Mauro F. Pinto
Coimbra, Portugal
Last Updated: 09/26/2026
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Found 17 publications
On the performance of seizure prediction machine learning methods across different databases: the sample and alarm-based perspectives.
Journal: Frontiers in neuroscience
Published: April 15, 2024
Classifier Combination Supported by the Sleep-Wake Cycle Improves EEG Seizure Prediction Performance.
Journal: IEEE transactions on bio-medical engineering
Published: February 21, 2024
Addressing data limitations in seizure prediction through transfer learning.
Journal: Scientific reports
Published: February 10, 2024
Concept-drifts adaptation for machine learning EEG epilepsy seizure prediction.
Journal: Scientific reports
Published: February 01, 2024
Comparison between epileptic seizure prediction and forecasting based on machine learning.
Journal: Scientific reports
Published: December 06, 2023
EEG epilepsy seizure prediction: the post-processing stage as a chronology.
Journal: Scientific reports
Published: November 03, 2023
The goal of explaining black boxes in EEG seizure prediction is not to explain models' decisions.
Journal: Epilepsia open
Published: February 27, 2023
Unsupervised EEG preictal interval identification in patients with drug-resistant epilepsy.
Journal: Scientific reports
Published: July 28, 2022
EPIC: Annotated epileptic EEG independent components for artifact reduction.
Journal: Scientific data
Published: April 12, 2022
Ensemble Deep Neural Network for Automatic Classification of EEG Independent Components.
Journal: IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Published: February 25, 2022
On the clinical acceptance of black-box systems for EEG seizure prediction.
Journal: Epilepsia open
Published: December 09, 2021
Last Updated: 09/26/2026