| 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 | 303 | 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 | 23 | 2017 |
| Statistical modeling of dissimilarity increments for d-dimensional data: Application in partitional clustering H Aidos, A Fred Pattern Recognition 45 (9), 3061-3071, 2012 | 15 | 2012 |
| 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 | 9 | 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 | 9 | 2014 |
| Hierarchical clustering with high order dissimilarities H Aidos, A Fred International Workshop on Machine Learning and Data Mining in Pattern …, 2011 | 8 | 2011 |
| Discrimination of Alzheimer’s Disease using longitudinal information H Aidos, A Fred Data Mining and Knowledge Discovery 31 (4), 1006-1030, 2017 | 7 | 2017 |
| Unsupervised Analysis of Morphological ECG Features for Attention Detection C Carreiras, A Lourenço, H Aidos, HP da Silva, ALN Fred Computational Intelligence, 437-453, 2016 | 7 | 2016 |
| Semi-supervised consensus clustering for ECG pathology classification H Aidos, A Lourenço, D Batista, SR Bulò, A Fred Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015 | 7 | 2015 |
| Supervised nonlinear dimensionality reduction by neighbor retrieval J Peltonen, H Aidos, S Kaski 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 7 | 2009 |
| 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 | 6 | 2018 |
| 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 | 6 | 2018 |
| Learning similarities from examples under the evidence accumulation clustering paradigm ALN Fred, A Lourenço, H Aidos, SR Bulò, N Rebagliati, MAT Figueiredo, ... Similarity-Based Pattern Analysis and Recognition, 85-117, 2013 | 6 | 2013 |
| Efficient Evidence Accumulation Clustering for Large Datasets. D Silva, H Aidos, ALN Fred ICPRAM, 367-374, 2016 | 4 | 2016 |
| Morphological ECG Analysis for Attention Detection. C Carreiras, A Lourenço, H Aidos, HP da Silva, ALN Fred IJCCI, 381-390, 2013 | 4 | 2013 |
| Exploratory EEG Analysis using Clustering and Phase-locking Factor. C Carreiras, H Aidos, H Silva, ALN Fred BIOSIGNALS, 79-88, 2013 | 4 | 2013 |
| On the distribution of dissimilarity increments H Aidos, A Fred Iberian Conference on Pattern Recognition and Image Analysis, 192-199, 2011 | 4 | 2011 |
| 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 | 3 | 2020 |
| Finding Coherent Regions in PET Images for the Diagnosis of Alzheimer's Disease. H Aidos, JMM Duarte, ALN Fred BIOIMAGING, 12-18, 2014 | 3 | 2014 |
| The Area under the ROC Curve as a Criterion for Clustering Evaluation. H Aidos, RPW Duin, ALN Fred ICPRAM, 276-280, 2013 | 3 | 2013 |
