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Helena Aidos
Helena Aidos
LASIGE, Dep. Informática, Faculdade de Ciências, Universidade de Lisboa
Verified email at fc.ul.pt
Title
Cited by
Cited by
Year
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
3532010
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
452017
Statistical modeling of dissimilarity increments for d-dimensional data: Application in partitional clustering
H Aidos, A Fred
Pattern Recognition 45 (9), 3061-3071, 2012
162012
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
122020
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
122018
Supervised nonlinear dimensionality reduction by neighbor retrieval
J Peltonen, H Aidos, S Kaski
2009 IEEE international conference on acoustics, speech and signal …, 2009
112009
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
102016
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
102014
Unsupervised analysis of morphological ECG features for attention detection
C Carreiras, A Lourenço, H Aidos, HP Silva, ALN Fred
Computational Intelligence, 437-453, 2016
92016
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
82018
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
82015
Hierarchical clustering with high order dissimilarities
H Aidos, A Fred
International Workshop on Machine Learning and Data Mining in Pattern …, 2011
82011
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
72022
Discrimination of Alzheimer’s Disease using longitudinal information
H Aidos, A Fred
Data Mining and Knowledge Discovery 31 (4), 1006-1030, 2017
62017
The Area under the ROC Curve as a Criterion for Clustering Evaluation.
H Aidos, RPW Duin, ALN Fred
ICPRAM, 276-280, 2013
62013
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
62013
Neighborhood-aware autoencoder for missing value imputation
H Aidos, P Tomás
2020 28th European Signal Processing Conference (EUSIPCO), 1542-1546, 2021
52021
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
52019
Morphological ECG Analysis for Attention Detection.
C Carreiras, A Lourenço, H Aidos, HP da Silva, ALN Fred
IJCCI, 381-390, 2013
52013
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
42020
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