Výsledky vyhledávání - "bayesian autoencoder"

Explaining Probabilistic Bayesian Neural Networks for Cybersecurity Intrusion Detection

Autoři: Tengfei Yang Yuansong Qiao Brian Lee

Zdroj: IEEE Access, Vol 12, Pp 97004-97016 (2024)
IEEE Access

Témata: Bayesian explanation, uncertainty quantification, explainability, aleatoric and epistemic uncertainties, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences, Bayesian autoencoder, TK1-9971

Přístupová URL adresa: https://doaj.org/article/68d19046fec441b2af9adfeb613824ca

Bayesian autoencoders for anomaly detection : design, uncertainty quantification, and explainability with industrial applications

Autoři: Yong, Bang Xiang Brintrup, Alexandra

Přispěvatelé: Yong, Bang Xiang Brintrup, Alexandra

Témata: anomaly detection, bayesian autoencoder, explainable ai, uncertainty quantification, unsupervised neural networks

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.871684

Bayesian Autoencoders for Drift Detection in Industrial Environments

Autoři: Yong, BX Fathy, Y Brintrup, A a další

Přispěvatelé: Yong, BX Fathy, Y Brintrup, A a další

Zdroj: 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT. :627-631

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, deep learning, 02 engineering and technology, uncertainty, sensors, Bayesian autoencoder, Machine Learning (cs.LG)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/pdf/2107.13249
http://arxiv.org/abs/2107.13249
http://dblp.uni-trier.de/db/conf/metroi/metroi2020.html#YongFB20
https://ieeexplore.ieee.org/document/9138306/
https://arxiv.org/abs/2107.13249
https://dblp.uni-trier.de/db/journals/corr/corr2107.html#abs-2107-13249
https://arxiv.org/abs/2107.13249v1
http://export.arxiv.org/pdf/2107.13249
https://arxiv.org/pdf/2107.13249
http://ui.adsabs.harvard.edu/abs/2021arXiv210713249Y/abstract

Drift detection methods for data streams ; Poikkeamien tunnistaminen aikasarjadatasta

Autoři: Hakkarainen, Riina Keisala, Jukka Perustieteiden korkeakoulu a další

Přispěvatelé: Hakkarainen, Riina Keisala, Jukka Perustieteiden korkeakoulu a další

Témata: drift detection, anomaly detection, regression, Bayesian autoencoder, statistical tests

Popis souboru: 48 + 6; application/pdf

Relation: https://aaltodoc.aalto.fi/handle/123456789/120924

Dostupnost: https://aaltodoc.aalto.fi/handle/123456789/120924

Bayesian Autoencoders for Drift Detection in Industrial Environments

Autoři: Yong, BX Fathy, Y Brintrup, A

Témata: uncertainty, Bayesian autoencoder, deep learning, sensors, Conference Object

URL: https://www.repository.cam.ac.uk/handle/1810/326149