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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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40%; open Kamnitsas, Konstantinos, Christian Ledig, Virginia FJ Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, and Ben Glocker (2017) Find in CUMINCAD Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation , Medical Image Analysis 36: 61–78
40%; open Kim P (2017) Find in CUMINCAD Matlab Deep Learning , With Machine Learning, Neural Networks and Artificial Intelligence. NY: Apress, 2017, p. 130.
40%; open Klemmt, C and Bollinger, K (2017) Find in CUMINCAD Angiogenesis as a model for the generation of load-bearing networks , International Journal of Architectural Computing, 15(1), pp. 18-37
40%; open Law, S, et al. (2017) Find in CUMINCAD An application of convolutional neural network in street image classification , GeoAI, pp. 5-9
40%; open Liapi, K, Papantoniou, A and Nousias, Chr (2017) Find in CUMINCAD Morphological exploration of curved tensegrity networks: Towards minimal surface double-layer configurations , IASS, Hamburg, Germany
40%; open Liu, M. Y., Breuel, T. and Kautz, J. (2017) Find in CUMINCAD Unsupervised image-to-image translation networks , AdvancesNeural Information Processing Systems. Neural information processing systems foundation, pp. 701-709
40%; open Matas N., Martincic-Ipšic S., Meštrovic A. (2017) Find in CUMINCAD Comparing network centrality measures as tools for identifying key concepts in complex networks: a case of wikipedia , J. Digit. Inf. Manag. 15, 203–213
40%; open Miikkulainen, Risto, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju, et al. (2017) Find in CUMINCAD Evolving Deep Neural Networks , ArXiv:1703.00548 [Cs], March. http://arxiv.org/abs/1703.00548
40%; open Natapov A, Czamanski D, Fisher-Gewirtzman D. (2017) Find in CUMINCAD Visibility and urban activity location: Small-world and scale-free properties of visuospatial networks , Submitted to Journal of Urban Affairs
40%; open Nguyen, D. T., Ofli, F., Imran, M., & Mitra, P. (2017) Find in CUMINCAD Damage assessment from social media imagery data during disasters , Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, 569-576. https://doi.org/10.1145/3110025.3110109
40%; open Okabe, A. (2017) Find in CUMINCAD Dynamic spaces with subjective depth , The public space in monsoon Asia. Kult-ur, 4(7), 151-164. https://doi.org/10.6035/Kult-ur.2017.4.7.6Oki, T., & Kizawa, S. (2021). Evaluating Visual Impressions based on Gaze Analysis and Deep Learning. A Case Study of Attractiveness Evaluation of Streets in Densely Built-up Wooden Residential Area. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 887-894), ISPRS Congress. https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-887-2021
40%; open P. Isola, J. -Y. Zhu, T. Zhou And A. A. Efros (2017) Find in CUMINCAD Image-to-image Translation with Conditional Adversarial Networks , 217 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).Available at: https://doi.org/1.119/CVPR.217.632.
40%; open Peng W, Zhang F and Nagakura T (2017) Find in CUMINCAD Machines’ perception of space: Employing 3D isovist methods and a convolutional neural network in architectural space classification , ACADIA 2017: 474–481.
40%; open Peng, W, Zhang, F and Nagakura, T (2017) Find in CUMINCAD Machines' Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification , ACADIA 2017
40%; open Peng, W, Zhang, F and Nagakura, T (2017) Find in CUMINCAD Machines' Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification , Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA), p. 474-481
40%; open Peng, W, Zhang, F and Nagakura, T (2017) Find in CUMINCAD Machines' Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification , Proceedings of ACADIA 2017
40%; open Peng, W, Zhang, F and Takehiko, N (2017) Find in CUMINCAD Machines' Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification , ACADIA // 2017 Disciplines & Disruption: Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture, pp. 474-481
40%; open Peng, W., Zhang, F. & Nagakura, T. (2017) Find in CUMINCAD Machines’ Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification , ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture], 474–481
40%; open Peng, Wenzhe, Fan Zhang, and Takehiko Nagakura (2017) Find in CUMINCAD Machines’ Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification , Disciplines & Disruption: Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture, edited by Takehiko Nagakura, Skylar Tibbits, Mariana Ibanez, and Caitlin Mueller, 474–81. Cambridge, MA: ACADIA
40%; open Peng, Wenzhe, Fan Zhang, and Takehiko Nagakura (2017) Find in CUMINCAD Machines’ Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification , ACADIA 2017: Disciplines and Disruption [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA)], Cambridge, MA, 2–4 November 2017, edited by T. Nagakura, S. Tibbits, M. Ibanez, and C. Mueller, 474–481. CUMINCAD

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