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Publications for hitomas (59)

2024
Predicting the functional rating scale and self-assessment status of ALS patients with sensor data (2024)
Andreia S. Martins et al., with 7 authors including:
Andreia S. Martins
Daniela M. Amaral
Eduardo N. Castanho
Diogo F. Soares
Ruben Branco
Sara C. Madeira
Helena Aidos
Conference papers
2024
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge (2024)
Giovanni Birolo et al., with 26 authors including:
Helena Aidos
Sara C. Madeira
Conference papers
2024
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024 (2024)
Giovanni Birolo et al., with 26 authors including:
Helena Aidos
Sara C. Madeira
Conference papers
2024
Biclustering Data Analysis: A Comprehensive Survey (2024)
Eduardo Castanho
Helena Aidos
Sara C. Madeira
Journal articles
2024
Temporal stratification of amyotrophic lateral sclerosis patients using disease progression patterns (2024)
Daniela M. Amaral et al., with 7 authors including:
Daniela M. Amaral
Diogo F. Soares
Sara C. Madeira
Helena Aidos
Journal articles
2024
Pathophysiological subtypes of mild cognitive impairment due to Alzheimer’s disease identified by CSF proteomics (2024)
Daniela Moutinho et al., with 13 authors including:
Sara C. Madeira
Helena Aidos
Journal articles
2024
Trajectories Mining for Temporal Phenotyping of ALS Patients using Predictive Clustering (2024)
Irene Aiello
Arianna Dagliati
Helena Aidos
Academic documents
2024
Contrastive Learning For Medical Imaging (2024)
Figueiras, Hugo Miguel Pereira
Garcia, Nuno Cruz
Tomás, Helena Isabel Aidos Lopes
Academic documents
2024
Temporal unsupervised learning models to study ALS progression (2024)
Seguro, Afonso Manuel Tito Lopes
Tomás, Helena Isabel Aidos Lopes
Madeira, Sara Alexandra Cordeiro
Academic documents
2023
A survey on traffic flow prediction and classification (2023)
Bernardo Gomes
José Coelho
Helena Aidos
Journal articles
2023
Stacking Deep Learning Models for Early Detection of Wildfire Smoke Plumes (2023)
Gonçalo Falcão
Armando M. Fernandes
Nuno Garcia
Helena Aidos
Pedro Tomás
Conference papers
2023
Investigating the Impact of Environmental Data on ALS Prognosis with Survival Analysis (2023)
Ruben Branco et al., with 7 authors including:
Diogo F. Soares
Sara C. Madeira
Helena Aidos
Conference papers
2023
Survival analysis for multiple sclerosis: predicting risk of disease worsening (2023)
Ruben Branco et al., with 7 authors including:
Diogo F. Soares
Sara C. Madeira
Helena Aidos
Conference papers
2023
Super-resolution of magnetic resonance images using Generative Adversarial Networks (2023)
João Guerreiro
Pedro Tomás
Nuno Garcia
Helena Aidos
Journal articles
2023
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review (2023)
Erica Tavazzi et al., with 25 authors including:
Helena Aidos
Andreia S. Martins
Eduardo N. Castanho
Ruben Branco
Diogo F. Soares
Sara C. Madeira
Journal articles
2023
Forecasting travel assistance demand with Machine Learning (2023)
Freitas, João Capucho Correia de
Tomás, Helena Isabel Aidos Lopes
Academic documents
2023
Relapse Prediction in Multiple Sclerosis: a Supervised Learning Approach (2023)
Valente, Joana Filipa Barros
Tomás, Helena Isabel Aidos Lopes
Madeira, Sara Alexandra Cordeiro
Academic documents
2023
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023 (2023)
Guglielmo Faggioli et al., with 25 authors including:
Helena Aidos
Sara C. Madeira
Conference papers
2023
Explaining Deep Prognostic Models of Amyotrophic Lateral Sclerosis (2023)
Francisco Malveiro
Pedro Tomás
Helena Aidos
Academic documents
2023
Exploiting diffusion-based data augmentation and a classifier ensemble for early wild fire detection (2023)
Gonçalo Falcão
Pedro Tomás
Helena Aidos
Academic documents
2023
Semi-supervised brain lesion segmentation: a deep learning approach (2023)
Rodrigo Pinto
Pedro Tomás
Helena Aidos
Academic documents
2023
iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge (2023)
Helena Aidos et al., with 12 authors including:
Helena Aidos
Sara C. Madeira
Conference papers
2023
Learning Temporal Patterns for Patient Stratification in ALS (2023)
Daniela Amaral
Pedro Tomás
Helena Aidos
Academic documents
2023
Stratification and Prognosis Prediction in Amyotrophic Lateral Sclerosis Disease (2023)
Fabiana Rapicavoli
Isotta Trescato
Helena Aidos
Barbara Di Camillo
Academic documents
2023
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge (2023)
Guglielmo Faggioli et al., with 25 authors including:
Helena Aidos
Sara C. Madeira
Conference papers
2023
Modelo preditivo para a aquisição do produto Solar da EDP Comercial (2023)
Garcia, Afonso Neves
Madeira, Sara Alexandra Cordeiro
Aidos, Helena
Academic documents
2023
Adversarial Representation Learning for Medical Imaging (2023)
Domingues, José David Miranda Barreira
Garcia, Nuno Ricardo da Cruz
Tomás, Helena Isabel Aidos Lopes
Academic documents
2023
Unsupervised learning models for patient stratification in ALS (2023)
Castilho, Carolina da Silva
Tomás, Helena Isabel Aidos Lopes
Academic documents
2022
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022 (2022)
Alessandro Guazzo et al., with 22 authors including:
Sara C. Madeira
Helena Aidos
Conference papers
2022
AI in Breast Cancer Imaging: A Survey of Different Applications (2022)
João Mendes
José Domingues
Helena Aidos
Nuno Garcia
Nuno Matela
Journal articles
2022
Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity (2022)
Susana Nunes et al., with 11 authors including:
Susana Nunes
Rita T. Sousa
Filipa Serrano
Ruben Branco
Diogo F. Soares
Andreia S. Martins
Eduardo N. Castanho
Sara C. Madeira
Helena Aidos
Catia Pesquita
Conference papers
2022
Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events (2022)
Ruben Branco et al., with 11 authors including:
Diogo F. Soares
Andreia S. Martins
Eduardo N. Castanho
Susana Nunes
Filipa Serrano
Rita T. Sousa
Catia Pesquita
Sara C. Madeira
Helena Aidos
Conference papers
2022
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge (2022)
Alessandro Guazzo et al., with 22 authors including:
Sara C. Madeira
Helena Aidos
Conference papers
2022
Biclustering fMRI time series: a comparative study (2022)
Eduardo N. Castanho
Helena Aidos
Sara C. Madeira
Journal articles
2022
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization (2022)
Helena Aidos
Journal articles
2022
A Study on Generative Augmentation with cGANs for improved Chest X-ray Classification (2022)
Miguel Neves
Helena Aidos
Pedro Tomás
Academic documents
2022
Automatic detection of forest fires: a deep learning approach (2022)
Miguel Gonçalves
Helena Aidos
Pedro Tomás
Academic documents
2022
A Deep Temporal Consensus Clustering approach for Amyotrophic Lateral Sclerosis Patient Stratification (2022)
Miguel Roque
Helena Aidos
Pedro Tomás
Academic documents
2022
Creation of general traffic indicators for the city of Lisbon through the crossing of diversified information (2022)
Gomes, Bernardo Policarpo
Coelho, José Romana Baptista
Tomás, Helena Isabel Aidos Lopes
Academic documents
2022
Identifying subtypes of Mild Cognitive Impairment due to Alzheimer’s disease in cerebrospinal fluid proteomics: a Machine Learning approach (2022)
Alessandro Caula
Sara C. Madeira
Helena Aidos
Pietro Di Lena
Academic documents
2021
Predicting Alzheimer’s disease progression: a deep learning approach (2021)
José Carlos André Nobre
Helena Isabel Aidos Lopes Tomás
Pedro Tomás
Academic documents
2021
Exploiting machine learning techniques to predict Alzheimer’s disease progression (2021)
João Paulo Goulart Pedrosa
Helena Isabel Aidos Lopes Tomás
Pedro Tomás
Academic documents
2021
A mixture-of-experts approach to deep image clustering (2021)
Pedro de Távora Barroco e Moreira dos Santos
Helena Isabel Aidos Lopes Tomás
Pedro Tomás
Academic documents
2021
Generative Deep Clustering with the Hierarchical and Relativistic Wasserstein Autoencoder GAN (2021)
Pedro Tomás
Gustavo Augusto Toscano Morais
Helena Aidos
Academic documents
2021
Neighborhood-aware Autoencoder for Missing Value Imputation (2021)
Helena Aidos
Pedro Tomás
Conference papers
2021
Modeling Alzheimer’s Disease progression using Temporal Data (2021)
Mafalda Cardoso de Lemos Gomes Beleza
Helena Isabel Aidos Lopes Tomás
Academic documents
2020
End-to-End Learning of Video Compression using Spatio-Temporal Autoencoders (2020)
Jorge Pessoa
Helena Aidos
Pedro Tomas
Mario A. T. Figueiredo
Conference papers
2020
Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery (2020)
Joana Matos et al., with 7 authors including:
Joana Matos
Sofia Pires
Helena Aidos
Sara C. Madeira
Conference papers
2019
Heart Disease Detection Architecture for Lead I Off-the-Person ECG Monitoring Devices (2019)
Pedro Sa
Helena Aidos
Nuno Roma
Pedro Tomas
Conference papers
2019
Solução Cloud Based Development - CRM (2019)
João Pedro Costa Ramos dos Santos
Tomás, Helena Isabel Aidos Lopes
Academic documents
2018
On the Exploration of Promising Analog IC Designs via Artificial Neural Networks (2018)
Nuno Lourenco et al., with 7 authors including:
Helena Aidos
Conference papers
2018
Congenital heart disease in adults: Assessmentof functional capacity using cardiopulmonary exercise testing (2018)
Sílvia Aguiar Rosa et al., with 11 authors including:
Helena Aidos
Journal articles
2018
Protecting the ECG Signal in Cloud-based User Identification System - A Dissimilarity Representation Approach (2018)
Diana Batista et al., with 6 authors including:
Helena Aidos
Conference papers
2017
Discrimination of Alzheimer’s Disease using longitudinal information (2017)
Helena Aidos
Ana Fred
Journal articles
2017
ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability (2017)
Afonso Eduardo
Helena Aidos
Ana Fred
Conference papers
2017
Consensus Clustering for Cancer Gene Expression Data - Large-Scale Analysis using Evidence Accumulation Approach (2017)
Isidora Šaši?
Sanja Brdar
Tatjana Lon?ar-Turukalo
Helena Aidos
Ana Fred
Conference papers
2016
Validation of two US risk scores for percutaneous coronary intervention in a single-center Portuguese population of patients with acute coronary syndrome (2016)
Ana T. Timóteo et al., with 7 authors including:
Helena Aidos
Journal articles
2016
Efficient Evidence Accumulation Clustering for Large Datasets (2016)
Diogo Silva
Helena Aidos
Ana Fred
Conference papers
2016
Unsupervised Analysis of Morphological ECG Features for Attention Detection (2016)
Carlos Carreiras
André Lourenço
Helena Aidos
Hugo Plácido da Silva
Ana L. N. Fred
Book chapters