Philipp Geyer - RankMe

32 papers Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Component-Based Machine Learning for Indoor Flow and Temperature Fields Prediction Latent Feature Aggregation and Flow Interaction. CoRR Shaofan Wang, Nils Thuerey, Philipp Geyer
2025	J	`jnl`	From 'What-is' to 'What-if' in Human-Factor Analysis: A Post-Occupancy Evaluation Case. CoRR Xia Chen, Ruiji Sun, Philipp Geyer, André Borrmann, Stefano Schiavon
2024	J	`jnl`	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 Philipp Geyer, Manav Mahan Singh, Xia Chen
2024	J	`jnl`	Integrating Symbolic Neural Networks with Building Physics: A Study and Proposal. CoRR Xia Chen, Guoquan Lv, Xinwei Zhuang, Carlos Duarte, Stefano Schiavon, Philipp Geyer
2024	J	`jnl`	Machine Learning in Proton Exchange Membrane Water Electrolysis - Part I: A Knowledge-Integrated Framework. CoRR Xia Chen, Alexander Rex, Janis Woelke, Christoph Eckert, Boris Bensmann, Richard Hanke-Rauschenbach, Philipp Geyer
2024	J	`jnl`	Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX. Biomed. Signal Process. Control. Xia Chen, Xiangbin Teng, Han Chen, Yafeng Pan, Philipp Geyer
2024	J	`jnl`	Utilizing domain knowledge: Robust machine learning for building energy performance prediction with small, inconsistent datasets. Knowl. Based Syst. Xia Chen, Manav Mahan Singh, Philipp Geyer
2023	J	`jnl`	A Dynamic Feedforward Control Strategy for Energy-efficient Building System Operation. CoRR Xia Chen, Xiaoye Cai, Alexander Kümpel, Dirk Müller, Philipp Geyer
2023	J	`jnl`	Pathway toward prior knowledge-integrated machine learning in engineering. CoRR Xia Chen, Philipp Geyer
2023	J	`jnl`	Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry. CoRR Xia Chen, Ruiji Sun, Ueli Saluz, Stefano Schiavon, Philipp Geyer
2023	J	`jnl`	Utilizing Domain Knowledge: Robust Machine Learning for Building Energy Prediction with Small, Inconsistent Datasets. CoRR Xia Chen, Manav Mahan Singh, Philipp Geyer
2022	J	`jnl`	A hybrid-model approach for reducing the performance gap in building energy forecasting. CoRR Xia Chen, Tong Guo, Martin Kriegel, Philipp Geyer
2022	J	`jnl`	A hybrid-model forecasting framework for reducing the building energy performance gap. Adv. Eng. Informatics Xia Chen, Tong Guo, Martin Kriegel, Philipp Geyer
2022	J	`jnl`	Introducing causal inference in the energy-efficient building design process. CoRR Xia Chen, Jimmy Abualdenien, Manav Mahan Singh, André Borrmann, Philipp Geyer
2022	J	`jnl`	Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX. CoRR Xia Chen, Xiangbin Teng, Han Chen, Yafeng Pan, Philipp Geyer
2021	J	`jnl`	Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning. CoRR Philipp Geyer, Manav Mahan Singh, Xia Chen
2021	J	`jnl`	Fusing data, engineering knowledge and artificial intelligence for the built environment. Adv. Eng. Informatics Philipp Geyer, Christian Koch, Pieter Pauwels
2020	J	`jnl`	Consistent management and evaluation of building models in the early design stages. J. Inf. Technol. Constr. Jimmy Abualdenien, Patricia Schneider-Marin, Ata Zahedi, Hannes Harter, Hannah Exner, Daniel Steiner, Manav Mahan Singh, André Borrmann, Werner Lang, Frank Petzold, Markus König, Philipp Geyer, Martina Schnellenbach-Held
2020	J	`jnl`	Information requirements for multi-level-of-development BIM using sensitivity analysis for energy performance. Adv. Eng. Informatics Manav Mahan Singh, Philipp Geyer
2020	J	`jnl`	Quick energy prediction and comparison of options at the early design stage. Adv. Eng. Informatics Manav Mahan Singh, Sundaravelpandian Singaravel, Ralf Klein, Philipp Geyer
2019	—	`ed.`	26th International Workshop on Intelligent Computing in Engineering, EG-ICE 2019, Leuven, Belgium, June 30 - July 3, 2019. EG-ICE Philipp Geyer, Karen Allacker, Mattias Schevenels, Frank De Troyer, Pieter Pauwels
2019	J	`jnl`	Deep convolutional learning for general early design stage prediction models. Adv. Eng. Informatics Sundaravelpandian Singaravel, Johan A. K. Suykens, Philipp Geyer
2018	—	`conf`	Component-Based Machine Learning for Energy Performance Prediction by MultiLOD Models in the Early Phases of Building Design. EG-ICE Philipp Geyer, Manav Mahan Singh, Sundaravelpandian Singaravel
2018	J	`jnl`	Deep-learning neural-network architectures and methods: Using component-based models in building-design energy prediction. Adv. Eng. Informatics Sundaravelpandian Singaravel, Johan A. K. Suykens, Philipp Geyer
2018	—	`conf`	Statistical Decision Assistance for Determining Energy-Efficient Options In Building Design Under Uncertainty. EG-ICE Manav Mahan Singh, Philipp Geyer
2017	J	`jnl`	Application of clustering for the development of retrofit strategies for large building stocks. Adv. Eng. Informatics Philipp Geyer, Arno Schlueter, Sasha Cisar
2016	J	`jnl`	Analysis of Georeferenced Building Data for the Identification and Evaluation of Thermal Microgrids. Proc. IEEE Arno Schlueter, Philipp Geyer, Sasha Cisar
2014	J	`jnl`	A Systems Engineering Methodology for Designing and Planning the Built Environment - Results from the Urban Research Laboratory Nuremberg and Their Integration in Education. Syst. Philipp Geyer, Jochen Stopper, Werner Lang, Maximilian Thumfart
2013	J	`jnl`	Advanced computing for the built environment. Adv. Eng. Informatics André Borrmann, Philipp Geyer, Christian Koch
2012	J	`jnl`	Systems modelling for sustainable building design. Adv. Eng. Informatics Philipp Geyer
2010	—	`—`	Multidisziplinäre Entwurfsoptimierung für das Bauwesen (Multidisciplinary Design Optimization for Buidlings) Philipp Geyer
2009	J	`jnl`	Component-oriented decomposition for multidisciplinary design optimization in building design. Adv. Eng. Informatics Philipp Geyer