Danilo CAVALIERE | Publications
Danilo CAVALIERE Publications
| 2020 | |
| Articolo in rivista | |
| Collective scenario understanding in a multi-vehicle system by consensus decision making IEEE TRANSACTIONS ON FUZZY SYSTEMS. Vol. 28, Issue 9. Pag.1984-1995 ISSN:1063-6706. | |
| Cavaliere, Danilo; Morente-Molinera, Juan Antonio; Loia, Vincenzo; Senatore, Sabrina; Herrera-Viedma, Enrique | |
| Versione online | |
| Digital Object Identifier (DOI): 10.1109/TFUZZ.2019.2928787 Codice identificativo ISI: WOS:000566682000008 Codice identificativo SCOPUS: 2-s2.0-85089725334 | |
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| 2020 | |
| Articolo in rivista | |
| An agent-based modeling for collective scene criticality assessment in multi-UV systems JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING. Pag.1-1 ISSN:1868-5137. | |
| Cavaliere, D.; Morente-Molinera, J. A.; Senatore, S.; Herrera-Viedma, E. | |
| Versione online | |
| Digital Object Identifier (DOI): 10.1007/s12652-020-01830-5 Codice identificativo ISI: WOS:000518075800002 Codice identificativo SCOPUS: 2-s2.0-85081598550 | |
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| 2020 | |
| Contributo in Atti di convegno | |
| OntoDrift: A Semantic Drift Gauge for Ontology Evolution Monitoring. In: CEUR Workshop Proceedings Virtual, Online; CEUR-WS Vol.2821, Pag.1-10 | |
| 6th Workshop on Managing the Evolution and Preservation of the Data Web, MEPDaW 2020; Virtual, Online; 1 November 2020 | |
| Capobianco, Giuseppe.; Cavaliere, Danilo.; Senatore, Sabrina. | |
| Versione online | |
| Codice identificativo SCOPUS: 2-s2.0-85102639367 | |
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| 2020 | |
| Contributo in Atti di convegno | |
| Towards a layered agent-modeling of IoT devices to precision agriculture. In: IEEE International Conference on Fuzzy Systems 2020 Institute of Electrical and Electronics Engineers Inc. Vol.2020, Pag.1-8 ISBN:978-1-7281-6932-3 | |
| 2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 Glasgow; United Kingdom; 19-24 July 2020 | |
| Cavaliere, D.; Loia, V.; Senatore, S. | |
| Digital Object Identifier (DOI): 10.1109/FUZZ48607.2020.9177771 Codice identificativo ISI: WOS:000698733400191 Codice identificativo SCOPUS: 2-s2.0-85090496996 | |
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| 2020 | |
| Contributo in Atti di convegno | |
| Exploiting a multi-device knowledge meshing to agent-based activitytracking. In: 2020 {IEEE} Symposium Series on Computational Intelligence, {SSCI}2020, Canberra, Australia, December 1-4, 2020 IEEE Pag.2576-2583 ISBN:978-1-7281-2547-3 | |
| 2020 IEEE Symposium Series on Computational Intelligence, SSCI-2020 Canberra, Australia December 1-4, 2020 | |
| Cavaliere, Danilo; Senatore, Sabrina | |
| Versione online | |
| Digital Object Identifier (DOI): 10.1109/SSCI47803.2020.9308220 Codice identificativo ISI: WOS:000682772902082 Codice identificativo SCOPUS: 2-s2.0-85099682841 | |
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