![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
SAFE@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
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
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.