| Effects of random seeds on the accuracy of convolutional neural networks C Fellicious, T Weissgerber, M Granitzer Machine Learning, Optimization, and Data Science: 6th International …, 2020 | 9 | 2020 |
| Transfer learning and organic computing for autonomous vehicles C Fellicious arXiv preprint arXiv:1808.05443, 2018 | 6 | 2018 |
| Neural network based drift detection C Fellicious, L Wendlinger, M Granitzer International Conference on Machine Learning, Optimization, and Data Science …, 2022 | 1 | 2022 |
| SmartKex: Machine Learning Assisted SSH Keys Extraction From The Heap Dump C Fellicious, S Sentanoe, M Granitzer, HP Reiser arXiv preprint arXiv:2209.05243, 2022 | 1 | 2022 |
| DriftGAN: Using historical data for Unsupervised Recurring Drift Detection C Fellicious, S Julka, L Wendlinger, M Granitzer Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 368-369, 2024 | | 2024 |
| PyPads: Transparent Machine Learning Experiment Tracking T Weißgerber, MB Amor, C Fellicious, M Granitzer Datenbank-Spektrum 24 (1), 53-62, 2024 | | 2024 |
| Transparent Machine Learning Experiment Tracking T Weißgerber, MB Amor, C Fellicious, M Granitzer | | 2023 |
| “The Need for Speed”: Extracting Session Keys From the Main Memory Using Brute-force and Machine Learning S Sentanoe, C Fellicious, HP Reiser, M Granitzer 2022 IEEE International Conference on Trust, Security and Privacy in …, 2022 | | 2022 |
| Pooling Graph Convolutional Networks for Structural Performance Prediction L Wendlinger, M Granitzer, C Fellicious International Conference on Machine Learning, Optimization, and Data Science …, 2022 | | 2022 |
