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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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100%; open Veličković, P. et al. (2018) Find in CUMINCAD Graph attention networks , arXiv (Cornell University) https://doi.org/10.17863/cam.48429
75%; open Battaglia, PW, et al. (2018) Find in CUMINCAD Relational inductive biases, deep learning, and graph networks , arXiv preprint arXiv:1806.01261, 1806, pp. 1-40
75%; open Ma, Shuang, Jianlong Fu, Chang Wen Chen, and Tao Mei (2018) Find in CUMINCAD DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials , http://arxiv.org/abs/1802.06454
75%; open Xu, K., Hu, W., Leskovec, J., & Jegelka, S. (2018) Find in CUMINCAD How Powerful are Graph Neural Networks? https://doi , org/10.48550/ARXIV.1810.00826
75%; open Xu, K., Hu, W., Leskovec, J., & Jegelka, S. (2018) Find in CUMINCAD How Powerful are Graph Neural Networks? https://doi , org/10.48550/ARXIV.1810.00826
75%; open Zhang, M. & Chen, Y. (2018) Find in CUMINCAD Link prediction based on graph neural networks , Advances Neural Information Processing Systems, 31 (pp. 5165-5175)
75%; open Zhang, M., and Chen, Y. (2018) Find in CUMINCAD Link prediction based on graph neural networks , Advances in Neural Information Processing Systems, 31, pp. 5165-5175
75%; open Ahmed, M., & OLA, F. (2022) Find in CUMINCAD Graph attention networks , Journal of Heritage and Design, 2(7), 315-342
50%; open Audebert, N, Le Saux, B and Lef?vre, S (2018) Find in CUMINCAD Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks , ISPRS Journal of Photogrammetry and Remote Sensing, 140, pp. 20-32
50%; open Bayer, J., Bukhari, S. & Dengel, A. (2018) Find in CUMINCAD Interactive Design Support for Architecture Projects During Early Phases Based on Recurrent Neural Networks , ICPRAM 2018
50%; open Bielik, M, Koenig, R, Schneider, S and Varoudis, S (2018) Find in CUMINCAD Measuring the Impact of Street Network Configuration on the Accessibility to People and Walking Attractors , Networks and Spatial Economics, p. 18 (3)
50%; open Bielik, M. et al. (2018) Find in CUMINCAD Measuring the Impact of Street Network Configuration on the Accessibility to People and Walking Attractors, Networks and Spatial Economics, 18(3), pp , Networks and Spatial Economics, 18(3), pp. 657-676
50%; open Bielik, M., Schneider, S., Kuliga, S., Griego, D., Ojha, V., König, R., Schmitt, G. and Donath, D. (2018) Find in CUMINCAD Measuring the Impact of Street Network Configuration on the Accessibility to People and Walking Attractors , Networks and Spatial Economics, 18, p. xx
50%; open Bittner, K, Adam, F, Cui, S, Körner, M and Reinartz, P (2018) Find in CUMINCAD Building Footprint Extraction From VHR Remote Sensing Images Combined With Normalized DSMs Using Fused Fully Convolutional Networks , IEEE Journal of Selected Topics in Applied EarthObservations and Remote Sensing, 11, p. 2615-2629
50%; open Bittner, K, Adam, F, Cui, S, Körner, M and Reinartz, P (2018) Find in CUMINCAD Building Footprint Extraction From VHR Remote Sensing Images Combined With Normalized DSMs Using Fused Fully Convolutional Networks , IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, p. 2615-2629
50%; open Boeing, G. (2017) Find in CUMINCAD OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks , Computers, Environment and Urban Systems, 65, 126–139. https://doi.org/10.1016/j.compenvurbsys.2017.05.004Chestnut, J. (2018, March 28). Pedestrians first: Tools for a Walkable City. Institute for Transportation and Development Policy. Retrieved February 3, 2022, from https://www.itdp.org/publication/walkability-tool/
50%; open Caye Daudt, R., Le Saux, B., & Boulch, A. (2018) Find in CUMINCAD Fully convolutional siamese networks for change detection , 2018 25th IEEE International Conference on Image Processing (ICIP), 4063-4067. https://doi.org/10.1109/ICIP.2018.8451652
50%; open Chen, Wei, Fangzhou Guo, Dongming Han, Jacheng Pan, Xiaotao Nie, Jiazhi Xia, and Xiaolong Zhang (2018) Find in CUMINCAD Structure-Based Suggestive Exploration: A New Approach for Effective Exploration of Large Networks , IEEE Transactions on Visualization and Computer Graphics25 (1): 555–565
50%; open Chen, Y, Gao, W, Widyaningrum, E, Zheng, M and Zhou, K (2018) Find in CUMINCAD Building classification of VHR airborne stereo images using fully convolutional networks and free training samples , Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., p. 87-92
50%; open Creswell A, White T and Vincent D, et al (2018) Find in CUMINCAD Generative adversarial networks: An overview , IEEE Signal Processing Magazine 2018; 35(1): 53–65.

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