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

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

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., Van Abeelen, K., Davies, R., Menè, R., Heilbron, F., Perelli, F., et al. (2023). An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 229(February 2023) [10.1016/j.cmpb.2022.107321]. 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