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2020 – today
- 2025
[c7]Kamil Jerábek, Josef Koumar, Jirí Setinský
, Jaroslav Pesek:
Explainable Anomaly Detection in Network Traffic Using LLM. NOMS 2025: 1-6- [c6]Josef Koumar, Jaroslav Pesek, Kamil Jerábek, Tomás Cejka:
Towards Building Network Outlier Detection System for Network Traffic Monitoring. NOMS 2025: 1-6 - [c5]Jaroslav Pesek, Kensuke Fukuda, Tomás Cejka:
Interpretable Threat Detection with Evidential Classifier: The MQTT Case. NOMS 2025: 1-11 - [c4]Jaroslav Pesek, Jan Luxemburk, Karel Hynek:
Lightweight Traffic Classification: A Simple Baseline Matching Deep Learning Performance. TMA 2025: 1-4 - [i3]Kamil Jerábek, Jan Luxemburk, Richard Plný, Josef Koumar, Jaroslav Pesek, Karel Hynek:
When Simple Model Just Works: Is Network Traffic Classification in Crisis? CoRR abs/2506.08655 (2025) - 2024
- [j1]Josef Koumar, Karel Hynek, Jaroslav Pesek, Tomás Cejka:
NetTiSA: Extended IP flow with time-series features for universal bandwidth-constrained high-speed network traffic classification. Comput. Networks 240: 110147 (2024) - [c3]Dominik Soukup, Jaroslav Pesek, Lukás Hejcman, David Benes, Tomás Cejka:
TCI: A system for distributed network monitoring, troubleshooting and dataset creation. NOMS 2024: 1-6 - 2023
- [c2]Jaroslav Pesek, Dominik Soukup, Tomás Cejka:
Active Learning Framework For Long-term Network Traffic Classification. CCWC 2023: 893-899 - [c1]Tomás Benes, Jaroslav Pesek, Tomás Cejka:
Look at my Network: An Insight into the ISP Backbone Traffic. CNSM 2023: 1-7 - [i2]Josef Koumar, Karel Hynek, Jaroslav Pesek, Tomás Cejka:
NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification. CoRR abs/2310.05530 (2023) - 2022
- [i1]Jaroslav Pesek, Dominik Soukup, Tomás Cejka:
Active Learning Framework to Automate NetworkTraffic Classification. CoRR abs/2211.08399 (2022)
Coauthor Index
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