PAPETTI DANIELE MARIA

Papetti, D., Tangherloni, A., Coelho, V., Besozzi, D., Cazzaniga, P., Nobile, M. (2025). We Are Sending You Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization. In Applications of Evolutionary Computation 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings, Part II (pp.160-175). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-90065-5_10]. Dettaglio

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

L'Imperio, V., Coelho, V., Cazzaniga, G., Papetti, D., Del Carro, F., Capitoli, G., et al. (2024). Machine learning streamlines the morphometric characterization and multi-class segmentation of nuclei in different follicular thyroid lesions: everything in a NUTSHELL. MODERN PATHOLOGY, 37(12 (December 2024)) [10.1016/j.modpat.2024.100608]. Dettaglio

Papetti, D., Torlasco, C., Nobile, M., Besozzi, D. (2023)Method for Determining an Optimal Inversion Time for an "Inversion Recovery" Radio Frequency Pulse Sequence of a Magnetic Resonance for Acquiring Late Images After Administering a Paramagnetic Contrast Medium. Brevetto No. PCT/EP2023/073475. 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