Cumincad : CUMINCAD References : Search Results

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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_id	acadia22_742v3
in paper	Leach, Neil (2022) What is Creativity?
authors	Makoto Sei Watanabe
year	2017
title	AI Tect: Can AI Make Designs?
source	Computational Design. Shanghai: Tongji University Press. 68–75
last changed	2024/04/17 15:46

_id	acadia20_698ii2
in paper	Kimm, Geoff; Burry, Mark (2020) Steering into the Skid
authors	Watanabe, Makoto
year	2017
title	AI Tect: Can AI Make Designs?
source	Computational Design, edited N. Leach and P. Yuan, 69–75. Shanghai: Tongji University Press Company Limited
last changed	2021/10/19 09:54

_id	acadia19_298vv
in paper	Leach, Neil (2019) Do Robots Dream of Digital Sleep?
authors	Watanabe, Makoto Sei.
year	2017
title	Can AI Make Designs?
source	Leach, Neil, Yuan; Philip (eds.), Computational Design
last changed	2019/12/18 09:08

_id	acadia23_v2_572ee3
in paper	Kosavinta, Satakhun; Kunapinun, Alisa (2023) CycleGAN Implementation for Creating Modern Thai Houses
authors	Anand Rajagopal, Christina Tetrick, Joshua Lannen, and Josh Kanner
year	2017
title	The Rise of AI and Machine Learning in Construction
source	Autodesk Research
last changed	2025/01/21 18:33

_id	ascaad2021_017ii
in paper	Abouhadid, Mariam (2021) Affective Computing in Space Design: A Review of Literature of Emotional Comfort Tools and Measurements
authors	Banaei M. Et Al.
year	2017
title	Application of AI methods in the clustering of architecture interior forms
source	Frontiers of Architectural Research
last changed	2021/07/16 10:08

_id	ecaade2024_78mm
in paper	Hermund, Anders; Oxvig, Henrik; Bang, Jacob Sebastian (2024) Embracing the Creative Nexus: Integrating artificial intelligence, philosophy, and artistic discourse in architectural education
authors	Conn, A.
year	2017
title	Preparing for the Biggest Change in Human History
source	The Future of Life Institute (FLI). Available at: https://futureoflife.org/ai/importance-principle/
last changed	2024/08/28 15:21

_id	ecaade2018_204u
in paper	de Oliveira, Maria Jo?o, Moreira Rato, Vasco and Leit?o, Carla (2018) KINE[SIS]TEM'17 - A methodological process for a Nature-Based Design
authors	Dollens, D. L and Estévez, A. T.
year	2017
title	Metabolic Architecture: Genetics, Digital Morphology, Turing, & AI
source	Proceedings Kine[SIS]tem From Nature to Architectural Matter International Conference, Lisbon, Portugal, pp. 248-256
last changed	2018/07/24 12:39

_id	ecaade2017_230rr
in paper	Simeone, Davide, Cursi, Stefano and Coraglia, Ugo Maria (2017) Modelling Buildings and their Use as Systems of Agents
authors	Gerber, DJ, Pantazis, E and Wang, AI
year	2017
title	A multi-agent approach for performance based architecture: Design exploring geometry, user, and environmental agencies in façades
source	Automation in Construction, 76, pp. 45-58
last changed	2017/09/26 14:21

_id	ijac201816401p
in paper	Doyle, Shelby and Nick Senske (2018) Digital provenance and material metadata: Attribution and co-authorship in the age of artificial intelligence
authors	Kaminski M.
year	2017
title	Authorship, disrupted: AI authors in copyright and First Amendment Law
source	UC Davis Law Rev; 51: 17–26
last changed	2019/08/13 14:10

_id	ijac202220308aa3
in paper	Rodrigues, Ricardo C; Rovenir B Duarte (2022) Generating floor plans with deep learning: A cross-validation assessment over different dataset sizes
authors	Larrain TV, Valencia A and Yuan PF
year	2017
title	Spatial findings on Chilean architecture StyleGAN AI graphics
source	Proceedings of the 26th International Conference ofthe Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong: Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), 2021, pp 251–260.
last changed	2024/04/17 15:22

_id	caadria2022_277ww2
in paper	Akbar, Zuardin, Wood, Dylan, Kiesewetter, Laura, Menges, Achim and Wortmann, Thomas (2022) A Data-Driven Workflow for Modelling Self-Shaping Wood Bilayer, Utilizing Natural Material Variations with Machine Vision and Machine Learning
authors	Lundberg, S. M., Erion, G., Chen, H., DeGrave, A., Prutkin, J. M., Nair, B., Katz, R., Himmelfarb, J., Bansal, N. & Lee, S.-I.
year	2019
title	Explainable AI for Trees: From Local Explanations to Global Understanding
source	ArXiv:1905.04610 [Cs, Stat]. Retrieved January 10, 2022, from http://arxiv.org/abs/1905.04610Menges, A., & Reichert, S. (2012). Material Capacity: Embedded Responsiveness. Architectural Design, 82(2), 52–59. https://doi.org/10.1002/ad.1379Olsson, A., & Oscarsson, J. (2017). Strength grading on the basis of high resolution laser scanning and dynamic excitation: A full scale investigation of performance. European Journal of Wood and Wood Products, 75(1), 17–31. https://doi.org/10.1007/s00107-016-1102-6Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, É. (2011). Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, 12(85), 2825–2830
last changed	2022/06/16 10:53

_id	acadia20_160gg2
in paper	Sun, Yunjuan; Jiang, Lei; Zheng, Hao (2020) A Machine Learning Method of Predicting Behavior Vitality Using Open Source Data
authors	Mao, H., Y. Hu, B. Kar, S. Gao, and G. McKenzie
year	2017
title	GeoAI 2017 Workshop Report: The 1st ACM Sigspatial International Workshop on GeoAI: AI and Deep Learning for Geographic Knowledge Discovery: Redondo Beach, CA, USA—November 7, 2016
source	SIGSPATIAL Special 9 (3): 25
last changed	2021/10/19 09:47

_id	caadria2024_148y4
in paper	Kimm, Geoff, White, Marcus and Burry, Mark (2024) Adapting the Software Design Pattern Model for AI-Enabled Design Computing
authors	Ng, A.
year	2017
title	AI is the new electricity
source	AI Frontiers Conference, Santa Clara, Calif, 3 Nov. Available at: www.youtube.com/watch?v=JsGPh-HOqjY (Accessed: 3 Sept. 2023)
last changed	2024/06/05 13:42

_id	caadria2024_148t4
in paper	Kimm, Geoff, White, Marcus and Burry, Mark (2024) Adapting the Software Design Pattern Model for AI-Enabled Design Computing
authors	Steenson, M. W.
year	2017
title	Christopher Alexander: Patterns, Order, and Software
source	AI: How Designers and Architects Created the Digital Landscape (pp. 21-76). MIT Press
last changed	2024/06/05 13:42

_id	acadia17_598m
in paper	()
authors	Turner, Rebecca
year	2017
title	Inside Robot Dreams: What Google’s DeepDream Bot Thinks About
source	World of Lucid Dreaming. Accessed May 19, 2017. http://www.world-of-lucid-dreaming.com/inside-robot-dreams-what-the-google-ai-bots-think-about.html
last changed	2017/11/21 10:04

_id	acadia17_590m
in paper	Steinfeld, Kyle (2017) Dreams May Come
authors	Turner, Rebecca
year	2017
title	Inside Robot Dreams: What Google’s DeepDream Bot Thinks About
source	World of Lucid Dreaming. Accessed May 19, 2017. http://www.world-of-lucid-dreaming.com/inside-robot-dreams-what-the-google-ai-bots-think-about.html
last changed	2017/12/01 12:14

_id	sigradi2022_54uu2
in paper	Balci, Ozan; Alaçam, Sema (2022) Zone-sensitive RIZOBots in Action: Examining the Behavior of Mobile Robots In a Heterogeneous Environment
authors	Valentini, G., Ferrante, E., & Dorigo, M.
year	2017
title	The best-of-n problem in robot swarms: Formalization, state of the art, and novel perspectives
source	Frontiers in Robotics and AI, 4, 9
last changed	2023/05/17 08:20

_id	ecaade2020_227bb
in paper	Bielski, Jessica, Langenhan, Christoph, Weyand, Babara, Neuber, Markus, Eisenstadt, Viktor and Althoff, Klaus-Dieter (2020) Topological Queries and Analysis of School Buildings Based on Building Information Modeling (BIM) Using Parametric Design Tools and Visual Programming to Develop New Building Typologies
authors	Arora, H, Langenhan, C, Petzold, F, Eisenstadt, V and Althoff, K-D
year	2020
title	Autocomplete designs by suggesting best practice design solutions in digital semantic building models (BIM) by combining AI approaches of case-based design and deep learning
source	Proceedings of ECPPM 2020, Moscow (accepted)
last changed	2020/09/10 09:47

_id	ijac202321205w4
in paper	Zhuang, Xinwei; Ju, Yi; Yang, Allen; Caldas, Luisa (2023) Synthesis and generation for 3D architecture volume with generative modeling
authors	Del Campo M and Leach N
year	2022
title	Can machines Hallucinate architecture? AI as design method
source	Architectural Design. 2022;92(3):6-13.
last changed	2024/04/17 15:32

_id	eaeb
in paper	Ceccato, C., Simondetti, SA. and Burry, M.C. (2000) Mass-Customization in Design Using Evolutionary and Parametric Methods
authors	Duarte, J. and Simondetti, A.
year	1997
title	Shape Grammars and Rapid Prototyping: Computer Generation and Fabrication of Designs
source	Heinisuo, M., ed., Proceedings of the 4th Workshop of the European Group for Structural Applications of Artificial Intelligence (EG-SEA-AI) (Lahti, Finland: 1997)
last changed	2002/08/13 19:56

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