Vernon Lawhern
Orcid: 0000-0002-3921-8723
According to our database1,
Vernon Lawhern
authored at least 40 papers
between 2012 and 2024.
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Bibliography
2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts.
CoRR, 2023
Assessing Temporal Variability in Fixation-Locked P300 Responses during Free-Viewing Visual Search.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
2021
CoRR, 2021
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
2020
The Autoregressive Linear Mixture Model: A Time-Series Model for an Instantaneous Mixture of Network Processes.
IEEE Trans. Signal Process., 2020
Modeling the Relationship Between Cognitive State and Task Performance in Passive BCIs using Cross-Dataset Learning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
2019
CoRR, 2019
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments.
CoRR, 2019
Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning.
CoRR, 2019
Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials.
CoRR, 2018
Collaborative Brain-Computer Interface for Human Interest Detection in Complex and Dynamic Settings.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Fuzzy Syst., 2017
Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR).
IEEE Trans. Fuzzy Syst., 2017
CoRR, 2017
Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization.
CoRR, 2017
Deep Learning Approaches for P300 Classification in Image Triage: Applications to the NAILS Task.
Proceedings of the 13th NTCIR Conference, 2017
Proceedings of the 2017 ACM Workshop on An Application-oriented Approach to BCI out of the laboratory, 2017
2016
CoRR, 2016
Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction.
Computer, 2016
Spectral meta-learner for regression (SMLR) model aggregation: Towards calibrationless brain-computer interface (BCI).
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Agreement rate initialized maximum likelihood estimator for ensemble classifier aggregation and its application in brain-computer interface.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
2015
Reducing Offline BCI Calibration Effort Using Weighted Adaptation Regularization with Source Domain Selection.
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Target Class Induction through Image Feedback Manipulation in Rapid Serial Visual Presentation Experiments.
Proceedings of the 2015 IEEE International Conference on Systems, 2015
How Low Can You Go? Empirically Assessing Minimum Usable DAQ Performance for Highly Fieldable EEG Systems.
Proceedings of the Foundations of Augmented Cognition, 2015
Reducing BCI calibration effort in RSVP tasks using online weighted adaptation regularization with source domain selection.
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015
2014
Transfer learning and active transfer learning for reducing calibration data in single-trial classification of visually-evoked potentials.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014
2013
Proceedings of the Foundations of Augmented Cognition, 2013
2012
Coupling time decoding and trajectory decoding using a target-included model in the motor cortex.
Neurocomputing, 2012