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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	Wolfe, Rosalee and Sears, Andrew (1996) An Effective Tool for Learning the Visual Effects of Rendering Algorithms , Computer Graphics. August 1996

	Wolters, C. A. (2003) Regulation of Motivation: Evaluating an Underemphasized Aspect of Self-Regulated Learning , Educational Psychologist, 38:4, 189-205. doi:10.1207/S15326985EP3804_1

	Won, S.H., Lee, C.G and Park, J (2017) A study on the Prediction of Land Price with Machine Learning Technique , Association of Korean Geographers, 51(4), pp. 347-355

	Wong, Anne and Helen Partridge (2016) Making as Learning: Makerspaces in Universities , Australian Academic & Research Libraries 47 (3): 143-159

	Woo, Y., Herrington, J., Agostinho, S. and Reeves, T. (2007) Implementing authentic tasks in web-based learning environments , EDUCAUSE Quarterly, 30(3), 36–43:

	Wood, D., Vailati, C., Menges, A. & Rüggeberg, M. (2018) Hygroscopically actuated wood elements for weather responsive and self-forming building parts – Facilitating upscaling and complex shape changes , Construction and Building Materials, 165, 782–791. https://doi.org/10.1016/j.conbuildmat.2017.12.134Zwierzycki, M., Nicholas, P., & Ramsgaard Thomsen, M. (2018). Localised and Learnt Applications of Machine Learning for Robotic Incremental Sheet Forming. In K. De Rycke, C. Gengnagel, O. Baverel, J. Burry, C. Mueller, M. M. Nguyen, P. Rahm, & M. R. Thomsen (Eds.), Humanizing Digital Reality (pp. 373–382). Springer Singapore. https://doi.org/10.1007/978-981-10-6611-5_32

	Wood, J.B. and Chambers, T. (1999) Value added learning: the CADET experience , H. Neuckermans and B. Geebelen, ed., Computers in design studio teaching. KU Leuven, Leuven

	Woodruff, A., Aoki, P. M., Grinter, A., Hurst, A., and Szymanski, M. H. (2002) Eavesdropping on Electronic Guidebooks: Observing Learning Resources in Shared Listening Environment , Proc. 6th Int’l Cinf. on Museum and the Web. Boston, USA

	Woolner, P., E. Hall, S. Higgins, C. McCaughey, and K. Wall (2007) A Sound Foundation? What We Know about the Impact of Environments on Learning and the Implications for Building Schools for the Future , Oxford Review of Education 33 (1): 47–70

	Woolner, P., Hall, E., Higgins, S., McCaughey, C., & Wall, K. (2007) A sound foundation? What we know about the impact of environments on learning and the implications for Building Schools for the Future , Oxford Review of Education, 33(1), 47-70

	Wu J, Zhang C, Xue T, et al (2016) Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling , Proceedings of the 30th international conference on neural information processing systems, Barcelona, Spain, 5-10 December, 2016

	Wu J, Zhang C, Xue T, et al (2017) Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling , arXiv:1610.07584 [cs] Barcelona, Spain., http://arxiv.org/abs/1610.07584

	Wu J, Zhang C, Xue T, et al (2017) Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling , Technical Report arXiv:1610.07584, arXiv

	Wu, J, Zhang, C, Xue, T, Freeman, B and Tenenbaum, J (2016) Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling , Advances in neural information processing systems, pp. 82-90

	Wu, J, Zhang, C, Xue, T, Freeman, B and Tenenbaum, J (2016) Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling , Advances in neural information processing systems, pp. 82-90

	Wu, J, Zhang, C, Xue, T, Freeman, WT and Tenenbaum, JB (2016) Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling , arXiv preprint, arXiv:1610.07584

	Wu, J, Zhang, C, Xue, T, Freeman, WT and Tenenbaum, JB (2017) Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling , NIPS 2016, Barcelona

	Wu, J., Lu, Y., Gao, H., & Wang, M. (2022) Cultivating Historical Heritage Area Vitality Using Urban Morphology Approach Based on Big Data and Machine Learning , Computers, environment and urban systems, 91, 11716, Available at: https://doi.org/1.116/j.compenvurbsys.221.117

	Wu, J., Zhang, C., Xue, T., Freeman, B. And Tenenbaum, J. (2016) Learning a Probabilistic Latent Space of Object Shapes Via 3D Generative-adversarial Modeling , Advances in neural information processing systems, 29. Available at: https://doi.org/1.4855/arXiv.161.7584

	Wu, J., Zhang, C., Xue, T., Freeman, W. T., & Tenenbaum, J. B. (2016) Learning a probabilistic latent space of object shapes via 3D Generative-Adversarial Modelling , arXiv (Cornell University). https://doi.org/10.48550/arxiv.1610.07584

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