Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Papakonstantinou, Konstantinos"'
Autor:
Kozodoi, Nikita, Lessmann, Stefan, Alamgir, Morteza, Moreira-Matias, Luis, Papakonstantinou, Konstantinos
Scoring models support decision-making in financial institutions. Their estimation and evaluation are based on the data of previously accepted applicants with known repayment behavior. This creates sampling bias: the available labeled data offers a p
Externí odkaz:
http://arxiv.org/abs/2407.13009
This work introduces a novel framework for precisely and efficiently estimating rare event probabilities in complex, high-dimensional non-Gaussian spaces, building on our foundational Approximate Sampling Target with Post-processing Adjustment (ASTPA
Externí odkaz:
http://arxiv.org/abs/2405.14149
This paper presents in detail the originally developed Quadratic Point Estimate Method (QPEM), aimed at efficiently and accurately computing the first four output moments of probabilistic distributions, using 2n^2+1 sample (or sigma) points, with n,
Externí odkaz:
http://arxiv.org/abs/2403.13203
Autor:
Kamariotis, Antonios, Chatzi, Eleni, Straub, Daniel, Dervilis, Nikolaos, Goebel, Kai, Hughes, Aidan J., Lombaert, Geert, Papadimitriou, Costas, Papakonstantinou, Konstantinos G., Pozzi, Matteo, Todd, Michael, Worden, Keith
Publikováno v:
DCE 5 (2024) e27
To maximize its value, the design, development and implementation of Structural Health Monitoring (SHM) should focus on its role in facilitating decision support. In this position paper, we offer perspectives on the synergy between SHM and decision-m
Externí odkaz:
http://arxiv.org/abs/2402.00021
Autor:
Arcieri, Giacomo, Hoelzl, Cyprien, Schwery, Oliver, Straub, Daniel, Papakonstantinou, Konstantinos G., Chatzi, Eleni
Partially Observable Markov Decision Processes (POMDPs) can model complex sequential decision-making problems under stochastic and uncertain environments. A main reason hindering their broad adoption in real-world applications is the lack of availabi
Externí odkaz:
http://arxiv.org/abs/2307.08082
Autor:
Arcieri, Giacomo, Hoelzl, Cyprien, Schwery, Oliver, Straub, Daniel, Papakonstantinou, Konstantinos G., Chatzi, Eleni
Structural Health Monitoring (SHM) describes a process for inferring quantifiable metrics of structural condition, which can serve as input to support decisions on the operation and maintenance of infrastructure assets. Given the long lifespan of cri
Externí odkaz:
http://arxiv.org/abs/2212.07933
Autor:
Morato, Pablo G., Andriotis, Charalampos P., Papakonstantinou, Konstantinos G., Rigo, Philippe
Publikováno v:
Reliability Engineering & System Safety (2023), 235, 109144
In the context of modern environmental and societal concerns, there is an increasing demand for methods able to identify management strategies for civil engineering systems, minimizing structural failure risks while optimally planning inspection and
Externí odkaz:
http://arxiv.org/abs/2209.01092
Accurate and efficient estimation of rare events probabilities is of significant importance, since often the occurrences of such events have widespread impacts. The focus in this work is on precisely quantifying these probabilities, often encountered
Externí odkaz:
http://arxiv.org/abs/2007.00180
Autor:
Arcieri, Giacomo, Hoelzl, Cyprien, Schwery, Oliver, Straub, Daniel, Papakonstantinou, Konstantinos G., Chatzi, Eleni
Publikováno v:
In Reliability Engineering and System Safety November 2023 239
Publikováno v:
In Probabilistic Engineering Mechanics October 2023 74