Introducing causal inference in the energy-efficient building design process von Chen, Xia, Abualdenien, Jimmy, Singh, Manav Mahan, Borrmann, André, Geyer, Philipp

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Convolutional neural network to learn building-shape representations for early-stage energy design von Singh, Manav Mahan, Smith, Ian F.C.

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Consistent management and evaluation of building models in the early design stages von Abualdenien, Jimmy, Schneider-Marin, Patricia, Zahedi, Ata, Harter, Hannes, Exner, Hannah, Steiner, Daniel, Mahan Singh, Manav, Borrmann, André, Lang, Werner, Petzold, Frank, König, Markus, Geyer, Philipp, Schnellenbach-Held, Martina

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Utilising building component data from BIM for formwork planning von Singh, Manav Mahan, Sawhney, Anil, Sharma, Vaishnavi

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Early-stage design support combining machine learning and building information modelling von Singh, Manav Mahan, Deb, Chirag, Geyer, Philipp

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Machine learning for early stage building energy prediction: Increment and enrichment von Singh, Manav Mahan, Singaravel, Sundaravelpandian, Geyer, Philipp

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Information requirements for multi-level-of-development BIM using sensitivity analysis for energy performance von Singh, Manav Mahan, Geyer, Philipp

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The medial cortical pedicle screw—a new technique for cervical pedicle screw placement with partial drilling of medial cortex von Mahesh, Bijjawara, MS, Upendra, Bidre, MS, Mahan, Rajkumar Singh, MBBS

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Utilizing domain knowledge: Robust machine learning for building energy performance prediction with small, inconsistent datasets von Chen, Xia, Singh, Manav Mahan, Geyer, Philipp

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Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning demonstrated by energy-efficient building design von Geyer, Philipp, Singh, Manav Mahan, Chen, Xia

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Quick energy prediction and comparison of options at the early design stage von Singh, Manav Mahan, Singaravel, Sundaravelpandian, Klein, Ralf, Geyer, Philipp

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Machine learning for early stage building energy prediction: Increment and enrichment von Singh, Manav Mahan, Singaravel, Sundaravelpandian, Geyer, Philipp

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Early-stage design support combining machine learning and building information modelling von Singh, Manav Mahan, Deb, Chirag, Geyer, Philipp

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Information requirements for multi-level-of-development BIM using sensitivity analysis for energy performance von Singh, Manav Mahan, Geyer, Philipp

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Introducing causal inference in the energy-efficient building design process von Chen, Xia, Abualdenien, Jimmy, Manav Mahan Singh, Borrmann, André, Geyer, Philipp

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Uncertainty Analysis of Life Cycle Energy Assessment in Early Stages of Design von Harter, Hannes, Singh, Manav Mahan, Schneider-Marin, Patricia, Lang, Werner, Geyer, Philipp

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Quick energy prediction and comparison of options at the early design stage von Singh, Manav Mahan, Singaravel, Sundaravelpandian, Klein, Ralf, Geyer, Philipp

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Component-Based Machine Learning for Energy Performance Prediction by MultiLOD Models in the Early Phases of Building Design von Geyer, Philipp, Singh, Manav Mahan, Singaravel, Sundaravelpandian

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Uncertainty Analysis of Life Cycle Energy Assessment in Early Stages of Design von Harter, Hannes, Singh, Manav Mahan, Schneider-Marin, Patricia, Lang, Werner, Geyer, Philipp

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Early Stage Design Support using Machine Learning and Building Information Modelling von Singh, Manav Mahan

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