Modelling the perception of visual design principles on façades through fuzzy sets: towards building an automated architectural data generation and labelling tool

Author:

Cekmis Asli1ORCID

Affiliation:

1. Department of Architecture, Istanbul Technical University, Istanbul, Turkey

Publisher

Informa UK Limited

Subject

Architecture

Reference55 articles.

1. Alymani, Abdulrahman, Wassim Jabi, and Padraig Corcoran. 2020. “Machine Learning Methods for Clustering Architectural Precedents – Classifying the Relationship Between Building and Ground.” In Anthropologic: Architecture and Fabrication in the Cognitive age – Proceedings of the 38th eCAADe Conference, edited by Liss C. Werner, and Dietmar Koering, 643–652. Berlin: TU Berlin.

2. Using Machine Learning Techniques to Predict Esthetic Features of Buildings

3. Bar-Haim, Roy, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav, and Noam Slonim. 2020. “From Arguments to Key Points: Towards Automatic Argument Summarization.” Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, 4029–4039.

4. Computational and Experimental Approaches to Visual Aesthetics

5. Bradley Steven. 2017. “Design Principles: Compositional Symmetrical and Asymmetrical Balance.” Accessed June 14 2022. https://www.smashingmagazine.com/2015/06/design-principles-compositional-balance-symmetry-asymmetry/.

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