| Weight initialization possibilities for feedforward neural network with linear saturated activation functions P Dolezel, P Skrabanek, L Gago IFAC-PapersOnLine 49 (25), 49-54, 2016 | 33 | 2016 |
| Numerous cold arousals and rare arousal cascades as a hibernation strategy in European Myotis bats J Blažek, J Zukal, H Bandouchova, H Berková, V Kovacova, N Martínková, ... Journal of thermal biology 82, 150-156, 2019 | 24 | 2019 |
| Hibernation temperature-dependent Pseudogymnoascus destructans infection intensity in Palearctic bats N Martínková, J Pikula, J Zukal, V Kovacova, H Bandouchova, ... Virulence 9 (1), 1734-1750, 2018 | 24 | 2018 |
| DeepGrapes: Precise detection of grapes in low-resolution images P Śkrabánek IFAC-PapersOnLine 51 (6), 185-189, 2018 | 19 | 2018 |
| Detection of grapes in natural environment using support vector machine classifier P Škrabánek, TP Runarsson Proceedings of the 21st International Conference on Soft Computing MENDEL …, 2015 | 18 | 2015 |
| Pattern recognition neural network as a tool for pest birds detection P Dolezel, P Skrabanek, L Gago 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2016 | 15 | 2016 |
| Robust grape detector based on SVMs and HOG features P Škrabánek, P Doležel Computational Intelligence and Neuroscience 2017, 2017 | 12 | 2017 |
| Algorithm 1017: fuzzyreg: an r package for fitting fuzzy regression models P Škrabánek, N Martínková ACM Transactions on Mathematical Software (TOMS) 47 (3), 1-18, 2021 | 11 | 2021 |
| Evaluation of performance of grape berry detectors on real-life images P Škrabánek, FF Majerık Proceedings of the 22nd International Conference on Soft Computing MENDEL …, 2016 | 10 | 2016 |
| Person detection for an orthogonally placed monocular camera P Skrabanek, P Dolezel, Z Nemec, D Stursa Journal of advanced transportation 2020, 1-13, 2020 | 9 | 2020 |
| Models used in fuzzy linear regression P Škrabánek, J Marek 17th Conference on Applied Mathematics-APLIMAT 2018, 2018 | 9 | 2018 |
| Detection of grapes in natural environment using feedforward neural network as a classifier P Dolezel, P Skrabanek, L Gago 2016 SAI Computing Conference (SAI), 1330-1334, 2016 | 9 | 2016 |
| Genome polarisation for detecting barriers to geneflow SJE Baird, J Petružela, I Jaroň, P Škrabánek, N Martínková Methods in Ecology and Evolution 14 (2), 512-528, 2023 | 8 | 2023 |
| Detection of grapes in natural environment using HOG features in low resolution images P Škrabánek, F Majerík Journal of Physics: Conference Series 870 (1), 012004, 2017 | 8 | 2017 |
| Modelling invasive pathogen load from non-destructive sampling data N Martínková, P Škrabánek, J Pikula Journal of Theoretical Biology 464, 98-103, 2019 | 7 | 2019 |
| Centroid based person detection using pixelwise prediction of the position P Dolezel, P Skrabanek, D Stursa, BB Zanon, HC Adrian, P Kryda Journal of Computational Science 63, 101760, 2022 | 6 | 2022 |
| Magnetic strips as landmarks for mobile robot navigation P Škrabánek, P Vodička 2016 International Conference on Applied Electronics (AE), 227-232, 2016 | 6 | 2016 |
| Simplified version of white wine grape berries detector based on SVM and HOG features P Skrabanek, F Majerík Artificial Intelligence Perspectives in Intelligent Systems: Proceedings of …, 2016 | 6 | 2016 |
| Boscovich Fuzzy Regression Line P Škrabánek, J Marek, A Pozdílková Mathematics 9 (6), 685, 2021 | 5 | 2021 |
| On reporting performance of binary classifiers P Škrabánek, P Doležel Scientific papers of the University of Pardubice. Series D, Faculty of …, 2017 | 5 | 2017 |
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