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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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67%; open Barahona, B., Buck, R., Okaya, O. & Schuetz, P. (2021) Find in CUMINCAD Detection of thermal anomalies on building faCades using infrared thermography and supervised learning , Journal of Physics: Conference Series, 2042(1), 012013. https://doi.org/10.1088/1742-6596/2042/1/012013
67%; open Bendali-Braham, M., Weber, J., Forestier, G., Idoumghar, L., & Muller, P. A. (2021) Find in CUMINCAD Recent trends in crowd analysis: A review , Machine Learning with Applications, 4, 100023
67%; open Cai, C., Guo, Z., Zhang, B., Wang, X., Li, B., & Tang, P. (2021) Find in CUMINCAD Urban Morphological Feature Extraction and Multi-dimensional Similarity Analysis Based on Deep Learning Approaches , MDPI: Sustainability, 13(12), Article 12. Available at: https://doi.org/1.339/su13126859
67%; open Cai, C., Guo, Z., Zhang, B., Wang, X., Li, B., & Tang, P. (2021) Find in CUMINCAD Urban Morphological Feature Extraction and Multi-Dimensional Similarity Analysis Based on Deep Learning Approaches , Sustainability, 13(12), Article 12. https://doi.org/10.3390/su13126859
67%; open Cai, C., Guo, Z., Zhang, B., Wang, X., Li, B., & Tang, P. (2021) Find in CUMINCAD Urban Morphological Feature Extraction and Multi-dimensional Similarity Analysis Based on Deep Learning Approaches , Sustainability, 13 (12), 6859. doi: 1.339/su13126859
67%; open Calzolari, G. & Lui, W. (2021) Find in CUMINCAD Deep learning to replace, improve, or aid CFD analysis in build environment applications: A review , Building and Environment, 206, 108315. https://doi.org/10.1016/j.buildenv.2021.108315
67%; open Cao, S., & Zheng, H. (2021) Find in CUMINCAD A Poi-based Machine Learning Method for Predicting Residents Health Status , DigitalFUTURES 221, 139-147. Available at: https://doi.org/1.17/978-981-16-5983-613
67%; open Chasalow K and Levy K (2021) Find in CUMINCAD Representativeness in Statistics, Politics, and Machine Learning , Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. New York, NY, USA: ACM, pp 77–89.
67%; open Chaturvedi, V., & de Vries, W. T. (2021) Find in CUMINCAD Machine Learning Algorithms for Urban Land Use Planning: A Review , Urban Science, 5(3), Article 3. https://doi.org/10.3390/urbansci5030068
67%; open Chen, J. & Stouffs, R. (2021) Find in CUMINCAD From Exploration to Interpretation-Adopting Deep Representation Learning Models to Latent Space Interpretation of Architectural Design Alternatives , Proceedings of the 26th International Conference of the Association for Computer-Aided Architectural Design Research Asia (CAADRIA) 2021
67%; open Chen, J., & Stouffs, R. (2021) Find in CUMINCAD From Exploration to Interpretation-Adopting Deep Representation Learning Models to Latent Space Interpretation of Architectural Design Alternatives. , The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Available at: https://doi.org/1.52842/conf.caadria.221.1.131.
67%; open Cira C-I, Manso-Callejo M-A, Alcarria R, et al (2021) Find in CUMINCAD Generative learning for postprocessing semantic segmentation ´ predictions: a lightweight conditional generative adversarial network based on pix2pix to improve the extraction of road surface areas 2021 , Land; 10: 79
67%; open Clever J, Abualdenien J and Borrmann A. (2021) Find in CUMINCAD Deep learning approach for predicting pedestrian dynamics for trans- portation hubs in early design phases , 28th International Workshop on Intelligent Computing in Engineering. Berlin: Germany, pp. 1–12.
67%; open Croce V, Caroti G and De Luca L, et al (2021) Find in CUMINCAD From the semantic point cloud to heritage-building information modeling: A semiautomatic approach exploiting machine learning , Remote Sensing 2021; 13(3): 461.
67%; open Dalla Valle, A. (2021) Find in CUMINCAD Challenge of Managing the Design Team Multidisciplinarity in View of Environmental Goals. In: Change Management Towards Life Cycle AE(C) Practice , SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-69981-9_8
67%; open Danhaive, R. & Mueller, C. T. (2021) Find in CUMINCAD Design subspace learning: Structural design space exploration using performance-conditioned generative modeling , Automation in Construction, 127, 103664. doi:https://doi.org/10.1016/j.autcon.2021.103664
67%; open Danhaive, R., & Mueller, C.T. (2021) Find in CUMINCAD Design Subspace Learning: Structural Design Space Exploration Using Performance-conditioned Generative Modeling , Automation in Construction, 127, p.13664
67%; open David S. Sweetman (2021) Find in CUMINCAD Making Virtual Learning Engaging and Interactive , FASEB BioAdvances 3 (1): 11–19
67%; open Dian, Z., Xinkai Z., Yongdong, L., Chao, W., Xing, J., Xin, Z. & Xing, S. (2017) Find in CUMINCAD A performance data integrated BIM framework for building life-cycle energy efficiency and environmental optimization design , Automation in Construction, 127, 103712. https://doi.org/10.1016/j.autcon.2021.103712
67%; open Duaa, A.M., Saba, A. & Amer, A. (2021) Find in CUMINCAD Transforming Learning for Archi-tecture: Online Design Studio As New Norm for Crises Adaptation Under Covid-19 , 9th International Conference of the Arab Society for Computer Aided Architectural Design (ASCAAD) 221, (pp. 129-141), Cairo

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