output
20162023
most citedEEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces

4.8k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2018Show all

4 papers · 1 filter

q-bio.NC2018★ 8 cited

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

Amelia J. Solon, Stephen M. Gordon, Jonathan R. McDaniel +1

Humans can fluidly adapt their interest in complex environments in ways that machines cannot. Here, we lay the groundwork for a real-world system that passively monitors and merges…

q-bio.NC2018★ 7 cited

Analyzing P300 Distractors for Target Reconstruction

Jonathan R. McDaniel, Stephen M. Gordon, Amelia J. Solon +1

P300-based brain-computer interfaces (BCIs) are often trained per-user and per-application space. Training such models requires ground truth knowledge of target and non-target stim…

cs.LG2018

Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface

Dongrui Wu, Vernon J. Lawhern, Stephen Gordon +2

Ensemble learning is a powerful approach to construct a strong learner from multiple base learners. The most popular way to aggregate an ensemble of classifiers is majority voting,…

cs.LG2018★ 1 cited

Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode Active Learning (EBMAL) for Regression

Dongrui Wu, Vernon J. Lawhern, Stephen Gordon +2

There are many important regression problems in real-world brain-computer interface (BCI) applications, e.g., driver drowsiness estimation from EEG signals. This paper considers of…