hepsim:public
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* Machine learning could help reveal undiscovered particles within data from the Large Hadron Collider, 2024, April [[https:// | * Machine learning could help reveal undiscovered particles within data from the Large Hadron Collider, 2024, April [[https:// | ||
* ADFilter - a web tool for anomaly detection using autoencoders based on deep unsupervised neural networks, ATL-COM-PHYS-2024-469, | * ADFilter - a web tool for anomaly detection using autoencoders based on deep unsupervised neural networks, ATL-COM-PHYS-2024-469, | ||
- | | + | * S.V. Chekanov, W. Islam, R. Zhang, N. Luongo, " |
+ | * S.V. Chekanov, S. Eno, S. Magill, C. Palmer, L. Wu, M.Y.Aamir. " | ||
+ | * S.V.Chekanov, | ||
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* S.Chekanov et al, ADFilter: Online tool for processing BSM models using trained deep learning autoencoder. ATLAS Machine Learning Workshop, | * S.Chekanov et al, ADFilter: Online tool for processing BSM models using trained deep learning autoencoder. ATLAS Machine Learning Workshop, | ||
* S.Chekanov et al, The initial studies of tracking using the CLD detector for FCC-ee. The FCCee detector meeting, CERN, Sep 28, 2024 https:// | * S.Chekanov et al, The initial studies of tracking using the CLD detector for FCC-ee. The FCCee detector meeting, CERN, Sep 28, 2024 https:// | ||
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hepsim/public.1727448832.txt.gz · Last modified: 2024/09/27 14:53 by hepsim17