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Helena Aidos

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Helena Aidos, Pedro Tomás. Neighborhood-aware Autoencoder for Missing Value Imputation. In 28th European Signal Processing Conference (EUSIPCO), pages 1542-1546. IEEE, 2020 [Biblios]
Joana Matos, Sofia Pires, Helena Aidos, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira. Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery. In Bioinformatics and Biomedical Engineering,Lecture Notes in Computer Science, pages 517-528. Springer International Publishing, 2020 [Biblios]
Nuno Lourenco, Joao Rosa, Ricardo Martins, Helena Aidos, Antonio Canelas, Ricardo Povoa, Nuno Horta. On the Exploration of Promising Analog IC Designs via Artificial Neural Networks. In 2018 15th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD). IEEE, 2018 [Biblios]
Diana Batista, Helena Aidos, Ana Fred, Joana Santos, Rui Cruz Ferreira, Rui César das Neves. Protecting the ECG Signal in Cloud-based User Identification System – A Dissimilarity Representation Approach. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies. SCITEPRESS - Science and Technology Publications, 2018 [Biblios]
Helena Aidos, Ana Fred. Discrimination of Alzheimer’s Disease using longitudinal information. Data Mining and Knowledge Discovery, 31(4):1006-1030, Springer Science and Business Media LLC, 2017 [Biblios]
Isidora Šaši?, Sanja Brdar, Tatjana Lon?ar-Turukalo, Helena Aidos, Ana Fred. Consensus Clustering for Cancer Gene Expression Data – Large-Scale Analysis using Evidence Accumulation Approach. In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies. SCITEPRESS - Science and Technology Publications, 2017 [Biblios]
Afonso Eduardo, Helena Aidos, Ana Fred. ECG-based Biometrics using a Deep Autoencoder for Feature Learning – An Empirical Study on Transferability. In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2017 [Biblios]
Carlos Carreiras, André Lourenço, Helena Aidos, Hugo Plácido da Silva, Ana L. N. Fred. Unsupervised Analysis of Morphological ECG Features for Attention Detection, In Studies in Computational Intelligence,Computational Intelligence, pages 437-453. Springer International Publishing, 2016 [Biblios]
Diogo Silva, Helena Aidos, Ana Fred. Efficient Evidence Accumulation Clustering for Large Datasets. In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and and Technology Publications, 2016 [Biblios]