Big Data Platform for Smart Grids Power Consumption Anomaly Detection. - Jakub Lipcak; Martin Macák; Bruno Rossi 001 (FedCSIS, 2019)

Mistakes in UML diagrams: analysis of student projects in a software engineering course. - Stanislav Chren; Barbora Buhnova; Martin Macák; Lukas Daubner; Bruno Rossi 001 (ICSE (SEET), 2019)

Towards verifiable evidence generation in forensic-ready systems. - Lukas Daubner; Martin Macák; Barbora Buhnova; Tomás Pitner (IEEE BigData, 2020)

How well a multi-model database performs against its single-model variants: Benchmarking OrientDB with Neo4j and MongoDB. - Martin Macák; Matus Stovcik; Barbora Buhnova; Michal Merjavy (FedCSIS, 2020)

Simulation Games Platform for Unintentional Perpetrator Attack Vector Identification. - Martin Macák; Agata Kruzikova; Lukas Daubner; Barbora Buhnova (ICSE (Workshops), 2020)

Big Data Processing Tools Navigation Diagram. - Martin Macák; Hind Bangui; Barbora Buhnova; András J. Molnár; Csaba István Sidló (IoTBDS, 2020)

The Suitability of Graph Databases for Big Data Analysis: A Benchmark. - Martin Macák; Matus Stovcik; Barbora Buhnova (IoTBDS, 2020)

Verification of forensic readiness in software development: a roadmap. - Lukas Daubner; Martin Macák; Barbora Buhnova; Tomás Pitner (SAC, 2020)

Towards Process Mining Utilization in Insider Threat Detection from Audit Logs. - Martin Macák; Ivan Vanat; Michal Merjavy; Tomás Jevocin; Barbora Buhnova (SNAMS, 2020)

A Cross-Domain Comparative Study of Big Data Architectures. - Martin Macák; Mouzhi Ge; Barbora Buhnova (Int. J. Cooperative Inf. Syst., 2020)

Game Achievement Analysis: Process Mining Approach. - Martin Macák; Lukas Daubner; Julia Jamnicka; Barbora Buhnova (ADMA, 2021)

Cybersecurity Analysis via Process Mining: A Systematic Literature Review. - Martin Macák; Lukas Daubner; Mohammadreza Fani Sani; Barbora Buhnova (ADMA, 2021)

Identification of Unintentional Perpetrator Attack Vectors using Simulation Game: A Case Study. - Martin Macák; Stefan Bojnak; Barbora Buhnova (FedCSIS, 2021)

Using process mining for Git log analysis of projects in a software development course. - Martin Macák; Daniela Kruzelova; Stanislav Chren; Barbora Buhnova (Educ. Inf. Technol., 2021)

Scenarios for Process-Aware Insider Attack Detection in Manufacturing. - Martin Macák; Radek Vaclavek; Dasa Kusniráková; Raimundas Matulevicius; Barbora Buhnova (ARES, 2022)

Evaluating Code Improvements in Software Quality Course Projects. - Stanislav Chren; Martin Macák; Bruno Rossi 001; Barbora Buhnova (EASE, 2022)

Applying Process Discovery to Cybersecurity Training: An Experience Report. - Martin Macák; Radek Oslejsek; Barbora Buhnova (EuroS&P Workshops, 2022)

Process Mining Analysis of Puzzle-Based Cybersecurity Training. - Martin Macák; Radek Oslejsek; Barbora Buhnova (ITiCSE (1), 2022)

Process mining usage in cybersecurity and software reliability analysis: A systematic literature review. - Martin Macák; Lukas Daubner; Mohammadreza Fani Sani; Barbora Buhnova (Array, 2022)

Forensic-Ready Risk Management Concepts. - Lukas Daubner; Martin Macák; Raimundas Matulevicius; Barbora Buhnova; Sofija Maksovic; Tomás Pitner (CoRR, 2022)

CopAS: A Big Data Forensic Analytics System. - Martin Macák; Tomás Rebok; Matus Stovcik; Mouzhi Ge; Bruno Rossi 001; Barbora Buhnova (IoTBDS, 2023)

Detecting Masquerading Traitors from Process Visualization of Computer Usage. - Martin Macák; Radek Oslejsek; Barbora Buhnova (TrustCom, 2023)

Addressing insider attacks via forensic-ready risk management. - Lukas Daubner; Martin Macák; Raimundas Matulevicius; Barbora Buhnova; Sofija Maksovic; Tomás Pitner (J. Inf. Secur. Appl., 2023)

Comparative Analysis of Supersonic Flow in Atmospheric and Low Pressure in the Region of Shock Waves Creation for Electron Microscopy. - Pavla Sabacká; Jirí Maxa; Robert Bayer; Tomás Binar; Petr Baca; Petra Dostálová; Martin Macák; Pavel Cudek (Sensors, 2023)