Vahid Yaghoubi 
- (2019): Integrated interval Mahalanobis classification system for the quality classification of turbine blades based on vibrational data incorporating measurement uncertainty. Dans: Structural Health Monitoring, v. 22, n. 1 (novembre 2019).
- (2022): CNN-DST: Ensemble deep learning based on Dempster–Shafer theory for vibration-based fault recognition. Dans: Structural Health Monitoring, v. 21, n. 5 (mars 2022).
- (2021): A novel multi-classifier information fusion based on Dempster–Shafer theory: application to vibration-based fault detection. Dans: Structural Health Monitoring, v. 21, n. 2 (mai 2021).
- (2021): Quality inspection of complex-shaped metal parts by vibrations and an integrated Mahalanobis classification system. Dans: Structural Health Monitoring, v. 20, n. 6 (février 2021).
- (2016): An efficient exponential predictor-corrector time integration method for structures with local nonlinearity. Dans: Engineering Structures, v. 128 (décembre 2016).
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