Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

The goal of explaining black boxes in EEG seizure prediction is not to explain models’ decisions
Mauro F. Pinto, Joana Batista, Adriana Leal, et al.
Epilepsia Open (2023) Vol. 8, Iss. 2, pp. 285-297
Open Access | Times Cited: 12

Showing 12 citing articles:

Comparison between epileptic seizure prediction and forecasting based on machine learning
Gonçalo Costa, César Teixeira, Mauro F. Pinto
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
EEG epilepsy seizure prediction: the post-processing stage as a chronology
Joana Batista, Mauro F. Pinto, Mariana Tavares, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
A predictive machine learning model for cannabinoid effect based on image detection of reactive oxygen species in microglia
Patricia Sinclair, William Jeffries, Nadege Lebert, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0320219-e0320219
Open Access
Concept-drifts adaptation for machine learning EEG epilepsy seizure prediction
Edson David Pontes, Mauro F. Pinto, Fábio Lopes, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Evaluation of the Relation between Ictal EEG Features and XAI Explanations
Sergio E. Sánchez-Hernández, Sulema Torres-Ramos, Israel Román-Godínez, et al.
Brain Sciences (2024) Vol. 14, Iss. 4, pp. 306-306
Open Access | Times Cited: 2
Classifier Combination Supported by the Sleep-Wake Cycle Improves EEG Seizure Prediction Performance
Ana Oliveira, Mauro F. Pinto, Fábio Lopes, et al.
IEEE Transactions on Biomedical Engineering (2024) Vol. 71, Iss. 8, pp. 2341-2351
Open Access
On the performance of seizure prediction machine learning methods across different databases: the sample and alarm-based perspectives
Inés Lozano Andrade, César Teixeira, Mauro F. Pinto
Frontiers in Neuroscience (2024) Vol. 18
Open Access
An EEG-based Automatic Classification Model for Epilepsy with Explainable Artificial Intelligence
Lan Wei, Catherine Mooney
(2024), pp. 44-50
Closed Access
Deep learning for automated detection of generalized paroxysmal fast activity in Lennox–Gastaut syndrome
Ewan S. Nurse, Linda J. Dalic, Shannon Clarke, et al.
Epilepsy & Behavior (2023) Vol. 147, pp. 109418-109418
Open Access | Times Cited: 1
EEG Epilepsy Seizure Prediction: The Post-processing Stage as a Chronology
Joana Batista, Mauro F. Pinto, Mariana Taveres, et al.
(2023), pp. 167-168
Closed Access
Machine Learning Methods in Seizure Prediction and Forecasting: What Is the Best Approach?
Gonçalo Costa, Mauro F. Pinto, César Teixeira
(2023), pp. 21-22
Closed Access
Page 1

Scroll to top