Research graph
References from The challenge of out-of-distribution detection in motor imagery BCIs. Local targets link to admitted publications; unresolved targets remain external evidence.
Optuna: a next-generation hyperparameter optimization framework
10.1145/3292500.3330701 · 2019 · External reference
Motor imagery based brain–computer interfaces: an emerging technology to rehabilitate motor deficits
10.1016/j.neuropsychologia.2015.09.012 · 2015 · External reference
Mother of all BCI benchmarks
2023 · External reference
Ood detection for EEG-based machine learning in high-risk environments
2026 · External reference
Equivalent is not equal: primary motor cortex (mi) activation during motor imagery and execution of sequential movements
10.1016/j.brainres.2008.05.089 · 2008 · External reference
Toward reliable signals decoding for electroencephalogram: a benchmark study to EEGNeX
10.1016/j.bspc.2023.105475 · 2024 · External reference
Bayesian opportunities for brain–computer interfaces: enhancement of the existing classification algorithms and out-of-domain detection
10.3390/a16090429 · 2023 · External reference
Uncer: a framework for uncertainty estimation and reduction in neural decoding of eeg signals
10.1016/j.neucom.2023.03.071 · 2023 · External reference
Dropout as a bayesian approximation: representing model uncertainty in deep learning
2016 · External reference
A comprehensive review of trends, applications and challenges in out-of-distribution detection
2022 · External reference
Uncertainty quantification in machine learning for biosignal applications – a review
10.1007/s41666-026-00249-5 · 2026 · External reference
How disentangled are your classification uncertainties?
2024 · External reference
Confidence-aware neural decoding of overt speech from EEG: toward robust brain–computer interfaces
2026 · External reference
Adam: a method for stochastic optimization
2017 · External reference
Motor imagery-based brain activity parallels that of motor execution: evidence from magnetic source imaging of cortical oscillations
10.1016/j.brainres.2014.09.001 · 2014 · External reference
Simple and scalable predictive uncertainty estimation using deep ensembles
2017 · External reference
Energy-based models
10.7551/mitpress/7443.003.0014 · 2007 · External reference
Implanted brain-computer interface functionality during nighttime in late-stage amyotrophic lateral sclerosis
10.1038/s41598-026-44228-7 · 2026 · External reference
Prototype-based aleatoric uncertainty quantification for cross-modal retrieval
10.52202/075280-1068 · 2023 · External reference
Temporal out-of-distribution detection for asynchronous motor imagery brain-computer interfaces
2026 · External reference
Energy-based Out-of-distribution Detection
2020 · External reference
An orderly approach to EEG analysis: visual inspection of the background and pattern recognition
2016 · External reference
Uncertainty quantification for cross-subject motor imagery classification
2024 · External reference
Monte carlo dropout for uncertainty estimation and motor imagery classification
10.3390/s21217241 · 2021 · External reference
Robust motor imagery tasks classification approach using Bayesian neural network
10.3390/s23020703 · 2023 · External reference
Benchmarking uncertainty disentanglement: Specialized uncertainties for specialized tasks
2024 · External reference
Deep deterministic uncertainty: a new simple baseline
10.1109/cvpr52729.2023.02336 · 2023 · External reference
Deep neural networks are easily fooled: high confidence predictions for unrecognizable images
2015 · External reference
Deep learning with convolutional neural networks for EEG decoding and visualization
10.1002/hbm.23730 · 2017 · External reference
Continuous sensorimotor rhythm based brain computer interface learning in a large population
10.1038/s41597-021-00883-1 · 2021 · External reference
React: Out-of-distribution detection with rectified activations
2021 · External reference
Out-of-distribution detection with deep nearest neighbors
2022 · External reference
A systematic review on artifact removal and classification techniques for enhanced MEG-based BCI systems
10.1080/2326263x.2023.2233368 · 2023 · External reference
Uncertainty quantification for motor imagery BCI – machine learning vs. deep learning
10.1109/mlsp62443.2025.11204214 · 2025 · External reference
Review of the BCI competition IV
10.3389/fnins.2012.00055 · 2012 · External reference
Uncertainty in deep learning for EEG under dataset shifts
10.1016/j.artmed.2026.103374 · 2026 · External reference
Uncertainty estimation using a single deep deterministic neural network
2020 · External reference
Evaluating latent space robustness and uncertainty of EEG-ML models under realistic distribution shifts
10.52202/068431-1537 · 2022 · External reference
From aleatoric to epistemic: exploring uncertainty quantification techniques in artificial intelligence
2025 · External reference
Long-term unsupervised recalibration of cursor-based intracortical brain–computer interfaces using a hidden markov model
10.1038/s41551-025-01536-z · 2026 · External reference
Estimating patient-level uncertainty in seizure detection using group-specific out-of-distribution detection technique
10.3390/s23208375 · 2023 · External reference
Generalized out-of-distribution detection: a survey
10.1007/s11263-024-02117-4 · 2024 · External reference
Beatrix: out-of-distribution generalization of large EEG model via invariant contrastive fine-tuning
2025 · External reference
OOD-BCI
2026 · External reference
