| Towards triclustering-based classification of three-way clinical data: A case study on predicting non-invasive ventilation in als D Soares, R Henriques, M Gromicho, S Pinto, M de Carvalho, SC Madeira Practical Applications of Computational Biology & Bioinformatics, 14th …, 2021 | 15 | 2021 |
| Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-Invasive ventilation in Amyotrophic Lateral Sclerosis DF Soares, R Henriques, M Gromicho, M de Carvalho, SC Madeira Journal of Biomedical Informatics 134, 104172, 2022 | 9 | 2022 |
| Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review E Tavazzi, E Longato, M Vettoretti, H Aidos, I Trescato, C Roversi, ... Artificial Intelligence in Medicine, 102588, 2023 | 6 | 2023 |
| Triclustering-based classification of longitudinal data for prognostic prediction: targeting relevant clinical endpoints in amyotrophic lateral sclerosis DF Soares, R Henriques, M Gromicho, M de Carvalho, SC Madeira Scientific Reports 13 (1), 6182, 2023 | 5 | 2023 |
| Survival analysis for multiple sclerosis: predicting risk of disease worsening R Branco, J Valente, A Martins, D Soares, E Castanho, S Madeira, ... CLEF, 2023 | 3 | 2023 |
| Investigating the impact of environmental data on ALS prognosis with survival analysis R Branco, D Soares, A Martins, J Valente, E Castanho, S Madeira, ... CLEF, 2023 | 3 | 2023 |
| Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity. S Nunes, RT Sousa, F Serrano, R Branco, DF Soares, AS Martins, ... CLEF (Working Notes), 1256-1268, 2022 | 3 | 2022 |
| Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events. R Branco, DF Soares, AS Martins, E Auletta, EN Castanho, S Nunes, ... CLEF (Working Notes), 1211-1227, 2022 | 2 | 2022 |
| Comprehensive assessment of triclustering algorithms for three-way temporal data analysis DF Soares, R Henriques, SC Madeira Pattern Recognition, 110303, 2024 | | 2024 |
| Learning Predictive Models from Temporal Three-Way Data Using Triclustering: Applications in Clinical Data Analysis DFM Soares PQDT-Global, 2020 | | 2020 |
Sara C. MadeiraAssociate Professor,LASIGE,Departamento de Informática,Faculdade de Ciências,Universidade de LisboaEmail confirmado em fc.ul.pt
