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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 Huang, Y., Zhang, F., Gao, Y., Tu, W., Duarte, F., Ratti, C., Guo, D., & Liu, Y. (2023) Find in CUMINCAD Densely Connected Convolutional Networks , Computers, Environment and Urban Systems, 106, 102043
80%; open Huang G, Liu Z, Van Der Maaten L, et al (2017) Find in CUMINCAD Densely connected convolutional networks , Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, 21-26 July 2017, 4700-4708
80%; open Huang, G, Liu, Z, van der Maaten, L and Weinberger, KQ (2017) Find in CUMINCAD Densely Connected Convolutional Networks , Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, pp. 4700-4708
80%; open Huang, G, Liu, Z, Van Der Maaten, L and Weinberger, KQ (2017) Find in CUMINCAD Densely connected convolutional networks , Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 4700-4708
60%; open Sainath, T. N., Vinyals, O., Senior, A., and Sak, H. (2015) Find in CUMINCAD Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks , 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4580-4584. https://doi.org/10.1109/ICASSP.2015.7178838
40%; open Bai, Z., & Peng, C. (2023) Find in CUMINCAD Convolutional Neural Network (CNN) Supported Urban Design to Reduce Particle Air Pollutant Concentrations , HUMAN-CENTRIC, Proceedings of the 28th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2023, Volume 1, 505-514
40%; open Carvalho, G.S. and Ponti, M.A. (2023) Find in CUMINCAD Dendrogram distance: an evaluation metric for generative networks using hierarchical clustering , arXiv preprint arXiv:2311.16894 [Preprint]
40%; open Gan, W. et al. (2023) Find in CUMINCAD UDGAN: A new urban design inspiration approach driven by using generative adversarial networks , Journal of Computational Design and Engineering, 11(1), pp. 305-324
40%; open Jiang M., Speetjens M., Rindt C. and Smeulders D. (2023) Find in CUMINCAD A data-based reduced-order model for dynamic simulation and control of district-heating networks , Applied Energy, vol. 340
40%; open Kim, M., & Park, H.-J. (2023) Find in CUMINCAD Application of artificial neural networks using sequential prediction approach in indoor airflow prediction , Journal of Building Engineering, 69, 106319. https://doi.org/10.1016/j.jobe.2023.106319
40%; open Lin, M., Yang, G., & Zhang, H. (2023) Find in CUMINCAD Change detection in remote sensing images using conditional adversarial networks , IEEE Transactions on Image Processing, 32, 57-71. https://doi.org/10.1109/TIP.2022.3226418
40%; open Pouliou, P., Horvath, A. S., and Palamas, G. (2023) Find in CUMINCAD Speculative hybrids: Investigating the generation of conceptual architectural forms through the use of 3D generative adversarial networks , International Journal of Architectural Computing, 14780771231168229
40%; open Yang, C., & Qi, G. (2023) Find in CUMINCAD An Urban Traffic Knowledge Graph-Driven Spatial-Temporal Graph Convolutional Network for Traffic Flow Prediction , 11th International Joint Conference on Knowledge Graphs, IJCKG 2022 (pp. 110-114)
40%; open Zhao, P., Fei, Y., Huang, Y., Feng, Y., Liao, W., & Lu, X. (2023) Find in CUMINCAD Design-condition-informed shear wall layout design based on graph neural networks , Advanced Engineering Informatics, 58, 102190. https://doi.org/10.1016/j.aei.2023.102190
40%; open Zhao, P., Fei, Y., Huang, Y., Feng, Y., Liao, W., & Lu, X. (2023) Find in CUMINCAD Design-condition-informed shear wall layout design based on graph neural networks , Advanced Engineering Informatics, 58, 102190, https://doi.org/10.1016/j.aei.2023.102190
40%; open Zhao, P., Liao, W., Huang, Y., & Lu, X. (2023) Find in CUMINCAD Intelligent Beam Layout Design for Frame Structure Based on Graph Neural Networks , Journal of Building Engineering, 63, 15499. Available at: https://doi.org/1.116/j.jobe.222.15499
40%; open Zhong, X., Koh, I. and Fricker, P. (2023) Find in CUMINCAD Building-GNN: Exploring a co-design framework for generating controllable 3D building prototypes by graph and recurrent neural networks , eCAADe 2023: Digital Design Reconsidered, Graz, Austria, pp. 431-440. Available at: https://doi.org/10.52842/conf.ecaade.2023.2.431
40%; open Zhong, X., Koh, I., & Fricker, P. D. P. (2023) Find in CUMINCAD Building-GNN: Exploring a co-design framework for generating controllable 3D building prototypes by graph and recurrent neural networks , Digital Design Reconsidered: Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023), 431-440. https://doi.org/10.52842/conf.ecaade.2023.2.431
40%; open Fang, S., Li, K., Shao, J., & Li, Z. (2022) Find in CUMINCAD SNUNet-CD: A densely connected siamese network for change detection of VHR images , IEEE Geoscience and Remote Sensing Letters, 19, 1-5. https://doi.org/10.1109/LGRS.2021.3056416
40%; open (2013) Find in CUMINCAD The Connected City: How Networks are Shaping the Modern Metropolis , Routledge, New York

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