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. 1805.06427
  4. Cited By
MOABB: Trustworthy algorithm benchmarking for BCIs

MOABB: Trustworthy algorithm benchmarking for BCIs

16 May 2018
V. Jayaram
A. Barachant
ArXiv (abs)PDFHTMLGithub (789★)

Papers citing "MOABB: Trustworthy algorithm benchmarking for BCIs"

50 / 55 papers shown
Title
Bridging Brain with Foundation Models through Self-Supervised Learning
Hamdi Altaheri
Fakhri Karray
Md. Milon Islam
S M Taslim Uddin Raju
Amir-Hossein Karimi
14
0
0
19 Jun 2025
Exploring Deep Learning Models for EEG Neural Decoding
Exploring Deep Learning Models for EEG Neural Decoding
Laurits Dixen
Stefan Heinrich
Paolo Burelli
64
0
0
20 Mar 2025
Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification
Dingkun Liu
Siyang Li
Ziwei Wang
Wei Li
Dongrui Wu
66
0
0
07 Mar 2025
T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play
  BCIs
T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs
Siyang Li
Ziwei Wang
Hanbin Luo
L. Ding
Dongrui Wu
145
15
0
10 Dec 2024
Channel Reflection: Knowledge-Driven Data Augmentation for EEG-Based
  Brain-Computer Interfaces
Channel Reflection: Knowledge-Driven Data Augmentation for EEG-Based Brain-Computer Interfaces
Ziwei Wang
Siyang Li
Jingwei Luo
Jiajing Liu
Dongrui Wu
103
7
0
04 Dec 2024
Federated Motor Imagery Classification for Privacy-Preserving
  Brain-Computer Interfaces
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces
Tianwang Jia
Lubin Meng
Siyang Li
Jiajing Liu
Dongrui Wu
207
4
0
02 Dec 2024
Elliptical Wishart distributions: information geometry, maximum
  likelihood estimator, performance analysis and statistical learning
Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learning
Imen Ayadi
Florent Bouchard
Frédéric Pascal
65
1
0
05 Nov 2024
CSP-Net: Common Spatial Pattern Empowered Neural Networks for EEG-Based
  Motor Imagery Classification
CSP-Net: Common Spatial Pattern Empowered Neural Networks for EEG-Based Motor Imagery Classification
Xue Jiang
Lubin Meng
Xinru Chen
Yifan Xu
Dongrui Wu
98
5
0
04 Nov 2024
Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)
Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)
Abhijit Mishra
Shreya Shukla
Jose Torres
Jacek Gwizdka
Shounak Roychowdhury
125
7
0
10 Oct 2024
RMLR: Extending Multinomial Logistic Regression into General Geometries
RMLR: Extending Multinomial Logistic Regression into General Geometries
Ziheng Chen
Yue Song
Rui Wang
Xiaojun Wu
N. Sebe
69
2
0
28 Sep 2024
A Survey of Spatio-Temporal EEG data Analysis: from Models to
  Applications
A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications
Pengfei Wang
Huanran Zheng
Silong Dai
Yiqiao Wang
Xiaotian Gu
Yuanbin Wu
Xiaoling Wang
SyDaAI4TS
148
4
0
26 Sep 2024
Dual-TSST: A Dual-Branch Temporal-Spectral-Spatial Transformer Model for
  EEG Decoding
Dual-TSST: A Dual-Branch Temporal-Spectral-Spatial Transformer Model for EEG Decoding
Hongqi Li
Haodong Zhang
Yitong Chen
55
0
0
05 Sep 2024
Alljoined1 -- A dataset for EEG-to-Image decoding
Alljoined1 -- A dataset for EEG-to-Image decoding
Jonathan Xu
Bruno Aristimunha
Max Emanuel Feucht
Emma Qian
Charles Liu
...
Paula Perdomo
Ricky Renfeng Mao
Yashvir Sabharwal
Michael Ahedor Moaz Shoura
Adrian Nestor
86
2
0
08 Apr 2024
The largest EEG-based BCI reproducibility study for open science: the
  MOABB benchmark
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
Sylvain Chevallier
Igor Carrara
Bruno Aristimunha
Pierre Guetschel
Sara Sedlar
Bruna Lopes
Sebastien Velut
Salim Khazem
Thomas Moreau
132
16
0
03 Apr 2024
A Lie Group Approach to Riemannian Batch Normalization
A Lie Group Approach to Riemannian Batch Normalization
Ziheng Chen
Yue Song
Yunmei Liu
N. Sebe
BDL
115
6
0
17 Mar 2024
Uncertainty Quantification for cross-subject Motor Imagery
  classification
Uncertainty Quantification for cross-subject Motor Imagery classification
Prithviraj Manivannan
Ivo Pascal de Jong
Matias Valdenegro-Toro
A. Sburlea
UQCV
73
1
0
14 Mar 2024
Playing With Neuroscience: Past, Present and Future of Neuroimaging and
  Games
Playing With Neuroscience: Past, Present and Future of Neuroimaging and Games
Paolo Burelli
Laurits Dixen
47
1
0
06 Mar 2024
NeuroIDBench: An Open-Source Benchmark Framework for the Standardization
  of Methodology in Brainwave-based Authentication Research
NeuroIDBench: An Open-Source Benchmark Framework for the Standardization of Methodology in Brainwave-based Authentication Research
A. Chaurasia
Matin Fallahi
Thorsten Strufe
Philipp Terhörst
Patricia Arias-Cabarcos
49
5
0
13 Feb 2024
Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy
Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy
Weijian Mai
Jian Zhang
Pengfei Fang
Zhijun Zhang
177
11
0
31 Dec 2023
BrainVis: Exploring the Bridge between Brain and Visual Signals via
  Image Reconstruction
BrainVis: Exploring the Bridge between Brain and Visual Signals via Image Reconstruction
Honghao Fu
Zhiqi Shen
Jing Jih Chin
Hao Wang
DiffM
102
7
0
22 Dec 2023
hvEEGNet: exploiting hierarchical VAEs on EEG data for neuroscience
  applications
hvEEGNet: exploiting hierarchical VAEs on EEG data for neuroscience applications
Giulia Cisotto
Alberto Zancanaro
I. Zoppis
Sara Manzoni
66
3
0
20 Nov 2023
Brain decoding: toward real-time reconstruction of visual perception
Brain decoding: toward real-time reconstruction of visual perception
Yohann Benchetrit
Hubert J. Banville
Jean-Rémi King
125
54
0
18 Oct 2023
A Convolutional Network Adaptation for Cortical Classification During
  Mobile Brain Imaging
A Convolutional Network Adaptation for Cortical Classification During Mobile Brain Imaging
B. Cichy
J. Lukos
Mohammad Alam
J. C. Bradford
Nicholas Wymbs
29
0
0
11 Oct 2023
Automatic Control of Reactive Brain Computer Interfaces
Automatic Control of Reactive Brain Computer Interfaces
Pex Tufvesson
Frida Heskebeck
22
1
0
11 Oct 2023
BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision
Jinzhao Zhou
Yiqun Duan
Yu-Cheng Chang
Yu-Kai Wang
Chin-Teng Lin
74
6
0
21 Sep 2023
A Strong and Simple Deep Learning Baseline for BCI MI Decoding
A Strong and Simple Deep Learning Baseline for BCI MI Decoding
Yassine El Ouahidi
Vincent Gripon
Bastien Pasdeloup
Ghaith Bouallegue
Nicolas Farrugia
G. Lioi
BDL
76
4
0
11 Sep 2023
Transfer Learning between Motor Imagery Datasets using Deep Learning --
  Validation of Framework and Comparison of Datasets
Transfer Learning between Motor Imagery Datasets using Deep Learning -- Validation of Framework and Comparison of Datasets
Pierre Guetschel
Michael Tangermann
26
3
0
04 Sep 2023
Pseudo-online framework for BCI evaluation: A MOABB perspective
Pseudo-online framework for BCI evaluation: A MOABB perspective
Igor Carrara
Théodore Papadopoulo
124
8
0
21 Aug 2023
Evaluating the structure of cognitive tasks with transfer learning
Evaluating the structure of cognitive tasks with transfer learning
Bruno Aristimunha
Raphael Y. de Camargo
W. H. L. Pinaya
Sylvain Chevallier
Alexandre Gramfort
Cédric Rommel
82
5
0
28 Jul 2023
DreamDiffusion: Generating High-Quality Images from Brain EEG Signals
DreamDiffusion: Generating High-Quality Images from Brain EEG Signals
Yun-Hao Bai
Xintao Wang
Yanpei Cao
Yixiao Ge
Chun Yuan
Ying Shan
DiffM
82
57
0
29 Jun 2023
Riemannian Multinomial Logistics Regression for SPD Neural Networks
Riemannian Multinomial Logistics Regression for SPD Neural Networks
Ziheng Chen
Yue Song
Gaowen Liu
Ramana Rao Kompella
Xiaojun Wu
N. Sebe
80
5
0
18 May 2023
Interpretable and Robust AI in EEG Systems: A Survey
Interpretable and Robust AI in EEG Systems: A Survey
Xin-qiu Zhou
Chenyu Liu
Liming Zhai
Ziyu Jia
Cuntai Guan
Yang Liu
AAML
123
22
0
21 Apr 2023
An embedding for EEG signals learned using a triplet loss
An embedding for EEG signals learned using a triplet loss
Pierre Guetschel
Théodore Papadopoulo
Michael Tangermann
21
1
0
23 Mar 2023
Classification of BCI-EEG based on augmented covariance matrix
Classification of BCI-EEG based on augmented covariance matrix
Igor Carrara
Théodore Papadopoulo
33
7
0
09 Feb 2023
Personalised Federated Learning On Heterogeneous Feature Spaces
Personalised Federated Learning On Heterogeneous Feature Spaces
A. Rakotomamonjy
Maxime Vono
H. M. Ruiz
L. Ralaivola
FedML
75
8
0
26 Jan 2023
Source-Free Unsupervised Domain Adaptation: A Survey
Source-Free Unsupervised Domain Adaptation: A Survey
Yuqi Fang
P. Yap
W. Lin
Hongtu Zhu
Mingxia Liu
226
99
0
31 Dec 2022
Motor Imagery Decoding Using Ensemble Curriculum Learning and
  Collaborative Training
Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training
Georgios Zoumpourlis
Ioannis Patras
81
9
0
21 Nov 2022
Spatial Graph Signal Interpolation with an Application for Merging BCI
  Datasets with Various Dimensionalities
Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities
Yassine El Ouahidi
Lucas Drumetz
G. Lioi
Nicolas Farrugia
Bastien Pasdeloup
Vincent Gripon
27
5
0
28 Oct 2022
Decoding speech perception from non-invasive brain recordings
Decoding speech perception from non-invasive brain recordings
Alexandre Défossez
Charlotte Caucheteux
Jérémy Rapin
Ori Kabeli
J. King
107
138
0
25 Aug 2022
Toward reliable signals decoding for electroencephalogram: A benchmark
  study to EEGNeX
Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX
Xia Chen
Xiangbin Teng
Hannah S. Chen
Yafeng Pan
Philipp Geyer
71
45
0
15 Jul 2022
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
118
64
0
29 Jun 2022
SPD domain-specific batch normalization to crack interpretable
  unsupervised domain adaptation in EEG
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
Reinmar J. Kobler
J. Hirayama
Qibin Zhao
M. Kawanabe
83
58
0
02 Jun 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet
Kartik Ahuja
Mohammad Javad Darvishi Bayazi
Pooneh Mousavi
G. Dumas
Irina Rish
OODCMLAI4TS
109
32
0
18 Mar 2022
End-to-end P300 BCI using Bayesian accumulation of Riemannian
  probabilities
End-to-end P300 BCI using Bayesian accumulation of Riemannian probabilities
Quentin Barthélemy
Sylvain Chevallier
Raphaelle Bertrand-Lalo
Pierre Clisson
28
6
0
15 Mar 2022
Introducing Block-Toeplitz Covariance Matrices to Remaster Linear
  Discriminant Analysis for Event-related Potential Brain-computer Interfaces
Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces
J. Sosulski
Michael Tangermann
59
12
0
04 Feb 2022
Minimizing subject-dependent calibration for BCI with Riemannian
  transfer learning
Minimizing subject-dependent calibration for BCI with Riemannian transfer learning
Salim Khazem
Sylvain Chevallier
Quentin Barthélemy
Karim Haroun
C. Noûs
16
9
0
23 Nov 2021
Functional connectivity ensemble method to enhance BCI performance
  (FUCONE)
Functional connectivity ensemble method to enhance BCI performance (FUCONE)
Marie-Constance Corsi
Sylvain Chevallier
F. D. V. Fallani
Florian Yger
20
22
0
04 Nov 2021
Riemannian classification of EEG signals with missing values
Riemannian classification of EEG signals with missing values
Alexandre Hippert-Ferrer
A. Mian
Florent Bouchard
Frédéric Pascal
67
2
0
19 Oct 2021
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded
  Motor-Imagery Brain-Machine Interfaces
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces
T. Ingolfsson
Michael Hersche
Xiaying Wang
Nobuaki Kobayashi
Lukas Cavigelli
Luca Benini
79
198
0
31 May 2020
Raccoons vs Demons: multiclass labeled P300 dataset
Raccoons vs Demons: multiclass labeled P300 dataset
Vladislav Goncharenko
R. Grigoryan
A. Samokhina
19
4
0
22 Apr 2020
12
Next