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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	Hulst A. and Ruijsendaal M. (2014) Serious gaming for complex decision making , International Journal of Technology Enhanced Learning; 6(3): 249-264

	Hung, P.-H., Hwang, G.-J., Lee, Y.-H., & Su, I-Hsiang. (2012) A cognitive component analysis approach for developing game-based spatial learning tools , Computers & Education, 59(2), 762–773. https://doi.org/10.1016/j.compedu.2012.03.018

	Hung, P.-H., Hwang, G.-J., Lee, Y.-H., & Su, I-Hsiang. (2012) A cognitive component analysis approach for developing game-based spatial learning tools , Computers & Education, 59(2), 762-773. https://doi.org/10.1016/j.compedu.2012.03.018

	Hunter, M. (2010) Content and Language Integrated Learning: Shifting Boundaries and Terrain Mapping , unpublished manuscript, Lancaster University, UK

	Hunter, N. (2012) The art of floral design , Cengage Learning

	Hutchins, E. (1996) Learning to navigate , S. Chaiklin & J. Lave (Eds.), Understanding practice: Perspectives on activity and context (pp. 35-63): Cambridge University Press

	Hymes, C and Klemmt, C (2018) Discrete Swarm Logics , Learning, Adapting and Prototyping, Proceedings of the 23rd International Conference of the Association for Computer-Aided Architectural

	Hymes, Connor and Christoph Klemm (2018) Discrete Swarm Logics , Learning, Prototyping and Adapting: Proceedings of the 23rd Annual Conference of the Association for Computer-Aided Architectural Design Research in Asia. Beijing: CAADRIA

	Hüllermeier, E., Fürnkranz, J., Cheng, W., Brinker, K. (2008) Label ranking by learning pairwise preferences , Artif. Intell. 172, 1897–1916

	I. Albuquerque, J. Monteiro, T. Doan, B. Considine, T. Falk, and I. Mitliagkas (2019) Multi-Objective Training of Generative Adversarial Networks with Multiple Discriminators , Proceedings of the 36th International Conference on Machine Learning. PMLR 97: 202–211

	I. Goodfellow, Y. Bengio, and C. Aaron (2016) Deep Learning , Cambridge, MA: MIT Press

	Ian Goodfellow, Yoshua Bengio, and Aaron Courville (2016) Deep Learning; Adaptive Computation and Machine Learning , Cambridge, Massachusetts: The MIT Press

	Ian, J., Goodfellow., Jean, P.A., Mehdi, M., Bing, X., David, W.F., Sherjil, O., Aaron, C., Yoshua, B. (2014) Generative Adversarial Networks , Machine Learning. arXiv:1406.2661. Available at: https://doi.org/10.48550/arXiv.1406.2661

	Ibrahim, Y., Nagy, B., Benedek, C., (2020) Deep Learning-Based Masonry Wall Image Analysis , Remote Sens. 12, 3918. https://doi.org/10.3390/rs12233918

	Ibrion, M., Paltrinieri, N., & Nejad, A.R. (2019) On Risk of Digital Twin Implementation in Marine Industry: Learning from Aviation Industry , Journal of Physics: Conference Series, 1357(1). Available at: https://doi.org/1.188/1742-6596/1357/1/129

	ICOTEL. (2006) Deliverable WP2-E-Learning Platforms, present state , ICOTEL (Information and Communication technologies in Lifelong Learning), from the Leonardo Da Vinci programme (SK/02/B/F/PP/-142261) – project homepage unavailable at the time of writing

	Ikeno K, Fukuda T and Yabuki N. (2020) Automatic generation of horizontal building mask images by using a 3d model with aerial photographs for deep learning , Proceedings of eCAADe; 2: 271–278.

	Ikeno, K, Fukuda, T and Yabuki, N (2020) Automatic Generation of Horizontal Building Mask Images by Using a 3D Model with Aerial Photographs for Deep Learning , Proceedings of eCAADe 2020, p. 271-278

	Iliadis, N. (2002) Learning Technology Through the Internet , Kastaniotis Publisher,Athens

	Illeris, K (2007) How we learn: learning and non-learning in school and beyond , Routledge, London ; New York

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