Jin-Xin Chen
- (2023): Prediction of ultimate condition of FRP-confined recycled aggregate concrete using a hybrid boosting model enriched with tabular generative adversarial networks. In: Thin-Walled Structures, v. 182 (January 2023).
- (2023): A general integrated machine learning pipeline: Its concept, main steps and application in shear strength prediction of RC beams strengthened with FRCM. In: Engineering Structures, v. 281 (April 2023).
- (2022): An interpretable ensemble-learning-based open source model for evaluating the fire resistance of concrete-filled steel tubular columns. In: Engineering Structures, v. 270 (November 2022).
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