Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Loredana Caruccio"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-33 (2024)
Abstract In this paper, we analyze the worldwide perception of the Russia-Ukraine conflict (RU conflict for short) on the Twitter platform. The study involved collecting over 17 million tweets written in 63 different languages and conducting a multi-
Externí odkaz:
https://doaj.org/article/89d7b48fabc046e383ca6d749d3afc11
Autor:
Loredana Caruccio, Stefano Cirillo, Giuseppe Polese, Giandomenico Solimando, Shanmugam Sundaramurthy, Genoveffa Tortora
Publikováno v:
Intelligent Systems with Applications, Vol 21, Iss , Pp 200336- (2024)
In the last year, Large Language Models (LLMs) have transformed the way of tackling problems, opening up new perspectives in various works and research fields, due to their ability to generate and understand human languages. In this regard, the recen
Externí odkaz:
https://doaj.org/article/007d943a27f34cc9b965cec7d4eca8fb
Publikováno v:
IEEE Access, Vol 8, Pp 215343-215354 (2020)
IoT data analytics can potentially bring benefits to several critical application domains, especially in healthcare. In fact, especially in emergency rooms the detection of critical patients can be a critical task when the number of patients to be mo
Externí odkaz:
https://doaj.org/article/82499957b78a4c6eb849fe88daf63fa3
Publikováno v:
IEEE Access, Vol 8, Pp 205034-205050 (2020)
Nowadays, new laws and regulations, such as the European General Data Protection Regulation (GDPR), require companies to define privacy policies complying with the preferences of their users. The regulation prescribes expensive penalties for those co
Externí odkaz:
https://doaj.org/article/07a888121ae149e8bae78a37ae2c7560
Publikováno v:
Information Sciences, 613, 1-32. Elsevier
The application of machine learning techniques to large and distributed data archives might result in the disclosure of sensitive information about the data subjects. Data often contain sensitive identifiable information, and even if these are protec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d290a395608e0d96e38aaff4954b6ab
http://www.scopus.com/inward/record.url?scp=85138065724&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85138065724&partnerID=8YFLogxK
Autor:
Loredana Caruccio, Stefano Cirillo
Publikováno v:
Journal of Visual Language and Computing. 2020:7-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa43219d9e6d39ac866438b345b2570b
https://doi.org/10.18293/jvlc2020-n2-007
https://doi.org/10.18293/jvlc2020-n2-007
Publikováno v:
Data Mining and Knowledge Discovery. 34:443-477
Relaxed functional dependencies (rfds) are properties expressing important relationships among data. Thanks to the introduction of approximations in data comparison and/or validity, they can capture constraints useful for several purposes, such as th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d271c27929869dc6bf8b1602e7b14e0
https://doi.org/10.1007/s10618-019-00667-7
https://doi.org/10.1007/s10618-019-00667-7
Publikováno v:
Expert Systems with Applications. 131:190-207
The main purpose of video-based event recognition is to interpret activities or behaviors within video sequences, in order to detect and isolate specific events, which have to be readily recognized and prompted to the people responsible for their mon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::084fe8a26d88bffae6c19157e842b47b
https://doi.org/10.1016/j.eswa.2019.04.031
https://doi.org/10.1016/j.eswa.2019.04.031
Publikováno v:
Multimedia Tools and Applications. 78:33151-33167
Data dependencies represent one of the key metadata to characterize and profile multimedia and big data sources. With respect to traditional databases, in these new contexts it has been necessary to introduce some approximations in the definition of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0d992b09da26d5ed0568efdcb73f86a
https://doi.org/10.1007/s11042-019-07951-0
https://doi.org/10.1007/s11042-019-07951-0