Ernestas Filatovas
Zitiert von
Zitiert von
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
A systematic review and empirical analysis of blockchain simulators
R Paulavičius, S Grigaitis, E Filatovas
IEEE access 9, 38010-38028, 2021
Synchronous R-NSGA-II: an extended preference-based evolutionary algorithm for multi-objective optimization
E Filatovas, O Kurasova, K Sindhya
Informatica 26 (1), 33-50, 2015
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
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
A MCDM-based framework for blockchain consensus protocol selection
E Filatovas, M Marcozzi, L Mostarda, R Paulavičius
Expert Systems with Applications 204, 117609, 2022
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
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
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
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
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
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
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
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
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
Improving the energy efficiency of SMACOF for multidimensional scaling on modern architectures
F Orts, E Filatovas, G Ortega, O Kurasova, EM Garzon
The Journal of Supercomputing 75, 1038-1050, 2019
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
Implementation of three efficient 4-digit fault-tolerant quantum carry lookahead adders
F Orts, G Ortega, E Filatovas, E M. Garzón
The Journal of Supercomputing 78 (11), 13323-13341, 2022
A visualization technique for accessing solution pool in interactive methods of multiobjective optimization
E Filatovas, D Podkopaev, O Kurasova
International journal of computers communications & control. 10 (4), 508-519, 2015
Daugiakriterinių optimizavimo uždavinių sprendimas interaktyviuoju būdu
E Filatovas
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