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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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50%; open Khean, N, Lucas, K, Martinez, J, Doherty, B, Fabbri, A, Gardner, N and Haeusler, HH (2018) Find in CUMINCAD The Introspection of Deep Neural Networks: Towards Illuminating the Black Box , Conference: Learning, Adapting and Prototyping - 23rd International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), 2, pp. 237-246
50%; open Khean, N., Kim, L., Martinez, J., Doherty, B., Fabbri, A., Gardner, N. and Haeusler, M.H. (2018) Find in CUMINCAD The Introspection of Deep Neural Networks - Towards Illuminating the Black Box - Training Architects Machine Learning via Grasshopper Definitions , Proceedings of the 23rd International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2018, Volume 2, Beijing, pp. 237-246
50%; open Kirkley, A, Barbosa, H, Barthelemy, M and Ghoshal, G (2018) Find in CUMINCAD From the betweenness centrality in street networks to structural invariants in random planar graphs , Nature Communications, 9(1), p. 2501
50%; open Kvochick, T (2018) Find in CUMINCAD Sneaky Spatial Segmentation. Reading architectural drawings with Deep neural networks and without labeling data , Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture, Mexico City, Mexico
50%; open Kvochick, T. (2018) Find in CUMINCAD Sneaky Spatial Segmentation. Reading Architectural Drawings with Deep Neural Networks and Without Labeling Data , Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA)
50%; open Kvochick, T. (2018) Find in CUMINCAD Sneaky Spatial Segmentation. Reading architectural drawings with Deep neural networks and without labeling data. , Proceedings of ACADIA 2018, Mexico City, Mexico
50%; open Kvochick, Tyler (2018) Find in CUMINCAD Sneaky Spatial Segmentation. Reading Architectural Drawings with Deep Neural Networks and Without Labeling Data , ACADIA 2018: Recalibration: On Imprecision and Infidelity [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA)], Mexico City, Mexico, 1820 October 2018, edited by P. Anzalone, M. del Signore, and A. J. Wit, 166175. CUMINCAD.
50%; open Lee JH, Ostwald MJ and Gu N (2018) Find in CUMINCAD A justified plan graph (jpg) grammar approach to identifying spatial design patterns in an architectural style , Environ Plann B: Urban Analytics City Sci 2018; 45(1): 6789.
50%; open Liu, X., Kong, X., Liu, L., & Chiang, K. (2018) Find in CUMINCAD Treegan: Syntax-aware Sequence Generation with Generative Adversarial Networks , 218 IEEE International Conference on Data Mining (ICDM) (pp.114-1145)
50%; open Liu, Y., Colburn, A. & Mehlika, I., (2018) Find in CUMINCAD Computing Long-term Daylighting Simulations from High Dynamic Range Imagery Using Deep Neural Networks , S.l., s.n
50%; open Marshall, S, Gil, J, Kropf, K, Tomko, M and Figueiredo, L (2018) Find in CUMINCAD Street Network Studies: from Networks to Models and their Representations , Networks and Spatial Economics, 18(735), pp. 1-15
50%; open Masters, Dominic, and Carlo Luschi (2018) Find in CUMINCAD Revisiting Small Batch Training for Deep Neural Networks , ArXiv:1804.07612 [Cs, Stat], April. http://arxiv.org/abs/1804.07612
50%; open Mehaffy, M, Kryazheva, Y, Rudd, A and Salingaros, N (2018) Find in CUMINCAD A Pattern Language for Growing Regions: Places, Networks, Processes. A Collection of 80 Patterns for a New Generation of Urban Challenges , Sustasis Press
50%; open Michael Rabinovich, Tim Hoffmann, Olga Sorkine-Hornung (2018) Find in CUMINCAD Discrete geodesic nets for modeling developable surfaces , ACM Trans. Graph. 37 (2): 16:116:17
50%; open Morfidis, K. and Kostinakis, K. (2018) Find in CUMINCAD Approaches to the rapid seismic damage prediction of r/c buildings using artificial neural networks , Engineering Structures, 165, pp. 120-141
50%; open Moya-Gomez, B, Salas-Olmedo, MH, García-Palomares, JC and Gutiérrez, J (2018) Find in CUMINCAD Dynamic Accessibility using Big Data: The Role of the Changing Conditions of Network Congestion and Destination Attractiveness , Networks and Spatial Economics, 18(2), pp. 273-290
50%; open Nayak, Mishak. (2018) Find in CUMINCAD Deep Convolutional Generative Adversarial Networks (DCGANs) , Data Driven Investor. https://medium.com/ datadriveninvestor/deep-convolutional-generative-adversarial- networks-dcgans-3176238b5a3d
50%; open Newman, M. (2018) Find in CUMINCAD Networks , Second Edition, New to this Edition: ed. Oxford University Press, Oxford, New York
50%; open Noah L. Schroeder, and Ada T. Cenkci (2018) Find in CUMINCAD Spatial Contiguity and Spatial Split-Attention Effects in Multimedia Learning Environments: A Meta-Analysis , Educational Psychology Review 30 (3): 679701
50%; open Ou J, Ma Z, Peters J, et al. (2018) Find in CUMINCAD KinetiX - designing auxetic-inspired deformable material structures. , Comput Graph; 75: 7281.

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