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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33%; open Luh, W. M., & Guo, J. H. (2001) Find in CUMINCAD Using Johnson's transformation and robust estimators with heteroscedastic test statistics: An examination of the effects of non-normality and heterogeneity in the non-orthogonal two-way ANOVA design , British Journal of Mathematical and Statistical Psychology, 54(1), 79-94

33%; open Lui, H. F. S. & Wolf, W. R. (2019) Find in CUMINCAD Construction of reduced-order models for fluid flows using deep feedforward neural networks , arXiv Physics. Retrieved September 7, 2021, from https://www.cambridge.org/core/journals/journal-of-fluid-mechanics/article/abs/construction-of-reducedorder-models-for-fluid-flows-using-deep-feedforward-neural-networks/ECEC52E32AEBBEA049CF26D6C79EE394

33%; open LUI, H.J. and JI, G.H. (2009) Find in CUMINCAD Automatic Planning of Residential Quarter Under Isolation Condition Based on Multi-agent Simulation , Architectural Journal, 1, pp. 12-16

33%; open Lundberg, S. M., Erion, G., Chen, H., DeGrave, A., Prutkin, J. M., Nair, B., Katz, R., Himmelfarb, J., Bansal, N. & Lee, S.-I. (2019) Find in CUMINCAD Explainable AI for Trees: From Local Explanations to Global Understanding , ArXiv:1905.04610 [Cs, Stat]. Retrieved January 10, 2022, from http://arxiv.org/abs/1905.04610Menges, A., & Reichert, S. (2012). Material Capacity: Embedded Responsiveness. Architectural Design, 82(2), 52–59. https://doi.org/10.1002/ad.1379Olsson, A., & Oscarsson, J. (2017). Strength grading on the basis of high resolution laser scanning and dynamic excitation: A full scale investigation of performance. European Journal of Wood and Wood Products, 75(1), 17–31. https://doi.org/10.1007/s00107-016-1102-6Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, É. (2011). Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, 12(85), 2825–2830

33%; open Lundholm, H (1921) Find in CUMINCAD The Affective Tone of Lines: Experimental Researches , Psychological Review, 28 (1), pp 43-60

33%; open Lundsgaarde, H.P. (1987) Find in CUMINCAD Evaluating Medical Expert Systems , Social Science and Medicine, (1987): 24(10):805-819

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