Stephen M. Gordon

37 papers A 1B 9Misc 1Journal 14Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Fostering Positive Interactions Through Psychological Ownership in Intelligent Systems. HCI (82) Bianca Dalangin, Stephen M. Gordon, Heather Roy, Catherine Neubauer
2025	J	`jnl`	Hybrid Team Tetris: A New Platform For Hybrid Multi-Agent, Multi-Human Teaming. CoRR Kaleb McDowell, Nicholas R. Waytowich, Javier O. Garcia, Stephen M. Gordon, Bryce Bartlett, Jeremy Gaston
2024	J	`jnl`	Saccade size predicts onset time of object processing during visual search of an open world virtual environment. NeuroImage Stephen M. Gordon, Bianca Dalangin, Jonathan Touryan
2023	—	`conf`	Assessing Temporal Variability in Fixation-Locked P300 Responses during Free-Viewing Visual Search. NER Stephen M. Gordon, Vernon J. Lawhern, Jonathan Touryan
2023	J	`jnl`	Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts. CoRR Stephen M. Gordon, Jonathan R. McDaniel, Kevin W. King, Vernon J. Lawhern, Jonathan Touryan
2023	B	`conf`	Granger Leadership in a Novel Dyadic Search Paradigm. SMC Kevin W. King, Stephen M. Gordon, Ashley Rabin
2023	B	`conf`	Latent State Synchronization in Dyadic Partners using EEG. SMC Stephen M. Gordon, Kevin W. King, Ashley Rabin
2022	J	`jnl`	2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. CoRR 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	—	`conf`	2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. NeurIPS (Competition and Demos) 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
2020	B	`conf`	Modeling the Relationship Between Cognitive State and Task Performance in Passive BCIs using Cross-Dataset Learning. SMC Jonathan R. McDaniel, Stephen M. Gordon, Vernon J. Lawhern
2018	J	`jnl`	Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface. CoRR Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
2018	—	`conf`	Analyzing P300 Distractors for Target Reconstruction. EMBC Jonathan R. McDaniel, Stephen M. Gordon, Amelia J. Solon, Vernon J. Lawhern
2018	B	`conf`	Collaborative Brain-Computer Interface for Human Interest Detection in Complex and Dynamic Settings. SMC Amelia J. Solon, Stephen M. Gordon, Jonathan R. McDaniel, Vernon Lawhern
2018	J	`jnl`	Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode Active Learning (EBMAL) for Regression. CoRR Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
2017	—	`conf`	Deep Learning Approaches for P300 Classification in Image Triage: Applications to the NAILS Task. NTCIR Amelia J. Solon, Stephen M. Gordon, Brent Lance, Vernon Lawhern
2017	J	`jnl`	Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR). IEEE Trans. Fuzzy Syst. Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
2017	J	`jnl`	Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR). CoRR Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
2017	J	`jnl`	EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features. CoRR Dongrui Wu, Brent J. Lance, Vernon J. Lawhern, Stephen M. Gordon, Tzyy-Ping Jung, Chin-Teng Lin
2017	—	`conf`	Real World BCI: Cross-Domain Learning and Practical Applications. BCIforReal@IUI Stephen M. Gordon, Matthew Jaswa, Amelia J. Solon, Vernon J. Lawhern
2016	B	`conf`	Agreement rate initialized maximum likelihood estimator for ensemble classifier aggregation and its application in brain-computer interface. SMC Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
2016	—	`conf`	Comparing EEG Artifact Detection Methods for Real-World BCI. HCI (13) Michael W. Nonte, William D. Hairston, Stephen M. Gordon
2016	J	`jnl`	EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces. CoRR Vernon J. Lawhern, Amelia J. Solon, Nicholas R. Waytowich, Stephen M. Gordon, Chou P. Hung, Brent J. Lance
2016	B	`conf`	Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression. SMC Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
2016	B	`conf`	Spectral meta-learner for regression (SMLR) model aggregation: Towards calibrationless brain-computer interface (BCI). SMC Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin
2015	—	`conf`	Towards a Translational Method for Studying the Influence of Motivational and Affective Variables on Performance During Human-Computer Interactions. HCI (15) Jason S. Metcalfe, Stephen M. Gordon, Antony D. Passaro, Bret Kellihan, Kelvin S. Oie
2015	—	`conf`	Using Behavioral Information to Contextualize BCI Performance. HCI (15) Stephen M. Gordon, Jonathan R. McDaniel, Jason S. Metcalfe, Antony D. Passaro
2013	Misc	`conf`	A bag-of-words model for task-load prediction from EEG in complex environments. ICASSP Lenis Mauricio Merino, Jia Meng, Stephen M. Gordon, Brent J. Lance, Tony Johnson, Victor Paul, Kay Robbins, Jean M. Vettel, Yufei Huang
2013	J	`jnl`	Real-World Neuroimaging Technologies. IEEE Access 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
2013	J	`jnl`	Tests of Concepts About Different Kinds of Minds: Predictions About the Behavior of Computers, Robots, and People. Hum. Comput. Interact. Daniel T. Levin, Stephen S. Killingsworth, Megan M. Saylor, Stephen M. Gordon, Kazuhiko Kawamura
2011	—	`conf`	Classifying High-Noise EEG in Complex Environments for Brain-Computer Interaction Technologies. ACII (2) Brent Lance, Stephen M. Gordon, Jean M. Vettel, Tony Johnson, Victor Paul, Chris Manteuffel, Matthew Jaswa, Kelvin S. Oie
2010	—	`conf`	Heterogeneous artificial agents for triage nurse assistance. Humanoids D. Mitchell Wilkes, Stan Franklin, Erdem Erdemir, Stephen M. Gordon, Steve Strain, Karen Miller, Kazuhiko Kawamura
2010	J	`jnl`	Neuromorphically Inspired Appraisal-Based Decision Making in a Cognitive Robot. IEEE Trans. Auton. Ment. Dev. Stephen M. Gordon, Kazuhiko Kawamura, D. Mitchell Wilkes
2009	—	`—`	Investigating the cognitive processing of experience for decision making in robots: accounting for internal states and appraisals. Stephen M. Gordon
2008	J	`jnl`	Implementation of Cognitive Control for a Humanoid Robot. Int. J. Humanoid Robotics Kazuhiko Kawamura, Stephen M. Gordon, Palis Ratanaswasd, Erdem Erdemir, Joseph F. Hall
2008	A	`conf`	Towards a cognitive robot that uses internal rehearsal to learn affordance relations. IROS Erdem Erdemir, Carl B. Frankel, Kazuhiko Kawamura, Stephen M. Gordon, Sean Thornton, Baris Ulutas
2005	B	`conf`	Cognitive control for robot task execution. RO-MAN Palis Ratanaswasd, Stephen M. Gordon, Will Dodd
2005	B	`conf`	Cognitive mapping from 3-D laser scans for use by humans and robots for localization and navigation. RO-MAN Stephen M. Gordon