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pro vyhledávání: '"Gupta, Jayant Sen"'
Autor:
Staerman, Guillaume, Adjakossa, Eric, Mozharovskyi, Pavlo, Hofer, Vera, Gupta, Jayant Sen, Clémençon, Stephan
The increasing automation in many areas of the Industry expressly demands to design efficient machine-learning solutions for the detection of abnormal events. With the ubiquitous deployment of sensors monitoring nearly continuously the health of comp
Externí odkaz:
http://arxiv.org/abs/2201.05115
The ability to detect anomalies in time series is considered highly valuable in numerous application domains. The sequential nature of time series objects is responsible for an additional feature complexity, ultimately requiring specialized approache
Externí odkaz:
http://arxiv.org/abs/2005.07031
Generative adversarial networks are a class of generative algorithms that have been widely used to produce state-of-the-art samples. In this paper, we investigate GAN to perform anomaly detection on time series dataset. In order to achieve this goal,
Externí odkaz:
http://arxiv.org/abs/1812.02463
Publikováno v:
ATT 2022: Agents in Traffic and Transportation-Twelfth International Workshop on Agents in Traffic and Transportation co-located with the the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022) Vienna, Austria, July 25, 2022.
12th International Workshop on Agents in Traffic and Transportation (ATT 2022) in conjunction with IJCAI-ECAI 2022
12th International Workshop on Agents in Traffic and Transportation (ATT 2022) in conjunction with IJCAI-ECAI 2022, Jul 2022, Vienne, Austria
12th International Workshop on Agents in Traffic and Transportation (ATT 2022) in conjunction with IJCAI-ECAI 2022
12th International Workshop on Agents in Traffic and Transportation (ATT 2022) in conjunction with IJCAI-ECAI 2022, Jul 2022, Vienne, Austria
co-located with the the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022); International audience; Driven by recent successes in artificial intelligence, new a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4074::4ff9f9d53df1b40b3a165e114d644311
https://hal.science/hal-03930080
https://hal.science/hal-03930080
Publikováno v:
SafeAI 2020
SafeAI 2020, Feb 2020, New York, United States. pp.74-82
SafeAI 2020, Feb 2020, New York, United States. pp.74-82
International audience; Embedding simulation models developed during the design of a platform opens a lot of potential new functionalities but requires additional certification. Usually, these models require too much computing power, take too much ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::627cee0751b027dc921314fc90a23499
https://hal.archives-ouvertes.fr/hal-03165482
https://hal.archives-ouvertes.fr/hal-03165482
Akademický článek
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Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability; August 2022, Vol. 236 Issue: 4 p617-627, 11p
Publikováno v:
2016 IEEE Aerospace Conference; 2016, p1-9, 9p
Publikováno v:
2015 First International Conference on Reliability Systems Engineering (ICRSE); 2015, p1-7, 7p