Cumincad : CUMINCAD References : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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	Zheng, H (2020) Form Finding and Evaluating Through Machine Learning: The Prediction of Personal Design Preference in Polyhedral Structures , Proceedings of the 2019 DigitalFUTURES, Shanghai, China, 7–8 July 2019, edited by Yuan P., Xie Y., Yao J., Yan C. 169–178. Singapore: Springer. https://doi.org/10.1007/978-981-13-8153-9_15

	Zheng, Hao, and Weixin Huang (2018) Architectural Drawings Recognition and Generation through Machine Learning , ACADIA 2018: Recalibration: On Imprecision and Infidelity [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA)], Mexico City, Mexico, 18–20 October 2018, edited by P. Anzalone, M. del Signore, and A. J. Wit, 156–165. CUMINCAD.

	Zheng, T., Pan, Q., Zhang, X., Wang, C., Yan, Y., & Van De Voorde, T. (2024) Research Note: Linking sensory perceptions with landscape elements through a combined approach based on prior knowledge and machine learning , Landscape and Urban Planning, 242, 104928. https://doi.org/10.1016/j.landurbplan.2023.104928

	Zheng, ZH (2019) Form Finding and Evaluating Through Machine Learning: ThePrediction of Personal Design Preference in Polyhedral Structures , Proceedings of the 2019 DigitalFUTURES

	Zhong, X. et al. (2022) A Discussion on an Urban Layout Workflow Utilizing Generative Adversarial Network (GAN) - With a focus on automatized labeling and dataset acquisition , eCAADe 2022: Co-creating the Future - Inclusion in and through Design, Ghent, Belgium, pp. 583-592

	Zhong, X., Fricker, P., Yu, F., Tan, C., & Pan, Y. (2022) A Discussion on an Urban Layout Workflow Utilizing Generative Adversarial Network (GAN) - With a focus on automatized labeling and dataset acquisition , DOI:10.52842/conf.ecaade.2022.2.583 eCAADe 2022: Co-creating the Future - Inclusion in and through Design

	Zhou, B., Zhao, H., Puig, X., Fidler, S., Barriuso, A., Torralba, A. (2017) Scene Parsing Through ADE20K Dataset , Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

	Zhou, B., Zhao, H., Puig, X., Fidler, S., Barriuso, A., & Torralba, A. (2017) Scene Parsing through ADE20K Dataset , 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5122-5130. https://doi.org/10.1109/CVPR.2017.544

	Zhou, B., Zhao, H., Puig, X., Fidler, S., Barriuso, A., & Torralba, A. (2017) Scene Parsing Through Ade20k Dataset , Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 633-641

	Zhou, B., Zhao, H., Puig, X., Xiao, T., Fidler, S., Barriuso, A. & Torralba, A. (2018) Semantic Understanding of Scenes Through the ADE20K Dataset , International Journal of Computer Vision, 127(3), 302–321. https://doi.org/10.1007/s11263-018-1140-0

	Zimmerman, J, Forlizzi, J and Evenson, S (2007) Research through design as a method for interaction design research in HCI , Proceedings of the SIGCHI conference on Human factors in computing systems, pp. 493-502

	Zimmerman, J. and Forlizzi, J. (2014) Research through design in HCI , J.S. Olson and W.A. Kellogg, eds. Ways of Knowing in HCI. Springer, pp.167-189. Available at: https://doi.org/10.1007/978-1-4939-0378-8_8(Accessed: 30 March 2024)

	Zimmerman, J., Forlizzi, J., & Evenson, S. (2007) Research Through design as a Method for Design in HCI , Paper presented at the CHI 2007, San Jose, California

	Zohreh Shaghaghian, Wei Yan, and Dezhen Song (2021) Towards Learning Geometric Transformations through Play: An AR-Powered Approach , The 5th International Conference on Virtual andAugmented Reality Simulations. Melbourne, Australia

	Zou, Y, Kiviniemi, A and Jones, SW (2017) A review of risk management through BIM and BIM-related technologies , Safety Science, 97, pp. 88-98

	Zwicky, F. (1969) Discovery, Invention, Research through the morphological approach , Macmillan

	Álvarez, M., Bernal, M., & Castro, C. (2020) Modeling technique for vault-like structure generation through topological manipulation , Congreso SIGraDi 2020: Transformative Design (pp. 238–245). Blucher

	Donkers, S, Ledoux, H, Zhao, J and Stoter, J (2016) Automatic conversion of IFC datasets to geometrically and semantically correct CityGML LOD3 buildings , Transactions in GIS, 20, pp. 547-569

	Frommholz, D., Linkiewicz, M., Meissner, H., Dahlke, D., & Poznanska, A. (2015) Extracting Semantically Annotated 3D Building Models with Textures from Oblique Aerial Imagery , The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Archives). Munich, Germany. Retrieved from http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W2/53/2015/isprsarchives-XL-3-W2-53-2015.pdf

	Gero, J.S. and Maher, M.L. (1992) Mutation and Analogy to Support Creativity in Computer-Aided Design , CAAD Futures '91, ed. G.Schmitt, Friedr. Vieweg & Sohn, Braunschweig /Wiesbaden, 1992. Case-based models [see also Oxman and Oxman 1992, p. 313] that distinguish semantically precedented design characteristics from those that require the identification of new dependency relationships; a case-based model carries a one-leveldeep hierarchy of design characteristics for each object, and instances or refers to a look-up table where a precedent exists

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