Research
Research interests
- data science, data mining, knowledge discovery, information retrieval
- bio-inspired computing, evolutionary and swarm algorithms, metaheuristic optimization, soft computing, computational intelligence
- computer graphics, image processing, and computer vision
- parallel processing, distributed computing
Selected publications
Uher, V., Nowaková J., Krömer P.: Initial Analysis of Multiple Retinal Diseases Classification with Fuzzy Medical Image Retrieval. (2023) 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, pp. 4926-4931.
Krömer, P., Uher V.: Comparing Sampling Strategies for the Classification of Bi-objective Problems by FLACCO Features. (2023) Conference on Complex, Intelligent, and Software Intensive Systems. Cham: Springer Nature Switzerland, pp. 124-136.
Uher, V., Dráždilová, P., Platoš, J., Badura, P.: Automation of cleaning and ensembles for outliers detection in questionnaire data. (2022) Expert Systems with Applications, 206, art. no. 117809.
Krömer, P., Uher, V.: The effect of decoding fairness on particle swarm optimization for the p-median problem. (2022) GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pp. 1650-1657.
Krömer, P., Uher, V., Snášel, V.: Novel Random Key Encoding Schemes for the Differential Evolution of Permutation Problems. (2022) IEEE Transactions on Evolutionary Computation, 26 (1), pp. 43-57.
Kromer, P., Uher, V.: Optimization of real-world supply routes by nature-inspired metaheuristics. (2022) 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings.
Uher, V., Nowaková, J.: Impact of Chest X-ray Images Enhancement to COVID-19 Classification Using Vector Quantization and Fuzzy S-tree. (2022) Lecture Notes in Networks and Systems, 527 LNNS, pp. 371-379.
Uher, V.. Spatial data structures for point cloud analysis and visualization [online]. Ostrava, 2020 [cit. 2023-04-03]. Available from: http://hdl.handle.net/10084/145013. Dissertation. Vysoká škola báňská – Technická univerzita Ostrava.
Uher, V., Gajdoš, P., Snášel, V., Lai, Y.-C., Radecký, M.: Hierarchical hexagonal clustering and indexing. (2019) Symmetry, 11 (6), art. no. 731.
Uher, V., Gajdoš, P., Snasel, V.:The visualization of large graphs accelerated by the parallel nearest neighbors algorithm. (2016) Proceedings - 2016 IEEE 2nd International Conference on Multimedia Big Data, BigMM 2016, art. no. 7544990, pp. 9-16.
Gajdoš, P., Ježowicz, T., Uher, V., Dohnálek, P.: A parallel Fruchterman-Reingold algorithm optimized for fast visualization of large graphs and swarms of data. (2016) Swarm and Evolutionary Computation, 26, pp. 56-63.
Uher, V., Gajdoš, P., Radecký, M., Snášel, V.: Utilization of the Discrete Differential Evolution for Optimization in Multidimensional Point Clouds. (2016) Computational Intelligence and Neuroscience, 2016, art. no. 6329530.
All publications
