Towards Evaluating Quality of Datasets for Network Traffic Domain. - Dominik Soukup; Peter Tisovcík; Karel Hynek; Tomás Cejka (CNSM, 2021)

Evaluation of the Limit of Detection in Network Dataset Quality Assessment with PerQoDA. - Katarzyna Wasielewska; Dominik Soukup; Tomás Cejka; José Camacho 001 (PKDD/ECML Workshops (2), 2022)

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)

Machine Learning Metrics for Network Datasets Evaluation. - Dominik Soukup; Daniel Uhrícek; Daniel Vasata; Tomás Cejka (SEC, 2023)

MFWDD: Model-based Feature Weight Drift Detection Showcased on TLS and QUIC Traffic. - Lukás Jancicka; Dominik Soukup; Josef Koumar; Filip Nemec; Tomás Cejka (CNSM, 2024)

Analysis of Statistical Distribution Changes of Input Features in Network Traffic Classification Domain. - Lukás Jancicka; Josef Koumar; Dominik Soukup; Tomás Cejka (NOMS, 2024)

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