Jaroslav Pesek

11 papers B 5Journal 4Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Explainable Anomaly Detection in Network Traffic Using LLM. NOMS Kamil Jerábek, Josef Koumar, Jirí Setinský, Jaroslav Pesek
2025	B	`conf`	Interpretable Threat Detection with Evidential Classifier: The MQTT Case. NOMS Jaroslav Pesek, Kensuke Fukuda, Tomás Cejka
2025	—	`conf`	Lightweight Traffic Classification: A Simple Baseline Matching Deep Learning Performance. TMA Jaroslav Pesek, Jan Luxemburk, Karel Hynek
2025	B	`conf`	Towards Building Network Outlier Detection System for Network Traffic Monitoring. NOMS Josef Koumar, Jaroslav Pesek, Kamil Jerábek, Tomás Cejka
2025	J	`jnl`	When Simple Model Just Works: Is Network Traffic Classification in Crisis? CoRR Kamil Jerábek, Jan Luxemburk, Richard Plný, Josef Koumar, Jaroslav Pesek, Karel Hynek
2024	J	`jnl`	NetTiSA: Extended IP flow with time-series features for universal bandwidth-constrained high-speed network traffic classification. Comput. Networks Josef Koumar, Karel Hynek, Jaroslav Pesek, Tomás Cejka
2024	B	`conf`	TCI: A system for distributed network monitoring, troubleshooting and dataset creation. NOMS Dominik Soukup, Jaroslav Pesek, Lukás Hejcman, David Benes, Tomás Cejka
2023	—	`conf`	Active Learning Framework For Long-term Network Traffic Classification. CCWC Jaroslav Pesek, Dominik Soukup, Tomás Cejka
2023	B	`conf`	Look at my Network: An Insight into the ISP Backbone Traffic. CNSM Tomás Benes, Jaroslav Pesek, Tomás Cejka
2023	J	`jnl`	NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification. CoRR Josef Koumar, Karel Hynek, Jaroslav Pesek, Tomás Cejka
2022	J	`jnl`	Active Learning Framework to Automate NetworkTraffic Classification. CoRR Jaroslav Pesek, Dominik Soukup, Tomás Cejka