• Diogo F. Soares, Rui Henriques, Sara C. Madeira (2024). Comprehensive Assessment of Triclustering Algorithms for Three-Way Temporal Data Analysis. Pattern Recognition, 110303. https://doi.org/10.1016/j.patcog.2024.110303
• Daniela M. Amaral, Diogo F. Soares, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, Pedro Tomás & Helena Aidos, (2024). Temporal stratification of amyotrophic lateral sclerosis patients using disease progression patterns. Nat Commun 15, 5717. https://doi.org/10.1038/s41467-024-49954-y
• Diogo F. Soares, Rui Henriques, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, (2023). Triclustering-based classification of longitudinal data for prognostic prediction: targeting relevant clinical endpoints in amyotrophic lateral sclerosis. Scientific Reports, 13, ISSN 2045-2322. eISSN . http://dx.doi.org/10.1038/s41598-023-33223-x
• Diogo F. Soares, Rui Henriques, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, (2022). Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis. Journal of Biomedical Informatics, 134, ISSN 1532-0464. eISSN . http://dx.doi.org/10.1016/j.jbi.2022.104172
• Erica Tavazzi, Enrico Longato, Martina Vettoretti, Helena Aidos, Isotta Trescato, Chiara Roversi, Andreia S. Martins, Eduardo N. Castanho, Ruben Branco, Diogo F. Soares, (...), Piero Fariselli, Sara C. Madeira, Barbara Di Camillo, (2023). Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. Artificial Intelligence in Medicine, ISSN 0933-3657. eISSN . http://dx.doi.org/10.1016/j.artmed.2023.102588

Ver todas as Publicações