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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	Partonen, T., & Lönnqvist, J. (1998) Seasonal affective disorder , CNS drugs, 9(3), 203-212

	Pasko, Alexander, O Fryazinov, T Vilbrandt, P A Fayolle, and V Adzhiev (2011) Procedural function-based modelling of volumetric microstructures , Graphical Models, 165-181.

	Pasko, Alexander, O Fryazinov, T Vilbrandt, P A Fayolle, and V Adzhiev (2011) Procedural function-based modelling of volumetric microstructures , Graphical Models, 165-181.

	Pastor A.M., Rodriguez R.N., Holguín J.T. et al. (2014) Workshops about geometry, 3D CAD and digital fabrication as a teaching strategy for architectural geometry, learning geometry and design studio , Proceedings of the SIGraDi 2014 design in freedom—18th conference of the Iberoamerican society of digital graphics, Montevideo, Uruguay, 12–14 November 2014, pp. 213–216. Montevideo: Blucher

	Paszke, A, Gross, S, Massa, F, Lerer, A, Bradbury, J, Chanan, G, Killeen, T, Lin, Z, Gimelshein, N and Antiga, L (2019) Pytorch: An imperative style, high-performance deep learning library , Advances in neural information processing systems, pp. 8026-8037

	Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., Desmaison, A., Kopf, A., Yang, E., DeVito, Z., Raison, M., Tejani, A., Chilamkurthy, S., Steiner, B., Fang, L., . . . Chintala, S. (2019) Pytorch: An imperative style, high-performance deep learning library , H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alche-Buc, E. Fox, and R. Garnett (Eds.), Advances in neural information processing systems, 32, 8024-8035. Curran Associates, Inc

	Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., Desmaison, A., Kopf, A., Yang, E., DeVito, Z., Raison, M., Tejani, A., Chilamkurthy, S., Steiner, B., Fang, L., ... Chintala, S. (2019) PyTorch: An Imperative Style, High-Performance Deep Learning Library , Advances in Neural Information Processing Systems 32 (pp. 8024-8035). Curran Associates, Inc. http://papers.neurips.cc/paper/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf

	Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., Desmaison, A., Köpf, A., Yang, E., DeVito, Z., Raison, M., Tejani, A., Chilamkurthy, S., Steiner, B., Fang, L., Chintala, S. (2019) PyTorch: An Imperative Style , High-Performance Deep Learning Library (arXiv:191201703). arXiv. https://doi.org/10.48550/arXiv.1912.01703

	Patel, NK Campion, SP and Fernando, T (2002) Evaluating the use of virtual reality as a tool for briefing clients in architecture , AD Williams (ed), Proceedings of the Sixth International conference on Information Visualization, IEEE, Los Alamitos, CA, pp. 657-663

	Patel, NK, Campion, SP and Fernando, T (2002) Evaluating the use of Virtual Reality as a tool , Proceedings of the Sixth International Conference on Information Visualisation

	Patel, Sayjel V., and Caitlin T. Mueller (2015) 3dj: 3d Sampling Haptic and Optically Performative Textures Remixed From 3d Scans , Modeling Behaviour: Proceedings of the Design Modeling Symposium, edited by M. R. Thomsen, M. Tamke, C. Gengnagel, B. Faircloth, and F. Scheurer, 527–542. Copenhagen: Springer

	Patel, Sayjel V., and Caitlin T. Mueller (2015) 3dj: 3d Sampling Haptic and Optically Performative Textures Remixed From 3d Scans , Modeling Behaviour: Proceedings of the Design Modeling Symposium, edited by M. R. Thomsen, M. Tamke, C. Gengnagel, B. Faircloth, and F. Scheurer, 527–542. Copenhagen: Springer

	Patel, Sayjel V., Mark K.-M. Tam, and Caitlin T. Mueller (2016) 3DJ: An Analytical and Generative Design System For Synthesizing High-Performance Textures From 3D Scans , Design Computing and Cognition 2016, edited by John S. Gero, 477–94. Cham, Switzerland: Springer

	Patel, Sayjel V., Mark K.-M. Tam, and Caitlin T. Mueller (2016) 3DJ: An Analytical and Generative Design System For Synthesizing High-Performance Textures From 3D Scans , Design Computing and Cognition 2016, edited by John S. Gero, 477–94. Cham, Switzerland: Springer

	Pathak, D., Krahenbuhl, P., Donahue, J. , Darrell, T., & Efros, A.A. (2016) Context Encoders: Feature Learning By Inpainting , 216 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)Available at: https://doi.org/1.119/CVPR.216.278.

	Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T. and Efros, A.A. (2016) Context Encoders: Feature Learning by Inpainting , Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2536-2544

	Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., Efros, A.A.: (2016) Context Encoders: Feature Learning by Inpainting , Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2016-December,7780647, pp. 2536-2544

	Pati, D., Cason, C., Harvey Jr, T. E., & Evans, J. (2010) An empirical examination of patient room handedness in acute medical-surgical settings , HERD: Health Environments Research & Design Journal, 4(1), 11–33

	Pati, D., Harvey Jr, T. E., & Barach, P. (2008) Relationships between exterior views and nurse stress: An exploratory examination , HERD: Health Environments Research & Design Journal, 1(2), 27–38

	Pati, D., Harvey Jr, T. E., Redden, P., Summers, B., & Pati, S. (2015) An empirical examination of the impacts of decentralized nursing unit design , HERD: Health Environments Research & Design Journal, 8(2), 56–70

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