Dottorando in Intelligenza Artificiale , 37o ciclo (2021-2024)
Dipartimento di Automatica e Informatica (DAUIN)
Profilo
Dottorato di ricerca
Argomento di ricerca
Intelligenza Artificiale subsimbolica per l'Industria 4.0
Tutori
- Fabio Antonio Stella
Interessi di ricerca
Biografia
Premi e riconoscimenti
- The Rotary International "Dr. Gabriele Corbelli Scholarship" (2023 - 2024 edition) amounting to €6,000 for young Italian researchers to pursue research projects abroad. (2024)
- The 2nd prize in the "Green Technologies and Applications" for having presented a poster entitled ''Performance of Deep Reinforcement Learning Algorithms in Two-Echelon Inventory Control Systems'' in the Best Student Research "Video & Poster Competition" at IEEE EUROCON 2023 Conference. (2023)
- A $150 award for having presented a poster entitled ''A Deep Reinforcement Learning Approach to Supply Chain Inventory Management'' at the 2nd edition of the Mediterranean Machine Learning (M2L) School. (2022)
Pubblicazioni
Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris
- Stranieri, Francesco; Archetti, Alberto; Robbiano, Enrico; Kouki, Chaaben; Stella, Fabio (2024)
Drug Inventory Control: Human Decisions Versus Deep Reinforcement Learning. In: 3rd Italian Workshop on Artificial Intelligence and Applications for Business and Industries 2023 (AIABI 2023), Rome (Italy), November 9, 2023. ISSN 1613-0073
Contributo in Atti di Convegno (Proceeding) - Stranieri, Francesco; Stella, Fabio; Kouki, Chaaben (2024)
Performance of deep reinforcement learning algorithms in two-echelon inventory control systems. In: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, pp. 1-16. ISSN 0020-7543
Contributo su Rivista - Stranieri, Francesco; Fadda, Edoardo; Stella, Fabio (2024)
Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem. In: INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, vol. 268. ISSN 0925-5273
Contributo su Rivista - Archetti, Alberto; Stranieri, Francesco; Matteucci, Matteo (2023)
Deep Survival Analysis for Healthcare: An Empirical Study on Post-Processing Techniques. In: 2nd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2023), Rome (Italy), November 6, 2023, pp. 99-121. ISSN 1613-0073
Contributo in Atti di Convegno (Proceeding) - Ruggieri, Andrea; Stranieri, Francesco; Stella, Fabio; Scutari, Marco (2020)
Hard and soft EM in Bayesian network learning from incomplete data. In: ALGORITHMS, vol. 13. ISSN 1999-4893
Contributo su Rivista