| 2022 | ICIAP | Road Quality Classification. | Martin Lank, Magda Friedjungov |
| 2021 | ICANN | Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks. | Alexander Kovalenko, Pavel Kordk, Magda Friedjungov |
| 2021 | ICANN | Image Inpainting Using Wasserstein Generative Adversarial Imputation Network. | Daniel Vasata, Toms Halama, Magda Friedjungov |
| 2020 | ESANN | Unsupervised Latent Space Translation Network. | Magda Friedjungov, Daniel Vasata, Toms Chobola, Marcel Jirina |
| 2020 | ICCS | Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network. | Magda Friedjungov, Daniel Vasata, Maksym Balatsko, Marcel Jirina |
| 2019 | ICCS | Missing Features Reconstruction and Its Impact on Classification Accuracy. | Magda Friedjungov, Marcel Jirina, Daniel Vasata |
| 2018 | DATA | Constructing a Data Visualization Recommender System. | Petra Kuberntov, Magda Friedjungov, Max J. van Duijn |
| 2018 | DATA | Knowledge at First Glance: A Model for a Data Visualization Recommender System Suited for Non-expert Users. | Petra Kuberntov, Magda Friedjungov, Max J. van Duijn |
| 2017 | DATA | Asymmetric Heterogeneous Transfer Learning: A Survey. | Magda Friedjungov, Marcel Jirina |
| 2017 | DATA | An Overview of Transfer Learning Focused on Asymmetric Heterogeneous Approaches. | Magda Friedjungov, Marcel Jirina |