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Publications for sacmadeira (64)

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
Triclustering-based classification of longitudinal data for prognostic prediction: targeting relevant clinical endpoints in amyotrophic lateral sclerosis (2023)
Diogo F. Soares
Rui Henriques
Marta Gromicho
Mamede de Carvalho
Sara C. Madeira
Journal articles
2023
Short-term electricity load forecasting—A systematic approach from system level to secondary substations (2023)
Marco G. Pinheiro
Sara C. Madeira
Alexandre P. Francisco
Journal articles
2023
iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge (2023)
Helena Aidos et al., with 12 authors including:
Helena Aidos
Sara C. Madeira
Book chapters
2022
Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis (2022)
Diogo F. Soares
Rui Henriques
Marta Gromicho
Mamede de Carvalho
Sara C. Madeira
Journal articles
2022
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022 (2022)
Alessandro Guazzo et al., with 22 authors including:
Sara C. Madeira
Helena Aidos
Book chapters
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
Posture Risk Assessment in an Automotive Assembly Line Using Inertial Sensors (2022)
Maria Lua Nunes et al., with 10 authors including:
Sara Madeira
Journal articles
2022
Impact of metrics on biclustering solution and quality: A review (2022)
Marta D.M. Noronha
Rui Henriques
Sara C. Madeira
Luis E. Zárate
Journal articles
2022
Water Consumption Pattern Analysis Using Biclustering: When, Why and How (2022)
Miguel G. Silva
Sara C. Madeira
Rui Henriques
Journal articles
2022
Biclustering fMRI time series: a comparative study (2022)
Eduardo N. Castanho
Helena Aidos
Sara C. Madeira
Journal articles
2022
Shapelets to Classify Energy Demand Time Series (2022)
Marco G. Pinheiro
Sara C. Madeira
Alexandre P. Francisco
Journal articles
2022
Dynamic Bayesian Networks for stratification of disease progression in Amyotrophic Lateral Sclerosis (2022)
Marta Gromicho et al., with 7 authors including:
Sara C. Madeira
Journal articles
2022
Towards reinforcement learning based N­Clustering (2022)
Pedro Giesteira Cotovio
Sara C. Madeira
André V. Carreiro
Academic documents
2022
Prognostic prediction models using Self-Attention for ICU patients developing acute kidney injury (2022)
Pedro Miguel Pereira Domingues
Sara C. Madeira
Nuno Ricardo da Cruz Garcia
Academic documents
2022
Characterization of Behavioural Patterns of Portuguese Blood Donors using Supervised and Unsupervised Learning (2022)
João Miguel Ferreira Castanheira
Sara C. Madeira
Pedro T. G. Monteiro
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
2022
Relapse Prediction in Multiple Sclerosis: a Supervised Learning Approach (2022)
Valente, Joana Filipa Barros
Tomás, Helena Isabel Aidos Lopes
Madeira, Sara Alexandra Cordeiro
Academic documents
2022
Plataforma de apoio a utentes e profissionais de desporto e nutrição (2022)
Costa, Mariana Lourenço
Madeira, Sara Alexandra Cordeiro
Garcia, Nuno Ricardo da Cruz
Academic documents
2022
Deep Learning for predicting disease progression of clinical endpoints in ALS (2022)
Silva, Lucas Barreto
Madeira, Sara Alexandra Cordeiro
Garcia, Nuno Ricardo da Cruz
Academic documents
2022
Modelo preditivo para a aquisição do produto Solar da EDP Comercial (2022)
Garcia, Afonso Neves
Madeira, Sara Alexandra Cordeiro
Aidos, Helena
Academic documents
2022
Better Science Through an Enhanced User Interface with the ALMA Archive (2022)
Dias, António Antunes
Madeira, Sara Alexandra Cordeiro
Matute, Israel
Academic documents
2021
Quantifying the ergonomic risk and biomechanical exposure in automotive assembly lines (2021)
Maria Lua de Coelho Nunes
Sara C. Madeira
André Carreiro
Academic documents
2021
Unravelling Patterns from a Blood Donation Data Set using Machine Learning Approaches (2021)
Francisco Lopes
Sara C. Madeira
Pedro Monteiro
Academic documents
2021
Data-Driven Approaches for ALS Patient Stratification using Clinical Profiles (2021)
Eleonora Auletta
Sara C. Madeira
Cláudia Antunes
Academic documents
2021
Learning models using disease progression patterns for prognostic prediction in ALS (2021)
Andreia Sofia Santos Martins
Sara C. Madeira
Academic documents
2021
Explainable Models of Disease Progression in ALS: Learning from Longitudinal Clinical Data with Recurrent Neural Networks and Deep Model Explanation (2021)
Marcel Müller
Marta Gromicho
Mamede de Carvalho
Sara C. Madeira
Journal articles
2021
Learning Prognostic Models using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis (2021)
Andreia S. Martins
Marta Gromicho
Susana Pinto
Mamede de Carvalho
Sara C. Madeira
Journal articles
2021
Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis (2021)
Tiago Leão
Sara C. Madeira
Marta Gromicho
Mamede de Carvalho
Alexandra M. Carvalho
Journal articles
2021
Aprendizagem automática para classificar a cobertura do solo em espaços verdes urbanos através de dados de satélite (2021)
Adriano António Pinheiro Mão de Ferro
Pedro Miguel Frazão Fernandes Ferreira
Sara Alexandra Cordeiro Madeira
Academic documents
2021
FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns (2021)
Rui Henriques
Sara C. Madeira
Journal articles
2021
Mining Actionable Patterns of Road Mobility From Heterogeneous Traffic Data Using Biclustering (2021)
Francisco Neves
Anna C. Finamore
Sara C. Madeira
Rui Henriques
Journal articles
2021
G-Tric: generating three-way synthetic datasets with triclustering solutions (2021)
João Lobo
Rui Henriques
Sara C. Madeira
Journal articles
2021
Predictive Medicine Using Interpretable Recurrent Neural Networks (2021)
André Ferreira et al., with 6 authors including:
Sara C. Madeira
Conference papers
2020
Profiling ALS disease progression through data mining techniques (2020)
Tiago Leão
Sara C. Madeira
Alexandra Carvalho
Academic documents
2020
Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS (2020)
Diogo Soares et al., with 6 authors including:
Diogo Soares
Sara C. Madeira
Conference papers
2020
Spreading in ALS: The relative impact of upper and lower motor neuron involvement (2020)
Marta Gromicho et al., with 10 authors including:
Manuel Figueiral
Sara C. Madeira
Journal articles
2020
Targeting the uncertainty of predictions at patient-level using an ensemble of classifiers coupled with calibration methods, Venn-ABERS, and Conformal Predictors: A case study in AD (2020)
Telma Pereira
Sandra Cardoso
Manuela Guerreiro
Alexandre Mendonça
Sara C. Madeira
Journal articles
2020
Biclustering FMRI Time Series (2020)
Eduardo Jorge do Nascimento Rolha Castanho
Sara Alexandra Cordeiro
Academic documents
2020
G-Tric: enhancing triclustering evaluation using three-way synthetic datasets with ground truth (2020)
João Pedro Pereira Lobo
Sara Alexandra Cordeiro Madeira
Academic documents
2020
User-Specific Bicluster-based collaborative Filtering (2020)
Miguel Miranda Garção da Silva
Sara Alexandra Cordeiro Madeira
Academic documents
2020
Predicting post-surgical length of stay using machine learning (2020)
Patrícia Andreia Alves Falcão
Sara Madeira
Nuno André da Silva
Academic documents
2020
Learning Predictive Models From Temporal Three-way Data Using Triclustering: Applications in Clinical Data Analysis (2020)
Diogo Filipe Marques Soares
Sara Alexandra Cordeiro Madeira
Academic documents
2020
Patient Stratification Using Clinical and Patient Profiles: Targeting Personalized Prognostic Prediction in ALS (2020)
Sofia Pires
Marta Gromicho
Susana Pinto
Mamede de Carvalho
Sara C. Madeira
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
2020
Modelling the head and neck region for microwave imaging of cervical lymph nodes (2020)
Ana Catarina Domingos Pelicano
Raquel Conceição
Sara Madeira
Academic documents
2019
Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors (2019)
Telma Pereira
Sofia Pires
Marta Gromicho
Mamede de Carvalho
Sara C. Madeira
Conference papers
2019
Prognostic models targeting time to conversion, stable predictors, and reliability at patient-level: Predicting progression from mild cognitive impairment to dementia (2019)
Telma Pereira
Sara C. Madeira
Manuela Guerreiro
Academic documents
2019
An Architecture Based on Fuzzy Systems for Personalized Medicine in ICUs (2019)
Joao M.C. Sousa et al., with 6 authors including:
Sara C. Madeira
Conference papers
2019
Biclustering electronic health records to unravel disease presentation patterns (2019)
Joana Sofia Santos de Matos
Madeira, Sara Alexandra Cordeiro
Academic documents
2019
Understanding ALS patients using semantic similarity (2019)
Teixeira, David Carriço
Pesquita, Cátia
Madeira, Sara Alexandra Cordeiro
Academic documents
2018
Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer’s disease: a feature selection ensemble combining stability and predictability (2018)
Telma Pereira et al., with 7 authors including:
Telma Pereira
Sara C. Madeira
Journal articles
2018
A supervised learning approach for prognostic prediction in ALS using disease progression groups and patient profiles (2018)
Sofia Isabel Ferro Pires
Sara Alexandra Cordeiro Madeira
Academic documents
2018
Predicting Non-invasive Ventilation in ALS Patients Using Stratified Disease Progression Groups (2018)
Sofia Pires
Marta Gromicho
Susana Pinto
Mamede Carvalho
Sara C. Madeira
Conference papers
2018
Triclustering Algorithms for Three-Dimensional Data Analysis: A Comprehensive Survey (2018)
Rui Henriques
Sara C. Madeira
Journal articles
2018
Ensemble learning with Conformal Predictors: Targeting credible predictions of conversion from Mild Cognitive Impairment to Alzheimer's Disease (2018)
Telma Pereira et al., with 6 authors including:
Telma Pereira
Sara C. Madeira
Conference papers
2017
Towards a reliable prediction of conversion from Mild Cognitive Impairment to Alzheimer’s Disease: stepwise learning using time windows (2017)
T Pereira
F Ferreira
M Guerreiro
A Mendonca
Sara C. Madeira
Conference papers
2017
Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows (2017)
Telma Pereira et al., with 9 authors including:
Telma Pereira
Sara C. Madeira
Journal articles
2017
BSig: evaluating the statistical significance of biclustering solutions (2017)
Rui Henriques
Sara C. Madeira
Journal articles
2017
BicPAMS: software for biological data analysis with pattern-based biclustering (2017)
Rui Henriques
Francisco L. Ferreira
Sara C. Madeira
Journal articles
2017
Towards Trustworthy Predictions of Conversion from Mild Cognitive Impairment to Dementia: A Conformal Prediction Approach (2017)
Telma Pereira et al., with 6 authors including:
Telma Pereira
Sara C. Madeira
Book chapters
2017
Improving Prognostic Prediction from Mild Cognitive Impairment to Alzheimer’s Disease Using Genetic Algorithms (2017)
Francisco L. Ferreira et al., with 6 authors including:
Sara C. Madeira
Book chapters