PAPETTI DANIELE MARIA

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

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]. Dettaglio

Papetti, D., Coelho, V. (2023). Evolving Dilation Functions for Parameter Estimation. 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/CIBCB56990.2023.10264902]. Dettaglio

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]. Dettaglio

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]. Dettaglio