| Missing features reconstruction using a wasserstein generative adversarial imputation network M Friedjungová, D Vašata, M Balatsko, M Jiřina International Conference on Computational Science, 225-239, 2020 | 13 | 2020 |
| Asymmetric Heterogeneous Transfer Learning: A Survey. M Friedjungová, M Jirina DATA, 17-27, 2017 | 13 | 2017 |
| Image inpainting using Wasserstein generative adversarial imputation network D Vašata, T Halama, M Friedjungová International Conference on Artificial Neural Networks, 575-586, 2021 | 10 | 2021 |
| Missing features reconstruction and its impact on classification accuracy M Friedjungová, M Jiřina, D Vašata International Conference on Computational Science, 207-220, 2019 | 5 | 2019 |
| Constructing a data visualization recommender system P Kubernátová, M Friedjungová, M Van Duijn Data Management Technologies and Applications: 7th International Conference …, 2019 | 5 | 2019 |
| Meningioma microstructure assessed by diffusion MRI: An investigation of the source of mean diffusivity and fractional anisotropy by quantitative histology J Brabec, M Friedjungová, D Vašata, E Englund, J Bengzon, L Knutsson, ... NeuroImage: Clinical 37, 103365, 2023 | 3 | 2023 |
| Knowledge at First Glance: A Model for a Data Visualization Recommender System Suited for Non-expert Users. P Kubernátová, M Friedjungová, MJ van Duijn DATA, 208-219, 2018 | 3 | 2018 |
| An overview of transfer learning focused on asymmetric heterogeneous approaches M Friedjungová, M Jiřina Data Management Technologies and Applications: 6th International Conference …, 2018 | 3 | 2018 |
| Road quality classification M Lank, M Friedjungová International Conference on Image Analysis and Processing, 553-563, 2022 | 1 | 2022 |
| Dynamic neural diversification: Path to computationally sustainable neural networks A Kovalenko, P Kordík, M Friedjungová International Conference on Artificial Neural Networks, 235-247, 2021 | 1 | 2021 |
| Predikce studijních výsledků studentů bakalářského programu Informatika FIT ČVUT M Friedjungová České vysoké učení technické v Praze. Vypočetní a informační centrum., 2016 | 1 | 2016 |
| Pokročilé Metody Asymetrického Heterogenního Transfer Learningu M Friedjungová PQDT-Global, 2021 | | 2021 |
| Unsupervised Latent Space Translation Network M Friedjungová, D Vašata, T Chobola, M Jiřina arXiv preprint arXiv:2003.09149, 2020 | | 2020 |
| Pokročilé Metody Asymetrického Heterogenního Transfer Learningu/Advanced Methods of Asymmetric Heterogeneous Transfer Learning M Friedjungová Czech Technical University, 2020 | | 2020 |
| Explaining variation in DTI parameters with meningioma microscopy: A comparison between a neural network and an image-feature-based approach J Brabec, M Friedjungová, D Vašata, E Englund, L Knutsson, ... | | |
Daniel VašataFIT, CTU in PragueVerified email at fit.cvut.cz
