Vernon J. Lawhern

发表

DETECT: Detection of Events in Continuous Time Toolbox: Users Guide, Examples, and Function Reference Documentation

W. David Hairston, Kay A. Robbins, Vernon J. Lawhern, 2013 .

Gaze-Informed Multi-Objective Imitation Learning from Human Demonstrations pdf

John Valasek, Vinicius G. Goecks, Nicholas R. Waytowich, 2021, ArXiv.

A Permutation Test for Unbalanced Paired Comparisons of Global Field Power

Anthony J. Ries, Amar R. Marathe, Benjamin T. Files, 2016, Brain Topography.

Isolating Discriminant Neural Activity in the Presence of Eye Movements and Concurrent Task Demands

Jon Touryan, Anthony J. Ries, Nima Bigdely-Shamlo, 2017, Front. Hum. Neurosci..

EEGNet: A Compact Convolutional Neural Network for EEG-based Brain-Computer Interfaces

Stephen M. Gordon, Nicholas R. Waytowich, Chou P. Hung, 2021 .

Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction

Brent Lance, David C. Jangraw, Paul Sajda, 2016, Computer.

Improved Neural Signal Classification in a Rapid Serial Visual Presentation Task Using Active Learning

Dongrui Wu, Amar R. Marathe, Brent J. Lance, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Reducing BCI calibration effort in RSVP tasks using online weighted adaptation regularization with source domain selection

Brent Lance, Dongrui Wu, Vernon Lawhern, 2015, 2015 International Conference on Affective Computing and Intelligent Interaction (ACII).

The effect of target and non-target similarity on neural classification performance: a boost from confidence

Anthony J. Ries, Kaleb McDowell, Amar R. Marathe, 2015, Front. Neurosci..

Coupling time decoding and trajectory decoding using a target-included model in the motor cortex

Wei Wu, Nicholas G. Hatsopoulos, Vernon Lawhern, 2012, Neurocomputing.

Population decoding of motor cortical activity using a generalized linear model with hidden states

Liam Paninski, Nicholas Hatsopoulos, Wei Wu, 2010, Journal of Neuroscience Methods.

Statistical Modelling and Applications of Neural Spike Trains

Vernon Lawhern, Vernon J. Lawhern, 2011 .

Informed decomposition of electroencephalographic data

S. M. Gordon, K. McDowell, Vernon J. Lawhern, 2015, Journal of Neuroscience Methods.

Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)

Brent Lance, Dongrui Wu, Chin-Teng Lin, 2017, IEEE Transactions on Fuzzy Systems.

EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces

Brent Lance, Stephen M. Gordon, Vernon Lawhern, 2016, Journal of neural engineering.

Analyzing P300 Distractors for Target Reconstruction

Stephen M. Gordon, Vernon Lawhern, Amelia J. Solon, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Rating-based Reinforcement Learning

Nicholas R. Waytowich, Vernon J. Lawhern, Ellen R. Novoseller, 2023, AAAI.

How Low Can You Go? Empirically Assessing Minimum Usable DAQ Performance for Highly Fieldable EEG Systems

W. David Hairston, Vernon Lawhern, Vernon J. Lawhern, 2015, HCI.

A novel method linking neural connectivity to behavioral fluctuations: Behavior-regressed connectivity

Jean M. Vettel, Piotr J. Franaszczuk, Stephen M. Gordon, 2016, Journal of Neuroscience Methods.

A Permutation Test for Unbalanced Paired Comparisons of Global Field Power

Anthony J. Ries, Amar R. Marathe, Benjamin T. Files, 2016, Brain Topography.

Imitation Learning with Human Eye Gaze via Multi-Objective Prediction

Vinicius G. Goecks, Nicholas R. Waytowich, Vernon J. Lawhern, 2021, 2102.13008.

Gaze Regularized Imitation Learning: Learning Continuous Control from Human Gaze

Vinicius G. Goecks, Nicholas R. Waytowich, Vernon J. Lawhern, 2023 .

The Autoregressive Linear Mixture Model: A Time-Series Model for an Instantaneous Mixture of Network Processes

Radu V. Balan, Addison W. Bohannon, Nicholas R. Waytowich, 2020, IEEE Transactions on Signal Processing.

Efficient Labeling of EEG Signal Artifacts Using Active Learning

Brent Lance, Dongrui Wu, Vernon Lawhern, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization

Vernon J. Lawhern, Brent Lance, Dongrui Wu, 2016, IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

Detecting alpha spindle events in EEG time series using adaptive autoregressive models

Vernon J. Lawhern, V. Lawhern, K. Robbins, 2013, BMC Neuroscience.

Scalable Interactive Machine Learning for Future Command and Control

Vinicius G. Goecks, Benjamin T. Files, Nicholas R. Waytowich, 2024, 2024 International Conference on Military Communication and Information Systems (ICMCIS).

Detection and classification of subject-generated artifacts in EEG signals using autoregressive models

Kaleb McDowell, W. David Hairston, Kay Robbins, 2012, Journal of Neuroscience Methods.

DETECT: A MATLAB Toolbox for Event Detection and Identification in Time Series, with Applications to Artifact Detection in EEG Signals

W. David Hairston, Kay Robbins, Vernon Lawhern, 2013, PloS one.

Real World BCI: Cross-Domain Learning and Practical Applications

Stephen M. Gordon, Matthew Jaswa, Vernon Lawhern, 2017, BCIforReal '17.

Target Class Induction through Image Feedback Manipulation in Rapid Serial Visual Presentation Experiments

Brent Lance, Amar R. Marathe, Benjamin Shih, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments

Vinicius G. Goecks, Nicholas R. Waytowich, Gregory M. Gremillion, 2019, AAMAS.

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets

Vernon J. Lawhern, V. Lawhern, N. Laskaris, 2022, NeurIPS.

Agreement rate initialized maximum likelihood estimator for ensemble classifier aggregation and its application in brain-computer interface

Vernon J. Lawhern, V. Lawhern, S. Gordon, 2018, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces

Peter Stone, Garrett Warnell, Vernon Lawhern, 2017, AAAI.

Crowd-PrefRL: Preference-Based Reward Learning from Crowds

Vernon J. Lawhern, Ellen R. Novoseller, David Chhan, 2024, ArXiv.

Decoding neural activity to assess individual latent state in ecologically valid contexts

Jonathan R. McDaniel, Vernon J. Lawhern, J. Touryan, 2023, Journal of neural engineering.

Transfer learning and active transfer learning for reducing calibration data in single-trial classification of visually-evoked potentials

Brent Lance, Dongrui Wu, Vernon Lawhern, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time

John Valasek, Vinicius G. Goecks, Vernon Lawhern, 2018, AAAI.

Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials

Paul Sajda, Josef Faller, Jean M. Vettel, 2018, Journal of neural engineering.