Ugo FIORE | Publications
Ugo FIORE Publications
219312QoS-aware Big service composition using MapReduce based evolutionary algorithm with guided mutation
2018 | |
Articolo in rivista | |
QoS-aware Big service composition using MapReduce based evolutionary algorithm with guided mutation FUTURE GENERATION COMPUTER SYSTEMS. Vol. 86. Pag.1008-1018 ISSN:0167-739X. | |
Jatoth, Chandrashekar; Gangadharan, G. R.; Fiore, Ugo; Buyya, Rajkumar | |
Digital Object Identifier (DOI): 10.1016/j.future.2017.07.042 Codice identificativo ISI: WOS:000437555800087 Codice identificativo SCOPUS: 2-s2.0-85026630574 | |
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2018 | |
Contributo in volume (Capitolo o Saggio) | |
Tuning a deep learning network for solvency II: Preliminary results. In Mathematical and Statistical Methods for Actuarial Sciences and Finance, MAF 2018 Pag.351-355 Springer International Publishing AG. ISBN:9783319898230; 9783319898247 | |
Fiore, U.; Marino, Z.; Passalacqua, L.; Perla, F.; Scognamiglio, S.; Zanetti, P. | |
Digital Object Identifier (DOI): 10.1007/978-3-319-89824-7_63 Codice identificativo SCOPUS: 2-s2.0-85102494181 | |
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2018 | |
Contributo in volume (Capitolo o Saggio) | |
Optimal partitioning of LLC in CAT-enabled CPUs to prevent side-channel attacks. In AA. VV. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Pag.115-123 Springer Verlag. ISBN:9783030016883 | |
Fiore, Ugo; Florea, Adrian; Gellert, Arpad; Vintan, Lucian; Zanetti, Paolo | |
Versione online | |
Digital Object Identifier (DOI): 10.1007/978-3-030-01689-0_9 Codice identificativo SCOPUS: 2-s2.0-85056479767 | |
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