RAL - Reinforcement Active Learning for Network Traffic Monitoring and Analysis

Sarah Wassermann (Speaker), Thibaut Cuvelier, Pedro Casas-Hernandez

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Poster Presentation › peer-review

Original language	English
Title of host publication	Proceedings of the ACM SIGCOMM 2020 Conference Posters and Demos
Pages	36-38
Number of pages	3
DOIs	https://doi.org/10.1145/3405837.3411390
Publication status	Published - 2020
Event	ACM SIGCOMM 2020 Conference - Duration: 11 Aug 2020 → 13 Aug 2020

Conference	ACM SIGCOMM 2020 Conference
Period	11/08/20 → 13/08/20

Research Field

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title = "RAL - Reinforcement Active Learning for Network Traffic Monitoring and Analysis",

author = "Sarah Wassermann and Thibaut Cuvelier and Pedro Casas-Hernandez",

year = "2020",

doi = "10.1145/3405837.3411390",

language = "English",

isbn = "978-1-4503-8048-5",

pages = "36--38",

booktitle = "Proceedings of the ACM SIGCOMM 2020 Conference Posters and Demos",

note = "ACM SIGCOMM 2020 Conference ; Conference date: 11-08-2020 Through 13-08-2020",

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TY - CHAP

T1 - RAL - Reinforcement Active Learning for Network Traffic Monitoring and Analysis

AU - Cuvelier, Thibaut

AU - Casas-Hernandez, Pedro

A2 - Wassermann, Sarah

PY - 2020

Y1 - 2020

U2 - 10.1145/3405837.3411390

DO - 10.1145/3405837.3411390

M3 - Conference Proceedings with Poster Presentation

SN - 978-1-4503-8048-5

SP - 36

EP - 38

BT - Proceedings of the ACM SIGCOMM 2020 Conference Posters and Demos

T2 - ACM SIGCOMM 2020 Conference

Y2 - 11 August 2020 through 13 August 2020

ER -