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Stephen M. Gordon
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2020 – today
- 2024
- [j6]Stephen M. Gordon
, Bianca Dalangin
Saccade size predicts onset time of object processing during visual search of an open world virtual environment. NeuroImage 298: 120781 (2024) - 2023
- [c21]Stephen M. Gordon, Vernon J. Lawhern, Jonathan Touryan:
Assessing Temporal Variability in Fixation-Locked P300 Responses during Free-Viewing Visual Search. NER 2023: 1-4 - [c20]Stephen M. Gordon, Kevin W. King
Latent State Synchronization in Dyadic Partners using EEG. SMC 2023: 4734-4739 - [c19]Kevin W. King
Granger Leadership in a Novel Dyadic Search Paradigm. SMC 2023: 4889-4894 - [i7]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 abs/2304.09050 (2023) - 2022
- [i6]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 abs/2202.12950 (2022) - 2021
- [c18]Xiaoxi Wei
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. NeurIPS (Competition and Demos) 2021: 205-219 - 2020
- [c17]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: 4020-4025
2010 – 2019
- 2018
- [c16]Jonathan R. McDaniel, Stephen M. Gordon, Amelia J. Solon, Vernon J. Lawhern:
Analyzing P300 Distractors for Target Reconstruction. EMBC 2018: 2543-2546 - [c15]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: 970-975 - [i5]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 abs/1805.04737 (2018) - [i4]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 abs/1805.04740 (2018) - 2017
- [j5]Dongrui Wu
Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR). IEEE Trans. Fuzzy Syst. 25(6): 1522-1535 (2017) - [c14]Stephen M. Gordon, Matthew Jaswa, Amelia J. Solon, Vernon J. Lawhern:
Real World BCI: Cross-Domain Learning and Practical Applications. BCIforReal@IUI 2017: 25-28 - [c13]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 - [i3]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 abs/1702.02901 (2017) - [i2]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 abs/1704.08533 (2017) - 2016
- [c12]Michael W. Nonte, William D. Hairston, Stephen M. Gordon:
Comparing EEG Artifact Detection Methods for Real-World BCI. HCI (13) 2016: 91-101 - [c11]Dongrui Wu
Agreement rate initialized maximum likelihood estimator for ensemble classifier aggregation and its application in brain-computer interface. SMC 2016: 724-729 - [c10]Dongrui Wu
Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression. SMC 2016: 730-736 - [c9]Dongrui Wu
Spectral meta-learner for regression (SMLR) model aggregation: Towards calibrationless brain-computer interface (BCI). SMC 2016: 743-749 - [i1]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 abs/1611.08024 (2016) - 2015
- [c8]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: 63-72 - [c7]Stephen M. Gordon, Jonathan R. McDaniel, Jason S. Metcalfe, Antony D. Passaro:
Using Behavioral Information to Contextualize BCI Performance. HCI (15) 2015: 211-220 - 2013
- [j4]Kaleb McDowell, Chin-Teng Lin
Real-World Neuroimaging Technologies. IEEE Access 1: 131-149 (2013) - [j3]Daniel T. Levin, Stephen S. Killingsworth
Tests of Concepts About Different Kinds of Minds: Predictions About the Behavior of Computers, Robots, and People. Hum. Comput. Interact. 28(2): 161-191 (2013) - [c6]Lenis Mauricio Merino, Jia Meng
A bag-of-words model for task-load prediction from EEG in complex environments. ICASSP 2013: 1227-1231 - 2011
- [c5]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: 467-476 - 2010
- [j2]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): 17-39 (2010) - [c4]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: 130-137
2000 – 2009
- 2009
- [b1]Stephen M. Gordon:
Investigating the cognitive processing of experience for decision making in robots: accounting for internal states and appraisals. Vanderbilt University, Nashville, Tennessee, USA, 2009 - 2008
- [j1]Kazuhiko Kawamura, Stephen M. Gordon, Palis Ratanaswasd, Erdem Erdemir
Implementation of Cognitive Control for a Humanoid Robot. Int. J. Humanoid Robotics 5(4): 547-586 (2008) - [c3]Erdem Erdemir
Towards a cognitive robot that uses internal rehearsal to learn affordance relations. IROS 2008: 2016-2021 - 2005
- [c2]Stephen M. Gordon:
Cognitive mapping from 3-D laser scans for use by humans and robots for localization and navigation. RO-MAN 2005: 402-407 - [c1]Palis Ratanaswasd, Stephen M. Gordon, Will Dodd:
Cognitive control for robot task execution. RO-MAN 2005: 440-445
Coauthor Index
aka: Vernon J. Lawhern
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