| Synchronous R-NSGA-II: an extended preference-based evolutionary algorithm for multi-objective optimization E Filatovas Informatica 26 (1), 33-50, 2015 | 37 | 2015 |
| A decade of blockchain: Review of the current status, challenges, and future directions R Paulavičius, S Grigaitis, A Igumenov, E Filatovas Informatica 30 (4), 729-748, 2019 | 36 | 2019 |
| A systematic review and empirical analysis of blockchain simulators R Paulavičius, S Grigaitis, E Filatovas IEEE access 9, 38010-38028, 2021 | 32 | 2021 |
| A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search E Filatovas, A Lančinskas, O Kurasova, J Žilinskas Central European Journal of Operations Research 25, 859-878, 2017 | 31 | 2017 |
| Non-dominated sorting procedure for Pareto dominance ranking on multicore CPU and/or GPU G Ortega, E Filatovas, EM Garzon, LG Casado Journal of Global Optimization 69, 607-627, 2017 | 26 | 2017 |
| Visualization of Pareto Front Points when Solving Multi-objective Optimization Problems EF O. Kurasova, T. Petkus Information Technology and Control 42 (4), 353-361, 2013 | 21 | 2013 |
| Optimal fault-tolerant quantum comparators for image binarization F Orts, G Ortega, AC Cucura, E Filatovas, EM Garzón The Journal of Supercomputing 77, 8433-8444, 2021 | 19 | 2021 |
| A MCDM-based framework for blockchain consensus protocol selection E Filatovas, M Marcozzi, L Mostarda, R Paulavičius Expert Systems with Applications 204, 117609, 2022 | 18 | 2022 |
| Deep learning-based object recognition in multispectral satellite imagery for real-time applications P Gudžius, O Kurasova, V Darulis, E Filatovas Machine Vision and Applications 32 (4), 98, 2021 | 18 | 2021 |
| Using low-power platforms for evolutionary multi-objective optimization algorithms JJ Moreno, G Ortega, E Filatovas, JA Martínez, EM Garzón The Journal of Supercomputing 73, 302-315, 2017 | 13 | 2017 |
| Investigation of human factors while solving multiple criteria optimization problems in computer network T Petkus, E Filatovas, O Kurasova Technological and Economic Development of Economy 15 (3), 464-479, 2009 | 13 | 2009 |
| A reference point-based evolutionary algorithm for approximating regions of interest in multiobjective problems E Filatovas, O Kurasova, JL Redondo, J Fernández Top 28, 402-423, 2020 | 12 | 2020 |
| Improving the performance and energy of non-dominated sorting for evolutionary multiobjective optimization on GPU/CPU platforms JJ Moreno, G Ortega, E Filatovas, JA Martínez, EM Garzón Journal of Global Optimization 71, 631-649, 2018 | 12 | 2018 |
| Improving the energy efficiency of SMACOF for multidimensional scaling on modern architectures F Orts, E Filatovas, G Ortega, O Kurasova, EM Garzón The Journal of Supercomputing 75, 1038-1050, 2019 | 10 | 2019 |
| Hyperspectral image classification using Isomap with SMACOF FJ Orts Gómez, G Ortega López, E Filatovas, O Kurasova, GEM Garzón Informatica 30 (2), 349-365, 2019 | 10 | 2019 |
| A visualization technique for accessing solution pool in interactive methods of multiobjective optimization E Filatovas, D Podkopaev, O Kurasova International Journal of Computers Communications and Control 10 (4), 2015 | 10 | 2015 |
| An overview and current status of blockchain simulators R Paulavičius, S Grigaitis, E Filatovas 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1-3, 2021 | 9 | 2021 |
| Daugiakriterinių optimizavimo uždavinių sprendimas interaktyviuoju būdu E Filatovas | 8 | 2012 |
| A Decision Support System for Solving Multiple Criteria Optimization Problems. E Filatovas, O Kurasova Informatics in Education 10 (2), 213-224, 2011 | 8 | 2011 |
| A novel greedy genetic algorithm-based personalized travel recommendation system R Paulavičius, L Stripinis, S Sutavičiūtė, D Kočegarov, E Filatovas Expert Systems with Applications 230, 120580, 2023 | 6 | 2023 |
Olga KurasovaVilnius University, Institute of Data Science and Digital TechnologiesPatvirtintas el. paštas mif.vu.lt
