Evaluation of Association Rules Extracted during Anomaly Explanation. - Martin Kopp; Martin Holena (ITAT, 2015)

How to Mimic Humans, Guide for Computers. - Martin Kopp; Matous Pistora; Martin Holena (ITAT, 2016)

Malicons: Detecting Payload in Favicons. - Tomás Pevný; Martin Kopp; Jakub Kroustek; Andrew D. Ker (Media Watermarking, Security, and Forensics, 2016)

Breaking CAPTCHAs with Convolutional Neural Networks. - Martin Kopp; Matej Nikl; Martin Holena (ITAT, 2017)

Comparing rule mining approaches for classification with reasoning. - Martin Kopp; Marek Jílek; Martin Holena (ITAT, 2018)

Community-based anomaly detection. - Martin Kopp; Martin Grill; Jan Kohout (WIFS, 2018)

Anomaly explanation with random forests. - Martin Kopp; Tomás Pevný; Martin Holena (Expert Syst. Appl., 2020)

Towards Reliable Network Entity Tracking Using Behavioural Bag of Words Representation. - Jaroslav Hlavác; Martin Kopp; Michael Polák; Jan Kohout (ITAT, 2021)

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

Cluster Representatives Selection in Non-Metric Spaces for Nearest Prototype Classification. - Jaroslav Hlavác; Martin Kopp; Jan Kohout (CoRR, 2021)

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

Behavioural Classification of Network Devices using Graph Structure of Private Networks. - Vojtech Outrata; Jaroslav Hlavác; Martin Kopp (ITAT, 2023)

Class Representatives Selection in Non-metric Spaces for Nearest Prototype Classification. - Jaroslav Hlavác; Martin Kopp; Jan Kohout; Tomás Skopal (SISAP, 2023)

Implicit Incorporation of Heuristics in MPC-Based Control of a Hydrogen Plant. - Thomas Schmitt; Jens Engel; Martin Kopp; Tobias Rodemann (CoRR, 2023)

Command-line Obfuscation Detection using Small Language Models. - Vojtech Outrata; Michael Adam Polak; Martin Kopp (CoRR, 2024)

Class Representatives Selection in non-metric spaces for nearest prototype classification. - Jaroslav Hlavác; Martin Kopp; Tomás Skopal (Inf. Syst., 2025)