| Prediction of disease progression and outcomes in multiple sclerosis with machine learning MF Pinto, H Oliveira, S Batista, L Cruz, M Pinto, I Correia, P Martins, ... Scientific reports 10 (1), 21038, 2020 | 81 | 2020 |
| A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure prediction MF Pinto, A Leal, F Lopes, A Dourado, P Martins, CA Teixeira Scientific reports 11 (1), 3415, 2021 | 53 | 2021 |
| Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy A Leal, MF Pinto, F Lopes, AM Bianchi, J Henriques, MG Ruano, ... Scientific reports 11 (1), 5987, 2021 | 31 | 2021 |
| Automatic Electroencephalogram Artifact Removal Using Deep Convolutional Neural Networks F Lopes, A Leal, J Medeiros, MF Pinto, A Dourado, M Dümpelmann, ... IEEE Access 9, 149955-149970, 2021 | 29 | 2021 |
| Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm M Pinto, T Coelho, A Leal, F Lopes, A Dourado, P Martins, C Teixeira Scientific Reports 12 (1), 4420, 2022 | 21 | 2022 |
| On the clinical acceptance of black-box systems for EEG seizure prediction MF Pinto, A Leal, F Lopes, J Pais, A Dourado, F Sales, P Martins, ... Epilepsia Open 7 (2), 247-259, 2022 | 15 | 2022 |
| The goal of explaining black boxes in EEG seizure prediction is not to explain models' decisions MF Pinto, J Batista, A Leal, F Lopes, A Oliveira, A Dourado, SI Abuhaiba, ... Epilepsia Open 8 (2), 285-297, 2023 | 9 | 2023 |
| Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models F Lopes, A Leal, MF Pinto, A Dourado, A Schulze-Bonhage, ... Scientific Reports 13 (1), 5918, 2023 | 9 | 2023 |
| Ensemble Deep Neural Network for Automatic Classification of EEG Independent Components F Lopes, A Leal, J Medeiros, MF Pinto, A Dourado, M Dümpelmann, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 559-568, 2022 | 8 | 2022 |
| Unsupervised EEG preictal interval identification in patients with drug-resistant epilepsy A Leal, J Curty, F Lopes, MF Pinto, A Oliveira, F Sales, AM Bianchi, ... Scientific Reports 13 (1), 784, 2023 | 6 | 2023 |
| EPIC: Annotated epileptic EEG independent components for artifact reduction F Lopes, A Leal, J Medeiros, MF Pinto, A Dourado, M Dümpelmann, ... Scientific Data 9 (1), 512, 2022 | 3 | 2022 |
| A Qualitative Study on Trust Perception in IoT Mobile Applications JE Rivadeneira, MF Pinto, JS Silva 2020 IEEE Colombian Conference on Communications and Computing (COLCOM), 1-6, 2020 | 3 | 2020 |
| Preictal Time Assessment using Heart Rate Variability Features in Drug-resistant Epilepsy Patients A Leal, M Pinto, J Henriques, M da Graça Ruano, P de Carvalho, ... 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 3 | 2019 |
| Evaluation and prediction of Multiple Sclerosis Disease Progression MFS Pinto Evaluation and prediction of Multiple Sclerosis Disease Progression, 2018 | 1 | 2018 |
| Concept-drifts adaptation for machine learning EEG epilepsy seizure prediction ED Pontes, M Pinto, F Lopes, C Teixeira Scientific Reports 14 (1), 8204, 2024 | | 2024 |
| Comparison between epileptic seizure prediction and forecasting based on machine learning G Costa, C Teixeira, MF Pinto Scientific Reports 14 (1), 5653, 2024 | | 2024 |
| Classifier combination supported by the sleep-wake cycle improves EEG seizure prediction performance. A Oliveira, MF Pinto, F Lopes, A Leal, CA Teixeira IEEE Transactions on Bio-medical Engineering, 2024 | | 2024 |
| EEG epilepsy seizure prediction: the post-processing stage as a chronology J Batista, MF Pinto, M Tavares, F Lopes, A Oliveira, C Teixeira Scientific Reports 14 (1), 407, 2024 | | 2024 |
| Machine Learning Methods in Seizure Prediction and Forecasting: What Is the Best Approach? GS Costa, MF Pinto, CA Teixeira 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in …, 2023 | | 2023 |
| Towards the interpretation of Machine Learning seizure prediction models MFS Pinto Towards the interpretation of Machine Learning seizure prediction models, 2023 | | 2023 |
C.A. TeixeiraAssociate Professor-DEI-CISUC-University of CoimbraVerificeret mail på dei.uc.pt
