S. Gordon

发表

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.

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

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

Brain Structure-function Couplings (FY11)

Reuben H. Kraft, A. Dagro, J. Vettel, 2012 .

Brain Structure-function Couplings ( FY 11 ) by

Reuben H. Kraft, A. Dagro, J. Vettel, 2012 .

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).

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

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

Informed decomposition of electroencephalographic data

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

Confidence-Based State Estimation: A Novel Tool for Test and Evaluation of Human-Systems

Kaleb McDowell, Amar R. Marathe, Stephen Gordon, 2017 .

Real-World Neuroimaging Technologies

Tzyy-Ping Jung, Kaleb McDowell, Chin-Teng Lin, 2013, IEEE Access.

Spectral meta-learner for regression (SMLR) model aggregation: Towards calibrationless brain-computer interface (BCI)

Brent Lance, Dongrui Wu, Chin-Teng Lin, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

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.

Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression

Brent Lance, Dongrui Wu, Chin-Teng Lin, 2018, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Comparing parametric and nonparametric methods for detecting phase synchronization in EEG

Manuel M. Vindiola, P. J. Franaszczuk, S. M. Gordon, 2013, Journal of Neuroscience Methods.

Decoding P300 Variability Using Convolutional Neural Networks

Anthony J. Ries, Stephen M. Gordon, Jonathan Touryan, 2019, bioRxiv.

Collaborative Brain-Computer Interface for Human Interest Detection in Complex and Dynamic Settings

Stephen M. Gordon, Vernon Lawhern, Amelia J. Solon, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

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).

Deep Learning Approaches for P300 Classification in Image Triage: Applications to the NAILS Task

Amelia J. Solon, V. Lawhern, S. Gordon, 2017, NTCIR.

Applying EEG phase synchronization measures to non-linearly coupled neural mass models

Manuel M. Vindiola, P.J. Franaszczuk, M.M. Vindiola, 2014, Journal of Neuroscience Methods.

EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features

Dongrui Wu, Chin-Teng Lin, Tzyy-Ping Jung, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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

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