Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis
- DOI
- 10.1109/tnsm.2020.3037486
- Published
- 2021-06
- Container
- IEEE Transactions on Network and Service Management
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnsm.2020.3037486,
title = {Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis},
author = {Sarah Wassermann and Thibaut Cuvelier and Pavol Mulinka and Pedro Casas},
year = {2021},
journal = {IEEE Transactions on Network and Service Management},
doi = {10.1109/tnsm.2020.3037486},
url = {https://doi.org/10.1109/tnsm.2020.3037486}
}RIS
TY - JOUR TI - Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis AU - Sarah Wassermann AU - Thibaut Cuvelier AU - Pavol Mulinka AU - Pedro Casas PY - 2021 JO - IEEE Transactions on Network and Service Management DO - 10.1109/tnsm.2020.3037486 UR - https://doi.org/10.1109/tnsm.2020.3037486 ER -
APA
Wassermann, S., Cuvelier, T., Mulinka, P., & Casas, P. (2021). Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis. IEEE Transactions on Network and Service Management. https://doi.org/10.1109/tnsm.2020.3037486
Source records
- crossref · retrieved 2026-09-26T09:19:54.129Z