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2020 – today
- 2024
[c23]Vojtech Uher, Pavel Krömer:
Fitness Landscape k-Nearest Neighbors Classification Based on Fitness Values Distribution. CEC 2024: 1-9- [c22]Pavel Krömer
, Vojtech Uher, Tea Tusar, Bogdan Filipic:
On the Latent Structure of the bbob-biobj Test Suite. EvoApplications@EvoStar 2024: 326-341 - 2023
- [c21]Vojtech Uher, Pavla Drázdilová:
Towards Rough Set Theory for Outliers Detection in Questionnaire Data. CISIM 2023: 310-324 - [c20]Pavel Krömer, Vojtech Uher:
Comparing Sampling Strategies for the Classification of Bi-objective Problems by FLACCO Features. CISIS 2023: 124-136 - [c19]Vojtech Uher, Pavel Krömer:
Impact of Different Discrete Sampling Strategies on Fitness Landscape Analysis Based on Histograms. IAIT 2023: 28:1-28:9 - [c18]Pavel Krömer, Vojtech Uher:
Randomization of Low-discrepancy Sampling Designs by Cranley-Patterson Rotation. IAIT 2023: 29:1-29:8 - [c17]Vojtech Uher, Jana Nowaková, Pavel Krömer:
Initial Analysis of Multiple Retinal Diseases Classification with Fuzzy Medical Image Retrieval. SMC 2023: 4926-4931 - 2022
- [j5]Vojtech Uher, Pavla Drázdilová, Jan Platos, Petr Badura:
Automation of cleaning and ensembles for outliers detection in questionnaire data. Expert Syst. Appl. 206: 117809 (2022) - [j4]Pavel Krömer, Vojtech Uher, Václav Snásel:
Novel Random Key Encoding Schemes for the Differential Evolution of Permutation Problems. IEEE Trans. Evol. Comput. 26(1): 43-57 (2022) - [c16]Pavel Krömer, Vojtech Uher:
Optimization of real-world supply routes by nature-inspired metaheuristics. CEC 2022: 1-10 - [c15]Pavel Krömer, Vojtech Uher, Andrejaana Andova, Tea Tusar, Bogdan Filipic:
Sampling Strategies for Exploratory Landscape Analysis of Bi-Objective Problems. CSCI 2022: 336-342 - [c14]Pavel Krömer, Vojtech Uher:
The effect of decoding fairness on particle swarm optimization for the p-median problem. GECCO Companion 2022: 1650-1657 - [c13]Vojtech Uher, Pavel Krömer:
Lehmer Encoding for Evolutionary Algorithms on Traveling Salesman Problem. ICMLT 2022: 216-222 - [c12]Vojtech Uher, Jana Nowaková:
Impact of Chest X-ray Images Enhancement to COVID-19 Classification Using Vector Quantization and Fuzzy S-tree. INCoS 2022: 371-379
2010 – 2019
- 2019
- [j3]Vojtech Uher, Petr Gajdos, Václav Snásel, Yu-Chi Lai, Michal Radecký:
Hierarchical Hexagonal Clustering and Indexing. Symmetry 11(6): 731 (2019) - [c11]Vojtech Uher, Petr Gajdos, Václav Snásel:
A Hybrid Point Indexing Structure Based on Orthogonal and Hexagonal Grids. ICCMS 2019: 151-156 - 2018
- [c10]Vojtech Uher, Petr Gajdos, Václav Snásel:
Proposal of Effective Orthogonal and Hexagonal Hierarchical Structures for Disc Queries. CRC 2018: 20-26 - 2017
- [c9]Vojtech Uher, Petr Gajdos, Václav Snásel:
Towards the Gosper Space Filling Curve Implementation. CYBCONF 2017: 1-8 - 2016
- [j2]Vojtech Uher, Petr Gajdos, Michal Radecký, Václav Snásel:
Utilization of the Discrete Differential Evolution for Optimization in Multidimensional Point Clouds. Comput. Intell. Neurosci. 2016: 6329530:1-6329530:14 (2016) - [j1]Petr Gajdos, Tomás Jezowicz, Vojtech Uher, Pavel Dohnálek:
A parallel Fruchterman-Reingold algorithm optimized for fast visualization of large graphs and swarms of data. Swarm Evol. Comput. 26: 56-63 (2016) - [c8]Tomás Jezowicz, Petr Gajdos, Vojtech Uher, Stanislav Misák, Václav Snásel:
Improving the Speed and Quality of Extreme Learning Machine by Conjugate Gradient Method. AECIA 2016: 128-137 - [c7]Vojtech Uher, Petr Gajdos, Václav Snásel:
The Visualization of Large Graphs Accelerated by the Parallel Nearest Neighbors Algorithm. BigMM 2016: 9-16 - [c6]Vojtech Uher, Petr Gajdos, Michal Radecký, Václav Snásel:
A Novel Approach of Applying the Differential Evolution to Spatial Discrete Data. ECAI 2016: 1555-1556 - [c5]Vojtech Uher, Petr Gajdos, Václav Snásel:
Searching of Circular Neighborhoods in the Square and Hexagonal Regular Grids. ECC 2016: 121-129 - [c4]Vojtech Uher, Petr Gajdos, Michal Radecký, Václav Snásel:
A proposal of hierarchical vertex clustering based on the Gosper curve. SMC 2016: 632-637 - 2015
- [c3]Vojtech Uher, Petr Gajdos, Tomás Jezowicz:
Solving nearest neighbors problem on GPU to speed up the Fruchterman-Reingold graph layout algorithm. CYBCONF 2015: 305-310 - [c2]Vojtech Uher, Petr Gajdos, Tomás Jezowicz, Václav Snásel:
Application of Hexagonal Coordinate Systems for Searching the K-NN in 2D Space. IBICA 2015: 209-220 - [c1]Toma Jeowicz, Petr Gajdos, Vojtech Uher, Václav Snásel:
Classification with Extreme Learning Machine on GPU. INCoS 2015: 116-122
Coauthor Index
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