Philipp Geyer
Orcid: 0000-0002-0935-4361
According to our database1,
Philipp Geyer
authored at least 27 papers
between 2009 and 2024.
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Bibliography
2024
Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX.
Biomed. Signal Process. Control., January, 2024
Utilizing domain knowledge: Robust machine learning for building energy performance prediction with small, inconsistent datasets.
Knowl. Based Syst., 2024
Machine Learning in Proton Exchange Membrane Water Electrolysis - Part I: A Knowledge-Integrated Framework.
CoRR, 2024
Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning demonstrated by energy-efficient building design.
Adv. Eng. Informatics, 2024
2023
Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry.
CoRR, 2023
CoRR, 2023
Utilizing Domain Knowledge: Robust Machine Learning for Building Energy Prediction with Small, Inconsistent Datasets.
CoRR, 2023
A Dynamic Feedforward Control Strategy for Energy-efficient Building System Operation.
CoRR, 2023
2022
A hybrid-model approach for reducing the performance gap in building energy forecasting.
CoRR, 2022
CoRR, 2022
A hybrid-model forecasting framework for reducing the building energy performance gap.
Adv. Eng. Informatics, 2022
2021
Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning.
CoRR, 2021
Fusing data, engineering knowledge and artificial intelligence for the built environment.
Adv. Eng. Informatics, 2021
2020
J. Inf. Technol. Constr., 2020
Adv. Eng. Informatics, 2020
Information requirements for multi-level-of-development BIM using sensitivity analysis for energy performance.
Adv. Eng. Informatics, 2020
2019
Adv. Eng. Informatics, 2019
2018
Deep-learning neural-network architectures and methods: Using component-based models in building-design energy prediction.
Adv. Eng. Informatics, 2018
Statistical Decision Assistance for Determining Energy-Efficient Options In Building Design Under Uncertainty.
Proceedings of the 26th International Workshop on Intelligent Computing in Engineering, 2018
Component-Based Machine Learning for Energy Performance Prediction by MultiLOD Models in the Early Phases of Building Design.
Proceedings of the Advanced Computing Strategies for Engineering, 2018
2017
Application of clustering for the development of retrofit strategies for large building stocks.
Adv. Eng. Informatics, 2017
2016
Analysis of Georeferenced Building Data for the Identification and Evaluation of Thermal Microgrids.
Proc. IEEE, 2016
2014
A Systems Engineering Methodology for Designing and Planning the Built Environment - Results from the Urban Research Laboratory Nuremberg and Their Integration in Education.
Syst., 2014
2013
2012
2010
Multidisziplinäre Entwurfsoptimierung für das Bauwesen (Multidisciplinary Design Optimization for Buidlings)
PhD thesis, 2010
2009
Component-oriented decomposition for multidisciplinary design optimization in building design.
Adv. Eng. Informatics, 2009