer interface (BCI). - Dongrui Wu; Vernon J. Lawhern; Stephen M. Gordon; Brent J. Lance; Chin-Teng Lin (SMC, 2016)

Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction. - Sameer Saproo; Josef Faller; Victor Shih; Paul Sajda; Nicholas R. Waytowich; Addison W. Bohannon; Vernon J. Lawhern; Brent J. Lance; David C. Jangraw (Computer, 2016)

EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces. - Vernon J. Lawhern; Amelia J. Solon; Nicholas R. Waytowich; Stephen M. Gordon; Chou P. Hung; Brent J. Lance (CoRR, 2016)

Real World BCI: Cross-Domain Learning and Practical Applications. - Stephen M. Gordon; Matthew Jaswa; Amelia J. Solon; Vernon J. Lawhern (BCIforReal@IUI, 2017)

Deep Learning Approaches for P300 Classification in Image Triage: Applications to the NAILS Task. - Amelia J. Solon; Stephen M. Gordon; Brent Lance; Vernon Lawhern (NTCIR, 2017)

Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization. - Dongrui Wu; Vernon J. Lawhern; W. David Hairston; Brent J. Lance (CoRR, 2017)

EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features. - Dongrui Wu; Brent J. Lance; Vernon J. Lawhern; Stephen M. Gordon; Tzyy-Ping Jung; Chin-Teng Lin (CoRR, 2017)

Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR). - Dongrui Wu; Vernon J. Lawhern; Stephen M. Gordon; Brent J. Lance; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2017)

Guest Editorial for the Special Section on Brain Computer Interface (BCI). - Dongrui Wu; Brent J. Lance; Vernon J. Lawhern (IEEE Trans. Fuzzy Syst., 2017)

Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. - Garrett Warnell; Nicholas R. Waytowich; Vernon Lawhern; Peter Stone 001 (AAAI, 2018)

Analyzing P300 Distractors for Target Reconstruction. - Jonathan R. McDaniel; Stephen M. Gordon; Amelia J. Solon; Vernon J. Lawhern (EMBC, 2018)

Collaborative Brain-Computer Interface for Human Interest Detection in Complex and Dynamic Settings. - Amelia J. Solon; Stephen M. Gordon; Jonathan R. McDaniel; Vernon Lawhern (SMC, 2018)

Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials. - Nicholas R. Waytowich; Vernon Lawhern; Javier O. Garcia; Jennifer Cummings; Josef Faller; Paul Sajda; Jean M. Vettel (CoRR, 2018)

Cycle-of-Learning for Autonomous Systems from Human Interaction. - Nicholas R. Waytowich; Vinicius G. Goecks; Vernon J. Lawhern (CoRR, 2018)

Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time. - Vinicius G. Goecks; Gregory M. Gremillion; Vernon J. Lawhern; John Valasek; Nicholas R. Waytowich (AAAI, 2019)

Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning. - Nicholas R. Waytowich; Sean L. Barton; Vernon Lawhern; Ethan Stump; Garrett Warnell (CoRR, 2019)

Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments. - Vinicius G. Goecks; Gregory M. Gremillion; Vernon J. Lawhern; John Valasek; Nicholas R. Waytowich (CoRR, 2019)

A Narration-based Reward Shaping Approach using Grounded Natural Language Commands. - Nicholas R. Waytowich; Sean L. Barton; Vernon Lawhern; Garrett Warnell (CoRR, 2019)

Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments. - Vinicius G. Goecks; Gregory M. Gremillion; Vernon J. Lawhern; John Valasek; Nicholas R. Waytowich (AAMAS, 2020)

Modeling the Relationship Between Cognitive State and Task Performance in Passive BCIs using Cross-Dataset Learning. - Jonathan R. McDaniel; Stephen M. Gordon; Vernon J. Lawhern (SMC, 2020)

The Autoregressive Linear Mixture Model: A Time-Series Model for an Instantaneous Mixture of Network Processes. - Addison W. Bohannon; Vernon J. Lawhern; Nicholas R. Waytowich; Radu V. Balan (IEEE Trans. Signal Process., 2020)

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. - 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; et al. (NeurIPS (Competition and Demos), 2021)

Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations. - Ritwik Bera; Vinicius G. Goecks; Gregory M. Gremillion; Vernon J. Lawhern; John Valasek; Nicholas R. Waytowich (CoRR, 2021)

Assessing Temporal Variability in Fixation-Locked P300 Responses during Free-Viewing Visual Search. - Stephen M. Gordon; Vernon J. Lawhern; Jonathan Touryan (NER, 2023)

Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts. - Stephen M. Gordon; Jonathan R. McDaniel; Kevin W. King; Vernon J. Lawhern; Jonathan Touryan (CoRR, 2023)

Rating-Based Reinforcement Learning. - Devin White; Mingkang Wu; Ellen R. Novoseller; Vernon J. Lawhern; Nicholas R. Waytowich; Yongcan Cao (AAAI, 2024)

Scalable Interactive Machine Learning for Future Command and Control. - 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 (ICMCIS, 2024)

Crowd-PrefRL: Preference-Based Reward Learning from Crowds. - David Chhan; Ellen R. Novoseller; Vernon J. Lawhern (CoRR, 2024)

RbRL2.0: Integrated Reward and Policy Learning for Rating-based Reinforcement Learning. - Mingkang Wu; Devin White; Vernon Lawhern; Nicholas R. Waytowich; Yongcan Cao (CoRR, 2025)

Performance Optimization of Ratings-Based Reinforcement Learning. - Evelyn Rose; Devin White; Mingkang Wu; Vernon Lawhern; Nicholas R. Waytowich; Yongcan Cao (CoRR, 2025)

Multi-Task Reward Learning from Human Ratings. - Mingkang Wu; Devin White; Evelyn Rose; Vernon Lawhern; Nicholas R. Waytowich; Yongcan Cao (CoRR, 2025)