| Machine learning for misuse-based network intrusion detection: overview, unified evaluation and feature choice comparison framework L Le Jeune, T Goedeme, N Mentens Ieee Access 9, 63995-64015, 2021 | 41 | 2021 |
| Aitia: Embedded ai techniques for embedded industrial applications M Brandalero, M Ali, L Le Jeune, HGM Hernandez, M Veleski, B Da Silva, ... 2020 International Conference on Omni-layer Intelligent Systems (COINS), 1-7, 2020 | 24 | 2020 |
| Towards real-time deep learning-based network intrusion detection on FPGA L Le Jeune, T Goedemé, N Mentens Applied Cryptography and Network Security Workshops: ACNS 2021 Satellite …, 2021 | 14 | 2021 |
| Feature dimensionality in CNN acceleration for high-throughput network intrusion detection L Le Jeune, T Goedemé, N Mentens 2022 32nd International Conference on Field-Programmable Logic and …, 2022 | 3 | 2022 |
| SoK-Network Intrusion Detection on FPGA L Le Jeune, A Sateesan, MM Rabbani, T Goedemé, J Vliegen, N Mentens International Conference on Security, Privacy, and Applied Cryptography …, 2021 | 2 | 2021 |
| AITIA: Embedded AI Techniques for Industrial Applications M Brandalero, M Veleski, HGM Hernandez, M Ali, L Le Jeune, ... 2021 31st International Conference on Field-Programmable Logic and …, 2021 | 2 | 2021 |
| Evaluation of Lightweight Machine Learning-Based NIDS Techniques for Industrial IoT A Baron, L Le Jeune, W Hellemans, MM Rabbani, N Mentens International Conference on Applied Cryptography and Network Security, 246-264, 2024 | | 2024 |
| Machine Learning for Network Intrusion Detection on FPGA L Le Jeune, N Mentens, T Goedemé | | 2023 |
| Analysis of collision detection using implicit sphere tree in haptic interaction environments for maxillofacial surgery applications L Le Jeune, W Swinkels, Y Sun, C Politis, L Claesen 2018 11th International Congress on Image and Signal Processing, BioMedical …, 2018 | | 2018 |
