1 citations · 1 across the 3 of their papers we have counts for
5 papers
From 'What-is' to 'What-if' in Human-Factor Analysis: A Post-Occupancy Evaluation Case
Xia Chen, Ruiji Sun, Philipp Geyer +2
Human-factor analysis typically employs correlation analysis and significance testing to identify relationships between variables. However, these descriptive ('what-is') methods, w…
Integrating Symbolic Neural Networks with Building Physics: A Study and Proposal
Xia Chen, Guoquan Lv, Xinwei Zhuang +3
Symbolic neural networks, such as Kolmogorov-Arnold Networks (KAN), offer a promising approach for integrating prior knowledge with data-driven methods, making them valuable for ad…
Machine Learning in Proton Exchange Membrane Water Electrolysis -- Part I: A Knowledge-Integrated Framework
Xia Chen, Alexander Rex, Janis Woelke +4
In this study, we propose to adopt a novel framework, Knowledge-integrated Machine Learning, for advancing Proton Exchange Membrane Water Electrolysis (PEMWE) development. Given th…
Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry
Xia Chen, Ruiji Sun, Ueli Saluz +2
The decision-making process in real-world implementations has been affected by a growing reliance on data-driven models. We investigated the synergetic pattern between the data-dri…
Pathway toward prior knowledge-integrated machine learning in engineering
Xia Chen, Philipp Geyer
Despite the digitalization trend and data volume surge, first-principles models (also known as logic-driven, physics-based, rule-based, or knowledge-based models) and data-driven a…