Vahid Yaghoubi 
- (2019): Integrated interval Mahalanobis classification system for the quality classification of turbine blades based on vibrational data incorporating measurement uncertainty. In: Structural Health Monitoring, v. 22, n. 1 (November 2019).
- (2022): CNN-DST: Ensemble deep learning based on Dempster–Shafer theory for vibration-based fault recognition. In: Structural Health Monitoring, v. 21, n. 5 (März 2022).
- (2021): A novel multi-classifier information fusion based on Dempster–Shafer theory: application to vibration-based fault detection. In: 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. In: Structural Health Monitoring, v. 20, n. 6 (Februar 2021).
- (2016): An efficient exponential predictor-corrector time integration method for structures with local nonlinearity. In: Engineering Structures, v. 128 (Dezember 2016).
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