Stephen M. Gordon

According to our database, Stephen M. Gordon authored at least 30 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts.

Stephen M. Gordon, Jonathan R. McDaniel, Kevin W. King, Vernon J. Lawhern, Jonathan Touryan

CoRR, 2023

Granger Leadership in a Novel Dyadic Search Paradigm.

Kevin W. King, Stephen M. Gordon, Ashley Rabin

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Latent State Synchronization in Dyadic Partners using EEG.

Stephen M. Gordon, Kevin W. King, Ashley Rabin

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Assessing Temporal Variability in Fixation-Locked P300 Responses during Free-Viewing Visual Search.

Stephen M. Gordon, Vernon J. Lawhern, Jonathan Touryan

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2021

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

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2020

Modeling the Relationship Between Cognitive State and Task Performance in Passive BCIs using Cross-Dataset Learning.

Jonathan R. McDaniel, Stephen M. Gordon, Vernon J. Lawhern

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2018

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

Amelia J. Solon, Stephen M. Gordon, Jonathan R. McDaniel, Vernon Lawhern

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Analyzing P300 Distractors for Target Reconstruction.

Jonathan R. McDaniel, Stephen M. Gordon, Amelia J. Solon, Vernon J. Lawhern

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

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

Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin

IEEE Trans. Fuzzy Syst., 2017

EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features.

Dongrui Wu, Brent J. Lance, Vernon J. Lawhern, Stephen M. Gordon, Tzyy-Ping Jung, Chin-Teng Lin

CoRR, 2017

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

Amelia J. Solon, Stephen M. Gordon, Brent Lance, Vernon Lawhern

Proceedings of the 13th NTCIR Conference, 2017

Real World BCI: Cross-Domain Learning and Practical Applications.

Stephen M. Gordon, Matthew Jaswa, Amelia J. Solon, Vernon J. Lawhern

Proceedings of the 2017 ACM Workshop on An Application-oriented Approach to BCI out of the laboratory, 2017

2016

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

Vernon J. Lawhern, Amelia J. Solon, Nicholas R. Waytowich, Stephen M. Gordon, Chou P. Hung, Brent J. Lance

CoRR, 2016

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

Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin

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.

Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin

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.

Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Comparing EEG Artifact Detection Methods for Real-World BCI.

Michael W. Nonte, William D. Hairston, Stephen M. Gordon

Proceedings of the Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience, 2016

2015

Towards a Translational Method for Studying the Influence of Motivational and Affective Variables on Performance During Human-Computer Interactions.

Jason S. Metcalfe, Stephen M. Gordon, Antony D. Passaro, Bret Kellihan, Kelvin S. Oie

Proceedings of the Foundations of Augmented Cognition, 2015

Using Behavioral Information to Contextualize BCI Performance.

Stephen M. Gordon, Jonathan R. McDaniel, Jason S. Metcalfe, Antony D. Passaro

Proceedings of the Foundations of Augmented Cognition, 2015

2013

Tests of Concepts About Different Kinds of Minds: Predictions About the Behavior of Computers, Robots, and People.

Daniel T. Levin, Stephen S. Killingsworth, Megan M. Saylor, Stephen M. Gordon, Kazuhiko Kawamura

Hum. Comput. Interact., 2013

Real-World Neuroimaging Technologies.

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

IEEE Access, 2013

A bag-of-words model for task-load prediction from EEG in complex environments.

Lenis Mauricio Merino, Jia Meng, Stephen M. Gordon, Brent J. Lance, Tony Johnson, Victor Paul, Kay Robbins, Jean M. Vettel, Yufei Huang

Proceedings of the IEEE International Conference on Acoustics, 2013

2011

Classifying High-Noise EEG in Complex Environments for Brain-Computer Interaction Technologies.

Brent Lance, Stephen M. Gordon, Jean M. Vettel, Tony Johnson, Victor Paul, Chris Manteuffel, Matthew Jaswa, Kelvin S. Oie

Proceedings of the Affective Computing and Intelligent Interaction, 2011

2010

Neuromorphically Inspired Appraisal-Based Decision Making in a Cognitive Robot.

Stephen M. Gordon, Kazuhiko Kawamura, D. Mitchell Wilkes

IEEE Trans. Auton. Ment. Dev., 2010

Heterogeneous artificial agents for triage nurse assistance.

D. Mitchell Wilkes, Stan Franklin, Erdem Erdemir, Stephen M. Gordon, Steve Strain, Karen Miller, Kazuhiko Kawamura

Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

2009

Investigating the cognitive processing of experience for decision making in robots: accounting for internal states and appraisals.

Stephen M. Gordon

PhD thesis, 2009

2008

Implementation of Cognitive Control for a Humanoid Robot.

Kazuhiko Kawamura, Stephen M. Gordon, Palis Ratanaswasd, Erdem Erdemir, Joseph F. Hall

Int. J. Humanoid Robotics, 2008

Towards a cognitive robot that uses internal rehearsal to learn affordance relations.

Erdem Erdemir, Carl B. Frankel, Kazuhiko Kawamura, Stephen M. Gordon, Sean Thornton, Baris Ulutas

Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

2005

Cognitive control for robot task execution.

Palis Ratanaswasd, Stephen M. Gordon, Will Dodd

Proceedings of the IEEE International Workshop on Robot and Human Interactive Communication, 2005

Cognitive mapping from 3-D laser scans for use by humans and robots for localization and navigation.

Stephen M. Gordon

Proceedings of the IEEE International Workshop on Robot and Human Interactive Communication, 2005