Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Andrea Ciapetti"'
Autor:
Tommaso Nicoletti, Daniele Toti, Ernesto La Mattina, Nauman Shahid, Anastasios Dimou, Petros Daras, Andrea Ciapetti, Michael McElligott, Francesco Grassi, David Gutierrez-Perez, Giuseppe Vella
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687861
ICPR Workshops (7)
ICPR Workshops (7)
SURVANT is an innovative video archive investigation system that aims to drastically reduce the time required to examine large amounts of video content. It can collect the videos relevant to a specific case from heterogeneous repositories in a seamle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7cb947ecc48e2787cb304587da6725f
http://hdl.handle.net/10807/178515
http://hdl.handle.net/10807/178515
Autor:
Andrea Ciapetti, Giulia Ruggiero, Luigi Lomasto, Daniele Toti, Rosario Di Florio, Giuseppe Miscione
Publikováno v:
Enterprise Information Systems ISBN: 9783030407827
ICEIS (Revised Selected Papers)
ICEIS (Revised Selected Papers)
This work describes an automatic text classification method implemented in a software tool called NETHIC, which takes advantage of the inner capabilities of highly-scalable neural networks combined with the expressiveness of hierarchical taxonomies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78cfa5eb3f58d6f07539e6a0cea5ef63
http://hdl.handle.net/10807/163941
http://hdl.handle.net/10807/163941
Publikováno v:
MultiMedia Modeling ISBN: 9783030057152
MMM (2)
MMM (2)
This paper presents a knowledge discovery framework, with the purpose of detecting terrorist presence in terms of potential suspects and networks on the open and Deep Web. The framework combines information extraction methods and tools and natural la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a781dd0280753d0c4b3c9bdf8348fd9
https://doi.org/10.1007/978-3-030-05716-9_10
https://doi.org/10.1007/978-3-030-05716-9_10
NETHIC: A System for Automatic Text Classification using Neural Networks and Hierarchical Taxonomies
Autor:
Rosario Di Florio, Luigi Lomasto, Daniele Toti, Giuseppe Miscione, Andrea Ciapetti, Giulia Ruggiero
Publikováno v:
Scopus-Elsevier
ICEIS (1)
ICEIS (1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0df1749b6fd3d500b0500fea427465c
http://www.scopus.com/inward/record.url?eid=2-s2.0-85067447556&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85067447556&partnerID=MN8TOARS