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Josef Koumar
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2020 – today
- 2025
[c8]Kamil Jerábek, Josef Koumar, Jirí Setinský
, Jaroslav Pesek:
Explainable Anomaly Detection in Network Traffic Using LLM. NOMS 2025: 1-6
[c7]Josef Koumar, Jaroslav Pesek, Kamil Jerábek, Tomás Cejka:
Towards Building Network Outlier Detection System for Network Traffic Monitoring. NOMS 2025: 1-6
[i5]Josef Koumar, Timotej Smolen, Kamil Jerábek, Tomás Cejka:
Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting. CoRR abs/2503.17410 (2025)
[i4]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)
[c6]Lukás Jancicka, Dominik Soukup, Josef Koumar, Filip Nemec, Tomás Cejka:
MFWDD: Model-based Feature Weight Drift Detection Showcased on TLS and QUIC Traffic. CNSM 2024: 1-5
[c5]Lukás Jancicka, Josef Koumar, Dominik Soukup, Tomás Cejka:
Analysis of Statistical Distribution Changes of Input Features in Network Traffic Classification Domain. NOMS 2024: 1-4
[i3]Josef Koumar, Karel Hynek, Tomás Cejka, Pavel Siska:
CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting. CoRR abs/2409.18874 (2024)- 2023
[c4]Josef Koumar
, Karel Hynek, Tomás Cejka:
Network Traffic Classification Based on Single Flow Time Series Analysis. CNSM 2023: 1-7
[c3]Josef Koumar
, Richard Plný, Tomás Cejka:
Enhancing DeCrypto: Finding Cryptocurrency Miners Based on Periodic Behavior. CNSM 2023: 1-7
[c2]Josef Koumar
, Tomás Cejka
:
Unevenly Spaced Time Series from Network Traffic. TMA 2023: 1-4
[i2]Josef Koumar, Karel Hynek, Tomás Cejka:
Network Traffic Classification based on Single Flow Time Series Analysis. CoRR abs/2307.13434 (2023)
[i1]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
[c1]Josef Koumar
, Tomás Cejka:
Network traffic classification based on periodic behavior detection. CNSM 2022: 359-363
Coauthor Index

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