Solving nearest neighbors problem on GPU to speed up the Fruchterman-Reingold graph layout algorithm. - Vojtech Uher; Petr Gajdos; Tomás Jezowicz (CYBCONF, 2015)

Application of Hexagonal Coordinate Systems for Searching the K-NN in 2D Space. - Vojtech Uher; Petr Gajdos; Tomás Jezowicz; Václav Snásel (IBICA, 2015)

Classification with Extreme Learning Machine on GPU. - Toma Jeowicz; Petr Gajdos; Vojtech Uher; Václav Snásel (INCoS, 2015)

Improving the Speed and Quality of Extreme Learning Machine by Conjugate Gradient Method. - Tomás Jezowicz; Petr Gajdos; Vojtech Uher; Stanislav Misák; Václav Snásel (AECIA, 2016)

The Visualization of Large Graphs Accelerated by the Parallel Nearest Neighbors Algorithm. - Vojtech Uher; Petr Gajdos; Václav Snásel (BigMM, 2016)

A Novel Approach of Applying the Differential Evolution to Spatial Discrete Data. - Vojtech Uher; Petr Gajdos; Michal Radecký; Václav Snásel (ECAI, 2016)

Searching of Circular Neighborhoods in the Square and Hexagonal Regular Grids. - Vojtech Uher; Petr Gajdos; Václav Snásel (ECC, 2016)

A proposal of hierarchical vertex clustering based on the Gosper curve. - Vojtech Uher; Petr Gajdos; Michal Radecký; Václav Snásel (SMC, 2016)

Utilization of the Discrete Differential Evolution for Optimization in Multidimensional Point Clouds. - Vojtech Uher; Petr Gajdos; Michal Radecký; Václav Snásel (Comput. Intell. Neurosci., 2016)

A parallel Fruchterman-Reingold algorithm optimized for fast visualization of large graphs and swarms of data. - Petr Gajdos; Tomás Jezowicz; Vojtech Uher; Pavel Dohnálek (Swarm Evol. Comput., 2016)

Towards the Gosper Space Filling Curve Implementation. - Vojtech Uher; Petr Gajdos; Václav Snásel (CYBCONF, 2017)

Proposal of Effective Orthogonal and Hexagonal Hierarchical Structures for Disc Queries. - Vojtech Uher; Petr Gajdos; Václav Snásel (CRC, 2018)

A Hybrid Point Indexing Structure Based on Orthogonal and Hexagonal Grids. - Vojtech Uher; Petr Gajdos; Václav Snásel (ICCMS, 2019)

Hierarchical Hexagonal Clustering and Indexing. - Vojtech Uher; Petr Gajdos; Václav Snásel; Yu-Chi Lai; Michal Radecký (Symmetry, 2019)

Optimization of real-world supply routes by nature-inspired metaheuristics. - Pavel Krömer; Vojtech Uher (CEC, 2022)

Sampling Strategies for Exploratory Landscape Analysis of Bi-Objective Problems. - Pavel Krömer; Vojtech Uher; Andrejaana Andova; Tea Tusar; Bogdan Filipic (CSCI, 2022)

The effect of decoding fairness on particle swarm optimization for the p-median problem. - Pavel Krömer; Vojtech Uher (GECCO Companion, 2022)

Lehmer Encoding for Evolutionary Algorithms on Traveling Salesman Problem. - Vojtech Uher; Pavel Krömer (ICMLT, 2022)

Impact of Chest X-ray Images Enhancement to COVID-19 Classification Using Vector Quantization and Fuzzy S-tree. - Vojtech Uher; Jana Nowaková (INCoS, 2022)

Automation of cleaning and ensembles for outliers detection in questionnaire data. - Vojtech Uher; Pavla Drázdilová; Jan Platos; Petr Badura (Expert Syst. Appl., 2022)

Novel Random Key Encoding Schemes for the Differential Evolution of Permutation Problems. - Pavel Krömer; Vojtech Uher; Václav Snásel (IEEE Trans. Evol. Comput., 2022)

Towards Rough Set Theory for Outliers Detection in Questionnaire Data. - Vojtech Uher; Pavla Drázdilová (CISIM, 2023)

Comparing Sampling Strategies for the Classification of Bi-objective Problems by FLACCO Features. - Pavel Krömer; Vojtech Uher (CISIS, 2023)

Randomization of Low-discrepancy Sampling Designs by Cranley-Patterson Rotation. - Pavel Krömer; Vojtech Uher (IAIT, 2023)

Impact of Different Discrete Sampling Strategies on Fitness Landscape Analysis Based on Histograms. - Vojtech Uher; Pavel Krömer (IAIT, 2023)

Initial Analysis of Multiple Retinal Diseases Classification with Fuzzy Medical Image Retrieval. - Vojtech Uher; Jana Nowaková; Pavel Krömer (SMC, 2023)

Fitness Landscape k-Nearest Neighbors Classification Based on Fitness Values Distribution. - Vojtech Uher; Pavel Krömer (CEC, 2024)

On the Latent Structure of the bbob-biobj Test Suite. - Pavel Krömer; Vojtech Uher; Tea Tusar; Bogdan Filipic (EvoApplications@EvoStar, 2024)

Fitness Histograms of Expert-Defined Problem Classes in Fitness Landscape Classification. - Vojtech Uher; Pavel Krömer (IJCCI, 2024)

Effect of Randomization of Sampling Strategies on Fitness Values Distribution. - Vojtech Uher; Pavel Krömer (ISCBI, 2025)