The papers in selected ISI journals:

Gnip P, Vokorokos L, Drotár P. (2021). Selective oversampling approach for strongly imbalanced data. PeerJ Computer Science 7:e604

Gazda, M., Hireš, M. and Drotár, P.,  Multiple-Fine-Tuned Convolutional Neural Networks for Parkinson's Disease Diagnosis From Offline Handwriting,  in IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2020.3048892.

Drotár, P., Dobeš, M. (2020). Dysgraphia detection through machine learning.Scientific Reports, 10, 21541. doi:10.1038/s41598-020-78611-9 (OPEN ACCESS)

Šlapak, E.., Gazda, J.,  Guo, W., Maksymyuk, T.,  Dohler M. (2021). Cost-Effective Resource Allocation for Multitier Mobile Edge Computing in 5G Mobile Networks, IEEE Access, doi: 10.1109/ACCESS.2021.3059029

Maksymyuk, T., Šlapak, E., Bugár, G., Horvath, D., Gazda, J. (2020). Intelligent framework for radio access network design, Wireless Networks,

Maksymyuk, T.,  Gazda, J., Volosin, M., Bugar, G., Horvath, D., Klymash, M., Dohler, M. (2020). Blockchain-Empowered Framework for Decentralized Network Management in 6G, IEEE Communications Magazine, doi: 10.1109/MCOM.001.2000175

Khan, M., Jamali, M., Maksymyuk, T., Gazda, J., (2020). A Blockchain Token-Based Trading Model for Secondary Spectrum Markets in Future Generation Mobile Networks, Wireless Communications and Mobile Computing,

Bugata, P., Drotar, P. (2020) On some aspects of minimum redundancy maximum relevance feature selection. Sci. China Inf. Sci. 63, 112103 (2020). 

Bugár, G., Vološin, M., Maksymyuk, T., Zausinová, J., Gazda, V., Horváth, D., Gazda, J. (2019). Techno-Economic Framework for Dynamic Operator Selection in a Multi-Tier Heterogeneous Network, Ad Hoc Networks. ISSN 1570-8705,

Zoričák, M., Gnip, P., Drotár, P., Gazda, V. (2019). Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets, Economic Modelling. ISSN 0264-9993,

Drotár, P., Gazda, M., Vokorokos, L. (2019). Ensemble feature selection using election methods and ranker clustering. Information Sciences, Vol. 480, pp. 365-380, ISSN 0020-0255

Bugata, P.,  Drotár, P. (2018). Weighted nearest neighbors feature selection. Knowledge-Based Systems,

Dankovičová, Z., Sovák, D., Drotár, P., Vokorokos. L. (2018). Machine Learning Approach to Dysphonia Detection. Applied Sciences. 8, 1927,

Gazda, J., Šlapak, E., Bugár, G., Horváth, D., Maksymyuk, T., & Jo, M. (2018). Unsupervised Learning Algorithm for Intelligent Coverage Planning and Performance Optimization of Multitier Heterogeneous Network. IEEE Access, 6, 39807-39819.

Gazda, J., Tóth, P., Zausinová, J., Vološin, M., & Gazda, V. (2017). On the Interdependence of the Financial Market and Open Access Spectrum Market in the 5G Network. Symmetry, 10(1), 12. 

Gazda, J., Bugár, G., Vološin, M., Drotár, P., Horváth, D., & Gazda, V. (2017). Dynamic spectrum leasing and retail pricing using an experimental economy. Computer Networks, 121, 173-184.
Horvath, D., Gazda, J., & Brutovsky, B. (2017). A new bio-inspired, population-level approach to the socioeconomic evolution of dynamic spectrum access services. International Journal of Modern Physics C, 28(05), 1750062.      

Gazda, J., Kováč, V., Tóth, P., Drotár, P., & Gazda, V. (2016). Tax optimization in an agent-based model of real-time spectrum secondary market. Telecommunication Systems, 1-16.

Pastirčák, J., Friga, L., Kováč, V., Gazda, J., & Gazda, V. (2016). An Agent-Based Economy Model of Real-Time Secondary Market for the Cognitive Radio Networks. Journal of Network and Systems Management, 24(2), 427-443.

Drotár, P., Gazda, J., & Smékal, Z. (2015). An experimental comparison of feature selection methods on two-class biomedical datasets. Computers in biology and medicine, 66, 1-10.

Drotár, P., Mekyska, J., Rektorová, I., Masarová, L., Smékal, Z., & Faundez-Zanuy, M. (2016). Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease. Artificial intelligence in medicine, 67, 39-46.

Drotár, P., Mekyska, J., Rektorová, I., Masarová, L., Smékal, Z., & Faundez-Zanuy, M. (2014). Analysis of in-air movement in handwriting: A novel marker for Parkinson's disease. Computer methods and programs in biomedicine, 117(3), 405-411.

Drotár, P., Mekyska, J., Rektorová, I., Masarová, L., Smékal, Z., & Faundez-Zanuy, M. (2015). Decision support framework for parkinson’s disease based on novel handwriting markers. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23(3), 508-516.

Kollár, Z., Gazda, J., Horváth, P., Varga, L., & Kocur, D. (2014). Iterative signal reconstruction of deliberately clipped SMT signals. Science China Information Sciences, 57(2), 1-13.

Horváth, D., Gazda, V., & Gazda, J. (2013). Agent-based modeling of the cooperative spectrum management with insurance in cognitive radio networks. EURASIP Journal on Wireless Communications and Networking, 2013(1), 1-14.

Gazda, J., Deumal, M., Bergada, P., Drotár, P., Kocur, D., & Galajda, P. (2011). Iterative Suboptimal Maximum Likelihood Receiver for Nonlinearly Distorted SC-FDMA Symbols. Frequenz, 65(11-12), 327-334.

Gazda, J., Drotar, P., Deumal, M., Galajda, P., & Kocur, D. (2010). Tone reservation for sfbc-ofdm with no spectral broadening. Frequenz, 64(7-8), 140-143.

Drotar, P., Gazda, J., Galajda, P., Kocur, D., & Pavelka, P. (2010). Receiver technique for iterative estimation and cancellation of nonlinear distortion in MIMO SFBC-OFDM systems. IEEE Transactions on Consumer Electronics, 56(2), 471-475.

Gazda, J., Kocur, D., Drotar, P., & Galajda, P. (2009). Effects of spreading sequences on the performance of MC-CDMA system with nonlinear models of HPA. Radioengineering.