default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSAFE@CoNEXT 2023: Paris, France
- Kamal Singh, Abbas Bradai, Pham Tran Anh Quang, Antonio Pescapè, Claudio Fiandrino:
Proceedings of the 2023 on Explainable and Safety Bounded, Fidelitous, Machine Learning for Networking, SAFE 2023, Paris, France, 8 December 2023. ACM 2023 [contents] - Yassine Hadjadj-Aoul
:
The Quest for Safe Deep Reinforcement Learning-driven Network Slicing: Progress, Pitfalls and Potential. 1 - Jan Luxemburk, Karel Hynek:
DataZoo: Streamlining Traffic Classification Experiments. 3-7 - Robin Duraz, David Espes, Julien Francq, Sandrine Vaton:
Explainability-based Metrics to Help Cyber Operators Find and Correct Misclassified Cyberattacks. 9-15 - Matteo Ruggeri, Alice Dethise, Marco Canini:
On Detecting Biased Predictions with Post-hoc Explanation Methods. 17-23 - Alfredo Nascita, Francesco Cerasuolo, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè:
Explainable Mobile Traffic Classification: the Case of Incremental Learning. 25-31
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-06-21 00:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
