VHDL structural model visualization. - Dominik Macko; Katarína Jelemenská (EUROCON, 2011)

VHDLVisualizer: HDL model visualization with simulation-based verification. - Dominik Macko; Katarína Jelemenská (DDECS, 2012)

Managing digital-system power at the system level. - Dominik Macko; Katarína Jelemenská (AFRICON, 2013)

Self-managing power management unit. - Dominik Macko; Katarína Jelemenská (DDECS, 2014)

Power-efficient power-management logic. - Dominik Macko; Katarína Jelemenská; Pavel Cicák (PATMOS, 2014)

Power-Management Specification in SystemC. - Dominik Macko; Katarína Jelemenská; Pavel Cicák (DDECS, 2015)

Power-management high-level synthesis. - Dominik Macko; Katarína Jelemenská; Pavel Cicák (VLSI-SoC, 2015)

Early-stage verification of power-management specification in low-power systems design. - Dominik Macko; Katarína Jelemenská; Pavel Cicák (DDECS, 2016)

PMHLS 2.0: An automated optimization of power management during high-level synthesis. - Dominik Macko (PATMOS, 2016)

PMS2UPF: An automated transition from ESL to RTL power-intent specification. - Miroslav Siro; Dominik Macko; Katarína Jelemenská (DDECS, 2017)

Rapid Estimation of Power-Management Unit Overhead from System-Level Specification. - Dominik Macko (DSD, 2017)

Rapid power-management exploration using post-processing of the system-level simulation results. - Dominik Macko (PATMOS, 2017)

Verification of Power-Management Specification at Early Stages of Power-Constrained Systems Design. - Dominik Macko; Katarína Jelemenská; Pavel Cicák (J. Circuits Syst. Comput., 2017)

A New Automated Power-Estimation Method for SystemC Hardware Design. - Michal Lid'ák; Dominik Macko (J. Low Power Electron., 2017)

Contribution to Automated Generating of System Power-Management Specification. - Dominik Macko (DDECS, 2018)

Simplifying low-power SoC top-down design using the system-level abstraction and the increased automation. - Dominik Macko; Katarína Jelemenská; Pavel Cicák (Integr., 2018)

Automated Integration of Dynamic Power Management into FPGA-Based Design. - Michal Skuta; Dominik Macko (DDECS, 2019)

Optimizing Energy Efficiency of Secured IoT Communication by OpenHip. - Peter Kanuch; Dominik Macko (TSP, 2019)

Increasing Energy Efficiency by Minimizing Collisions in Long-Range IoT Networks. - Jakub Pullmann; Dominik Macko (TSP, 2019)

Increasing Bluetooth Low Energy communication efficiency by presetting protocol parameters. - Dusan Hatvani; Dominik Macko (Turkish J. Electr. Eng. Comput. Sci., 2019)

A New Planning-Based Collision-Prevention Mechanism in Long-Range IoT Networks. - Jakub Pullmann; Dominik Macko (IEEE Internet Things J., 2019)

EEMIP: Energy-Efficient Communication Using Timing Channels and Prioritization in ZigBee. - Pavol Gocal; Dominik Macko (Sensors, 2019)

E-HIP: An Energy-Efficient OpenHIP-Based Security in Internet of Things Networks. - Peter Kanuch; Dominik Macko (Sensors, 2019)

Survey: Classification of the IoT Technologies for Better Selection to Real Use. - Peter Kanuch; Dominik Macko; Ladislav Hudec (TSP, 2020)

Optimization of LoRa Devices Communication for Applications in Healthcare. - Alexander Valach; Dominik Macko (TSP, 2020)

Automation of Dynamic Power Management in FPGA-Based Energy-Constrained Systems. - Michal Skuta; Dominik Macko; Katarína Jelemenská (IEEE Access, 2020)

Simplified introduction of power intent into a register-transfer level model. - Matej Groma; Dominik Macko (Des. Autom. Embed. Syst., 2021)

Explaining the Use of Cryptographic API in Android Malware. - Adam Janovsky; Davide Maiorca; Dominik Macko; Vashek Matyas; Giorgio Giacinto (ICSBT/SECRYPT (Revised Selected Papers), 2022)

A Longitudinal Study of Cryptographic API: A Decade of Android Malware. - Adam Janovsky; Davide Maiorca; Dominik Macko; Vashek Matyas; Giorgio Giacinto (SECRYPT, 2022)

S-HIP: Simplified HIP Protocol for IoT Networks. - Peter Kanuch; Dominik Macko; Ladislav Hudec (TSP, 2022)

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark. - Dominik Macko; Róbert Móro; Adaku Uchendu; Jason Samuel Lucas; Michiharu Yamashita; Matús Pikuliak; Ivan Srba; Thai Le; Dongwon Lee 001; Jakub Simko; Mária Bieliková (EMNLP, 2023)

Assessing the Impact of a Supervised Classification Filter on Flow-based Hybrid Network Anomaly Detection. - Dominik Macko; Patrik Goldschmidt; Peter Pistek; Daniela Chudá (CoRR, 2023)

IMGTB: A Framework for Machine-Generated Text Detection Benchmarking. - Michal Spiegel; Dominik Macko (CoRR, 2023)

MULTITuDE. - Dominik Macko; Róbert Móro; Adaku Uchendu; Jason Samuel Lucas; Michiharu Yamashita; Matús Pikuliak; Ivan Srba; Thai Le; Dongwon Lee 001; Jakub Simko; Mária Bieliková (Zenodo, 2023)

A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts. - Nafis Irtiza Tripto; Saranya Venkatraman; Dominik Macko; Róbert Móro; Ivan Srba; Adaku Uchendu; Thai Le; Dongwon Lee 001 (ACL (1), 2024)

Disinformation Capabilities of Large Language Models. - Ivan Vykopal; Matús Pikuliak; Ivan Srba; Róbert Móro; Dominik Macko; Mária Bieliková (ACL (1), 2024)

Authorship Obfuscation in Multilingual Machine-Generated Text Detection. - Dominik Macko; Róbert Móro; Adaku Uchendu; Ivan Srba; Jason Samuel Lucas; Michiharu Yamashita; Nafis Irtiza Tripto; Dongwon Lee 001; Jakub Simko; Mária Bieliková (EMNLP (Findings), 2024)

KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection. - Michal Spiegel; Dominik Macko (SemEval@NAACL, 2024)

MULTITuDEv2. - Dominik Macko; Róbert Móro; Adaku Uchendu; Ivan Srba; Jason Samuel Lucas; Michiharu Yamashita; Nafis Irtiza Tripto; Dongwon Lee 001; Jakub Simko; Mária Bieliková (Zenodo, 2024)

MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts. - Dominik Macko; Jakub Kopal; Róbert Móro; Ivan Srba (ACL (1), 2025)

Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation. - Aneta Zugecova; Dominik Macko; Ivan Srba; Róbert Móro; Jakub Kopál; Katarina Marcincinova; Matús Mesarcík (ACL (1), 2025)

Increasing the Robustness of the Fine-tuned Multilingual Machine-Generated Text Detectors. - Dominik Macko; Róbert Móro; Ivan Srba (CoRR, 2025)

Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation. - Dominik Macko; Aashish Anantha Ramakrishnan; Jason Samuel Lucas; Róbert Móro; Ivan Srba; Adaku Uchendu; Dongwon Lee 001 (CoRR, 2025)

mdok of KInIT: Robustly Fine-tuned LLM for Binary and Multiclass AI-Generated Text Detection. - Dominik Macko (CoRR, 2025)

Authorship Attribution in Multilingual Machine-Generated Texts. - Lucio La Cava; Dominik Macko; Róbert Móro; Ivan Srba; Andrea Tagarelli (CoRR, 2025)