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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	Xu, T, Wang, D, Yang, M, You, X and Huang, W (2018) An Evolving Built Environment Prototype , Learning, Adapting and Prototyping: Proceedings of the 23rd CAADRIA conference, Beijing, pp. 207-215

	Xu, Z (2018) Learning from multi-domain artistic images for arbitrary style transfer. , arxiv

	Y. Y. Tan and T. L. Lee (2018) The flexible textile mesh , Learning, Adapting and Prototyping (CAADRIA) 2018

	Y. Zhang, A. Grignard, A. Aubuchon, K. Lyons, and K. Larson (2018) Machine Learning for Real-Time Urban Metrics and Design Recommendations , ACADIA 18: Recalibration, Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture. 196–205

	Y. Zhang, W. Yu, C.K. Liu, C. Kemp, and G. Turk (2020) Learning to manipulate amorphous materials , ACM Transactions on Graphics 39 (6): 1–11

	Yabuki N, Nishimura N and Fukuda T. (2018) Automatic object detection from digital images by deep learning with transfer learning, advanced computing strategies for engineering , EG-ICE 2018 (25th Workshop of the European Group for Intelligent Computing in Engineering). Lecture Notes Computer Sci; 10863: 3–15.

	Yabuki, K, et al. (2015) Basic study on the method of landscape evaluation with deep learning , Proceeding of the annual symposium of Japan Society of Graphic Science, pp. 23-28

	Yabuki, N, Nishimura, N and Fukuda, T (2018) Automatic Object Detection from Digital Images by Deep Learning with Transfer Learning , Advanced Computing Strategies for Engineering. EG-ICE 2018 (25th Workshop of the European Group for Intelligent Computing in Engineering). Lecture Notes in Computer Science, Lausanne, pp. 3-15, Vol.10863

	Yamaguchi, Y, Yamashita, T and Fujiyoshi, H (2012) Human Detection Based on Statistical Learning , IPSJ SIG Notes, 18, pp. 1-14

	Yan, K, Au, M, Chan, R and Tsang, C (2013) Open Education: Challenges in Hong Kong , 8th International Conference on Information and Communication Technology in Teaching and Learning, ICT 2013 Hong Kong, China, July 2013, Revised Selected Papers?, pp. 212-226

	Yan, W. and Forsyth, D. (2005) Learning the Behavior of Users in a Public Space through Video Tracking , Proceedings of IEEE Workshop on Applications of Computer Vision (WACV 05)

	Yan, W., and D. A. Forsyth (2005) Learning the Behaviour of Users in a Public Space through Video Tracking , Workshops on Application of Computer Vision 2005, 370-377

	Yan, W., and Forsyth, D. (2005) Learning the Behavior of Users in a Public Space through Video Tracking [forthcoming] , Proceedings of IEEE WACV

	Yan, X. & Crookes, R. J. (2009) Reduction potentials of energy demand and GHG emissions in China's road transport sector , Energy Policy, 37(2), 658-668. https://doi.org/10.1016/j.enpol.2008.10.008Yang, B., Wang, J., Clark, R., Hu, Q., Wang, S., Markham, A., & Trigoni, N. (20). Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. In 33rd International Conference on Neural Information Processing Systems (pp. 2940-2949)

	Yan, Xinghui, Zhu, Jihong, Kuang, Minchi and Wang, Xiangyang (2019) Aerodynamic shape optimization using a novel optimizer based on machine learning techniques , Aerospace Science and Technology, 86, pp. 826-835

	Yang L, Lyu K, Li H, et al (2020) Building climate zoning in China using supervised classification-based machine learning , Building Environ 2020; 171: 106663, Article. DOI: 10.1016/j.buildenv.2020.106663

	Yang Z, Jiang H and Zou L (2019) 3D Conceptual Design Using Deep Learning , In Science and Information Conference (pp. 16–26). Cham: Springer, 2019.

	Yang, L., & Qin, Z. (2023) Mycelium-based wood composites for lightweight and high strength by experiment and machine learning , Cell Reports Physical Science, 4(6),. https://doi.org/10.1016/j.xcrp.2023.101424

	Yang, Q., Scuito, A., Zimmerman, J., Forlizzi, J., & Steinfeld, A. (2018) Investigating How Experienced UX Designers Effectively Work with Machine Learning , Proceedings of the 2018 Designing Interactive Systems Conference, 585-596. https://doi.org/10.1145/3196709.3196730

	Yang, X. & Xu, W. (2021) A Tool for Searching Active Bending Bamboo Strips in Construction via Deep Learning , 26th International Conference of the Association for Computer-Aided Architectural Design Research Asia, CAADRIA 2021 (pp.2409-2417). The Association for Computer-Aided Architectural Design Research Asia (CAADRIA)

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