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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# Author Citation Select
1. del Campo, Matias; Carlson, Alexandra; Manninger, Sandra (2020) 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. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 688-696. https://doi.org/10.52842/conf.acadia.2020.1.688
2. Brown, Lachlan, Yip, Michael, Gardner, Nicole, Haeusler, M. Hank, Khean, Nariddh, Zavoleas, Yannis and Ramos, Cristina (2020) Drawing Recognition - Integrating Machine Learning Systems into Architectural Design Workflows

Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 289-298 https://doi.org/10.52842/conf.ecaade.2020.2.289
3. Patt, Trevor Ryan (2020) Spectral Clustering for Urban Networks

D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 91-100 https://doi.org/10.52842/conf.caadria.2020.2.091
4. Zhang, Hang (2020) Text-to-Form

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. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 238-247. https://doi.org/10.52842/conf.acadia.2020.1.238
5. Alawadhi, Mohammad; Yan, Wei (2020) BIM Hyperreality

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. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 228-236. https://doi.org/10.52842/conf.acadia.2020.1.228
6. Paul Nicholas, Gabriella Rossi, Ella Williams, Michael Bennett and Tim Schork (2020) Integrating real-time multi-resolution scanning and machine learning for Conformal Robotic 3D Printing in Architecture

International Journal of Architectural Computing vol. 18 - no. 4, 371–384 https://papers.cumincad.org/cgi-bin/works/Show?ijac202018404
7. Sebestyen, Adam and Tyc, Jakub (2020) Machine Learning Methods in Energy Simulations for Architects and Designers - The implementation of supervised machine learning in the context of the computational design process

Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 613-622 https://doi.org/10.52842/conf.ecaade.2020.1.613
8. Yecheng Zhang, Qimin Zhang, Yuxuan Zhao, Yunjie Deng, Feiyang Liu, Hao Zheng (2022) Artificial Intelligence Prediction of Urban Spatial Risk Factors from an Epidemic Perspective

Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022) https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_18
9. Zhang, Hang and Blasetti, Ezio (2020) 3D Architectural Form Style Transfer through Machine Learning

D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 659-668 https://doi.org/10.52842/conf.caadria.2020.2.659
10. Zheng, Hao and Ren, Yue (2020) Machine Learning Neural Networks Construction and Analysis in Vectorized Design Drawings

D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 707-716 https://doi.org/10.52842/conf.caadria.2020.2.707
11. Wan, Zijun; Sun, Shuaibing; Meng, Fanjing; Yan, Yu (2024) How Augment Reality Support Public Participation in the Urban Design Decision-Making: A ten - year literature review

Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 455–464 https://doi.org/10.52842/conf.ecaade.2024.2.455
12. Ezzat, Mohammed (2020) A Framework for a Comprehensive Conceptualization of Urban Constructs - SpatialNet and SpatialFeaturesNet for computer-aided creative urban design

D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 111-120 https://doi.org/10.52842/conf.caadria.2020.2.111
13. Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming (2020) Spatial Assembly with Self-Play Reinforcement Learning

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. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 382-393. https://doi.org/10.52842/conf.acadia.2020.1.382
14. Jorgensen, Jens, Tamke, Martin and Poulsgaard, Kare Stokholm (2020) Occupancy-informed:Introducing a method or flexible behavioural mapping in architecture using machine vision

Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 251-258 https://doi.org/10.52842/conf.ecaade.2020.2.251
15. Alva, Pradeep, Lee, Han Jie, Lin, Zhuoli, Mehta, Palak, Chen, Jielin and Janssen, Patrick (2020) Geo-computation for District Planning - An Agile Automated Modelling Approach

D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 793-802 https://doi.org/10.52842/conf.caadria.2020.1.793
16. Bailey, Grayson, Kammler, Olaf, Weiser, Rene, Fuchkina, Ekaterina and Schneider, Sven (2022) Performing Immersive Virtual Environment User Studies with VREVAL

Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 437–446 https://doi.org/10.52842/conf.ecaade.2022.2.437
17. Chan, Yick Hin Edwin and Spaeth, A. Benjamin (2020) Architectural Visualisation with Conditional Generative Adversarial Networks (cGAN). - What machines read in architectural sketches.

Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 299-308 https://doi.org/10.52842/conf.ecaade.2020.2.299
18. del Campo, Matias; Carlson, Alexandra; Manninger, Sandra (2020) How Machines Learn to Plan

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. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 272-281. https://doi.org/10.52842/conf.acadia.2020.1.272
19. Jingyi Li and Hong Chen (2020) Optimization and Prediction of Design Variables Driven by Building Energy Performance—A Case Study of Office Building in Wuhan

Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020) https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_22
20. Kharbanda, Kritika, Papadopoulou, Iliana, Pouliou, Panagiota, Daw, Karim, Belwadi, Anirudh and Loganathan, Hariprasath (2022) LearnCarbon - A tool for machine learning prediction of global warming potential from abstract designs

Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 601–610 https://doi.org/10.52842/conf.ecaade.2022.2.601

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