Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS. - Diogo F. Soares; Rui Henriques; Marta Gromicho; Susana Pinto; Mamede de Carvalho; Sara C. Madeira (PACBB, 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)

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)

Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis. - Diogo F. Soares; Rui Henriques; Marta Gromicho; Mamede de Carvalho; Sara C. Madeira (J. Biomed. Informatics, 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)

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)

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)

Comprehensive assessment of triclustering algorithms for three-way temporal data analysis. - Diogo F. Soares; Rui Henriques; Sara C. Madeira (Pattern Recognit., 2024)

TriHSPAM: Triclustering heterogeneous longitudinal clinical data using sequential patterns. - Diogo F. Soares; Rui Henriques; Sara C. Madeira (Pattern Recognit., 2025)