Helena Aidos

56 papers B 2C 7Misc 4Journal 11Unranked 31
YearRankTypeTitle / Venue / Authors
2024 J jnl
Biclustering data analysis: a comprehensive survey.
Briefings Bioinform.
Eduardo N. Castanho, Helena Aidos, Sara C. Madeira
2024 B conf
Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis.
ESANN
Miguel Pego Roque, Andreia S. Martins, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, Pedro Tomás, Helena Aidos
2024 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024.
CLEF (2)
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, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2024 J jnl
Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation.
CoRR
Hugo Figueiras, Helena Aidos, Nuno Cruz Garcia
2024 — conf
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
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, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2024 — conf
Predicting the Functional Rating Scale and Self-Assessment Status of ALS Patients with Sensor Data.
CLEF (Working Notes)
Andreia S. Martins, Daniela M. Amaral, Eduardo N. Castanho, Diogo F. Soares, Ruben Branco, Sara C. Madeira, Helena Aidos
2024 — conf
iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
ECIR (6)
Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Barbara Di Camillo, Mamede de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi
2023 J jnl
A survey on traffic flow prediction and classification.
Intell. Syst. Appl.
Bernardo Gomes, José Coelho, Helena Aidos
2023 J jnl
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.
Artif. Intell. Medicine
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, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira, Barbara Di Camillo
2023 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023.
CLEF
Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2023 — conf
Investigating the Impact of Environmental Data on ALS Prognosis with Survival Analysis.
CLEF (Working Notes)
Ruben Branco, Diogo F. Soares, Andreia S. Martins, Joana Barros Valente, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos
2023 — conf
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
2023 — conf
Stacking Deep Learning Models for Early Detection of Wildfire Smoke Plumes.
EUSIPCO
Gonçalo Falcão, Armando M. Fernandes, Nuno C. Garcia, Helena Aidos, Pedro Tomás
2023 J jnl
Super-resolution of magnetic resonance images using Generative Adversarial Networks.
Comput. Medical Imaging Graph.
João Guerreiro, Pedro Tomás, Nuno C. Garcia, Helena Aidos
2023 — conf
Survival Analysis for Multiple Sclerosis: Predicting Risk of Disease Worsening.
CLEF (Working Notes)
Ruben Branco, Joana Barros Valente, Andreia S. Martins, Diogo F. Soares, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos
2023 — conf
iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
ECIR (3)
Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Barbara Di Camillo, Mamede de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi
2022 J jnl
AI in Breast Cancer Imaging: A Survey of Different Applications.
J. Imaging
João Mendes, José Domingues, Helena Aidos, Nuno C. Garcia, Nuno Matela
2022 J jnl
Biclustering fMRI time series: a comparative study.
BMC Bioinform.
Eduardo N. Castanho, Helena Aidos, Sara C. Madeira
2022 — conf
Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity.
CLEF (Working Notes)
Susana Nunes, Rita T. Sousa, Filipa Serrano, Ruben Branco, Diogo F. Soares, Andreia S. Martins, Eleonora Auletta, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos, Catia Pesquita
2022 J jnl
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization.
Data Min. Knowl. Discov.
Helena Aidos
2022 — conf
Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events.
CLEF (Working Notes)
Ruben Branco, Diogo F. Soares, Andreia S. Martins, Eleonora Auletta, Eduardo N. Castanho, Susana Nunes, Filipa Serrano, Rita T. Sousa, Catia Pesquita, Sara C. Madeira, Helena Aidos
2022 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022.
CLEF
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, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro
2022 — conf
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
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, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro
2020 — conf
End-to-End Learning of Video Compression using Spatio-Temporal Autoencoders.
SiPS
Jorge Pessoa, Helena Aidos, Pedro Tomás, Mário A. T. Figueiredo
2020 — conf
Neighborhood-aware autoencoder for missing value imputation.
EUSIPCO
Helena Aidos, Pedro Tomás
2020 — conf
Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery.
IWBBIO
Joana Matos, Sofia Pires, Helena Aidos, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira
2019 — conf
Heart Disease Detection Architecture for Lead I Off-the-Person ECG Monitoring Devices.
EUSIPCO
Pedro Sá, Helena Aidos, Nuno Roma, Pedro Tomás
2018 — conf
On the Exploration of Promising Analog IC Designs via Artificial Neural Networks.
SMACD
Nuno Lourenço, Joao Rosa, Ricardo Martins, Helena Aidos, António Canelas, Ricardo Povoa, Nuno Horta
2018 — conf
Protecting the ECG Signal in Cloud-based User Identification System - A Dissimilarity Representation Approach.
BIOSIGNALS
Diana Batista, Helena Aidos, Ana L. N. Fred, Joana Santos, Rui Cruz Ferreira, Rui César das Neves
2017 — conf
Consensus Clustering for Cancer Gene Expression Data - Large-Scale Analysis using Evidence Accumulation Approach.
BIOINFORMATICS
Isidora Sasic, Sanja Brdar, Tatjana Loncar-Turukalo, Helena Aidos, Ana L. N. Fred
2017 J jnl
Discrimination of Alzheimer's Disease using longitudinal information.
Data Min. Knowl. Discov.
Helena Aidos, Ana L. N. Fred
2017 C conf
ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability.
ICPRAM
Afonso Eduardo, Helena Aidos, Ana L. N. Fred
2016 C conf
Efficient Evidence Accumulation Clustering for Large Datasets.
ICPRAM
Diogo Silva, Helena Aidos, Ana L. N. Fred
2015 — conf
A Novel Data Representation Based on Dissimilarity Increments.
SIMBAD
Helena Aidos, Ana L. N. Fred
2015 — conf
Semi-Supervised Consensus Clustering for ECG Pathology Classification.
ECML/PKDD (3)
Helena Aidos, André Lourenço, Diana Batista, Samuel Rota Bulò, Ana L. N. Fred
2014 — conf
A family of hierarchical clustering algorithms based on high-order dissimilarities.
EUSIPCO
Helena Aidos, Ana L. N. Fred
2014 — conf
Diagnosing Alzheimer's Disease: Automatic Extraction and Selection of Coherent Regions in FDG-PET Images.
BIOSTEC (Selected Papers)
Helena Aidos, João M. M. Duarte, Ana L. N. Fred
2014 C conf
Feature Extraction in Pet Images for the Diagnosis of Alzheimer's Disease.
ICPRAM
João M. M. Duarte, Helena Aidos, Ana L. N. Fred
2014 — conf
Finding Coherent Regions in PET Images for the Diagnosis of Alzheimer's Disease.
BIOIMAGING
Helena Aidos, João M. M. Duarte, Ana L. N. Fred
2014 B conf
Identifying regions of interest for discriminating Alzheimer's disease from mild cognitive impairment.
ICIP
Helena Aidos, João M. M. Duarte, Ana L. N. Fred
2014 C conf
Learning Similarities by Accumulating Evidence in a Probabilistic Way.
CIARP
Helena Aidos, Ana L. N. Fred
2013 Misc conf
Dissimilarity Increments Distribution in the Evidence Accumulation Clustering Framework.
IbPRIA
Helena Aidos, Ana L. N. Fred
2013 C conf
Evidence Accumulation Approach applied to EEG Analysis.
ICPRAM
Helena Aidos, Carlos Carreiras, Hugo Silva, Ana L. N. Fred
2013 — conf
Exploratory EEG Analysis using Clustering and Phase-locking Factor.
BIOSIGNALS
Carlos Carreiras, Helena Aidos, Hugo Silva, Ana L. N. Fred
2013 — ch.
Learning Similarities from Examples Under the Evidence Accumulation Clustering Paradigm.
Similarity-Based Pattern Analysis and Recognition
Ana L. N. Fred, André Lourenço, Helena Aidos, Samuel Rota Bulò, Nicola Rebagliati, Mário A. T. Figueiredo, Marcello Pelillo
2013 C conf
Morphological ECG Analysis for Attention Detection.
IJCCI
Carlos Carreiras, André Lourenço, Helena Aidos, Hugo Plácido da Silva, Ana L. N. Fred
2013 C conf
The Area under the ROC Curve as a Criterion for Clustering Evaluation.
ICPRAM
Helena Aidos, Robert P. W. Duin, Ana L. N. Fred
2012 — conf
Classification using High Order Dissimilarities in Non-euclidean Spaces.
ICPRAM (1)
Helena Aidos, Ana L. N. Fred, Robert P. W. Duin
2012 J jnl
Statistical modeling of dissimilarity increments for d-dimensional data: Application in partitional clustering.
Pattern Recognit.
Helena Aidos, Ana L. N. Fred
2012 — conf
k-Nearest Neighbor Classification Using Dissimilarity Increments.
ICIAR (1)
Helena Aidos, Ana L. N. Fred
2011 — conf
A Study of Embedding Methods under the Evidence Accumulation Framework.
SIMBAD
Helena Aidos, Ana L. N. Fred
2011 — conf
Hierarchical Clustering with High Order Dissimilarities.
MLDM
Helena Aidos, Ana L. N. Fred
2011 Misc conf
On the Distribution of Dissimilarity Increments.
IbPRIA
Helena Aidos, Ana L. N. Fred
2010 Misc conf
An information retrieval perspective on visualization of gene expression data with ontological annotation.
ICASSP
Jaakko Peltonen, Helena Aidos, Nils Gehlenborg, Alvis Brazma, Samuel Kaski
2010 J jnl
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization.
J. Mach. Learn. Res.
Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Helena Aidos, Samuel Kaski
2009 Misc conf
Supervised nonlinear dimensionality reduction by Neighbor Retrieval.
ICASSP
Jaakko Peltonen, Helena Aidos, Samuel Kaski