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) [10.1007/978-3-031-90065-5_10]. Detail

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

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]. Detail

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. 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