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

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

Papetti, D., Tangherloni, A., Farinati, D., Cazzaniga, P., Vanneschi, L. (2023). Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming. IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 18(1), 22-31 [10.1109/MCI.2022.3222096]. 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

Papetti, D., Spolaor, S., Nazari, I., Tirelli, A., Leonardi, T., Caprioli, C., et al. (2023). Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning. FRONTIERS IN BIOINFORMATICS, 3 [10.3389/fbinf.2023.1067113]. Detail