| Information retrieval perspective to nonlinear dimensionality reduction for data visualization. J Venna, J Peltonen, K Nybo, H Aidos, S Kaski Journal of Machine Learning Research 11 (2), 2010 | 396 | 2010 |
| ECG-based biometrics using a deep autoencoder for feature learning-an empirical study on transferability A Eduardo, H Aidos, A Fred International conference on pattern recognition applications and methods 2 …, 2017 | 51 | 2017 |
| On the exploration of promising analog ic designs via artificial neural networks N Lourenço, J Rosa, R Martins, H Aidos, A Canelas, R Póvoa, N Horta 2018 15th International Conference on Synthesis, Modeling, Analysis and …, 2018 | 44 | 2018 |
| End-to-end learning of video compression using spatio-temporal autoencoders J Pessoa, H Aidos, P Tomás, MAT Figueiredo 2020 IEEE Workshop on Signal Processing Systems (SiPS), 1-6, 2020 | 39 | 2020 |
| Biclustering fMRI time series: a comparative study EN Castanho, H Aidos, SC Madeira BMC bioinformatics 23 (1), 192, 2022 | 25 | 2022 |
| Super-resolution of magnetic resonance images using Generative Adversarial Networks J Guerreiro, P Tomás, N Garcia, H Aidos Computerized Medical Imaging and Graphics, 102280, 2023 | 24 | 2023 |
| AI in breast cancer imaging: A survey of different applications J Mendes, J Domingues, H Aidos, N Garcia, N Matela Journal of Imaging 8 (9), 228, 2022 | 24 | 2022 |
| Overview of iDPP@ CLEF 2022: the intelligent disease progression prediction challenge A Guazzo, I Trescato, E Longato, E Hazizaj, D Dosso, G Faggioli, ... CEUR WORKSHOP PROCEEDINGS 3180, 1130-1210, 2022 | 23 | 2022 |
| Overview of iDPP@ CLEF 2023: the intelligent disease progression prediction challenge G Faggioli, A Guazzo, S Marchesin, L Menotti, I Trescato, A Helena, ... CEUR WORKSHOP PROCEEDINGS 3497, 1123-1164, 2023 | 21 | 2023 |
| Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review E Tavazzi, E Longato, M Vettoretti, H Aidos, I Trescato, C Roversi, ... Artificial Intelligence in Medicine 142, 102588, 2023 | 18 | 2023 |
| Unsupervised analysis of morphological ECG features for attention detection C Carreiras, A Lourenço, H Aidos, HP da Silva, ALN Fred Computational Intelligence: Revised and Selected Papers of the International …, 2016 | 17 | 2016 |
| Identifying regions of interest for discriminating Alzheimer's disease from mild cognitive impairment H Aidos, J Duarte, A Fred 2014 IEEE International Conference on Image Processing (ICIP), 21-25, 2014 | 16 | 2014 |
| Statistical modeling of dissimilarity increments for d-dimensional data: Application in partitional clustering H Aidos, A Fred Pattern Recognition 45 (9), 3061-3071, 2012 | 16 | 2012 |
| Intelligent disease progression prediction: overview of iDPP@ CLEF 2022 A Guazzo, I Trescato, E Longato, E Hazizaj, D Dosso, G Faggioli, ... International Conference of the Cross-Language Evaluation Forum for European …, 2022 | 14 | 2022 |
| A survey on traffic flow prediction and classification B Gomes, J Coelho, H Aidos Intelligent Systems with Applications, 200268, 2023 | 13 | 2023 |
| Unravelling disease presentation patterns in als using biclustering for discriminative meta-features discovery J Matos, S Pires, H Aidos, M Gromicho, S Pinto, M de Carvalho, ... International Work-Conference on Bioinformatics and Biomedical Engineering …, 2020 | 13 | 2020 |
| Congenital heart disease in adults: Assessmentof functional capacity using cardiopulmonary exercise testing SA Rosa, A Agapito, RM Soares, L Sousa, JA Oliveira, A Abreu, AS Silva, ... Revista Portuguesa de Cardiologia (English Edition) 37 (5), 399-405, 2018 | 13 | 2018 |
| Neighborhood-aware autoencoder for missing value imputation H Aidos, P Tomás 2020 28th European Signal Processing Conference (EUSIPCO), 1542-1546, 2021 | 12 | 2021 |
| Validation of two US risk scores for percutaneous coronary intervention in a single-center Portuguese population of patients with acute coronary syndrome AT Timóteo, AV Monteiro, G Portugal, P Teixeira, H Aidos, ML Ferreira, ... Revista Portuguesa de Cardiologia 35 (2), 73-78, 2016 | 11 | 2016 |
| Semi-supervised consensus clustering for ECG pathology classification H Aidos, A Lourenço, D Batista, SR Bulò, A Fred Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 11 | 2015 |
