Supervised nonlinear dimensionality reduction by Neighbor Retrieval. - Jaakko Peltonen; Helena Aidos; Samuel Kaski (ICASSP, 2009)

An information retrieval perspective on visualization of gene expression data with ontological annotation. - Jaakko Peltonen; Helena Aidos; Nils Gehlenborg; Alvis Brazma; Samuel Kaski (ICASSP, 2010)

Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization. - Jarkko Venna; Jaakko Peltonen; Kristian Nybo; Helena Aidos; Samuel Kaski (J. Mach. Learn. Res., 2010)

On the Distribution of Dissimilarity Increments. - Helena Aidos; Ana L. N. Fred (IbPRIA, 2011)

Hierarchical Clustering with High Order Dissimilarities. - Helena Aidos; Ana L. N. Fred (MLDM, 2011)

A Study of Embedding Methods under the Evidence Accumulation Framework. - Helena Aidos; Ana L. N. Fred (SIMBAD, 2011)

k-Nearest Neighbor Classification Using Dissimilarity Increments. - Helena Aidos; Ana L. N. Fred (ICIAR (1), 2012)

Classification using High Order Dissimilarities in Non-euclidean Spaces. - Helena Aidos; Ana L. N. Fred; Robert P. W. Duin (ICPRAM (1), 2012)

Statistical modeling of dissimilarity increments for d-dimensional data: Application in partitional clustering. - Helena Aidos; Ana L. N. Fred (Pattern Recognit., 2012)

Exploratory EEG Analysis using Clustering and Phase-locking Factor. - Carlos Carreiras; Helena Aidos; Hugo Silva 001; Ana L. N. Fred (BIOSIGNALS, 2013)

Dissimilarity Increments Distribution in the Evidence Accumulation Clustering Framework. - Helena Aidos; Ana L. N. Fred (IbPRIA, 2013)

Evidence Accumulation Approach applied to EEG Analysis. - Helena Aidos; Carlos Carreiras; Hugo Silva 001; Ana L. N. Fred (ICPRAM, 2013)

The Area under the ROC Curve as a Criterion for Clustering Evaluation. - Helena Aidos; Robert P. W. Duin; Ana L. N. Fred (ICPRAM, 2013)

Morphological ECG Analysis for Attention Detection. - Carlos Carreiras; André Lourenço; Helena Aidos; Hugo Plácido da Silva; Ana L. N. Fred (IJCCI, 2013)

Learning Similarities from Examples Under the Evidence Accumulation Clustering Paradigm. - Ana L. N. Fred; André Lourenço; Helena Aidos; Samuel Rota Bulò; Nicola Rebagliati; Mário A. T. Figueiredo; Marcello Pelillo (Similarity-Based Pattern Analysis and Recognition, 2013)

Finding Coherent Regions in PET Images for the Diagnosis of Alzheimer's Disease. - Helena Aidos; João M. M. Duarte; Ana L. N. Fred (BIOIMAGING, 2014)

Diagnosing Alzheimer's Disease: Automatic Extraction and Selection of Coherent Regions in FDG-PET Images. - Helena Aidos; João M. M. Duarte; Ana L. N. Fred (BIOSTEC (Selected Papers), 2014)

Learning Similarities by Accumulating Evidence in a Probabilistic Way. - Helena Aidos; Ana L. N. Fred (CIARP, 2014)

A family of hierarchical clustering algorithms based on high-order dissimilarities. - Helena Aidos; Ana L. N. Fred (EUSIPCO, 2014)

Identifying regions of interest for discriminating Alzheimer's disease from mild cognitive impairment. - Helena Aidos; João M. M. Duarte; Ana L. N. Fred (ICIP, 2014)

Feature Extraction in Pet Images for the Diagnosis of Alzheimer's Disease. - João M. M. Duarte; Helena Aidos; Ana L. N. Fred (ICPRAM, 2014)

Semi-Supervised Consensus Clustering for ECG Pathology Classification. - Helena Aidos; André Lourenço; Diana Batista; Samuel Rota Bulò; Ana L. N. Fred (ECML/PKDD (3), 2015)

A Novel Data Representation Based on Dissimilarity Increments. - Helena Aidos; Ana L. N. Fred (SIMBAD, 2015)

Efficient Evidence Accumulation Clustering for Large Datasets. - Diogo Silva; Helena Aidos; Ana L. N. Fred (ICPRAM, 2016)

Consensus Clustering for Cancer Gene Expression Data - Large-Scale Analysis using Evidence Accumulation Approach. - Isidora Sasic; Sanja Brdar; Tatjana Loncar-Turukalo; Helena Aidos; Ana L. N. Fred (BIOINFORMATICS, 2017)

ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability. - Afonso Eduardo; Helena Aidos; Ana L. N. Fred (ICPRAM, 2017)

Discrimination of Alzheimer's Disease using longitudinal information. - Helena Aidos; Ana L. N. Fred (Data Min. Knowl. Discov., 2017)

Protecting the ECG Signal in Cloud-based User Identification System - A Dissimilarity Representation Approach. - Diana Batista; Helena Aidos; Ana L. N. Fred; Joana Santos; Rui Cruz Ferreira; Rui César das Neves (BIOSIGNALS, 2018)

On the Exploration of Promising Analog IC Designs via Artificial Neural Networks. - Nuno Lourenço 003; Joao Rosa; Ricardo Martins 003; Helena Aidos; António Canelas; Ricardo Povoa; Nuno Horta (SMACD, 2018)

Heart Disease Detection Architecture for Lead I Off-the-Person ECG Monitoring Devices. - Pedro Sá; Helena Aidos; Nuno Roma; Pedro Tomás (EUSIPCO, 2019)

Neighborhood-aware autoencoder for missing value imputation. - Helena Aidos; Pedro Tomás (EUSIPCO, 2020)

Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery. - Joana Matos; Sofia Pires; Helena Aidos; Marta Gromicho; Susana Pinto; Mamede de Carvalho; Sara C. Madeira (IWBBIO, 2020)

End-to-End Learning of Video Compression using Spatio-Temporal Autoencoders. - Jorge Pessoa; Helena Aidos; Pedro Tomás; Mário A. T. Figueiredo (SiPS, 2020)

Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events. - Ruben Branco; Diogo F. Soares; Andreia S. Martins; Eleonora Auletta; Eduardo N. Castanho; Susana Nunes; Filipa Serrano; Rita Torres Sousa; Catia Pesquita; Sara C. Madeira; Helena Aidos (CLEF (Working Notes), 2022)

Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. - Alessandro Guazzo; Isotta Trescato; Enrico Longato; Enidia Hazizaj; Dennis Dosso; Guglielmo Faggioli; Giorgio Maria Di Nunzio; Gianmaria Silvello; Martina Vettoretti; Erica Tavazzi; Chiara Roversi; Piero Fariselli; et al. (CLEF (Working Notes), 2022)

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022. - Alessandro Guazzo; Isotta Trescato; Enrico Longato; Enidia Hazizaj; Dennis Dosso; Guglielmo Faggioli; Giorgio Maria Di Nunzio; Gianmaria Silvello; Martina Vettoretti; Erica Tavazzi; Chiara Roversi; Piero Fariselli; et al. (CLEF, 2022)

Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity. - Susana Nunes; Rita Torres Sousa; Filipa Serrano; Ruben Branco; Diogo F. Soares; Andreia S. Martins; Eleonora Auletta; Eduardo N. Castanho; Sara C. Madeira; Helena Aidos; Catia Pesquita (CLEF (Working Notes), 2022)

Biclustering fMRI time series: a comparative study. - Eduardo N. Castanho; Helena Aidos; Sara C. Madeira (BMC Bioinform., 2022)

Exploiting second-order dissimilarity representations for hierarchical clustering and visualization. - Helena Aidos (Data Min. Knowl. Discov., 2022)

AI in Breast Cancer Imaging: A Survey of Different Applications. - João Mendes; José Domingues; Helena Aidos; Nuno C. Garcia; Nuno Matela (J. Imaging, 2022)

Investigating the Impact of Environmental Data on ALS Prognosis with Survival Analysis. - Ruben Branco; Diogo F. Soares; Andreia S. Martins; Joana Barros Valente; Eduardo N. Castanho; Sara C. Madeira; Helena Aidos (CLEF (Working Notes), 2023)

Survival Analysis for Multiple Sclerosis: Predicting Risk of Disease Worsening. - Ruben Branco; Joana Barros Valente; Andreia S. Martins; Diogo F. Soares; Eduardo N. Castanho; Sara C. Madeira; Helena Aidos (CLEF (Working Notes), 2023)

Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. - Guglielmo Faggioli; Alessandro Guazzo; Stefano Marchesin 001; Laura Menotti; Isotta Trescato; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; et al. (CLEF (Working Notes), 2023)

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023. - Guglielmo Faggioli; Alessandro Guazzo; Stefano Marchesin 001; Laura Menotti; Isotta Trescato; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; et al. (CLEF, 2023)

iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. - Helena Aidos; Roberto Bergamaschi; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Barbara Di Camillo; Mamede de Carvalho; Nicola Ferro 001; Piero Fariselli; Jose Manuel García Dominguez; Sara C. Madeira; Eleonora Tavazzi (ECIR (3), 2023)

Stacking Deep Learning Models for Early Detection of Wildfire Smoke Plumes. - Gonçalo Falcão; Armando M. Fernandes; Nuno C. Garcia; Helena Aidos; Pedro Tomás (EUSIPCO, 2023)

BRAINTEASER ALS and MS Datasets. - Guglielmo Faggioli; Alessandro Guazzo; Stefano Marchesin 001; Laura Menotti; Isotta Trescato; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; et al. (Zenodo, 2023)

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. - Erica Tavazzi; Enrico Longato; Martina Vettoretti; Helena Aidos; Isotta Trescato; Chiara Roversi; Andreia S. Martins; Eduardo N. Castanho; Ruben Branco; Diogo F. Soares; Alessandro Guazzo; Giovanni Birolo; et al. (Artif. Intell. Medicine, 2023)

Super-resolution of magnetic resonance images using Generative Adversarial Networks. - João Guerreiro 004; Pedro Tomás; Nuno C. Garcia; Helena Aidos (Comput. Medical Imaging Graph., 2023)

iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. - Guglielmo Faggioli; Alessandro Guazzo; Stefano Marchesin 001; Laura Menotti; Isotta Trescato; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; et al. (Zenodo, 2023)

A survey on traffic flow prediction and classification. - Bernardo Gomes; José Coelho 002; Helena Aidos (Intell. Syst. Appl., 2023)

Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. - Giovanni Birolo; Pietro Bosoni; Guglielmo Faggioli; Helena Aidos; Roberto Bergamaschi; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; Giorgio Maria Di Nunzio; Piero Fariselli; Jose Manuel García Dominguez; et al. (CLEF (Working Notes), 2024)

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024. - Giovanni Birolo; Pietro Bosoni; Guglielmo Faggioli; Helena Aidos; Roberto Bergamaschi; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; Giorgio Maria Di Nunzio; Piero Fariselli; Jose Manuel García Dominguez; et al. (CLEF (2), 2024)

Predicting the Functional Rating Scale and Self-Assessment Status of ALS Patients with Sensor Data. - Andreia S. Martins; Daniela M. Amaral; Eduardo N. Castanho; Diogo F. Soares; Ruben Branco; Sara C. Madeira; Helena Aidos (CLEF (Working Notes), 2024)

iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. - Helena Aidos; Roberto Bergamaschi; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Barbara Di Camillo; Mamede de Carvalho; Nicola Ferro 001; Piero Fariselli; Jose Manuel García Dominguez; Sara C. Madeira; Eleonora Tavazzi (ECIR (6), 2024)

Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis. - Miguel Pego Roque; Andreia S. Martins; Marta Gromicho; Mamede de Carvalho; Sara C. Madeira; Pedro Tomás; Helena Aidos (ESANN, 2024)

Biclustering data analysis: a comprehensive survey. - Eduardo N. Castanho; Helena Aidos; Sara C. Madeira (Briefings Bioinform., 2024)

Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation. - Hugo Figueiras; Helena Aidos; Nuno Cruz Garcia (CoRR, 2024)

BRAINTEASER ALS and MS Datasets. - Guglielmo Faggioli; Stefano Marchesin 001; Laura Menotti; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Pietro Bosoni; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; Giorgio Maria Di Nunzio; et al. (Zenodo, 2024)

iDPP@CLEF 2024 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. - Giovanni Birolo; Pietro Bosoni; Guglielmo Faggioli; Helena Aidos; Roberto Bergamaschi; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; Giorgio Maria Di Nunzio; Piero Fariselli; Jose Manuel García Dominguez; et al. (Zenodo, 2024)

BRAINTEASER ALS and MS Datasets. - Guglielmo Faggioli; Stefano Marchesin 001; Laura Menotti; Helena Aidos; Roberto Bergamaschi; Giovanni Birolo; Pietro Bosoni; Paola Cavalla; Adriano Chiò; Arianna Dagliati; Mamede de Carvalho; Giorgio Maria Di Nunzio; et al. (Zenodo, 2025)