Helena Aidos
Helena Aidos
LASIGE, Dep. Informática, Faculdade de Ciências, Universidade de Lisboa
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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
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
Statistical modeling of dissimilarity increments for d-dimensional data: Application in partitional clustering
H Aidos, A Fred
Pattern Recognition 45 (9), 3061-3071, 2012
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
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
Supervised nonlinear dimensionality reduction by neighbor retrieval
J Peltonen, H Aidos, S Kaski
2009 IEEE international conference on acoustics, speech and signal …, 2009
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
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
Unsupervised analysis of morphological ECG features for attention detection
C Carreiras, A Lourenço, H Aidos, HP Silva, ALN Fred
Computational Intelligence, 437-453, 2016
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
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
Hierarchical clustering with high order dissimilarities
H Aidos, A Fred
International Workshop on Machine Learning and Data Mining in Pattern …, 2011
Overview of iDPP@ CLEF 2022: the intelligent disease progression prediction challenge
A Guazzo, I Trescato, E Longato, E Hazizaj, D Dosso, G Faggioli, ...
CLEF, 1613-0073, 2022
Discrimination of Alzheimer’s Disease using longitudinal information
H Aidos, A Fred
Data Mining and Knowledge Discovery 31 (4), 1006-1030, 2017
The Area under the ROC Curve as a Criterion for Clustering Evaluation.
H Aidos, RPW Duin, ALN Fred
ICPRAM, 276-280, 2013
Learning similarities from examples under the evidence accumulation clustering paradigm
ALN Fred, A Lourenço, H Aidos, S Rota Bulò, N Rebagliati, ...
Similarity-Based Pattern Analysis and Recognition, 85-117, 2013
Neighborhood-aware autoencoder for missing value imputation
H Aidos, P Tomás
2020 28th European Signal Processing Conference (EUSIPCO), 1542-1546, 2021
Heart disease detection architecture for lead I off-the-person ECG monitoring devices
P Sá, H Aidos, N Roma, P Tomás
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
Morphological ECG Analysis for Attention Detection.
C Carreiras, A Lourenço, H Aidos, HP da Silva, ALN Fred
IJCCI, 381-390, 2013
Unravelling disease presentation patterns in ALS using biclustering for discriminative meta-features discovery
J Matos, S Pires, H Aidos, M Gromicho, S Pinto, M Carvalho, SC Madeira
International Work-Conference on Bioinformatics and Biomedical Engineering …, 2020
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