Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Vicent Sanz Marco"'
Publikováno v:
Applied Sciences, Vol 11, Iss 15, p 6826 (2021)
Facing the increasing quantity of AI models applications, especially in life- and property-related fields, it is crucial for designers to construct safety- and security-critical systems. As a major factor affecting the safety of AI models, corner cas
Externí odkaz:
https://doaj.org/article/8881d140ae6443d19136765c71a80940
Publikováno v:
AITest
Corner cases are a set of high-risk data in deep learning (DL) systems, which could lead to incorrect and unexpected behaviors. To study corner cases' influence on DL models' robustness and stability, this paper implemented a research with corner cas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46aea45a39901500567f2d54c02bd771
https://doi.org/10.1109/aitest52744.2021.00016
https://doi.org/10.1109/aitest52744.2021.00016
Publikováno v:
Applied Sciences, Vol 11, Iss 6826, p 6826 (2021)
Applied Sciences
Volume 11
Issue 15
Applied Sciences
Volume 11
Issue 15
Facing the increasing quantity of AI models applications, especially in life- and property-related fields, it is crucial for designers to construct safety- and security-critical systems. As a major factor affecting the safety of AI models, corner cas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8daaaa35fdf0418da18fb90f14da9078
https://www.mdpi.com/2076-3417/11/15/6826
https://www.mdpi.com/2076-3417/11/15/6826
Publikováno v:
SAC
For an optimal fish raising under captivity conditions, biomass calculation is usually an essential factor to estimate the ideal amount of food required. Usually, this process implies human-animal interaction, however, fish manipulation can affect th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1ba6064f1dd123295157785e4161ed1
https://doi.org/10.1145/3412841.3441889
https://doi.org/10.1145/3412841.3441889
Publikováno v:
WAIN@ICSE
As the major factors affecting the safety of deep learning models, corner cases and related detection are crucial in AI quality assurance for constructing safety- and security-critical systems. The generic corner case researches involve two interesti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2f266f6b533d58cdb90e0ffe6efedc8
http://arxiv.org/abs/2101.02494
http://arxiv.org/abs/2101.02494
Publikováno v:
SEAMS@ICSE
A distributed system's functionality must continuously evolve, especially when environmental context changes. Such required evolution imposes unbearable complexity on system development. An alternative is to make systems able to self-adapt by opportu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b093c40efe732ca23ab8b706469edea3
https://doi.org/10.1145/3387939.3391602
https://doi.org/10.1145/3387939.3391602
Choosing effective strategies before playing against an opponent team is a laborious task and one of the main challenges that American football coaches have to cope with. For this reason, we have developed an artificial intelligent American football
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68df383d890ae98c23f14960e212bb20
http://hdl.handle.net/11025/38422
http://hdl.handle.net/11025/38422
Publikováno v:
LCTES
The recent ground-breaking advances in deep learning networks (DNNs) make them attractive for embedded systems. However, it can take a long time for DNNs to make an inference on resource-limited embedded devices. Offloading the computation into the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ded9906535f5fb686c16ac672001997
https://doi.org/10.1145/3299710.3211336
https://doi.org/10.1145/3299710.3211336
Publikováno v:
LCTES
Heterogeneous multi-core architectures consisting of CPUs and GPUs are commonplace in today’s embedded systems. These architectures offer potential for energy efficient computing if the application task is mapped to the right core. Realizing such p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1164e028b8db7ce194b97f4f500b2fcd
https://doi.org/10.1145/3140582.3081040
https://doi.org/10.1145/3140582.3081040
Deep neural networks ( DNNs ) are becoming a key enabling technology for many application domains. However, on-device inference on battery-powered, resource-constrained embedding systems is often infeasible due to prohibitively long inferencing time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfa6ee5975c865f3e0efc6025892c450