Stephen M. Gordon

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 22

Top Topics

Transfer Learning

Ensemble Classifier

Top Venues

Publications

Stephen M. Gordon, Bianca Dalangin, Jonathan Touryan
Saccade size predicts onset time of object processing during visual search of an open world virtual environment. NeuroImage 298 (2024)
Stephen M. Gordon, Jonathan R. McDaniel, Kevin W. King, Vernon J. Lawhern, Jonathan Touryan
Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts. CoRR (2023)
Kevin W. King, Stephen M. Gordon, Ashley Rabin
Granger Leadership in a Novel Dyadic Search Paradigm. SMC (2023)
Stephen M. Gordon, Kevin W. King, Ashley Rabin
Latent State Synchronization in Dyadic Partners using EEG. SMC (2023)
Stephen M. Gordon, Vernon J. Lawhern, Jonathan Touryan
Assessing Temporal Variability in Fixation-Locked P300 Responses during Free-Viewing Visual Search. NER (2023)
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, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. CoRR (2022)
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, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. NeurIPS (Competition and Demos) (2021)
Jonathan R. McDaniel, Stephen M. Gordon, Vernon J. Lawhern
Modeling the Relationship Between Cognitive State and Task Performance in Passive BCIs using Cross-Dataset Learning. SMC (2020)
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)
Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode Active Learning (EBMAL) for Regression. CoRR (2018)
Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface. CoRR (2018)
Jonathan R. McDaniel, Stephen M. Gordon, Amelia J. Solon, Vernon J. Lawhern
Analyzing P300 Distractors for Target Reconstruction. EMBC (2018)
Stephen M. Gordon, Matthew Jaswa, Amelia J. Solon, Vernon J. Lawhern
Real World BCI: Cross-Domain Learning and Practical Applications. BCIforReal@IUI (2017)
Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR). CoRR (2017)
Dongrui Wu, Brent J. Lance, Vernon J. Lawhern, Stephen M. Gordon, Tzyy-Ping Jung, Chin-Teng Lin
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features. CoRR (2017)
Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR). IEEE Trans. Fuzzy Syst. 25 (6) (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)
Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
Spectral meta-learner for regression (SMLR) model aggregation: Towards calibrationless brain-computer interface (BCI). SMC (2016)
Michael W. Nonte, William D. Hairston, Stephen M. Gordon
Comparing EEG Artifact Detection Methods for Real-World BCI. HCI (13) (2016)
Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
Agreement rate initialized maximum likelihood estimator for ensemble classifier aggregation and its application in brain-computer interface. SMC (2016)
Vernon J. Lawhern, Amelia J. Solon, Nicholas R. Waytowich, Stephen M. Gordon, Chou P. Hung, Brent J. Lance
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces. CoRR (2016)
Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression. SMC (2016)
Jason S. Metcalfe, Stephen M. Gordon, Antony D. Passaro, Bret Kellihan, Kelvin S. Oie
Towards a Translational Method for Studying the Influence of Motivational and Affective Variables on Performance During Human-Computer Interactions. HCI (15) (2015)
Stephen M. Gordon, Jonathan R. McDaniel, Jason S. Metcalfe, Antony D. Passaro
Using Behavioral Information to Contextualize BCI Performance. HCI (15) (2015)
Lenis Mauricio Merino, Jia Meng, Stephen M. Gordon, Brent J. Lance, Tony Johnson, Victor Paul, Kay Robbins, Jean M. Vettel, Yufei Huang
A bag-of-words model for task-load prediction from EEG in complex environments. ICASSP (2013)
Daniel T. Levin, Stephen S. Killingsworth, Megan M. Saylor, Stephen M. Gordon, Kazuhiko Kawamura
Tests of Concepts About Different Kinds of Minds: Predictions About the Behavior of Computers, Robots, and People. Hum. Comput. Interact. 28 (2) (2013)
Kaleb McDowell, Chin-Teng Lin, Kelvin S. Oie, Tzyy-Ping Jung, Stephen M. Gordon, Keith W. Whitaker, Shih-Yu Li, Shao-Wei Lu, W. David Hairston
Real-World Neuroimaging Technologies. IEEE Access 1 (2013)
Brent Lance, Stephen M. Gordon, Jean M. Vettel, Tony Johnson, Victor Paul, Chris Manteuffel, Matthew Jaswa, Kelvin S. Oie
Classifying High-Noise EEG in Complex Environments for Brain-Computer Interaction Technologies. ACII (2) (2011)
Stephen M. Gordon, Kazuhiko Kawamura, D. Mitchell Wilkes
Neuromorphically Inspired Appraisal-Based Decision Making in a Cognitive Robot. IEEE Trans. Auton. Ment. Dev. 2 (1) (2010)
D. Mitchell Wilkes, Stan Franklin, Erdem Erdemir, Stephen M. Gordon, Steve Strain, Karen Miller, Kazuhiko Kawamura
Heterogeneous artificial agents for triage nurse assistance. Humanoids (2010)
Kazuhiko Kawamura, Stephen M. Gordon, Palis Ratanaswasd, Erdem Erdemir, Joseph F. Hall
Implementation of Cognitive Control for a Humanoid Robot. Int. J. Humanoid Robotics 5 (4) (2008)
Erdem Erdemir, Carl B. Frankel, Kazuhiko Kawamura, Stephen M. Gordon, Sean Thornton, Baris Ulutas
Towards a cognitive robot that uses internal rehearsal to learn affordance relations. IROS (2008)
Stephen M. Gordon
Cognitive mapping from 3-D laser scans for use by humans and robots for localization and navigation. RO-MAN (2005)
Palis Ratanaswasd, Stephen M. Gordon, Will Dodd
Cognitive control for robot task execution. RO-MAN (2005)