Decision-Forest Voting Scheme for Classification of Rare Classes in Network Intrusion Detection. - Jan Brabec; Lukás Machlica (SMC, 2018)

Bad practices in evaluation methodology relevant to class-imbalanced problems. - Jan Brabec; Lukás Machlica (CoRR, 2018)

On Model Evaluation Under Non-constant Class Imbalance. - Jan Brabec; Tomás Komárek; Vojtech Franc; Lukás Machlica (ICCS (4), 2020)

Threat Hunting as a Similarity Search Problem on Multi-positive and Unlabeled Data. - Tomás Komárek; Jan Brabec; Cenek Skarda; Petr Somol (IEEE BigData, 2021)

Explainable Multiple Instance Learning with Instance Selection Randomized Trees. - Tomás Komárek; Jan Brabec; Petr Somol (ECML/PKDD (2), 2021)

Learning Explainable Representations of Malware Behavior. - Paul Prasse; Jan Brabec; Jan Kohout; Martin Kopp; Lukás Bajer; Tobias Scheffer (ECML/PKDD (4), 2021)

A framework for comprehensible multi-modal detection of cyber threats. - Jan Kohout; Cenek Skarda; Kyrylo Shcherbin; Martin Kopp; Jan Brabec (CoRR, 2021)

Benchmark of Data Preprocessing Methods for Imbalanced Classification. - Radovan Haluska; Jan Brabec; Tomás Komárek (IEEE Big Data, 2022)

A Modular and Adaptive System for Business Email Compromise Detection. - Jan Brabec; Filip Srajer; Radek Starosta; Tomás Sixta; Marc Dupont; Milos Lenoch; Jirí Mensík; Florian Becker; Jakub Boros; Tomás Pop; Pavel Novák (CoRR, 2023)