Výsledky vyhľadávania - "Bayesian autoencoder"

Explaining Probabilistic Bayesian Neural Networks for Cybersecurity Intrusion Detection

Autori: Tengfei Yang Yuansong Qiao Brian Lee

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

Predmety: 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

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

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

Autori: Yong, Bang Xiang Brintrup, Alexandra

Prispievatelia: Yong, Bang Xiang Brintrup, Alexandra

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

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

Bayesian Autoencoders for Drift Detection in Industrial Environments

Autori: Yong, BX Fathy, Y Brintrup, A a ďalší

Prispievatelia: Yong, BX Fathy, Y Brintrup, A a ďalší

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

Predmety: 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 súboru: application/pdf

Prístupová 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

Autori: Hakkarainen, Riina Keisala, Jukka Perustieteiden korkeakoulu a ďalší

Prispievatelia: Hakkarainen, Riina Keisala, Jukka Perustieteiden korkeakoulu a ďalší

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

Popis súboru: 48 + 6; application/pdf

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

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

Bayesian Autoencoders for Drift Detection in Industrial Environments

Autori: Yong, BX Fathy, Y Brintrup, A

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

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