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Laurens Le Jeune
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2020 – today
- 2024
- [c7]Alex Baron, Laurens Le Jeune, Wouter Hellemans, Md Masoom Rabbani, Nele Mentens
:
Evaluation of Lightweight Machine Learning-Based NIDS Techniques for Industrial IoT. ACNS Workshops (1) 2024: 246-264 - 2023
- [i1]Rabin Yu Acharya, Laurens Le Jeune, Nele Mentens, Fatemeh Ganji, Domenic Forte
Quantization-aware Neural Architectural Search for Intrusion Detection. CoRR abs/2311.04194 (2023) - 2022
- [c6]Laurens Le Jeune
Feature dimensionality in CNN acceleration for high-throughput network intrusion detection. FPL 2022: 366-374 - 2021
- [j1]Laurens Le Jeune
Machine Learning for Misuse-Based Network Intrusion Detection: Overview, Unified Evaluation and Feature Choice Comparison Framework. IEEE Access 9: 63995-64015 (2021) - [c5]Laurens Le Jeune
Towards Real-Time Deep Learning-Based Network Intrusion Detection on FPGA. ACNS Workshops 2021: 133-150 - [c4]Marcelo Brandalero, Mitko Veleski, Hector Gerardo Muñoz Hernandez, Muhammad Ali, Laurens Le Jeune, Toon Goedemé
AITIA: Embedded AI Techniques for Industrial Applications. FPL 2021: 374-375 - [c3]Laurens Le Jeune
SoK - Network Intrusion Detection on FPGA. SPACE 2021: 242-261 - 2020
- [c2]Marcelo Brandalero, Muhammad Ali, Laurens Le Jeune
AITIA: Embedded AI Techniques for Embedded Industrial Applications. COINS 2020: 1-7
2010 – 2019
- 2018
- [c1]Laurens Le Jeune
Analysis of Collision Detection Using Implicit Sphere Tree in Saptic Interaction Environments for Maxillofacial Surgery Applications. CISP-BMEI 2018: 1-6
Coauthor Index
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