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 Li, Y., Yabuki, N., Fukuda, T., & Zhang, J. (2020) Find in CUMINCAD A big data evaluation of urban street walkability using deep learning and environmental sensors-a case study around Osaka University Suita campus , Proceedings of the 38th eCAADe Conference, TU Berlin, Berlin, Germany, 319-328

67%; open Liu, Ping & Dou, Qi & Wang, Qiong & Heng, Pheng-Ann. (2020) Find in CUMINCAD An Encoder-Decoder Neural Network With 3D Squeeze-and-Excitation and Deep Supervision for Brain Tumor Segmentation , IEEE Access, 8, 34029-34037. https://ieeexplore.ieee.org/document/8998244

67%; open Liu, Y., Colburn, A., & Inanici, M. (2020) Find in CUMINCAD Deep neural network approach for annual luminance simulations , Journal of Building Performance Simulation, 13(5), 532-554

67%; open McIntosh DL (2020) Find in CUMINCAD Utilization of LiDAR technology to assess vertical clearances of civil infrastructure. Masters Theses and Specialist Projects , Bowling Green, KY: Western Kentucky University, 2020; Paper 3471

67%; open Michael, C. J., Scheuerman, J., Acklin, D. (2020) Find in CUMINCAD On Interactive Machine Learning and the Potential of Cognitive Feedback , Deep Models and Artificial Intelligence for Defense Applications, Nov 11-22. Available at: https://doi.org/1.4855/arXiv.23.1365

67%; open Nahmias, David O., Eugene F. Civillico, and Kimberly L. Kontson (2020) Find in CUMINCAD Deep learning and feature based medication classifications from EEG in a large clinical data set , Scientifc Reports 10 (1): 1–11

67%; open Newton DW (2020) Find in CUMINCAD Anxious landscapes: correlating the built environment with mental health through deep learning , Proceedings of the 40th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA): Distributed Proximities, Virtual Conference, October 24-30, 2020. B Slocum, V Ago and A Marcus (eds). DE: ACADIA, 2020. p. 130–139.

67%; open Noyman, A. & Larson, K. (2020) Find in CUMINCAD A deep image of the city: generative urban-design visualization , Proceedings of the 11th Annual Symposium on Simulation for Architecture and Urban Design, pp. 1-8

67%; open Noyman, A. and Larson, K. (2020) Find in CUMINCAD A deep image of the city: Generative urban-design visualization , Proceedings of the 11th annual symposium on simulation for architecture and urban design, pp. 1-8

67%; open Patarlageanu, S. R., Negrei, C., Dinu, M., & Chiocaru, R. (2020) Find in CUMINCAD Reducing the Carbon Footprint of the Bucharest University of Economic Studies through Green Facades in an Economically Efficient Manner , Sustainability, 12(9), 3779

67%; open Pedro V. & Ramesh K. (2020) Find in CUMINCAD An academy of spatial agents generating spatial configurations with deep reinforcement learning , Proceedings of eCAADe 2020

67%; open Pedro Veloso, and Ramesh Krishnamurti (2020) Find in CUMINCAD An Academy of Spatial Agents-Generating spatial configurations with deep reinforcement learning , Proceedings of the 38nd eCAADe Conference. Berlin: eCAADe. 191–200

67%; open Pierdicca, R., Paolanti, M., Matrone, F., Martini, M., Morbidoni, C., Malinverni, E. S., Frontoni, E., & Lingua, A. M. (2020) Find in CUMINCAD Point Cloud Semantic Segmentation Using a Deep Learning for Cultural Heritage , Remote Sensing, 12(6), 15. Available at: https://doi.org/1.339/rs12615

67%; open Rhee J and Veloso P (2021) Find in CUMINCAD Generative Design of Urban Fabrics using Deep Learning , PROJECTIONS - Proceedings of the 26th CAADRIA Conference, A Globa, J van Ameijde, A Fingrut, et al. (eds), 2. Thailand: CAADRIA, 2020. pp. 679–688. DOI: 10.52842/conf.caadria.2020.2.679.

67%; open Rodríguez, J. de M., Villafane, M. E., Piškorec, L. & Caparrini, F. S. (2020) Find in CUMINCAD Generation of geometric interpolations of building types with deep variational autoencoders , Design Science, 6. https://doi.org/10.1017/dsj.2020.31

67%; open Salge, C, Green, MC, Canaan, R, Skwarski, F, Fritsch, R, Brightmoore, A, Ye, S, Cao, C and Togelius, J (2020) Find in CUMINCAD The AI Settlement Generation Challenge in Minecraft , KI - Künstliche Intelligenz, 34(1), pp. 19-31

67%; open Schröpfer, T. (2020) Find in CUMINCAD Dense+Green Cities: Architecture As Urban Ecosystem , Basel: Birkhäuser

67%; open Scott A. and Hislop M. (2020) Find in CUMINCAD PERFECT expert paper 3, what does good green infrastructure policy look like? developing a policy assessment tool to assess plans, policies and programmes , Derived from: https://projects2014-2020.interregeurope.eu/fileadmin/user_upload/tx_tevprojects/library/file_1592825117.pdf

67%; open Shafique, M., Xue, X., & Luo, X. (2020) Find in CUMINCAD An overview of carbon sequestration of green roofs in urban areas , Urban Forestry & Urban Greening, 47_, 126515

67%; open Shreyas M., Meenal S.; (2020) Find in CUMINCAD Green Charcoal: Developing Biodegradable Construction Materials for a Circular Economy , book: Examining the Environmental Impacts of Materials and Buildings. Doi: 10.4018/978-1-7998-2426-8.ch005

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