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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17%; open Zhang, F., Zhou, B., Liu, L., Liu, Y., Fung, H. H., Lin, H., & Ratti, C. (2018) Find in CUMINCAD Measuring Human Perceptions of a Large-scale Urban Region Using Machine Learning , Landscape and Urban Planning, 18, 148-16. Available at: https://doi.org/1.116/j.landurbplan.218.8.2

17%; open Zhang, F., Zhou, B., Liu, L., Liu, Y., Fung, H.H., Lin, H. and Ratti, C., (2018) Find in CUMINCAD Measuring human perceptions of a large-scale urban region using machine learning , Landscape and Urban Planning, 180, pp.148-160

17%; open Zhang, Fan, Bolei Zhou, Liu Liu, Yu Liu, Helene H. Fung, Hui Lin,and CarloRatti (2018) Find in CUMINCAD Measuring Human Perceptions of a Large-Scale Urban Region Using Machine Learning , Landscape and Urban Planning 180 (September): 148–160

17%; open Zhang, H and Blasetti, E (2020) Find in CUMINCAD 3D Architectural Form Style Transfer through Machine Learning , the 25th CAADRIA Conference, Bangkok, Thailand, pp. 659-668

17%; open Zhang, H. & Blasetti, E. (2020) Find in CUMINCAD 3D Architectural Form Style Transfer Through Machine Learning , 25th International Conference on Computer-Aided Architectural Design Research in Asia: RE: Anthropocene, CAADRIA 22 (pp. 659-668).

17%; open Zhang, H. & Huang, Y. (2021) Find in CUMINCAD Machine Learning Aided 2D-3D Architectural Form Finding at High Resolution , P. F. Yuan, J. Yao, C. Yan, X. Wang, & N. Leach (Eds.), Proceedings of the 2020 DigitalFUTURES (pp. 159–168). Springer. HYPERLINK "https://doi.org/10.1007/978-981-33-4400-6_15\\" https://doi.org/10.1007/978-981-33-4400-6_15

17%; open Zhang, H. (2019) Find in CUMINCAD 3D model generation on architectural plan and section training through machine learning , Technologies, 7(4), 82

17%; open Zhang, H. (2019) Find in CUMINCAD 3D Model Generation on Architectural Plan and Section Training through Machine Learning , Technologies Special Issue "Computer-Aided Architectural Design", 7(4), p. 82

17%; open Zhang, H. (2019) Find in CUMINCAD 3D Model Generation on Architectural Plan and Section Training through Machine Learning , Technologies, 7(4), p. 82. doi:10.3390/technologies7040082

17%; open Zhang, Hang, and Ezio Blasetti (2020) Find in CUMINCAD 3D Architectural Form Style Transfer through Machine Learning , Anthropocene, Design in the Age of Humans [Proceedings of the 25th CAADRIA Conference, Volume 2], Bangkok, Thailand, 5–6 August 2020, edited by D. Holzer, W. Nakapan, A. Globa, and I. Koh, 659–668. CUMINCAD

17%; open Zhang, J, Wu, W and Li, H (2018) Find in CUMINCAD Enhancing building information modeling competency among civil engineering and management students with team-based learning , Journal of Professional Issues in Engineering Education and Practice, 144(2), p. 0000356

17%; open Zhang, L., T. Jeng, and R. Zhang. (2018) Find in CUMINCAD Integration of Virtual Reality, 3-D Eye-Tracking, and Protocol Analysis for Re-Designing Street Space , Learning, Adapting and Prototyping; Proceedings of the 23rd CAADRIA Conference, Volume 1, 431-440

17%; open Zhang, Marvin, Xinyang Geng, Jonathan Bruce, Ken Caluwaerts, Massimo Vespignani, Vytas SunSpiral, Pieter Abbeel, and Sergey Levine. (2017) Find in CUMINCAD Deep Reinforcement Learning for Tensegrity Robot Locomotion , 2017 IEEE International Conference on Robotics and Automation (ICRA), 634–41

17%; open Zhang, Marvin, Xinyang Geng, Jonathan Bruce, Ken Caluwaerts, Massimo Vespignani, Vytas SunSpiral, Pieter Abbeel, Sergey Levine (2017) Find in CUMINCAD Deep Reinforcement Learning for Tensegrity Robot Locomotion , arXiv:1609.09049v3 [cs.RO] 8 Mar 2017

17%; open Zhang, Marvin, Xinyang Geng, Jonathan Bruce, Ken Caluwaerts, Massimo Vespignani, Vytas SunSpiral, Pieter Abbeel, Sergey Levine (2017) Find in CUMINCAD Deep Reinforcement Learning for Tensegrity Robot Locomotion , arXiv:1609.09049v3 [cs.RO] 8 Mar 2017

17%; open Zhang, S. et al. (2023) Find in CUMINCAD Text-to-Garden: Generating Traditional Chinese Garden Design From Text-Descriptions at Scale With Multimodal Machine Learning , CAADRIA 2023: Human-Centric, Ahmedabad, pp. 79-88. Available at: https://doi.org/10.52842/conf.caadria.2023.1.079

17%; open Zhang, W. J., G. Yang, Y. Lin, C. Ji, and M. M. Gupta (2018) Find in CUMINCAD On Definition of Deep Learning , 2018 World Automation Congress (WAC), 1–5. https://www.doi.org/10.23919/WAC.2018.8430387.Goodfellow, Ian, Yoshua Bengio, and Aaron Courville. 2016. Deep Learning. Cambridge, MA: MIT Press

17%; open Zhang, Y, Grignard, A, Aubuchon, A, Lyons, K and Larson, K (2018) Find in CUMINCAD Machine Learning for Real-time Urban Metrics and Design Recommendations , ACADIA // 2018: Recalibration. On imprecision and infidelity.

17%; open Zhang, Y., Aubuchon, A., Lyons, K. & Larson, K. (2018) Find in CUMINCAD Machine learning for real-time urban metrics and design recommendations , ACADIA 2018

17%; open Zhang, Y., Zhang, Q., Zhao, Y., Deng, Y., & Zheng, H. (2022) Find in CUMINCAD Urban Spatial Risk Prediction and Optimization Analysis of Poi Based on Deep Learning from the Perspective of an Epidemic , International Journal of Applied Earth Observation and Geoinformation, 112, 12942. Available at: https://doi.org/1.116/j.jag.222.12942

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