Stephen M. Gordon

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All published works

Action	Title	Year	Authors
+ PDF Chat	Decoding neural activity to assess individual latent state in ecologically valid contexts	2023	Stephen M. Gordon Jonathan R. McDaniel Kevin King Vernon J. Lawhern Jonathan Touryan
+	Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts	2023	Stephen M. Gordon Jonathan R. McDaniel Kevin King Vernon J. Lawhern Jonathan Touryan
+	2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets	2022	Xiaoxi Wei A. Aldo Faisal Moritz Grosse‐Wentrup Alexandre Gramfort Sylvain Chevallier Vinay Jayaram Camille Jeunet Stylianos Bakas Siegfried Ludwig Konstantinos Barmpas
+ PDF Chat	Collaborative Brain-Computer Interface for Human Interest Detection in Complex and Dynamic Settings	2018	Amelia J. Solon Stephen M. Gordon Jonathan R. McDaniel Vernon J. Lawhern
+ PDF Chat	Analyzing P300 Distractors for Target Reconstruction	2018	Jonathan R. McDaniel Stephen M. Gordon Amelia J. Solon Vernon J. Lawhern
+ PDF Chat	EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces	2018	Vernon J. Lawhern Amelia J. Solon Nicholas R. Waytowich Stephen M. Gordon Chou P. Hung Brent J. Lance
+	Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface	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	2018	Dongrui Wu Vernon J. Lawhern Stephen M. Gordon Brent J. Lance Chin‐Teng Lin
+ PDF Chat	EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features	2017	Dongrui Wu Brent J. Lance Vernon J. Lawhern Stephen M. Gordon Tzyy‐Ping Jung Chin‐Teng Lin
+	A novel method linking neural connectivity to behavioral fluctuations: Behavior-regressed connectivity	2017	Antony D. Passaro Jean M. Vettel Jonathan R. McDaniel Vernon J. Lawhern Piotr J. Franaszczuk Stephen M. Gordon
+	EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features	2017	Dongrui Wu Brent J. Lance Vernon J. Lawhern Stephen M. Gordon Tzyy‐Ping Jung Chin‐Teng Lin
+ PDF Chat	Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)	2016	Dongrui Wu Vernon J. Lawhern Stephen M. Gordon Brent J. Lance Chin‐Teng Lin
+ PDF Chat	Agreement rate initialized maximum likelihood estimator for ensemble classifier aggregation and its application in brain-computer interface	2016	Dongrui Wu Vernon J. Lawhern Stephen M. Gordon Brent J. Lance Chin‐Teng Lin
+ PDF Chat	Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression	2016	Dongrui Wu Vernon J. Lawhern Stephen M. Gordon Brent J. Lance Chin‐Teng Lin
+	A novel method linking neural connectivity to behavioral fluctuations: Behavior-Regressed Connectivity	2016	Antony D. Passaro Jean M. Vettel Jonathan R. McDaniel Vernon J. Lawhern Piotr J. Franaszczuk Stephen M. Gordon
+	Some effects of incentives on the performance of imbeciles on a repetitive task.	1955	Stephen M. Gordon N. O’Connor Jack Tizard

Common Coauthors

Coauthor	Papers Together
Vernon J. Lawhern	15
Brent J. Lance	8
Dongrui Wu	7
Chin‐Teng Lin	7
Jonathan R. McDaniel	6
Amelia J. Solon	3
Piotr J. Franaszczuk	2
Kevin King	2
Jean M. Vettel	2
Tzyy‐Ping Jung	2
Antony D. Passaro	2
Jonathan Touryan	2
Piotr Tempczyk	1
Vinay Jayaram	1
Camille Jeunet	1
Vincent Rouanne	1
Nicholas R. Waytowich	1
N. O’Connor	1
Stefanos Zafeiriou	1
Siegfried Ludwig	1
William C. Duong	1
Chou P. Hung	1
Stylianos Bakas	1
Xiaoxi Wei	1
Sylvain Chevallier	1
Maciej Śliwowski	1
Alexandre Gramfort	1
A. Aldo Faisal	1
Jack Tizard	1
Nikolaos Laskaris	1
Dimitrios A. Adamos	1
Mehdi Bahri	1
Moritz Grosse‐Wentrup	1
Konstantinos Barmpas	1
Yannis Panagakis	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Multiple Comparisons Using Rank Sums	1964	Olive Jean Dunn	6
+ PDF Chat	Multiple Comparisons among Means	1961	Olive Jean Dunn	6
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	6
+ PDF Chat	Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization	2016	Dongrui Wu Vernon J. Lawhern W. David Hairston Brent J. Lance	5
+ PDF Chat	Brain–Computer Interface Technologies in the Coming Decades	2012	Brent J. Lance Scott E. Kerick Anthony J. Ries Kelvin S. Oie Kaleb McDowell	4
+ PDF Chat	Ranking and combining multiple predictors without labeled data	2014	Fabio Parisi Francesco Strino Boaz Nadler Yuval Kluger	3
+ PDF Chat	EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces	2018	Vernon J. Lawhern Amelia J. Solon Nicholas R. Waytowich Stephen M. Gordon Chou P. Hung Brent J. Lance	3
+ PDF Chat	Analyzing P300 Distractors for Target Reconstruction	2018	Jonathan R. McDaniel Stephen M. Gordon Amelia J. Solon Vernon J. Lawhern	3
+ PDF Chat	Transfer Learning in Brain-Computer Interfaces	2015	Vinay Jayaram Morteza Alamgir Yasemin Altün Bernhard Schölkopf Moritz Grosse‐Wentrup	3
+ PDF Chat	The control of the false discovery rate in multiple testing under dependency	2001	Yoav Benjamini Daniel Yekutieli	3
+ PDF Chat	Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)	2016	Dongrui Wu Vernon J. Lawhern Stephen M. Gordon Brent J. Lance Chin‐Teng Lin	3
+ PDF Chat	Deep learning with convolutional neural networks for EEG decoding and visualization	2017	Robin Tibor Schirrmeister Jost Tobias Springenberg Lukas D. J. Fiederer Martin Glasstetter Katharina Eggensperger Michael Tangermann Frank Hutter Wolfram Burgard Tonio Ball	2
+ PDF Chat	EEG-Based Driver Drowsiness Estimation Using Convolutional Neural Networks	2017	Yuqi Cui Dongrui Wu	2
+ PDF Chat	Uncovering the structure of clinical EEG signals with self-supervised learning	2020	Hubert Banville Omar Chehab Aapo Hyvärinen Denis A. Engemann Alexandre Gramfort	2
+ PDF Chat	Transfer Learning in Brain-Computer Interfaces Abstract\uFFFDThe performance of brain-computer interfaces (BCIs) improves with the amount of avail	2016	Vinay Jayaram Morteza Alamgir Yasemin Altün Bernhard Schölkopf Moritz Grosse‐Wentrup	2
+ PDF Chat	Domain Generalization for Session-Independent Brain-Computer Interface	2021	Dong‐Kyun Han Ji-Hoon Jeong	2
+	Benchmarking Domain Generalization on EEG-based Emotion Recognition	2022	Yan Li Hao Chen Jake Zhao Haolan Zhang Jinpeng Li	2
+	A Plug&Play P300 BCI Using Information Geometry	2014	Alexandre Barachant Marco Congedo	2
+	A New Generation of Brain-Computer Interface Based on Riemannian Geometry	2013	Marco Congedo Alexandre Barachant Anton Andreev	2
+	On Calibration of Modern Neural Networks	2017	Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger	2
+ PDF Chat	Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression	2016	Dongrui Wu Vernon J. Lawhern Stephen M. Gordon Brent J. Lance Chin‐Teng Lin	2
+	Dynamic reconfiguration of human brain networks during learning	2011	Danielle S. Bassett Nicholas F. Wymbs Mason A. Porter Peter J. Mucha Jean M. Carlson Scott T. Grafton	1
+	Probability and Statistics for Engineers and Scientists.	1973	Richard J. Beckman Ronald E. Walpole Raymond H. Meyers	1
+	Estimating the Accuracies of Multiple Classifiers Without Labeled Data	2014	Ariel Jaffe Boaz Nadler Yuval Kluger	1
+	How to Explain Individual Classification Decisions	2009	David Baehrens Timon Schroeter Stefan Harmeling Motoaki Kawanabe Katja Hansen Klaus‐Robert Müller	1
+	Learning Transferable Features with Deep Adaptation Networks	2015	Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan	1
+	Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks	2015	Pouya Bashivan Irina Rish Mohammed Yeasin Noel Codella	1
+	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)	2015	Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter	1
+	Deep Feature Learning for EEG Recordings	2015	Sebastian Stober Avital Sternin Adrian M. Owen Jessica A. Grahn	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Riemannian Geometry Applied to Detection of Respiratory States From EEG Signals: The Basis for a Brain–Ventilator Interface	2016	Xavier Navarro‐Sune Anna L. Hudson Fabrizio De Vico Fallani Jacques Martinerie Adrien Witon Pierre Pouget Mathieu Raux Thomas Similowski Mario Chávez	1
+	A Deep Learning Approach to Unsupervised Ensemble Learning	2016	Uri Shaham Xiuyuan Cheng Omer Dror Ariel Jaffe Boaz Nadler Joseph T. Chang Yuval Kluger	1
+	Densely Connected Convolutional Networks	2016	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+ PDF Chat	A Riemannian Network for SPD Matrix Learning	2017	Zhiwu Huang Luc Van Gool	1
+ PDF Chat	Xception: Deep Learning with Depthwise Separable Convolutions	2017	François Chollet	1
+ PDF Chat	Spatial Filtering for EEG-Based Regression Problems in Brain–Computer Interface (BCI)	2017	Dongrui Wu Jung‐Tai King Chun‐Hsiang Chuang Chin‐Teng Lin Tzyy‐Ping Jung	1
+	Learning Important Features Through Propagating Activation Differences	2017	Avanti Shrikumar Peyton Greenside Anshul Kundaje	1
+	An Overview of Multi-Task Learning in Deep Neural Networks	2017	Sebastian Ruder	1
+	Methods for interpreting and understanding deep neural networks	2017	Grégoire Montavon Wojciech Samek Klaus‐Robert Müller	1
+ PDF Chat	The Elements of Statistical Learning	2009	Trevor Hastie Robert Tibshirani Jerome H. Friedman	1
+ PDF Chat	Active Learning with Statistical Models	1996	David Cohn Zoubin Ghahramani Michael I. Jordan	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Going Deeper with Convolutions	2014	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	1
+	A Deep Learning Approach to Unsupervised Ensemble Learning	2016	Uri Shaham Xiuyuan Cheng Omer Dror Ariel Jaffe Boaz Nadler Joseph T. Chang Yuval Kluger	1
+	Xception: Deep Learning with Depthwise Separable Convolutions	2016	François Chollet	1
+	Towards better understanding of gradient-based attribution methods for Deep Neural Networks	2017	Marco Ancona Enea Ceolini Cengiz Öztireli Markus Groß	1
+ PDF Chat	Maximum Classifier Discrepancy for Unsupervised Domain Adaptation	2018	Kuniaki Saito Kohei Watanabe Yoshitaka Ushiku Tatsuya Harada	1
+	Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks	2015	Pouya Bashivan Irina Rish Mohammed Yeasin Noel Codella	1
+ PDF Chat	Interpretable deep neural networks for single-trial EEG classification	2016	Irene Sturm Sebastian Lapuschkin Wojciech Samek Klaus‐Robert Müller	1