Artikkelit, joihin on yleisen käytön mandaatti - Cristian LumezanuLisätietoja
Saatavilla jossain: 6
A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data
C Zhang, D Song, Y Chen, X Feng, C Lumezanu, W Cheng, J Ni, B Zong, ...
Proceedings of the AAAI conference on artificial intelligence 33 (01), 1409-1416, 2019
Mandaatit: US National Science Foundation, US Department of Defense
Magneto: Unified fine-grained path control in legacy and OpenFlow hybrid networks
C Jin, C Lumezanu, Q Xu, H Mekky, ZL Zhang, G Jiang
Proceedings of the Symposium on SDN Research, 75-87, 2017
Mandaatit: US National Science Foundation, US Department of Defense
A microscopic view of bursts, buffer contention, and loss in data centers
E Ghabashneh, Y Zhao, C Lumezanu, N Spring, S Sundaresan, S Rao
Proceedings of the 22nd ACM Internet Measurement Conference, 567-580, 2022
Mandaatit: US National Science Foundation
Deep federated anomaly detection for multivariate time series data
W Zhu, D Song, Y Chen, W Cheng, B Zong, T Mizoguchi, C Lumezanu, ...
2022 IEEE International Conference on Big Data (Big Data), 1-10, 2022
Mandaatit: US National Science Foundation, US National Institutes of Health
Polygravity: Traffic usage accountability via coarse-grained measurements in multi-tenant data centers
H Baek, C Jin, G Jiang, C Lumezanu, J Van der Merwe, N Xia, Q Xu
Proceedings of the 2017 Symposium on Cloud Computing, 309-322, 2017
Mandaatit: US National Science Foundation
Clairvoyant Networks
C Jin, C Lumezanu, ZL Zhang, H Chen
2019 Network Traffic Measurement and Analysis Conference (TMA), 89-96, 2019
Mandaatit: US National Science Foundation, US Department of Defense
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