Bruno Aristimunha

1. The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
   2024/04/03 by Sylvain Chevallier, Chevallier, Sylvain, Igor Carrara +15 · 10 citations
   Computer Science · Medicine · Neuroscience · #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #Explainable Artificial Intelligence (XAI) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Healthcare Technology and Patient Monitoring #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC) #Signal Processing (eess.SP) #electronic engineering #information engineering
2. A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding
   2024/01/19 by Bruna Raquel R. S. P. Junqueira, Bruno Aristimunha, Junqueira, Bruna +5 · 3 citations
   Neuroscience · Computer Science · #EEG and Brain-Computer Interfaces #Neural dynamics and brain function #Gaze Tracking and Assistive Technology
3. Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal Study
   2025/02/05 by Martin Wimpff, Bruno Aristimunha, Wimpff, Martin +5 · 2 citations
   Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Blind Source Separation Techniques #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
4. EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding
   2025/06/23 by Bruno Aristimunha, Aristimunha, Bruno, Dung Truong +34 · 3 citations
   Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
5. Evaluating the structure of cognitive tasks with transfer learning
   2023/07/28 by Bruno Aristimunha, Raphael De Camargo, Aristimunha, Bruno +9 · 1 citation
   Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Blind Source Separation Techniques #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #I.2.6 #I.5.1 #I.6.3 #K.3.2 #Machine Learning (cs.LG) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Signal Processing (eess.SP) #electronic engineering #information engineering
6. EEGPrep: a validated Python implementation of the EEGLAB preprocessing pipeline
   2026/07/18 by Arnaud Delorme, Suraj Ranganath, Christian Kothe +3
   #eess.SP