Active Learning Framework to Automate NetworkTraffic Classification. - Jaroslav Pesek; Dominik Soukup; Tomás Cejka (CoRR, 2022)

Active Learning Framework For Long-term Network Traffic Classification. - Jaroslav Pesek; Dominik Soukup; Tomás Cejka (CCWC, 2023)

Look at my Network: An Insight into the ISP Backbone Traffic. - Tomás Benes; Jaroslav Pesek; Tomás Cejka (CNSM, 2023)

TCI: A system for distributed network monitoring, troubleshooting and dataset creation. - Dominik Soukup; Jaroslav Pesek; Lukás Hejcman; David Benes; Tomás Cejka (NOMS, 2024)

NetTiSA: Extended IP flow with time-series features for universal bandwidth-constrained high-speed network traffic classification. - Josef Koumar; Karel Hynek; Jaroslav Pesek; Tomás Cejka (Comput. Networks, 2024)

Explainable Anomaly Detection in Network Traffic Using LLM. - Kamil Jerábek; Josef Koumar; Jirí Setinský; Jaroslav Pesek (NOMS, 2025)

Towards Building Network Outlier Detection System for Network Traffic Monitoring. - Josef Koumar; Jaroslav Pesek; Kamil Jerábek; Tomás Cejka (NOMS, 2025)

Interpretable Threat Detection with Evidential Classifier: The MQTT Case. - Jaroslav Pesek; Kensuke Fukuda; Tomás Cejka (NOMS, 2025)

Lightweight Traffic Classification: A Simple Baseline Matching Deep Learning Performance. - Jaroslav Pesek; Jan Luxemburk; Karel Hynek (TMA, 2025)

When Simple Model Just Works: Is Network Traffic Classification in Crisis? - Kamil Jerábek; Jan Luxemburk; Richard Plný; Josef Koumar; Jaroslav Pesek; Karel Hynek (CoRR, 2025)