| Exploring optimal ways to represent topological and spatial features of building designs in deep learning methods and applications for architecture V Eisenstadt, H Arora, C Ziegler, J Bielski, C Langenhan, KD Althoff, ... CAADRIA, 2021 | 9 | 2021 |
| Quantifying the intangible-a tool for retrospective protocol studies of sketching during the early conceptual de-sign of architecture J Bielski, C Langenhan, C Ziegler, V Eisenstadt, A Dengel, KD Althoff International Conference of the Association for Computer-Aided Architectural …, 2022 | 5 | 2022 |
| Predicting semantic building information (bim) with recurrent neural networks B Mete, J Bielski, V Eisenstadt, C Langenhan, F Petzold, KD Althoff European Conference on Product and Process Modeling, 2022 | 4 | 2022 |
| Consistency Checker-An automatic constraint-based evaluator for housing spatial configurations H Arora, J Bielski, V Eisenstadt, C Langenhan, C Ziegler, KD Althoff, ... CUMINCAD, 2021 | 4 | 2021 |
| Comparative evaluation of tensor-based data representations for deep learning methods in architecture V Eisenstadt, H Arora, C Ziegler, J Bielski, C Langenhan, K Althoff, ... Proceedings of the 39th eCAADe conference 1, 45-54, 2021 | 4 | 2021 |
| » Autocompletion of Floor Plans for the Early Design Phase in Architecture: Foundations, Existing Methods, and Research Outlook « V Eisenstadt, J Bielski, B Mete, C Langenhan, KD Althoff, A Dengel POSTCARBON-Proceedings of the 27th CAADRIA Conference, Sydney, 323-332, 2022 | 3 | 2022 |
| The What Why, What-If and How-To for Designing Architecture-Explainability for auto-completion of computer-aided architectural design of floor plan layouting during the early … J Bielski, C Langenhan, C Ziegler, V Eisenstadt, F Petzold, A Dengel, ... International Conference of the Association for Computer-Aided Architectural …, 2022 | 3 | 2022 |
| CHASING THE WHITE RABBIT-A case study of predicting design phases of architects by training a deep neural network with sketch recognition through a digital drawing board Paper … J Bielski, B Mete, V Eisenstadt | 3* | |
| Autocompletion of Design Data in Semantic Building Models using Link Prediction and Graph Neural Networks V Eisenstadt, J Bielski, C Langenhan, KD Althoff, A Dengel Education and research in Computer Aided Architectural Design in Europe …, 2022 | 1 | 2022 |
| The Morphological Echo of Architects Concept for a Conversational Artificial Intelligence to Support Architects during the Early Design Stages J Bielski, V Eisenstadt, C Langenhan, B Mete Proceedings of 33. Forum Bauinformatik, 2022 | 1 | 2022 |
| Topological Queries and Analysis of School Buildings Based on Building Information Modeling (BIM) Using Parametric Design Tools and Visual Programming to Develop New Building … J Bielski, C Langenhan, B Weyand, M Neuber, V Eisenstadt, KD Althoff eCAADe-Education and research in Computer Aided Architectural Design in Europe, 2020 | 1 | 2020 |
| Methoden zur KI-basierten Autovervollständigung von frühen Grundrissentwürfen: Methodologie und Integration in ein bestehendes Framework V Eisenstadt, J Bielski, C Langenhan, B Mete, KD Althoff, A Dengel Proceedings of 33. Forum Bauinformatik, 2022 | | 2022 |
| Computational aids for architects for early design phases J Bielski | | 2021 |
| This Is How We Do It-Observing architects sketch to inform effective recognition of semantic building information C Ziegler, J Bielski, C Langenhan Education and research in Computer Aided Architectural Design in Europe …, 2021 | | 2021 |
| CROSS-DISCIPLINARY SEMANTIC BUILDING FINGERPRINTS C LANGENHAN, J BIELSKI, C ZIEGLER, V EISENSTADT, KD ALTHOFF, ... | | |
| Lost in Architectural Designing: Possible cognitive biases of architects during the early design phases J Bielski, C Langenhan, V Eisenstadt, F Petzold | | |
| Consistency Checker H Arora, J Bielski, V Eisenstadt, C Langenhan, C Ziegler, KD Althoff, ... | | |
