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Fábio Lopes
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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
652021
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
502020
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
402021
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
342021
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
292022
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
252020
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
242019
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
162023
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
162022
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
122023
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
112022
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
82023
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
52019
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
32022
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
22024
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
12024
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
12022
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
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Articles 1–20