Zobrazeno 1 - 10
of 4 041
pro vyhledávání: '"Settore 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:
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
Autor:
Yikui Zhai, Jinrui Liao, Bing Sun, Ziyi Jiang, Zilu Ying, Wenqi Wang, Angelo Genovese, Vincenzo Piuri, Fabio Scotti
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16:3915-3928
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b466d397085da1ba70685cbde4f3a4b1
https://doi.org/10.1109/jstars.2023.3267824
https://doi.org/10.1109/jstars.2023.3267824