Zobrazeno 1 - 10
of 6 635
pro vyhledávání: '"INF/01 - INFORMATICA"'
Publikováno v:
European Journal of Operational Research. 308:422-435
The outbreak of SARS-CoV-2 and the corresponding surge in patients with severe symptoms of COVID-19 put a strain on health systems, requiring specialized material and human resources, often exceeding the locally available ones. Motivated by a real em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe17d41eb07c592a08c15efe8c41c144
https://doi.org/10.1016/j.ejor.2022.11.024
https://doi.org/10.1016/j.ejor.2022.11.024
Autor:
Endre Bjørndal, Mette Helene Bjørndal, Stefano Coniglio, Marc-Fabian Körner, Christina Leinauer, Martin Weibelzahl
Publikováno v:
European Journal of Operational Research. 307:887-909
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01534761898b30ec2d7677e7defcb63d
https://doi.org/10.1016/j.ejor.2022.09.012
https://doi.org/10.1016/j.ejor.2022.09.012
Publikováno v:
Computer Communications. 203:180-191
In fog computing customers’ microservices may demand access to connected objects, data sources and computing resources outside the domain of their fog provider In practice, the locality of connected objects renders mandatory a multi-domain approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdb7f4518011c74c18fa476029286839
https://doi.org/10.1016/j.comcom.2023.02.012
https://doi.org/10.1016/j.comcom.2023.02.012
Publikováno v:
IEEE Internet of Things Journal. 10:4770-4782
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b36a49da1d99125cfc17f0ef710232cf
https://doi.org/10.1109/jiot.2022.3221080
https://doi.org/10.1109/jiot.2022.3221080
Autor:
Nicola Bianchessi
Publikováno v:
Networks. 81:499-513
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb6b52991b82f756167442ae4bdacfdd
https://doi.org/10.1002/net.22145
https://doi.org/10.1002/net.22145
Autor:
Di Liello, Luca
In this Thesis, we leverage unsupervised raw data to develop more efficient pre-training objectives and self-supervised tasks that align well with downstream applications. In the first part, we present three alternative objectives to BERT’s Masked
Externí odkaz:
https://hdl.handle.net/11572/389313
Autor:
Juergen Landes
Publikováno v:
International Journal of Approximate Reasoning. 153:144-171
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7fc7acbae6176fff9861a2e8067f019
https://doi.org/10.1016/j.ijar.2022.11.016
https://doi.org/10.1016/j.ijar.2022.11.016
Publikováno v:
Neurocomputing. 520:152-170
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69445cf185e4b5779f063e0933a14b78
https://doi.org/10.1016/j.neucom.2022.11.072
https://doi.org/10.1016/j.neucom.2022.11.072
Publikováno v:
IEEE Computational Intelligence Magazine. 18:22-31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ea5931a52ba9e4fafe6cd43a546c747
https://doi.org/10.1109/mci.2022.3222096
https://doi.org/10.1109/mci.2022.3222096
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::320ccc3f01d820e3ad892bfb13d16395
https://doi.org/10.3233/jcs-210133
https://doi.org/10.3233/jcs-210133