Martin Takáč
- (2021): DynNet: Physics-based neural architecture design for nonlinear structural response modeling and prediction. Dans: Engineering Structures, v. 229 (février 2021).
- (2021): Uncertainty quantification in digital image correlation for experimental evaluation of deep learning based damage diagnostic. Dans: Structure and Infrastructure Engineering, v. 17, n. 11 (septembre 2021).
- (2020): Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 35, n. 12 (12 novembre 2020).
- (2020): Modal Identification of Bridges Using Mobile Sensors with Sparse Vibration Data. Dans: Journal of Engineering Mechanics (ASCE), v. 146, n. 4 (avril 2020).
- (2019): Convolutional Neural Network Approach for Robust Structural Damage Detection and Localization. Dans: Journal of Computing in Civil Engineering, v. 33, n. 3 (mai 2019).
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