Bernardo Gomes, José Coelho, Helena Aidos. A survey on traffic flow prediction and classification. Intelligent Systems with Applications, 20, Elsevier BV, 2023 [Biblios]

Ruben Branco, Joana Barros Valente, Andreia S. Martins, Diogo F. Soares, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos. Survival analysis for multiple sclerosis: predicting risk of disease worsening. In Intelligent Disease Progression Prediction (iDPP) at CLEF 2023 . CEUR-WS.org , 2023 [Biblios]

Ruben Branco, Diogo F. Soares, Andreia S. Martins, Joana Barros Valente, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos. Investigating the Impact of Environmental Data on ALS Prognosis with Survival Analysis. In Intelligent Disease Progression Prediction (iDPP) at CLEF 2023. CEUR-WS.org, 2023 [Biblios]

Erica Tavazzi, Enrico Longato, Martina Vettoretti, Helena Aidos, Isotta Trescato, Chiara Roversi, Andreia S. Martins, Eduardo N. Castanho, Ruben Branco, Diogo F. Soares, Alessandro Guazzo, Giovanni Birolo, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira, Barbara Di Camillo. Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. Artificial Intelligence in Medicine, Elsevier BV, 2023 [Biblios]

Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Barbara Di Camillo, Mamede Alves de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi. iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge, In Lecture Notes in Computer Science, Advances in Information Retrieval, pages 491 - 498. Springer Nature Switzerland, 2023 [Biblios]

Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro. Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023, In Lecture Notes in Computer Science,Experimental IR Meets Multilinguality, Multimodality, and Interaction, pages 343 - 369. Springer Nature Switzerland, 2023 [Biblios]

Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro. Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022, In Lecture Notes in Computer Science, Experimental IR Meets Multilinguality, Multimodality, and Interaction, pages 395 - 422. Springer International Publishing, 2022 [Biblios]

João Mendes, José Domingues, Helena Aidos, Nuno Garcia, Nuno Matela. AI in Breast Cancer Imaging: A Survey of Different Applications. Journal of Imaging, 8(9), MDPI AG, 2022 [Biblios]

Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Pietro Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro. Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. In Intelligent Disease Progression Prediction (iDPP) at CLEF. CEUR-WS.org, 2022 [Biblios]

Ruben Branco, Diogo F. Soares, Andreia S. Martins, Eleonora Auletta, Eduardo N. Castanho, Susana Nunes, Filipa Serrano, Rita T. Sousa, Catia Pesquita, Sara C. Madeira, Helena Aidos. Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events. In Intelligent Disease Progression Prediction (iDPP) at CLEF. CEUR-WS.org, 2022 [Biblios]

Susana Nunes, Rita T. Sousa, Filipa Serrano, Ruben Branco, Diogo F. Soares, Andreia S. Martins, Eleonora Auletta, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos,  Catia Pesquita. Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity. In Intelligent Disease Progression Prediction (iDPP) at CLEF 2022. CEUR-WS.org, 2022 [Biblios]

Helena Aidos. Exploiting second-order dissimilarity representations for hierarchical clustering and visualization. Data Mining and Knowledge Discovery, Springer Science and Business Media LLC, 2022 [Biblios]

Alessandro Caula, Sara C. Madeira, Helena Aidos, Pietro Di Lena. Identifying subtypes of Mild Cognitive Impairment due to Alzheimer’s disease in cerebrospinal fluid proteomics: a Machine Learning approach. Master's dissertation, 2022 [Biblios]

Valente, Joana Filipa Barros, Tomás, Helena Isabel Aidos Lopes, Madeira, Sara Alexandra Cordeiro. Relapse Prediction in Multiple Sclerosis: a Supervised Learning Approach. Master's dissertation, 2022 [Biblios]

Gomes, Bernardo Policarpo, Coelho, José Romana Baptista, Tomás, Helena Isabel Aidos Lopes. Creation of general traffic indicators for the city of Lisbon through the crossing of diversified information. Master's dissertation, 2022 [Biblios]

Garcia, Afonso Neves, Madeira, Sara Alexandra Cordeiro, Aidos, Helena. Modelo preditivo para a aquisição do produto Solar da EDP Comercial. Master's dissertation, 2022 [Biblios]

Miguel Roque, Helena Aidos, Pedro Tomás. A Deep Temporal Consensus Clustering approach for Amyotrophic Lateral Sclerosis Patient Stratification. Master's dissertation, 2022 [Biblios]

Miguel Gonçalves, Helena Aidos, Pedro Tomás. Automatic detection of forest fires: a deep learning approach. Master's dissertation, 2022 [Biblios]

Miguel Neves, Helena Aidos, Pedro Tomás. A Study on Generative Augmentation with cGANs for improved Chest X-ray Classification. Master's dissertation, 2022 [Biblios]

Castilho, Carolina da Silva, Tomás, Helena Isabel Aidos Lopes. Unsupervised learning models for patient stratification in ALS. Master's dissertation, 2022 [Biblios]

Freitas, João Capucho Correia de, Tomás, Helena Isabel Aidos Lopes. Forecasting travel assistance demand with Machine Learning. Master's dissertation, 2022 [Biblios]

Gustavo Augusto Toscano Morais, Pedro Tomás, Helena Aidos. Generative Deep Clustering with the Hierarchical and Relativistic Wasserstein Autoencoder GAN. Master's dissertation, 2021 [Biblios]

Pedro de Távora Barroco e Moreira dos Santos, Helena Isabel Aidos Lopes Tomás, Pedro Tomás. A mixture-of-experts approach to deep image clustering. Master's dissertation, 2021 [Biblios]

João Paulo Goulart Pedrosa, Helena Isabel Aidos Lopes Tomás, Pedro Tomás. Exploiting machine learning techniques to predict Alzheimer’s disease progression. Master's dissertation, 2021 [Biblios]

José Carlos André Nobre, Helena Isabel Aidos Lopes Tomás, Pedro Tomás. Predicting Alzheimer’s disease progression: a deep learning approach. Master's dissertation, 2021 [Biblios]

Mafalda Cardoso de Lemos Gomes Beleza, Helena Isabel Aidos Lopes Tomás. Modeling Alzheimer’s Disease progression using Temporal Data. Master's dissertation, 2021 [Biblios]

Helena Aidos, Pedro Tomás. Neighborhood-aware Autoencoder for Missing Value Imputation. In 28th European Signal Processing Conference (EUSIPCO), pages 1542-1546. IEEE, 2021 [Biblios]

Jorge Pessoa, Helena Aidos, Pedro Tomas, Mario A. T. Figueiredo. End-to-End Learning of Video Compression using Spatio-Temporal Autoencoders. In 2020 IEEE Workshop on Signal Processing Systems (SiPS). 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]

Pedro Sa, Helena Aidos, Nuno Roma, Pedro Tomas. Heart Disease Detection Architecture for Lead I Off-the-Person ECG Monitoring Devices. In 2019 27th European Signal Processing Conference (EUSIPCO). IEEE, 2019 [Biblios]

João Pedro Costa Ramos dos Santos, Tomás, Helena Isabel Aidos Lopes. Solução Cloud Based Development – CRM. Master's dissertation, 2019 [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]

Sílvia Aguiar Rosa, Ana Agapito, Rui M. Soares, Lídia Sousa, José Alberto Oliveira, Ana Abreu, Ana Sofia Silva, Sandra Alves, Helena Aidos, Fátima F. Pinto, Rui Cruz Ferreira. Congenital heart disease in adults: Assessmentof functional capacity using cardiopulmonary exercise testing. Revista Portuguesa de Cardiologia, 37(5):399-405, Elsevier BV, 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]

Ana T. Timóteo, André V. Monteiro, Guilherme Portugal, Pedro Teixeira, Helena Aidos, Maria L. Ferreira, Rui C. Ferreira. Validation of two US risk scores for percutaneous coronary intervention in a single-center Portuguese population of patients with acute coronary syndrome. Revista Portuguesa de Cardiologia, 35(2):73-78, Elsevier BV, 2016 [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]