| Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3 P Hurtik, V Molek, J Hula, M Vajgl, P Vlasanek, T Nejezchleba Neural Computing and Applications 34 (10), 8275-8290, 2022 | 148 | 2022 |
| Data preprocessing technique for neural networks based on image represented by a fuzzy function P Hurtik, V Molek, J Hula IEEE Transactions on Fuzzy Systems 28 (7), 1195-1204, 2019 | 50 | 2019 |
| Novel dimensionality reduction approach for unsupervised learning on small datasets P Hurtik, V Molek, I Perfilieva Pattern Recognition 103, 107291, 2020 | 26 | 2020 |
| Deep learning and higher degree F-transforms: interpretable kernels before and after learning V Molek, I Perfilieva International Journal of Computational Intelligence Systems 13 (1), 1404-1414, 2020 | 13 | 2020 |
| YOLO-ASC: you only look once and see contours P Hurtik, V Molek, P Vlasanek 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 10 | 2020 |
| Training neural network over encrypted data V Molek, P Hurtik 2020 IEEE Third International Conference on Data Stream Mining & Processing …, 2020 | 6 | 2020 |
| Poly-YOLO: Higher speed, more precise detection and instance segmentation for YOLOv3. arXiv 2020 P Hurtik, V Molek, J Hula, M Vajgl, P Vlasanek, T Nejezchleba arXiv preprint arXiv:2005.13243, 0 | 6 | |
| Scale-space theory, F-transform kernels and cnn realization V Molek, I Perfilieva Advances in Computational Intelligence: 15th International Work-Conference …, 2019 | 5 | 2019 |
| Convolutional neural networks with the F-transform kernels V Molek, I Perfilieva International Work-Conference on Artificial Neural Networks, 396-407, 2017 | 5 | 2017 |
| Unproportional mosaicing V Molek, P Hurtik, P Vlasanek, D Adamczyk arXiv preprint arXiv:2303.02081, 2023 | 1 | 2023 |
| Segmenting out Generic Objects in Monocular Videos. J Hula, D Adamczyk, D Mojzisek, V Molek ITAT, 123-129, 2021 | 1 | 2021 |
| Fuzzy Preprocessing for Semi-supervised Image Classification in Modern Industry P Hurtik, V Molek Advances in Computational Intelligence: 15th International Work-Conference …, 2019 | 1 | 2019 |
| Relationship between convolutional neural networks and F-transform V MOLEK, I PERFILIEVA Uncertainty Modelling in Knowledge Engineering and Decision Making …, 2016 | 1 | 2016 |
| Fractional Concepts in Neural Networks: Enhancing Activation and Loss Functions Z Alijani, V Molek arXiv preprint arXiv:2310.11875, 2023 | | 2023 |
| Image Segmentation Losses with Modules Expressing a Relationship Between Predictions P Hurtik, V Molek, H Zámečníková International Conference on Information Processing and Management of …, 2022 | | 2022 |
| F-Transform and Convolutional NN: Cross-Fertilization and Step Forward V Molek, I Perfilieva 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2020 | | 2020 |
| Monitoring and analysis of the skull shape based on WebGL L Kozák, V Molek AIP Conference Proceedings 2116 (1), 2019 | | 2019 |
| Convolutional Neural Networks with Interpretable Kernels V Molek, I Perfilieva Integrated Uncertainty in Knowledge Modelling and Decision Making: 7th …, 2019 | | 2019 |
| Synthetic dataset for compositional learning V Molek, J Hula Data Science and Knowledge Engineering for Sensing Decision Support …, 2018 | | 2018 |
| Image contours detection with deep features and SVM V Molek Advances in Fuzzy Logic and Technology 2017: Proceedings of: EUSFLAT-2017 …, 2018 | | 2018 |
Petr HurtikUniversity of OstravaVerified email at osu.cz
