A decision support system for solving multiple criteria optimization problems. - Ernestas Filatovas; Olga Kurasova (Informatics Educ., 2011)

Visualization of Pareto Front Points when Solving Multi-objective Optimization Problems. - Olga Kurasova; Tomas Petkus; Ernestas Filatovas (Inf. Technol. Control., 2013)

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)

Synchronous R-NSGA-II: An Extended Preference-Based Evolutionary Algorithm for Multi-Objective Optimization. - Ernestas Filatovas; Olga Kurasova; Karthik Sindhya (Informatica, 2015)

Improving the Energy Efficiency of Evolutionary Multi-objective Algorithms. - Juan José Moreno; Gloria Ortega; Ernestas Filatovas; José Antonio Martínez; Ester M. Garzón (ICA3PP Workshops, 2016)

Quality Prediction of Compressed Images via Classification. - Jevgenij Tichonov; Olga Kurasova; Ernestas Filatovas (IP&C, 2016)

Quality Assessment of High-Resolution Images with Small Distortions after Compression. - Tomas Petkus; Jevgenij Tichonov; Ernestas Filatovas; Vytautas Jakstys (Balt. J. Mod. Comput., 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)

Non-dominated sorting procedure for Pareto dominance ranking on multicore CPU and/or GPU. - Gloria Ortega; Ernestas Filatovas; Gracia Ester Martín Garzón; Leocadio G. Casado (J. Glob. Optim., 2017)

Using low-power platforms for Evolutionary Multi-Objective Optimization algorithms. - Juan José Moreno; Gloria Ortega; Ernestas Filatovas; José Antonio Martínez; Ester M. Garzón (J. Supercomput., 2017)

Improving the performance and energy of Non-Dominated Sorting for evolutionary multiobjective optimization on GPU/CPU platforms. - Juan José Moreno; Gloria Ortega; Ernestas Filatovas; José Antonio Martínez; Ester M. Garzón (J. Glob. Optim., 2018)

Optimal U-Net Architecture for Object Recognition Problems in Multispectral Satellite Imagery. - Povilas Gudzius; Olga Kurasova; Ernestas Filatovas (AICCSA, 2019)

Convolutional neural network hyperparameters designed for highest object recognition accuracy in satellite imagery. - Povilas Gudzius; Olga Kurasova; Ernestas Filatovas (DATA, 2019)

Hyperspectral Image Classification Using Isomap with SMACOF. - Francisco José Orts Gómez; Gloria Ortega; Ernestas Filatovas; Olga Kurasova; Gracia Ester Martín Garzón (Informatica, 2019)

A Decade of Blockchain: Review of the Current Status, Challenges, and Future Directions. - Remigijus Paulavicius; Saulius Grigaitis; Aleksandr Igumenov; Ernestas Filatovas (Informatica, 2019)

Improving the energy efficiency of SMACOF for multidimensional scaling on modern architectures. - Francisco José Orts Gómez; Ernestas Filatovas; Gloria Ortega; Olga Kurasova; Ester M. Garzón (J. Supercomput., 2019)

An Overview and Current Status of Blockchain Simulators. - Remigijus Paulavicius; Saulius Grigaitis; Ernestas Filatovas (IEEE ICBC, 2021)

A Systematic Review and Empirical Analysis of Blockchain Simulators. - Remigijus Paulavicius; Saulius Grigaitis; Ernestas Filatovas (IEEE Access, 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)

Parallel radiation dose computations with GENOCOP III on GPUs. - Juan José Moreno; Janusz Miroforidis; Ernestas Filatovas; Ignacy Kaliszewski; Ester M. Garzón (J. Supercomput., 2021)

Optimal fault-tolerant quantum comparators for image binarization. - Francisco Orts; Gloria Ortega; A. C. Cucura; Ernestas Filatovas; Ester M. Garzón (J. Supercomput., 2021)

A MCDM-based framework for blockchain consensus protocol selection. - Ernestas Filatovas; Marco Marcozzi; Leonardo Mostarda; Remigijus Paulavicius (Expert Syst. Appl., 2022)

Implementation of three efficient 4-digit fault-tolerant quantum carry lookahead adders. - Francisco Orts; Gloria Ortega; Ernestas Filatovas; Ester M. Garzón (J. Supercomput., 2022)

Towards Reproducible Research in Machine Learning via Blockchain. - Ernestas Filatovas; Linas Stripinis; Francisco Orts; Remigijus Paulavicius (NUMTA (3), 2023)

AutoML-Based Neural Architecture Search for Object Recognition in Satellite Imagery. - Povilas Gudzius; Olga Kurasova; Vytenis Darulis; Ernestas Filatovas (Remote. Sens., 2023)

Improving the implementation of quantum blockchain based on hypergraphs. - Francisco Orts; Remigijus Paulavicius; Ernestas Filatovas (Quantum Inf. Process., 2023)

A novel greedy genetic algorithm-based personalized travel recommendation system. - Remigijus Paulavicius; Linas Stripinis; Simona Sutaviciute; Dmitrij Kocegarov; Ernestas Filatovas (Expert Syst. Appl., 2023)

Examining Transactional Decentralization on the Ethereum Blockchain. - Mindaugas Juodis; Ernestas Filatovas; Donatas Gostautas; Remigijus Paulavicius (BCCA, 2024)

Halving the Number of Qubits of Quantum Comparators. - Laura María Donaire; Gloria Ortega; Ester M. Garzón; Francisco Orts; Remigijus Paulavicius; Ernestas Filatovas (PPAM (2), 2024)

Overview and empirical analysis of wealth decentralization in blockchain networks. - Mindaugas Juodis; Ernestas Filatovas; Remigijus Paulavicius (ICT Express, 2024)

Advancing Research Reproducibility in Machine Learning through Blockchain Technology. - Ernestas Filatovas; Linas Stripinis; Francisco Orts; Remigijus Paulavicius (Informatica, 2024)

Quantum circuit optimization of an integer divider. - Francisco Orts; Remigijus Paulavicius; Ernestas Filatovas (J. Syst. Softw., 2024)