Analysis of Collision Detection Using Implicit Sphere Tree in Saptic Interaction Environments for Maxillofacial Surgery Applications. - Laurens Le Jeune; Wout Swinkels; Yi Sun; Constantinus Politis; Luc Claesen (CISP-BMEI, 2018)

AITIA: Embedded AI Techniques for Embedded Industrial Applications. - Marcelo Brandalero; Muhammad Ali 010; Laurens Le Jeune; Hector Gerardo Muñoz Hernandez; Mitko Veleski; Bruno da Silva 001; Jan Lemeire; Kristof Van Beeck; Abdellah Touhafi; Toon Goedemé; Nele Mentens; Diana Göhringer; et al. (COINS, 2020)

Towards Real-Time Deep Learning-Based Network Intrusion Detection on FPGA. - Laurens Le Jeune; Toon Goedemé; Nele Mentens (ACNS Workshops, 2021)

AITIA: Embedded AI Techniques for Industrial Applications. - Marcelo Brandalero; Mitko Veleski; Hector Gerardo Muñoz Hernandez; Muhammad Ali 010; Laurens Le Jeune; Toon Goedemé; Nele Mentens; Jurgen Vandendriessche; Lancelot Lhoest; Bruno da Silva 001; Abdellah Touhafi; Diana Goehringer; et al. (FPL, 2021)

SoK - Network Intrusion Detection on FPGA. - Laurens Le Jeune; Arish Sateesan; Md Masoom Rabbani; Toon Goedemé; Jo Vliegen; Nele Mentens (SPACE, 2021)

Machine Learning for Misuse-Based Network Intrusion Detection: Overview, Unified Evaluation and Feature Choice Comparison Framework. - Laurens Le Jeune; Toon Goedemé; Nele Mentens (IEEE Access, 2021)

Feature dimensionality in CNN acceleration for high-throughput network intrusion detection. - Laurens Le Jeune; Toon Goedemé; Nele Mentens (FPL, 2022)

Quantization-aware Neural Architectural Search for Intrusion Detection. - Rabin Yu Acharya; Laurens Le Jeune; Nele Mentens; Fatemeh Ganji; Domenic Forte (CoRR, 2023)

Evaluation of Lightweight Machine Learning-Based NIDS Techniques for Industrial IoT. - Alex Baron; Laurens Le Jeune; Wouter Hellemans; Md Masoom Rabbani; Nele Mentens (ACNS Workshops (1), 2024)