Helena Aidos
Helena Aidos
LASIGE, Dep. Informática, Faculdade de Ciências, Universidade de Lisboa
Email confirmado em fc.ul.pt
Citado por
Citado por
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
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
Hierarchical clustering with high order dissimilarities
H Aidos, A Fred
International Workshop on Machine Learning and Data Mining in Pattern …, 2011
Discrimination of Alzheimer’s Disease using longitudinal information
H Aidos, A Fred
Data Mining and Knowledge Discovery 31 (4), 1006-1030, 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
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
Supervised nonlinear dimensionality reduction by neighbor retrieval
J Peltonen, H Aidos, S Kaski
2009 IEEE International Conference on Acoustics, Speech and Signal …, 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
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
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
Efficient Evidence Accumulation Clustering for Large Datasets.
D Silva, H Aidos, ALN Fred
ICPRAM, 367-374, 2016
Morphological ECG Analysis for Attention Detection.
C Carreiras, A Lourenço, H Aidos, HP da Silva, ALN Fred
IJCCI, 381-390, 2013
Exploratory EEG Analysis using Clustering and Phase-locking Factor.
C Carreiras, H Aidos, H Silva, ALN Fred
BIOSIGNALS, 79-88, 2013
On the distribution of dissimilarity increments
H Aidos, A Fred
Iberian Conference on Pattern Recognition and Image Analysis, 192-199, 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
Finding Coherent Regions in PET Images for the Diagnosis of Alzheimer's Disease.
H Aidos, JMM Duarte, ALN Fred
BIOIMAGING, 12-18, 2014
The Area under the ROC Curve as a Criterion for Clustering Evaluation.
H Aidos, RPW Duin, ALN Fred
ICPRAM, 276-280, 2013
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