Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Mauro F Pinto

Showing results (1-10 of 13) with videos related to

Pageof 2
Sort By:
Scientific Reports|March 7, 2024
Comparison between epileptic seizure prediction and forecasting based on machine learningGonçalo Costa, César Teixeira, Mauro F Pinto
IEEE Transactions on Bio-Medical Engineering|February 21, 2024
Classifier Combination Supported by the Sleep-Wake Cycle Improves EEG Seizure Prediction PerformanceAna Oliveira, Mauro F Pinto, Fabio Lopes, et al.
Scientific Reports|January 3, 2024
EEG epilepsy seizure prediction: the post-processing stage as a chronologyJoana Batista, Mauro F Pinto, Mariana Tavares, et al.
Scientific Reports|February 10, 2021
A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure predictionMauro F Pinto, Adriana Leal, Fábio Lopes, et al.
Scientific Reports|June 19, 2024
Addressing data limitations in seizure prediction through transfer learningFábio Lopes, Mauro F Pinto, António Dourado, et al.
Scientific Data|August 20, 2022
EPIC: Annotated epileptic EEG independent components for artifact reductionFábio Lopes, Adriana Leal, Júlio Medeiros, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|February 25, 2022
Ensemble Deep Neural Network for Automatic Classification of EEG Independent ComponentsFabio Lopes, Adriana Leal, Julio Medeiros, et al.
Scientific Reports|April 11, 2023
Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction modelsFábio Lopes, Adriana Leal, Mauro F Pinto, et al.
Scientific Reports|December 4, 2020
Prediction of disease progression and outcomes in multiple sclerosis with machine learningMauro F Pinto, Hugo Oliveira, Sónia Batista, et al.
Epilepsia Open|April 4, 2022
On the clinical acceptance of black-box systems for EEG seizure predictionMauro F Pinto, Adriana Leal, Fábio Lopes, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Scientific Reports|March 7, 2024
Comparison between epileptic seizure prediction and forecasting based on machine learningGonçalo Costa, César Teixeira, Mauro F Pinto
IEEE Transactions on Bio-Medical Engineering|February 21, 2024
Classifier Combination Supported by the Sleep-Wake Cycle Improves EEG Seizure Prediction PerformanceAna Oliveira, Mauro F Pinto, Fabio Lopes, et al.
Scientific Reports|January 3, 2024
EEG epilepsy seizure prediction: the post-processing stage as a chronologyJoana Batista, Mauro F Pinto, Mariana Tavares, et al.
Scientific Reports|February 10, 2021
A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure predictionMauro F Pinto, Adriana Leal, Fábio Lopes, et al.
Scientific Reports|June 19, 2024
Addressing data limitations in seizure prediction through transfer learningFábio Lopes, Mauro F Pinto, António Dourado, et al.
Scientific Data|August 20, 2022
EPIC: Annotated epileptic EEG independent components for artifact reductionFábio Lopes, Adriana Leal, Júlio Medeiros, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|February 25, 2022
Ensemble Deep Neural Network for Automatic Classification of EEG Independent ComponentsFabio Lopes, Adriana Leal, Julio Medeiros, et al.
Scientific Reports|April 11, 2023
Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction modelsFábio Lopes, Adriana Leal, Mauro F Pinto, et al.
Scientific Reports|December 4, 2020
Prediction of disease progression and outcomes in multiple sclerosis with machine learningMauro F Pinto, Hugo Oliveira, Sónia Batista, et al.
Epilepsia Open|April 4, 2022
On the clinical acceptance of black-box systems for EEG seizure predictionMauro F Pinto, Adriana Leal, Fábio Lopes, et al.
Pageof 2