Árpád Rózsás 
- (2023): Reliability‐based calibration of design code formulas: Application to shear resistance formulas for reinforced concrete members without shear reinforcement. In: Structural Concrete, v. 24, n. 2 (April 2023).
- (2024): Efficient Bayesian model selection and calibration using field data for a reinforced concrete slab bridge. In: Structure and Infrastructure Engineering, v. 20, n. 5 (Januar 2024).
- (2023): Siamese Convolutional Neural Networks to Quantify Crack Pattern Similarity in Masonry Facades. In: International Journal of Architectural Heritage, v. 17, n. 1 (November 2023).
- (2021): Structural and load parameter estimation of a real‐world reinforced concrete slab bridge using measurements and Bayesian statistics. In: Structural Concrete, v. 23, n. 6 (Dezember 2021).
- : Calibrating Partial Factors – Methodology, Input Data and Case Study of Steel Structures. In: Periodica Polytechnica Civil Engineering.
- (2020): A novel pro-active approach towards SHM-based bridge management supported by FE analysis and Bayesian methods. In: Structure and Infrastructure Engineering, v. 16, n. 2 (August 2020).
- (2020): On the value of a reliability-based nonlinear finite element analysis approach in the assessment of concrete structures. In: Structural Concrete, v. 21, n. 1 (Februar 2020).
- (2017): The effect of copulas on time-variant reliability involving time-continuous stochastic processes. In: Structural Safety, v. 66 (Mai 2017).
- (2018): Assessment of compressive strength of historic masonry using non-destructive and destructive techniques. In: Construction and Building Materials, v. 193 (Dezember 2018).
- (2015): Effect of Statistical Uncertainties in Ground Snow Load on Structural Reliability. Vorgetragen bei: IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015.
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