Alarm prediction in industrial machines using autoregressive LS-SVM models. - Rocco Langone; Carlos Alzate; Abdellatif Bey-Temsamani; Johan A. K. Suykens (CIDM, 2014)

Embedded line scan image sensors: The low cost alternative for high speed imaging. - Stef Van Wolputte; Wim Abbeloos; Stijn Helsen; Abdellatif Bey-Temsamani; Toon Goedemé (IPTA, 2015)

Improved and accurate physics-of-failure (PoF) methodology for qualification and lifetime assessment of electronic systems. - Abdellatif Bey-Temsamani; S. Kauffmann; Y. Descas; Bart Vandevelde; Franco Zanon; Geert Willems (Microelectron. Reliab., 2017)

Physics-of-Failure (PoF) methodology for qualification and lifetime assessment of supercapacitors for industrial applications. - Abdellatif Bey-Temsamani; S. Kauffmann; Stijn Helsen; T. Gaens; V. Driesen (Microelectron. Reliab., 2018)

AI meets Agriculture: A Smart System for Foreign Object Damage Avoidance. - Abdellatif Bey-Temsamani; Agusmian Partogi Ompusunggu; Florian Hammer (ICPS, 2020)

Sparse Multi-sensor Monitoring System Design for Vehicle Application. - Saeideh Khatiry Goharoodi; Ted Ooijevaar; Abdellatif Bey-Temsamani; Guillaume Crevecoeur (CASE, 2021)

Fast Initialization of Control Parameters using Supervised Learning on Data from Similar Assets. - Jeroen Willems; Kerem Eryilmaz; Denis Steckelmacher; Bruno Depraetere; Rian Beck; Abdellatif Bey-Temsamani; Jan Helsen; Ann Nowé (CCTA, 2022)

A Strong Geometric Baseline for Cross-View Matching of Multi-person 3D Pose Estimation from Multi-view Images. - Sam Dehaeck; Corentin Domken; Abdellatif Bey-Temsamani; Gabriel Abedrabbo (ICIAP (2), 2022)

Encoding Stability into Laser Powder Bed Fusion Monitoring Using Temporal Features and Pore Density Modelling. - Brian G. Booth; Rob Heylen; Mohsen Nourazar; Dries Verhees; Wilfried Philips; Abdellatif Bey-Temsamani (Sensors, 2022)

Accelerated Monitoring of Powder Bed Fusion Additive Manufacturing via High-Throughput Imaging and Low-Latency Machine Learning. - Ayyoub Ahar; Rob Heylen; Dries Verhees; Cyril Blanc; Abdellatif Bey-Temsamani (AIAI (2), 2023)

Directed Real-World Learned Exploration. - Matthias Hutsebaut-Buysse; Ferran Gebelli Guinjoan; Erwin Rademakers; Steven Latré; Abdellatif Bey-Temsamani; Kevin Mets; Erik Mannens; Tom De Schepper (IROS, 2023)

CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry. - Steven Moonen; Bram Vanherle; Joris de Hoog; Taoufik Bourgana; Abdellatif Bey-Temsamani; Nick Michiels (WACV (Workshops), 2023)

Wide-baseline multi-camera calibration from a room filled with people. - Sam Dehaeck; Corentin Domken; Abdellatif Bey-Temsamani; Gabriel Abedrabbo (Mach. Vis. Appl., 2023)

High-speed Interpretable Representation Learning of Melt Pool Signatures in Metal Additive Manufacturing. - Mathieu Vandecasteele; Dries Verhees; Wilfried Philips; Abdellatif Bey-Temsamani; Brian G. Booth (CASE, 2024)

High-Speed Deformation Prediction in Selective Laser Melting Using Context-Adaptive Neural Networks. - Mathieu Vandecasteele; Domenico Iuso; Milad Hamidi Nasab; Dries Verhees; Joaquim G. Sanctorum; Mohsen Nourazar; Abdellatif Bey-Temsamani; Brian G. Booth (ICMLA, 2024)

Hybrid Data Fusion for Low-Cost High-Speed Monitoring in Powder Bed Fusion 3D Printing. - Brian G. Booth; Sam Leroux; Dries Verhees; Mathieu Vandecasteele; Cyril Blanc; Abdellatif Bey-Temsamani; Wilfried Philips (ICCAE, 2025)

Enabling Privacy-Aware AI-Based Ergonomic Analysis. - Sander De Coninck; Emilio Gamba; Bart Van Doninck; Abdellatif Bey-Temsamani; Sam Leroux; Pieter Simoens (CoRR, 2025)