On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,291 papers · 148 categories

Trend · papers per month

count % of corpus

6 results for “EEGNet”

EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfacescs.LG

EEGNet creates a compact CNN for EEG-based BCIs across various paradigms.

problem Designing a single CNN for EEG-based BCIs that works across different paradigms.

method Use of depthwise and separable convolutions to create an EEG-specific model.

result EEGNet generalizes across paradigms better than current state-of-the-art approaches.

EEGNet BCI CNN Electroencephalogram Depthwise convolutions

2016-11-23abs ↗pdf ↗

FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnetstat.ML

FedSPDnet improves federated learning for SPD matrices, outperforming existing methods.

problem Federated learning for SPD matrices with orthogonality constraints.

method Two efficient aggregation strategies: ProjAvg and RLAvg, preserving geometric structure.

result FedSPDnet outperforms federated EEGnet in F1 score and robustness to federation and partial participation.

federated learning SPD matrices Stiefel manifold orthogonality signal processing

2026-04-24abs ↗pdf ↗

Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Eventseess.IV

Generative model creates EEG data for RSVP experiments.

problem Limited EEG data for training deep learning models.

method Wasserstein Generative Adversarial Network (WGAN-GP) with gradient penalty.

result Improved event classification performance with class-conditioned WGAN-GP.

EEG Generative Adversarial Networks Wasserstein RSVP Event Classification

2019-11-11abs ↗pdf ↗

TSception: A Deep Learning Framework for Emotion Detection Using EEGeess.SP

Deep learning framework detects emotions from EEG data.

problem Detecting emotions from EEG signals.

method Temporal and spatial convolutional layers learn discriminative representations.

result TSception achieves 86.03% classification accuracy, significantly outperforming other methods.

deep learning emotion detection EEG temporal convolution spatial convolution

2020-04-02abs ↗pdf ↗

A large-scale evaluation framework for EEG deep learning architectureseess.SP

Framework evaluates deep learning EEG architectures on 100 datasets.

problem Evaluating different deep learning architectures for EEG signal decoding.

method Large-scale evaluation framework with 100 EEG datasets and multiple decoders.

result Comparison of three CNN architectures on different EEG tasks.

EEG Deep Learning BCI Convolutional Neural Networks Recurrent Neural Networks

2018-06-18abs ↗pdf ↗

Bayesian Inference of Psychometric Variables From Brain and Behavior in Implicit Association Testscs.LG

Bayesian model predicts mental health symptoms from IAT data, improving accuracy over D-score.

problem Limited predictive performance of D-score method for mental health assessment.

method Sparse hierarchical Bayesian model leveraging multi-modal data.

result AUCs of 0.73 (E-IAT) and 0.76 (PSY-IAT) in best modality configurations, significant after FDR correction.

Bayesian inference psychometric variables Implicit Association Test mental health psychosis

2026-03-17abs ↗pdf ↗