An Out-of-Sample Clustering Ensemble Method for Defect Detection and Classification in Metal Additive Manufacturing - Sylvain Chabanet; Adil Han Orta; Mathias Kersemans (Innovative Intelligent Industrial Production and Logistics - 5th International Conference, IN4PL 2024, Porto, Portugal, November 21-22, 2024, Proceedings, Part I, 2024)

On the Identification of Orthotropic Elastic Stiffness Using 3D Guided Wavefield Data - Adil Han Orta; Mathias Kersemans; Koen Van Den Abeele (Sensors, 2022)

Defect Detection and Depth Estimation in CFRP Through Phase of Transient Response of Flash Thermography - Bahadin Azizinasab; Reza P. R. Hasanzadeh; Saeid Hedayatrasa; Mathias Kersemans (IEEE Trans. Ind. Informatics, 2022)

Vibration-Based Condition Monitoring By Ensemble Deep Learning - Vahid Yaghoubi; Liangliang Cheng; Wim Van Paepegem; Mathias Kersemans (CoRR, 2021)

CNN-DST: ensemble deep learning based on Dempster-Shafer theory for vibration-based fault recognition - Vahid Yaghoubi; Liangliang Cheng; Wim Van Paepegem; Mathias Kersemans (CoRR, 2021)

Multi-Classifier selection-fusion framework: application to NDT of complex metallic parts - Vahid Yaghoubi; Liangliang Cheng; Wim Van Paepegem; Mathias Kersemans (CoRR, 2020)

A novel multi-classifier information fusion based on Dempster-Shafer theory: application to vibration-based fault detection - Vahid Yaghoubi; Liangliang Cheng; Wim Van Paepegem; Mathias Kersemans (CoRR, 2020)