Vernon Lawhern

Publication Activity (10 Years)

Years Active: 2012-2019
Publications (10 Years): 10

Top Topics

Evoked Potentials

Frequency Ranges

Top Venues

Publications

Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Garrett Warnell
A Narration-based Reward Shaping Approach using Grounded Natural Language Commands. CoRR (2019)
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 (2019)
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)
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 (2018)
Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. AAAI (2018)
Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. CoRR (2017)
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)
W. David Hairston, Vernon Lawhern
How Low Can You Go? Empirically Assessing Minimum Usable DAQ Performance for Highly Fieldable EEG Systems. HCI (15) (2015)
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)
Vernon Lawhern, David Slayback, Dongrui Wu, Brent J. Lance
Efficient Labeling of EEG Signal Artifacts Using Active Learning. SMC (2015)
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)
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)
Vernon Lawhern, W. David Hairston, Kay Robbins
Optimal Feature Selection for Artifact Classification in EEG Time Series. HCI (24) (2013)
Vernon Lawhern, Nicholas G. Hatsopoulos, Wei Wu
Coupling time decoding and trajectory decoding using a target-included model in the motor cortex. Neurocomputing 82 (2012)