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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	He, X., Grassi, G. & Paoletti, I. (2021) Geometric Deep Learning: Prediction of Shape-Shifting Textiles , 12th Annual Symposium on Simulation for Architecture and Urban Design (SimAUD): Human+, SimAUD 2021. The Symposium on Simulation for Architecture and Urban Design (SimAUD)

	He, Y., Liu, X. H., Mei, Y., Schnabel, M. A., Zhang, H, L., Zhao, F. Y. & Zheng, W. (2021) Hybrid framework for rapid evaluation of wind environment around buildings through parametric design, CFD simulation, image processing and machine learning , Sustainable Cities and Society, 73, Article 103092. https://www.sciencedirect.com/science/article/abs/pii/S2210670721003759

	He, Z, Liu, H, Wang, Y and Hu, J (2017) Generative Adversarial Networks-Based Semi-Supervised Learning for Hyperspectral Image Classification , Remote Sensing, 9(10), p. 1042

	Heather, M.G., Fernando, S., James, S., Josephine, F.W. (2002) Do landmarks help or hinder women in route learning? , Perceptual and Motor Skills 95, 713–718

	Heaven, D (2019) Why Deep-Learning AIs Are so Easy to Fool , Nature, 574, pp. 163-166

	Hebron, P (2016) Machine Learning for Designers , O'Reilly Media, Inc.

	Hedberg, C. J. and Brown, C., et al. (1997) Interactive multimedia and Web-based learning: similarities and differences , Web-based instruction. B. H. Khan. Educational Technology Publications, Englewood Cliffs, New Jersey

	Hedberg, C.J., Brown, C. and Arrighi, M. (1997) Interactive multimedia and Web-based learning: similarities and differences , B. H. Khan (Ed.), Web-based instruction, Educational Technology Publications, Englewood Cliffs, New Jersey

	Hein, G. E. (1998) Learning in the Museum , Routledge, London

	Helbich, M., Yao, Y., Liu, Y., Zhang, J., Liu, P., & Wang, R. (2019) Using deep learning to examine street view green and blue spaces and their associations with geriatric depression in Beijing, China , Environment International, 126, 107-117

	Henderson, P, Bachman, R, Precup, J and Meger, D (2018) Deep Reinforcement Learning that Matters , The Thirty-Second AAAI Conference on Artificial Intelligence(AAAI-18)

	Hendrycks, D., Kimin, L., and Mantas M. (2019) Using Pre-Training Can Improve Model Robustness and Uncertainty , 36th International Conference on Machine Learning, ICML 2019, 4815–26

	Herr, CM, Lombardi, D and Galobardes, I (2018) Parametric Design of Sculptural Fibre Reinforced Concrete Facade Components , Learning, Adapting and Prototyping: Proceedings of the 23rd CAADRIA Conference, Tsinghua University, Beijing, China, pp. 319-328

	Herzen, J., L€ssig, F., Piazzetta, S. G., Neuer, T., Tafti, L., Raille, G., ... & Grosch, G. (2022) Darts: User-friendly Modern Machine Learning for Time Series , Journal of Machine Learning Research,23(124), 1-6. Available at: https://doi.org/1.4855/arXiv.211.3224

	Heuillet, A., Couthouis, F. and Díaz-Rodríguez, N. (2020) Explainability in Deep Reinforcement Learning , arXiv:2008.06693 [cs] [Preprint]. Available at: http://arxiv.org/abs/2008.06693 (Accessed: 15 February 2022)

	Hewer, S. and Mogey, N. (Eds.) (1997) Case Studies, Implementing Learning Technology , Learning Technology Dissemination Initiative, Edinburgh

	Heylighen, A. and Neuckermans, H. (1999) Learning from Experience: Promises, Problems and Side-effects of CBD in Architecture, Architectural Computing from Turing to 2000 , [eCAADe Conference Proceedings] Liverpool (UK) 15-17 September 1999, pp. 567-575

	Heylighen, A., and H. Neuckermans (2003) Learning from Experience? Promises, Problems and Side-effects of Case-Based Reasoning in Architectural Design , International Journal of Architectural Computing 1(1): 60-70

	Heylighen, A., and Neuckermans, H. (2000) DYNAMO: Dynamic Architectural Memory On-line , Educational Technology and Society 3(2):86-95. Palmerston North: International Forum of Educational Technology & Society & IEEE Learning Technology Task Force

	Heylighen, Ann, and Herman Neuckermans (2003) Learning from Experience? Promises, Problems and Side-effects of Case-Based Reasoning in Architectural Design , International Journal of Architectural Computing 1(1): 60-70

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