Helena Aidos
Helena Aidos
LASIGE & Instituto de Telecomunicações,Dep. Informática,Faculdade de Ciências,Universidade de Lisboa
Verified email at fc.ul.pt
TitleCited byYear
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 (Feb), 451-490, 2010
Statistical modeling of dissimilarity increments for d-dimensional data: Application in partitional clustering
H Aidos, A Fred
Pattern Recognition 45 (9), 3061-3071, 2012
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
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
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
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
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
Discrimination of Alzheimer’s Disease using longitudinal information
H Aidos, A Fred, Alzheimer’s Disease Neuroimaging Initiative
Data Mining and Knowledge Discovery 31 (4), 1006-1030, 2017
Efficient Evidence Accumulation Clustering for Large Datasets.
D Silva, H Aidos, ALN Fred
ICPRAM, 367-374, 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
Exploratory EEG Analysis using Clustering and Phase-locking Factor.
C Carreiras, H Aidos, H Silva, ALN Fred
BIOSIGNALS, 79-88, 2013
The Area under the ROC Curve as a Criterion for Clustering Evaluation.
H Aidos, RPW Duin, ALN Fred
ICPRAM, 276-280, 2013
On the distribution of dissimilarity increments
H Aidos, A Fred
Iberian Conference on Pattern Recognition and Image Analysis, 192-199, 2011
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
Finding Coherent Regions in PET Images for the Diagnosis of Alzheimer's Disease.
H Aidos, JMM Duarte, ALN Fred
BIOIMAGING, 12-18, 2014
Morphological ECG Analysis for Attention Detection.
C Carreiras, A Lourenço, H Aidos, HP da Silva, ALN Fred
IJCCI, 381-390, 2013
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
ECG-based Biometrics using a Deep Autoencoder for Feature Learning
A Eduardo, H Aidos, A Fred
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