PAPETTI DANIELE MARIA

(2024). Meta-problems in global optimization: new perspectives from Computational Intelligence. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2024). Detail

Papetti, D., Fuchs, C., Coelho, V., Kaymak, U., Nobile, M. (2023). Estimation of Fuzzy Models from Mixed Data Sets with pyFUME. In CIBCB 2023 - 20th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (pp.1-8). Institute of Electrical and Electronics Engineers Inc. [10.1109/CIBCB56990.2023.10264912]. Detail

Coelho, V., Papetti, D., Tangherloni, A., Cazzaniga, P., Besozzi, D., Nobile, M. (2023). The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts. In 2023 IEEE Congress on Evolutionary Computation, CEC 2023 (pp.1-8). Institute of Electrical and Electronics Engineers Inc. [10.1109/CEC53210.2023.10253982]. Detail

Torlasco, C., Papetti, D., Castelletti, S., Sabatini, M., Muscogiuri, G., Badano, L., et al. (2023). Use of artificial intelligence to automatically predict the optimal patient-specific inversion time for late gadolinium enhancement imaging. Tool development and clinical validation. In EACVI 2023 Abstract (pp.153-154). Oxford University Press [10.1093/ehjci/jead119.103]. Detail

Botta, C., Perez, C., Larrayoz, M., Puig, N., Cedena, M., Termini, R., et al. (2023). Large T cell clones expressing immune checkpoints increase during multiple myeloma evolution and predict treatment resistance. NATURE COMMUNICATIONS, 14(1) [10.1038/s41467-023-41562-6]. Detail