Zobrazeno 1 - 10
of 308
pro vyhledávání: '"Lucchese C."'
Publikováno v:
Journal of Computer Security. 31:57-84
Machine learning has proved invaluable for a range of different tasks, yet it also proved vulnerable to evasion attacks, i.e., maliciously crafted perturbations of inputs designed to force mispredictions. In this article we propose a novel technique
Publikováno v:
In Talanta 1 November 2014 129:422-430
Publikováno v:
Scopus-Elsevier
ICWSM 2016-Tenth International AAAI Conference on Web and Social Media, pp. 72, Cologne, Germany, 17-20 May 2016
info:cnr-pdr/source/autori:Coletto M.; Aiello L.M.; Lucchese C.; Silvestri F./congresso_nome:ICWSM 2016-Tenth International AAAI Conference on Web and Social Media/congresso_luogo:Cologne, Germany/congresso_data:17-20 May 2016/anno:2016/pagina_da:/pagina_a:72/intervallo_pagine:72
ICWSM 2016-Tenth International AAAI Conference on Web and Social Media, pp. 72, Cologne, Germany, 17-20 May 2016
info:cnr-pdr/source/autori:Coletto M.; Aiello L.M.; Lucchese C.; Silvestri F./congresso_nome:ICWSM 2016-Tenth International AAAI Conference on Web and Social Media/congresso_luogo:Cologne, Germany/congresso_data:17-20 May 2016/anno:2016/pagina_da:/pagina_a:72/intervallo_pagine:72
On-line social networks are complex ensembles of inter-linked communities that interact on different topics. Some communities are characterized by what are usually referred to as deviant behaviors, conducts that are commonly considered inappropriate
Publikováno v:
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing.
Publikováno v:
IIR 2022-12th Italian Information Retrieval Workshop 2022, Milano, Italy, 29-30/06/2022
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::cfb8fb3bb838077191ff88c233c585a1
https://openportal.isti.cnr.it/doc?id=people______::f3cd2bd441dc81b0a70822aef49a8282
https://openportal.isti.cnr.it/doc?id=people______::f3cd2bd441dc81b0a70822aef49a8282
Akademický článek
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Publikováno v:
Journal of biological regulators and homeostatic agents. 33(1)
The objective of this work was to provide a review of the literature on studies of stem cells and their potential applications in dental practice. Research included every article published between 2000 and 2018 in PubMed PMC, Scopus, Cochrane Trial L
Publikováno v:
Computational intelligence 34 (2018): 2–29. doi:10.1111/coin.12147
info:cnr-pdr/source/autori:Trani S.; Lucchese C.; Perego R.; Losada D.E.; Ceccarelli D.; Orlando S./titolo:SEL: a unified algorithm for salient entity linking/doi:10.1111%2Fcoin.12147/rivista:Computational intelligence/anno:2018/pagina_da:2/pagina_a:29/intervallo_pagine:2–29/volume:34
info:cnr-pdr/source/autori:Trani S.; Lucchese C.; Perego R.; Losada D.E.; Ceccarelli D.; Orlando S./titolo:SEL: a unified algorithm for salient entity linking/doi:10.1111%2Fcoin.12147/rivista:Computational intelligence/anno:2018/pagina_da:2/pagina_a:29/intervallo_pagine:2–29/volume:34
The entity linking task consists in automatically identifying and linking the entities mentioned in a text to their uniform resource identifiers in a given knowledge base. This task is very challenging due to its natural language ambiguity. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1823a49c566a51c59928879ff5513bac