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 | 65 | 2021 |
Automating orthogonal defect classification using machine learning algorithms F Lopes, J Agnelo, CA Teixeira, N Laranjeiro, J Bernardino Future generation computer systems 102, 932-947, 2020 | 50 | 2020 |
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 | 40 | 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 | 34 | 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 | 29 | 2022 |
Comparing different methods for named entity recognition in portuguese neurology text F Lopes, C Teixeira, H Gonçalo Oliveira Journal of Medical Systems 44 (4), 77, 2020 | 25 | 2020 |
Contributions to clinical named entity recognition in Portuguese F Lopes, C Teixeira, HG Oliveira Proceedings of the 18th BioNLP Workshop and Shared Task, 223-233, 2019 | 24 | 2019 |
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 | 16 | 2023 |
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 | 16 | 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 | 12 | 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 | 11 | 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 | 8 | 2023 |
Named entity recognition in portuguese neurology text using crf F Lopes, C Teixeira, H Gonçalo Oliveira Progress in Artificial Intelligence: 19th EPIA Conference on Artificial …, 2019 | 5 | 2019 |
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 |
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 | 2 | 2024 |
Addressing data limitations in seizure prediction through transfer learning F Lopes, MF Pinto, A Dourado, A Schulze-Bonhage, M Dümpelmann, ... Scientific Reports 14 (1), 14169, 2024 | 1 | 2024 |
Epileptic Seizure Risk Assessment by Multi-Channel Imaging of the EEG T Leal, F Lopes, C Teixeira, A Dourado arXiv preprint arXiv:2204.07034, 2022 | 1 | 2022 |
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 |
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 Biomedical Engineering, 2024 | | 2024 |
Towards Adaptive Seizure Prediction using Automatic Electroencephalogram Denoising and Deep Learning Approaches FAC Lopes Towards Adaptive Seizure Prediction using Automatic Electroencephalogram …, 2024 | | 2024 |