BORROTTI MATTEO

Pedrazzini, E., Zangirolami, V., Migliorati, S., Borrotti, M. (2026). Flexible Beta: A Novel Policy Distribution for Proximal Policy Optimization. In F. Martella, S. Arima, M.F. Marino, C. Mollica (a cura di), Statistical Science: From Theory to Applied Research IV SIS-FENStatS 2026, Short Papers, Contributed Sessions 3 (pp. 236-242). Springer Nature [10.1007/978-3-032-30665-4_39]. Detail

Pedrazzini, E., Zangirolami, V., Migliorati, S., Borrotti, M. (2026). Beta-Distributed Proximal Policy Optimization for Autonomous Driving with Grad-CAM Explainability. In I. Maglogiannis, L. Iliadis, M. Zervakis, A. Papaleonidas (a cura di), Artificial Intelligence Applications and Innovations 22nd IFIP WG 12.5 International Conference, AIAI 2026, Chania, Crete, Greece, July 16-19, 2026, Proceedings, Part II (pp. 364-377). Springer Nature [10.1007/978-3-032-30801-6_26]. Detail

Bissiri, P., Borrotti, M. (2026). Martingale posteriors for generative classifiers. STATISTICS & PROBABILITY LETTERS, 231(April 2026), 1-6 [10.1016/j.spl.2025.110627]. Detail

Ghisoni, F., Borrotti, M., Mariani, P. (2026). A large scale statistical analysis of quantum and classical neural networks in the medical domain. SCIENTIFIC REPORTS, 16(1) [10.1038/s41598-025-33825-7]. Detail

Borrotti, M., Ghisoni, F., Mariani, P. (2025). Quantum neural networks for medical data: A statistical analysis of quantum performance. In Book of abstract. DSSR 2025 - Towards a holistic understanding of society: bridging Social Sciences, Statistics and Computational Sciences. Società Italiana di Statistica. Detail