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ORCIDAlexandros A. Taflanidis
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2020 – today
- 2024
[j9]WoongHee Jung, Alexandros A. Taflanidis
, Aikaterini P. Kyprioti, Jize Zhang:
Adaptive multi-fidelity Monte Carlo for real-time probabilistic storm surge predictions. Reliab. Eng. Syst. Saf. 247: 109994 (2024)- 2023
- [j8]Ehsan Adeli, Luning Sun, Jianxun Wang, Alexandros A. Taflanidis:
An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions. Neural Comput. Appl. 35(26): 18971-18987 (2023) - [j7]WoongHee Jung, Alexandros A. Taflanidis:
Efficient global sensitivity analysis for high-dimensional outputs combining data-driven probability models and dimensionality reduction. Reliab. Eng. Syst. Saf. 231: 108805 (2023) - 2022
- [i2]Ehsan Adeli, Luning Sun, Jianxun Wang, Alexandros A. Taflanidis:
An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions. CoRR abs/2204.09501 (2022) - 2021
- [i1]Ehsan Adeli, Jize Zhang, Alexandros A. Taflanidis:
Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations. CoRR abs/2111.02823 (2021) - 2020
- [j6]Jize Zhang, Alexandros A. Taflanidis, Jeffrey T. Scruggs:
Surrogate modeling of hydrodynamic forces between multiple floating bodies through a hierarchical interaction decomposition. J. Comput. Phys. 408: 109298 (2020)
2010 – 2019
- 2019
- [j5]Alexandros A. Taflanidis, Agathoklis Giaralis, D. Patsialis:
Multi-objective optimal design of inerter-based vibration absorbers for earthquake protection of multi-storey building structures. J. Frankl. Inst. 356(14): 7754-7784 (2019) - 2015
- [j4]Yiannis Tsompanakis, Peter Iványi, André Teófilo Beck, Michael Beer, L. F. Costa Neves, Maria Girardi, H. A. J. Jensen, Kurt Marti, N. L. Rizzi, J. G. Santos da Silva, Alexandros A. Taflanidis, Barry H. V. Topping:
Special Issue: Civil-Comp. Adv. Eng. Softw. 89: 1-2 (2015) - [j3]Gaofeng Jia, Alexandros A. Taflanidis:
Non-parametric stochastic subset optimization utilizing multivariate boundary kernels and adaptive stochastic sampling. Adv. Eng. Softw. 89: 3-16 (2015) - 2014
- [c3]Alexandros A. Taflanidis, Juan Camilo Medina:
Simulation-Based Optimization in Design-Under-Uncertainty Problems Through Iterative Development of Metamodels in Augmented Design/Random Variable Space. SIMULTECH (Selected Papers) 2014: 251-273 - [c2]Alexandros A. Taflanidis, Juan Camilo Medina:
Adaptive kriging for simulation-based design under uncertainty development of metamodels in augmeted input space and adaptive tuning of their characteristics. SIMULTECH 2014: 785-797 - 2013
- [j2]Alexandros A. Taflanidis, Eva Loukogeorgaki, Demos C. Angelides:
Offshore wind turbine risk quantification/evaluation under extreme environmental conditions. Reliab. Eng. Syst. Saf. 115: 19-32 (2013) - 2012
- [j1]Alexandros A. Taflanidis:
Stochastic subset optimization incorporating moving least squares response surface methodologies for stochastic sampling. Adv. Eng. Softw. 44(1): 3-14 (2012)
2000 – 2009
- 2009
- [c1]Alexandros A. Taflanidis, Jeffrey T. Scruggs:
Probabilistically-robust performance optimization for controlled linear stochastic systems. ACC 2009: 4557-4562
Coauthor Index
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