ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.13694
  4. Cited By
Learning from Heterogeneous EEG Signals with Differentiable Channel
  Reordering

Learning from Heterogeneous EEG Signals with Differentiable Channel Reordering

21 October 2020
Aaqib Saeed
David Grangier
Olivier Pietquin
Neil Zeghidour
ArXivPDFHTML

Papers citing "Learning from Heterogeneous EEG Signals with Differentiable Channel Reordering"

11 / 11 papers shown
Title
EEGPT: Unleashing the Potential of EEG Generalist Foundation Model by
  Autoregressive Pre-training
EEGPT: Unleashing the Potential of EEG Generalist Foundation Model by Autoregressive Pre-training
Tongtian Yue
Shuning Xue
Xuange Gao
Yepeng Tang
Longteng Guo
Jie Jiang
Qingbin Liu
32
4
0
14 Oct 2024
SWIM: Short-Window CNN Integrated with Mamba for EEG-Based Auditory
  Spatial Attention Decoding
SWIM: Short-Window CNN Integrated with Mamba for EEG-Based Auditory Spatial Attention Decoding
Ziyang Zhang
Andrew Thwaites
Alexandra Woolgar
Brian Moore
Chao Zhang
Mamba
62
1
0
30 Sep 2024
Brain Age Revisited: Investigating the State vs. Trait Hypotheses of
  EEG-derived Brain-Age Dynamics with Deep Learning
Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learning
Lukas A. W. Gemein
R. Schirrmeister
Joschka Boedecker
Tonio Ball
18
4
0
22 Sep 2023
Distributionally Robust Cross Subject EEG Decoding
Distributionally Robust Cross Subject EEG Decoding
Tiehang Duan
Zhenyi Wang
Gianfranco Doretto
Fang Li
Cui Tao
Don Adjeroh
12
3
0
19 Aug 2023
Aggregating Intrinsic Information to Enhance BCI Performance through
  Federated Learning
Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning
Rui Liu
Yuanyuan Chen
Anran Li
Y. Ding
Han Yu
Cuntai Guan
FedML
42
7
0
14 Aug 2023
Data augmentation for learning predictive models on EEG: a systematic
  comparison
Data augmentation for learning predictive models on EEG: a systematic comparison
Cédric Rommel
Joseph Paillard
Thomas Moreau
Alexandre Gramfort
66
54
0
29 Jun 2022
Energy-Efficient Tree-Based EEG Artifact Detection
Energy-Efficient Tree-Based EEG Artifact Detection
T. Ingolfsson
A. Cossettini
Simone Benatti
Luca Benini
11
11
0
19 Apr 2022
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG
  Signals
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals
Cédric Rommel
Thomas Moreau
Joseph Paillard
Alexandre Gramfort
19
37
0
25 Jun 2021
There Is No Turning Back: A Self-Supervised Approach for
  Reversibility-Aware Reinforcement Learning
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
Nathan Grinsztajn
Johan Ferret
Olivier Pietquin
Philippe Preux
M. Geist
SSL
34
14
0
08 Jun 2021
Robust learning from corrupted EEG with dynamic spatial filtering
Robust learning from corrupted EEG with dynamic spatial filtering
Hubert J. Banville
Sean U. N. Wood
Chris Aimone
D. Engemann
Alexandre Gramfort
27
30
0
27 May 2021
Comparison of Attention-based Deep Learning Models for EEG
  Classification
Comparison of Attention-based Deep Learning Models for EEG Classification
Giulia Cisotto
Alessio Zanga
Joanna Chlebus
I. Zoppis
Sara Manzoni
Urszula Markowska-Kaczmar
19
19
0
02 Dec 2020
1