| Explainability and Adversarial Robustness for RNNs A Hartl, M Bachl, J Fabini, T Zseby BigDataService 2020, 2019 | 41 | 2019 |
| A meta-analysis approach for feature selection in network traffic research DC Ferreira, FI Vázquez, G Vormayr, M Bachl, T Zseby Proceedings of the Reproducibility Workshop, 17-20, 2017 | 25 | 2017 |
| A flow-based IDS using Machine Learning in eBPF M Bachl, J Fabini, T Zseby arXiv preprint arXiv:2102.09980, 2021 | 22 | 2021 |
| Walling up Backdoors in Intrusion Detection Systems M Bachl, A Hartl, J Fabini, T Zseby Big-DAMA '19, 8-13, 2019 | 21 | 2019 |
| Rax: Deep reinforcement learning for congestion control M Bachl, T Zseby, J Fabini ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 19 | 2019 |
| City-GAN: Learning architectural styles using a custom Conditional GAN architecture M Bachl, DC Ferreira arXiv preprint arXiv:1907.05280, 2019 | 15 | 2019 |
| LFQ: Online Learning of Per-flow Queuing Policies using Deep Reinforcement Learning M Bachl, J Fabini, T Zseby LCN 2020, 2020 | 9 | 2020 |
| NTARC: A Data Model for the Systematic Review of Network Traffic Analysis Research F Iglesias, DC Ferreira, G Vormayr, M Bachl, T Zseby Applied Sciences 10 (12), 4307, 2020 | 8 | 2020 |
| Cocoa: Congestion Control Aware Queuing M Bachl, J Fabini, T Zseby Workshop on Buffer Sizing, 2019, 2019 | 8 | 2019 |
| SparseIDS: Learning Packet Sampling with Reinforcement Learning M Bachl, F Meghdouri, J Fabini, T Zseby SPC 2020, 2020 | 7 | 2020 |
| EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion Detection F Meghdouri, M Bachl, T Zseby CSNet 2020, 2020 | 3 | 2020 |
| Detecting Fair Queuing for Better Congestion Control M Bachl, J Fabini, T Zseby arXiv preprint arXiv:2010.08362, 2020 | 2* | 2020 |
| Fair Queuing Aware Congestion Control M Bachl arXiv preprint arXiv:2206.10561, 2022 | 1 | 2022 |
| Machine Learning Methods for Communication Networks: Characterization of Requirements and Analysis of Selected Use Cases M Bachl TU Wien, 2021 | 1* | 2021 |
| Collaborative Home Network Troubleshooting M Bachl Université Pierre & Marie Curie-Paris 6; INRIA, 2016 | 1 | 2016 |
| Robo99: Readability-optimized Comic Sans alternative using Machine Learning M Bachl https://muxamilian.github.io/Robo99/, 2023 | | 2023 |
| What you see is what you hear M Bachl https://github.com/muxamilian/wysiwyh, 2022 | | 2022 |
| Duralava: Lava lamp simulated by neural net in infinite loop M Bachl https://github.com/muxamilian/duralava, 2022 | | 2022 |
Tanja ZsebyTU WienAdresă de e-mail confirmată pe tuwien.ac.at
