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