Issue Date | Title | Author(s) | Type | Access |
3-Oct-2022 | EEG Pre-processing Using Deep Learning Networks: an unichannel approach | Paiva, Vasco Guimarães | masterThesis | openAccess |
18-Nov-2021 | Epilepsy Seizure Prediction Based on HRV Analysis | Silva, Beatriz Martinho Cardoso da | masterThesis | openAccess |
29-Sep-2023 | EPIWEB: A web-based application for detecting and predicting epileptic seizures | Nogueira, Gonçalo Cardoso | masterThesis | openAccess |
30-Jun-2022 | Estimativa da temperatura em phantoms de tecido biológico por meio dos valores absolutos dos níveis médios de cinza de imagens de ultrassom modo-B | Souza, Raquel Monteiro | doctoralThesis | openAccess |
22-Sep-2023 | Machine Learning Methods for Epileptic Seizure Risk Assessment (ML4EPI-RISK) | Costa, Gonçalo Laranjeira Pires dos Santos | masterThesis | openAccess |
26-Sep-2023 | Modelos baseados em inteligência artificial para deteção de osteoporose: projeto OSSEUS | Guia, Daniela Filipa Neves | masterThesis | openAccess |
6-Oct-2022 | On the clinical acceptance of EEG seizure prediction methodologies | Batista, Joana Carolina Flórido | masterThesis | openAccess |
17-Nov-2021 | On the explainability of multiple sclerosis disease progression models | Sousa, Maria João Coelho de | masterThesis | openAccess |
25-Jul-2024 | On the Influence of Cyclic Alternating Patterns for Seizure Prediction | Dias, Maria Beatriz das Neves Gonçalves | masterThesis | openAccess |
26-Sep-2023 | On the Performance of Seizure Prediction Methods Across Different Databases | Andrade, Inês Martins | masterThesis | openAccess |
3-Oct-2022 | On the short-term prediction of Multiple Sclerosis disease progression | Vieira, Joana Sofia Baião | masterThesis | openAccess |
19-Sep-2023 | Plataforma de Estágios @DEI v2 | Costa, Gui Botelho Silva | masterThesis | openAccess |
18-Nov-2021 | Sleep-Awake Cycle Evaluation from Long-term EEG Data: Assessing the Impact in Epilepsy Seizure Prediction | Oliveira, Ana Catarina Rocha | masterThesis | openAccess |
3-Jan-2024 | Towards Adaptive Seizure Prediction using Automatic Electroencephalogram Denoising and Deep Learning Approaches | Lopes, Fábio André da Costa | doctoralThesis | openAccess |
27-Feb-2024 | Towards clinically interpretable feature engineering methods for EEG Pre-Seizure Characterization | Bernardino, Ana Sofia Lourenço | masterThesis | openAccess |
15-Dec-2022 | Towards the characterisation of the preictal state using neuro-cardiovascular information and unsupervised learning | Leal, Adriana Costa | doctoralThesis | openAccess |
12-Jan-2023 | Towards the interpretation of Machine Learning seizure prediction models | Pinto, Mauro Filipe da Silva | doctoralThesis | openAccess |
20-Sep-2023 | Unsupervised Preictal Estimation Based on Dimensionality Reduction using Deep Learning | Faria, Juliana Curty | masterThesis | openAccess |
17-Nov-2021 | Using machine learning for detecting security vulnerabilities through bug report analysis | Wanderley, Caio Walter Deziderio | masterThesis | openAccess |