CANDELIERI ANTONIO

Ruolo: 
Ricercatore a tempo determinato
Settore scientifico disciplinare: 
INFORMATICA (INF/01)
Telefono: 
0264487926
Stanza: 

U7, Piano 02, Stanza 2096
Via Bicocca degli Arcimboldi, 8 - 20126 MILANO

Pubblicazioni

  • Ponti, A., Candelieri, A., Giordani, I., & Archetti, F. (2021). A novel graph‐based vulnerability metric in urban network infrastructures: The case of water distribution networks. WATER, 13(11) [10.3390/w13111502]. Dettaglio
  • Archetti, F., Candelieri, A., Galuzzi, B., & Perego, R. (2021). Learning Enabled Constrained Black-Box Optimization. In P.M. Pardalos, V. Rasskazova, & M.N. Vrahatis (a cura di), Black Box Optimization, Machine Learning, and No-Free Lunch Theorems (pp. 1-33). Springer [10.1007/978-3-030-66515-9_1]. Dettaglio
  • Ponti, A., Candelieri, A., & Archetti, F. (2021). A new evolutionary approach to optimal sensor placement in water distribution networks. WATER, 13(12) [10.3390/w13121625]. Dettaglio
  • Ponti, A., Candelieri, A., & Archetti, F. (2021). A Wasserstein distance based multiobjective evolutionary algorithm for the risk aware optimization of sensor placement. INTELLIGENT SYSTEMS WITH APPLICATIONS, 10-11(July–September 2021) [10.1016/j.iswa.2021.200047]. Dettaglio
  • Terragni, S., Fersini, E., Galuzzi, B., Tropeano, P., & Candelieri, A. (2021). OCTIS: Comparing and optimizing topic models is simple!. In EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations (pp.263-270). Association for Computational Linguistics (ACL). Dettaglio