Marios Impraimakis 
- : Deep recurrent-convolutional neural network learning and physics Kalman filtering comparison in dynamic load identification. In: Structural Health Monitoring.
- (2023): A convolutional neural network deep learning method for model class selection. In: Earthquake Engineering and Structural Dynamics, v. 53, n. 2 (November 2023).
- (2022): Input–parameter–state estimation of limited information wind‐excited systems using a sequential Kalman filter. In: Structural Control and Health Monitoring, v. 29, n. 4 (14 März 2022).
- (2017): Multiscale modeling of carbon nanotube reinforced concrete. In: Composite Structures, v. 182 (Dezember 2017).
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