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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	Ratti, C., & Claudel, M. (2016) The city of tomorrow: Sensors, networks, hackers, and the future of urban life , Yale University Press

	Ratti, C., & Claudel, M. (2016) The city of tomorrow: Sensors, networks, hackers, and the future of urban life , New Haven: Yale University Press

	Ratti, Carlo and Claudel, Matthew (2016) The city of tomorrow: Sensors, Networks, Hackers, and the Future of Urban Life , Yale University Press

	Reed, S., Akata, Z., Yan, X., Logeswaran, L., Schiele, And Lee, H. (2016) Generative adversarial text-to-image synthesis , ICML, 33 rd International Conference on Machine Learning,New York, NY, USA

	Reed, S., Akata, Z., Yan, X., Logeswaran, L., Schiele, B. & Lee, H. (2016) Generative adversarial text to image synthesis , International Conference on Machine Learning

	Reed, S., Akata, Z., Yan, X., Logeswaran, L., Schiele, B. and Lee, H. (2016) Generative adversarial text-to-image synthesis. , ICML

	Ren, S., He, K., Girshick, R. & Sun, J. (2016) Faster R-CNN: towards real-time object detection with region proposal networks , IEEE transactions on pattern analysis and machine intelligence, 39(6), 1137-1149

	Rottondi, C., & Verticale, G. (2016) Enabling privacy in a gaming framework for smart electricity and water grids , 2016 International Workshop on Cyber-physical Systems for Smart Water Networks (CySWater). (pp. 25-30). IEEE

	Schwartz, C. (2016) Critical making: Exploring the use of making as a generative tool , Journal of Curriculum and Pedagogy, 13(3), 227-248

	Sekara, V, Stopczynski, A and Lehmann, S (2016) Fundamental structures of dynamic social networks , Proceedings of the national academy of sciences, 113(36), pp. 9977-9982

	Sekara, V, Stopczynski, A and Lehmann, S (2016) Fundamental structures of dynamic social networks , Proceedings of the National Academy of Sciences of the United States of America, 113(36), pp 9977-9982

	Sekara, Vedran, Arkadiusz Stopczynski, and Sune Lehmann (2016) Fundamental Structures of Dynamic Social Networks , Proceedings of the National Academy of Sciences 113 (36): 9977–9982

	Sekara, Vedran, Arkadiusz Stopczynski, and Sune Lehmann (2016) Fundamental Structures of Dynamic Social Networks , Proceedings of the National Academy of Sciences 113 (36): 9977–9982

	Shelhamer, Evan, Jonathan Long, and Trevor Darrell (2016) Fully Convolutional Networks for Semantic Segmentation , ArXiv:1605.06211 [Cs], May. http://arxiv.org/abs/1605.06211

	Shelhamer, Evan, Jonathan Long, and Trevor Darrell (2017) Fully Convolutional Networks for Semantic Segmentation , IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (4): 640–651. https://doi.org/10.1109/TPAMI.2016.2572683

	Shih, S (2016) On the Hierarchical Construction of SL Blocks A Generative System that Builds Self-Interlocking Structures , Advances in Architectural Geometry 2016

	Silver, D, Huang, A, Maddison, CJ, Guez, A, Sifre, L, Van Den Driessche, G, Schrittwieser, J, Antonoglou, I, Panneershelvam, V, Lanctot, M, Dieleman, S, Grewe, D, Nham, J, Kalchbrenner, N, Sutskever, I, Lillicrap, T, Leach, M, Kavukcuoglu, K, Graepel, T and Hassabis, D (2016) Mastering the game of Go with deep neural networks and tree search , nature, 529(7587), p. 484

	Silver, D. et al. (2016) Mastering the game of Go with deep neural networks and tree search , Nature, 529, pp. 484-489. doi:10.1038/nature16961

	Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., Dieleman, S., Grewe, D., Nham, J., Kalchbrenner, N., Sutskever, I., Lillicrap, T., Leach, M., Kavukcuoglu, K., Graepel, T., & Hassabis, D. (2016) Mastering the Game of Go with Deep Neural Networks and Tree Search , Nature, 529, pp. 484-489

	Silver, D., Huang, A., Maddison, C.J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M. And Dieleman, S., (2016) Mastering the Game of Go with Deep Neural Networks and Tree Search , Nature, 529(7587), pp.484-489, Available at: https://doi.org/1.138/nature16961.

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