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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 del Campo M, Carlson A and Manninger S (2020) Find in CUMINCAD 3D graph convolutional neural networks in architecture design , Distributed proximities proceedings of the ACADIA conference 2020, 24-30 October, 2020, pp. 688–696.
40%; open Del Campo, M., Carlson, A., and Manninger, S. (2020) Find in CUMINCAD 3D Graph Convolutional Neural Networks in Architecture Design , ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020
40%; open Del Campo, M., Manninger, S. & Carlson, A. (2020) Find in CUMINCAD 3D Graph Convolutional Neural Networks in Architecture Design , 35th International Conference on The Association for Computer Aided Design in Architecture: Distributed Proximities, ACADIA 22 (pp.688-696).
40%; open Dong, Hao, Guang Yang, Fangde Liu, Yuanhan Mo, and Yike Guo (2017) Find in CUMINCAD Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks , Annual Conference on Medical Image Understanding and Analysis, 506–517. Edinburgh, UK
40%; open Dosovitskiy, A., & Brox, T. (2016) Find in CUMINCAD Inverting visual representations with convolutional networks , Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016-December. https://doi.org/10.1109/CVPR.2016.522
40%; open Duvenaud D., Maclaurin D., Aguilera-Iparraguirre J. et al. (2015) Find in CUMINCAD Convolutional networks on graphs for learning molecular fingerprints , Proceedings of the 28th international conference on neural information processing systems (NIPS), Montreal, QC, Canada, 7–12 December 2015, vol. 2
40%; open Eisenstadt V, Langenhan C and Althoff KD (2019) Find in CUMINCAD Generation of floor plan variations with convolutional neural networks and case-based reasoning-An approach for transformative adaptation of room configurations within a framework for support of early conceptual design phases , Proc 37th eCAADe 23rd SIGraDi Conference December 1, 2019; 2: 79–84.
40%; open Ganguli S, Dunnmon J and Hau D (2019) Find in CUMINCAD Predicting food security outcomes using convolutional neural networks (CNNs) for satellite tasking, , https://arxiv.org/abs/1902.05433 (2019).
40%; open Gatys, GLA, Ecker, EAS and Bethge, BM (2016) Find in CUMINCAD Image style transfer using convolutional neural networks. , Proceedings of the IEEE conference on computer vision andpattern recognition
40%; open Gatys, L. A (2016) Find in CUMINCAD Image style transfer using convolutional neural networks , Proceedings of the IEEE conference on computer vision and pattern recognition
40%; open Gatys, L., A. Ecker, and M. Bethge. (2016) Find in CUMINCAD Image Style Transfer Using Convolutional Neural Networks , 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/ cvpr.2016.265
40%; open Gatys, L.A., Ecker, A.S., Bethge, M. (2016) Find in CUMINCAD Image Style Transfer Using Convolutional Neural Networks , 2016 IEEE Conference on Computer Vision and Pattern Recognition (cvpr), 2016, Pp 2414-2423, Available at: https://doi.org/1.119/CVPR.216.265.
40%; open Gatys, LA and Ecker, AS (2016) Find in CUMINCAD Image Style Transfer Using Convolutional Neural Networks , Computer Vision & Pattern Recognition. IEEE
40%; open Gatys, Leon A., Alexander S. Ecker, and Matthias Bethge (2016) Find in CUMINCAD Image Style Transfer Using Convolutional Neural Networks , 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2414–23. Las Vegas, NV: CVPR. doi:10.1109/CVPR.2016.265
40%; open Gatys, Leon A., Alexander S. Ecker, and Matthias Bethge (2016) Find in CUMINCAD Image Style Transfer Using Convolutional Neural Networks , 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2414–23. Las Vegas, NV: CVPR. doi:10.1109/CVPR.2016.265
40%; open Ghorbanzadeh, O., Blaschke, T., Gholamnia, K., Meena, S., Tiede, D., & Aryal, J. (2019) Find in CUMINCAD Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection , Remote sensing (Basel, Switzerland), 2019-01, Vol.11 (2), p.196, Article 196
40%; open Guo X, Li W and Iorio F. (2016) Find in CUMINCAD Convolutional neural networks for steady flow approximation , Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining (KDD ’16), San Francisco, CA, pp. 481–490. New York: ACM, http://doi.acm.org/10.1145/2939672.2939738
40%; open Guo, X, Li, W and Iorio, F (2016) Find in CUMINCAD Convolutional neural networks for steady flow approximation , Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 481-490
40%; open Guo, X. & Li, W. (2016) Find in CUMINCAD Convolutional Neural Networks for Steady Flow Approximation , KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 481-490). The annual ACM SIGKDD conference
40%; open He, K., Zhang, X., Ren, S. & Sun, J. (2014) Find in CUMINCAD Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition. In Computer Vision – ECCV 2014. Lecture Notes in Computer Science , vol. 8691. Springer, Cham. https://doi.org/10.1007/978-3-319-10578-9_23

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