Ernestas Filatovas

According to our database, Ernestas Filatovas authored at least 29 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantum circuit optimization of an integer divider.

Francisco Orts, Remigijus Paulavicius, Ernestas Filatovas

J. Syst. Softw., 2024

Advancing Research Reproducibility in Machine Learning through Blockchain Technology.

Ernestas Filatovas, Linas Stripinis, Francisco Orts, Remigijus Paulavicius

Informatica, 2024

Overview and empirical analysis of wealth decentralization in blockchain networks.

Mindaugas Juodis, Ernestas Filatovas, Remigijus Paulavicius

ICT Express, 2024

2023

A novel greedy genetic algorithm-based personalized travel recommendation system.

Remigijus Paulavicius, Linas Stripinis, Simona Sutaviciute, Dmitrij Kocegarov, Ernestas Filatovas

Expert Syst. Appl., November, 2023

Improving the implementation of quantum blockchain based on hypergraphs.

Francisco Orts, Remigijus Paulavicius, Ernestas Filatovas

Quantum Inf. Process., September, 2023

AutoML-Based Neural Architecture Search for Object Recognition in Satellite Imagery.

Povilas Gudzius, Olga Kurasova, Vytenis Darulis, Ernestas Filatovas

Remote. Sens., January, 2023

2022

Implementation of three efficient 4-digit fault-tolerant quantum carry lookahead adders.

Francisco Orts, Gloria Ortega López, Ernestas Filatovas, Ester M. Garzón

J. Supercomput., 2022

A MCDM-based framework for blockchain consensus protocol selection.

Ernestas Filatovas, Marco Marcozzi, Leonardo Mostarda, Remigijus Paulavicius

Expert Syst. Appl., 2022

2021

Optimal fault-tolerant quantum comparators for image binarization.

Francisco Orts, Gloria Ortega López, A. C. Cucura, Ernestas Filatovas, Ester M. Garzón

J. Supercomput., 2021

Parallel radiation dose computations with GENOCOP III on GPUs.

Juan José Moreno, Janusz Miroforidis, Ernestas Filatovas, Ignacy Kaliszewski, Ester M. Garzón

J. Supercomput., 2021

Deep learning-based object recognition in multispectral satellite imagery for real-time applications.

Povilas Gudzius, Olga Kurasova, Vytenis Darulis, Ernestas Filatovas

Mach. Vis. Appl., 2021

A Systematic Review and Empirical Analysis of Blockchain Simulators.

Remigijus Paulavicius, Saulius Grigaitis, Ernestas Filatovas

IEEE Access, 2021

An Overview and Current Status of Blockchain Simulators.

Remigijus Paulavicius, Saulius Grigaitis, Ernestas Filatovas

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2021

2019

Improving the energy efficiency of SMACOF for multidimensional scaling on modern architectures.

Francisco José Orts Gómez, Ernestas Filatovas, Gloria Ortega López, Olga Kurasova, Ester M. Garzón

J. Supercomput., 2019

A Decade of Blockchain: Review of the Current Status, Challenges, and Future Directions.

Remigijus Paulavicius, Saulius Grigaitis, Aleksandr Igumenov, Ernestas Filatovas

Informatica, 2019

Hyperspectral Image Classification Using Isomap with SMACOF.

Francisco José Orts Gómez, Gloria Ortega López, Ernestas Filatovas, Olga Kurasova, Gracia Ester Martín Garzón

Informatica, 2019

Convolutional neural network hyperparameters designed for highest object recognition accuracy in satellite imagery.

Povilas Gudzius, Olga Kurasova, Ernestas Filatovas

Proceedings of the Second International Conference on Data Science, 2019

Optimal U-Net Architecture for Object Recognition Problems in Multispectral Satellite Imagery.

Povilas Gudzius, Olga Kurasova, Ernestas Filatovas

Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019

2018

Improving the performance and energy of Non-Dominated Sorting for evolutionary multiobjective optimization on GPU/CPU platforms.

Juan José Moreno, Gloria Ortega López, Ernestas Filatovas, José Antonio Martínez, Ester M. Garzón

J. Glob. Optim., 2018

2017

Using low-power platforms for Evolutionary Multi-Objective Optimization algorithms.

Juan José Moreno, Gloria Ortega López, Ernestas Filatovas, José Antonio Martínez, Ester M. Garzón

J. Supercomput., 2017

Non-dominated sorting procedure for Pareto dominance ranking on multicore CPU and/or GPU.

Gloria Ortega López, Ernestas Filatovas, Gracia Ester Martín Garzón, Leocadio G. Casado

J. Glob. Optim., 2017

A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search.

Ernestas Filatovas, Algirdas Lancinskas, Olga Kurasova, Julius Zilinskas

Central Eur. J. Oper. Res., 2017

Quality Assessment of High-Resolution Images with Small Distortions after Compression.

Tomas Petkus, Jevgenij Tichonov, Ernestas Filatovas, Vytautas Jakstys

Balt. J. Mod. Comput., 2017

2016

Quality Prediction of Compressed Images via Classification.

Jevgenij Tichonov, Olga Kurasova, Ernestas Filatovas

Proceedings of the Image Processing and Communications Challenges 8, 2016

Improving the Energy Efficiency of Evolutionary Multi-objective Algorithms.

Juan José Moreno, Gloria Ortega López, Ernestas Filatovas, José Antonio Martínez, Ester M. Garzón

Proceedings of the Algorithms and Architectures for Parallel Processing, 2016

2015

Synchronous R-NSGA-II: An Extended Preference-Based Evolutionary Algorithm for Multi-Objective Optimization.

Ernestas Filatovas, Olga Kurasova, Karthik Sindhya

Informatica, 2015

A Visualization Technique for Accessing Solution Pool in Interactive Methods of Multiobjective Optimization.

Ernestas Filatovas, Dmitry Podkopaev, Olga Kurasova

Int. J. Comput. Commun. Control, 2015

2013

Visualization of Pareto Front Points when Solving Multi-objective Optimization Problems.

Olga Kurasova, Tomas Petkus, Ernestas Filatovas

Inf. Technol. Control., 2013

2011

A decision support system for solving multiple criteria optimization problems.

Ernestas Filatovas, Olga Kurasova

Informatics Educ., 2011