Cognitive mapping from 3-D laser scans for use by humans and robots for localization and navigation. - Stephen M. Gordon (RO-MAN, 2005)

Cognitive control for robot task execution. - Palis Ratanaswasd; Stephen M. Gordon; Will Dodd (RO-MAN, 2005)

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 (IROS, 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)

Investigating the cognitive processing of experience for decision making in robots: accounting for internal states and appraisals. - Stephen M. Gordon (2009)

Heterogeneous artificial agents for triage nurse assistance. - D. Mitchell Wilkes; Stan Franklin; Erdem Erdemir; Stephen M. Gordon; Steve Strain; Karen Miller; Kazuhiko Kawamura (Humanoids, 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)

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 (ACII (2), 2011)

A bag-of-words model for task-load prediction from EEG in complex environments. - Lenis Mauricio Merino; Jia Meng 001; Stephen M. Gordon; Brent J. Lance; Tony Johnson; Victor Paul; Kay Robbins; Jean M. Vettel; Yufei Huang 001 (ICASSP, 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)

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)

Using Behavioral Information to Contextualize BCI Performance. - Stephen M. Gordon; Jonathan R. McDaniel; Jason S. Metcalfe; Antony D. Passaro (HCI (15), 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 (HCI (15), 2015)

Comparing EEG Artifact Detection Methods for Real-World BCI. - Michael W. Nonte; William D. Hairston; Stephen M. Gordon (HCI (13), 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 (SMC, 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 (SMC, 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 (SMC, 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)

Real World BCI: Cross-Domain Learning and Practical Applications. - Stephen M. Gordon; Matthew Jaswa; Amelia J. Solon; Vernon J. Lawhern (BCIforReal@IUI, 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 (NTCIR, 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)

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)

Analyzing P300 Distractors for Target Reconstruction. - Jonathan R. McDaniel; Stephen M. Gordon; Amelia J. Solon; Vernon J. Lawhern (EMBC, 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 (SMC, 2018)

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 (SMC, 2020)

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; et al. (NeurIPS (Competition and Demos), 2021)

Assessing Temporal Variability in Fixation-Locked P300 Responses during Free-Viewing Visual Search. - Stephen M. Gordon; Vernon J. Lawhern; Jonathan Touryan (NER, 2023)

Latent State Synchronization in Dyadic Partners using EEG. - Stephen M. Gordon; Kevin W. King; Ashley Rabin (SMC, 2023)

Granger Leadership in a Novel Dyadic Search Paradigm. - Kevin W. King; Stephen M. Gordon; Ashley Rabin (SMC, 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)

Saccade size predicts onset time of object processing during visual search of an open world virtual environment. - Stephen M. Gordon; Bianca Dalangin; Jonathan Touryan (NeuroImage, 2024)

Hybrid Team Tetris: A New Platform For Hybrid Multi-Agent, Multi-Human Teaming. - Kaleb McDowell; Nicholas R. Waytowich; Javier O. Garcia; Stephen M. Gordon; Bryce Bartlett; Jeremy Gaston (CoRR, 2025)