PAPETTI DANIELE MARIA

Coelho, V., Monza, N., Porto, N., Capitoli, G., L'Imperio, V., Papetti, D., et al. (2026). Improving the Annotation for Spatial Proteomics: A Computational Approach to Enhance Molecular Characterization of Thyroid Nodules. JOURNAL OF PROTEOME RESEARCH [10.1021/acs.jproteome.5c00432]. Dettaglio

Marino, M., Papetti, D., Besozzi, D., Nobile, M. (2026). Local manipulations of the fitness landscape mitigate stall in particle swarm optimization. APPLIED SOFT COMPUTING, 186(Part D, January 2026) [10.1016/j.asoc.2025.114197]. Dettaglio

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

Bacciu, L., Cazzaniga, P., Gallese, C., Fuchs, C., Kaymak, U., Papetti, D., et al. (2025). Our Fruitful Relationship with Sugeno Inference, from FUMOSO to pyFUME. In Information Processing and Management of Uncertainty in Knowledge-Based Systems
20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024, Proceedings, Volume 2 (pp.12-24). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-74000-8_2]. Dettaglio

Monza, N., Porto, N., Coelho, V., L’Imperio, V., Papetti, D., Di Nicoli, F., et al. (2025). Enhancing proteomics characterization of thyroid nodules: a pixel-classifier for mass spectrometry imaging analyses. Intervento presentato a: 12th MS J-day, Scuola Normale di Pisa, Pisa, Italia. Dettaglio