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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	Rabardel, P. and G.Bourmauda (2003) From computer to instrument system: a developmental perspective , Interacting with Computers, 2003.(15), 665-691

	Rachael Luck (2018) Inclusive Design and Making in Practice: Bringing Bodily Experience in Close Contact With Making , Design Studies 54: 96–119

	Rada, RR and Bicknell, BE (1989) Ranking Documents with Thesaurus , Journal of the American Society for Information Science, 40(5), pp. 304-311

	Radford A, Metz L and Chintala S (2015) Unsupervised representation learning with deep convolutional generative adversarial networks, , http://arxiv.org/pdf/1511.06434v2 (2015).

	Radford A, Metz L and Chintala S (2016) Unsupervised representation learning with deep convolutional generative adversarial networks, 2016 , ArXiv:1511.06434 [Cs] http://arxiv.org/abs/1511.06434

	Radford, A, Metz, L and Chintala, S (2015) Unsupervised representation learning with deep convolutional generative adversarial networks , arXiv preprint arXiv:1511.06434, 1, pp. 1-5

	Radford, A, Metz, L and Chintala, S (2016) Unsupervised representation learning with deep convolutional generative adversarial networks. , Conference on Learning Representations (ICLR)

	Radford, A, Metz, L and Chintala, S (2016) Unsupervised representation learning with deep convolutional generative adversarial networks , arXiv preprint, arXiv:1511.06434

	Radford, A., Metz, L. and Chintala, S. (2016) Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , ICLR

	Radford, A., Metz, L., & Chintala, S. (2016) Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , ArXiv.org. https://arxiv.org/abs/1511.06434v2

	Radford, Alec, Luke Metz, and Soumith Chintala (2015) Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , ICLR (International Conference on Learning Representations). arXiv:1511.06434

	Radford, Alec, Luke Metz, and Soumith Chintala (2015) Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , arXiv preprint. arXiv:1511.06434

	Radomir, M., Przemyslaw, P. (1996) Visual Models of Plants Interacting with Their Environment , 23rd annual conference on Computer graphics and interactive techniques, ACM. (pp. 39741). The Association for Computing Machinery (ACM)

	Rael, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., & Liu, P. J. (2020) Exploring the Limits of Transfer Learning with a United Text-to-text Transformer , Journal of Machine Learning Research 21, Available at: https://doi.org/1.4855/arXiv.191.1683.

	Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., & Liu, P. J. (2020) Exploring the limits of transfer learning with a unified text-to-text transformer , The Journal of Machine Learning Research, 21(1), 5485-5551

	Raffle, H., Parkes, A. and Ishii, H. (2004) Topobo: A constructive assembly system with kinetic memory , Human Factors in Computing (CHI) ‘04.ACM

	Ragusa J.M. (Ed.) (1994) Multimedia: A New Dimension in Expert Systems Applications , Expert Systems with Applications. Special Iusse 7, 3, 385-465.

	Rahaman, H and Tan, BK (2011) Interpreting Digital Heritage: A Conceptual Model with End-Users' Perspective , International Journal of Architectural Computing, 9, pp. 99-113

	Rahaman, H. and Tan, B-K. (2009) Interpreting Digital Heritage: A Conceptual Model with End-Users’ Perspective , International Journal of Architectural Computing, 9(1), 99–113

	Rahaman, H. and Tan, B.K. (2011) Interpreting digital heritage: A conceptual model with end-users , International Journal of Architectural Computing (IJAC), 09(01), pp. 99-113

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