Gianni D'ANGELO | Publications
Gianni D'ANGELO Publications
2024 | |
Articolo in rivista | |
An explainable model for predicting Worsening Heart Failure based on genetic programming COMPUTERS IN BIOLOGY AND MEDICINE. Vol. 182. Pag.109110-109110 ISSN:0010-4825. | |
Visco, V.; Robustelli, A.; Loria, F.; Rispoli, A.; Palmieri, F.; Bramanti, A.; Carrizzo, A.; Vecchione, C.; Palmieri, F.; Ciccarelli, M.; D'Angelo, G. | |
Digital Object Identifier (DOI): 10.1016/j.compbiomed.2024.109110 Codice identificativo SCOPUS: 2-s2.0-85203149093 | |
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354452A hound-inspired pre-hybridized genetic approach for router placement in wireless mesh networks
2024 | |
Articolo in rivista | |
A hound-inspired pre-hybridized genetic approach for router placement in wireless mesh networks APPLIED SOFT COMPUTING. Vol. 166. Pag.112159-112159 ISSN:1568-4946. | |
D'Angelo, G.; Palmieri, F. | |
Digital Object Identifier (DOI): 10.1016/j.asoc.2024.112159 Codice identificativo ISI: WOS:001312143800001 Codice identificativo SCOPUS: 2-s2.0-85202345449 | |
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2024 | |
Contributo in Atti di convegno | |
An Android Malware Multi-class Classification Explained Through Genetic Programming. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND Springer Science and Business Media Deutschland GmbH Vol.14816, Pag.53-70 ISBN:9783031652226; 9783031652233 | |
24th International Conference on Computational Science and Its Applications, ICCSA 2024 vnm 2024 | |
D'Angelo, G.; Palmieri, F.; Robustelli, A. | |
Digital Object Identifier (DOI): 10.1007/978-3-031-65223-3_4 Codice identificativo ISI: WOS:001294336600004 Codice identificativo SCOPUS: 2-s2.0-85201009623 | |
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2024 | |
Prefazione/Postfazione | |
Preface, CEUR Workshop Proceedings, 2024. In Proceedings of the 8th Italian Conference on Cyber Security (ITASEC 2024), Salerno, Italy, April 8-12, 2024. Pag.1-720 ISSN:1613-0073. | |
D'Angelo, G.; Luccio, F.; Palmieri, F. | |
Versione online | |
Codice identificativo SCOPUS: 2-s2.0-85199519658 | |
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