Düring S; Koenig R; Khean N; Elshani D; Galanos T; Chronis A, 2022, 'Machine Learning, Artificial Intelligence, and Urban Assemblages', in , Wiley, pp. 445 - 452, http://dx.doi.org/10.1002/9781119815075.ch32
Book Chapters | 2019
Haeusler M; Khean N; Fabbri A; Gerber D, 2019, 'Examining Potential Socio-economic Factors that Affect Machine Learning
Research in the AEC Industry', in Lee J-H(ed.), Computer-Aided Architectural Design. "Hello, Culture" 18th International Conference, CAAD Futures 2019, Daejeon, Republic of Korea, June 26–28, 2019, Selected Papers, Springer, pp. 247 - 263, http://dx.doi.org/10.1007/978-981-13-8410-3_18
Journal articles | 2020
Reinhardt D; Haeusler MH; London K; Loke L; Feng Y; De Oliveira Barata E; Firth C; Dunn K; Khean N; Fabbri A; Wozniak-O’Connor D; Masuda R, 2020, 'CoBuilt 4.0: Investigating the potential of collaborative robotics for subject matter experts', International Journal of Architectural Computing, 18, pp. 353 - 370, http://dx.doi.org/10.1177/1478077120948742
Conference Papers | 2022
Khean N; Düring S; Chro-Nis A; König R; Haeusler MH, 2022, 'AN ASSESSMENT OF TOOL INTEROPERABILITY AND ITS EFFECT ON TECHNOLOGICAL UPTAKE FOR URBAN MICROCLIMATE PREDICTION WITH DEEP LEARNING MODELS', in Proceedings of the International Conference on Computer Aided Architectural Design Research in Asia, pp. 273 - 282, http://dx.doi.org/10.52842/conf.caadria.2022.1.273
Conference Papers | 2020
Brown L; Yip M; Gardner N; Haeusler H; Khean N; Zavoleas Y; Ramos C, 2020, 'Drawing Recognition - Integrating Machine Learning Systems into Architectural Design Workflows', in eCAADe proceedings, Education and Research in Computer Aided Architectural Design in Europe (eCAADe), pp. 289 - 298, presented at Proceedings of the 38th International Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe) [Volume 2], 16 September 2020 - 17 September 2020, http://dx.doi.org/10.52842/conf.ecaade.2020.2.289
Conference Papers | 2019
NG JMY; Khean N; Madden D; Fabbri A; Gardner N; Haeusler M; Zavoleas Y, 2019, 'Optimising Image Classification: Implementation of Convolutional Neural Network Algorithms to Distinguish between Plans and Sections within the Architectural, Engineering and Construction (AED) Industry', in Haeusler M; Schnabel MA; Fukuda T(eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference, CAADRIA, Victoria University of Wellington, pp. 795 - 804, presented at CAADRIA, Victoria University of Wellington, 15 April 2019 - 18 April 2019, http://dx.doi.org/10.52842/conf.caadria.2019.2.795
Conference Papers | 2019
Reinhardt D; Haeusler H; Loke L; de Oliveira Barata E; Firth C; Khean N; London K; Feng Y; Watt R, 2019, 'CoBuilt - Towards a novel methodology for workflow capture and analysis of carpentry tasks for human-robot collaboration', in eCAADe proceedings, eCAADe, pp. 207 - 216, presented at eCAADe 2019: Architecture in the Age of the 4th Industrial Revolution, 11 September 2019 - 13 September 2019, http://dx.doi.org/10.52842/conf.ecaade.2019.3.207
Conference Papers | 2019
Reinhardt D; Haeusler MH; Loke L; Barata EDO; Firth C; Khean N; London K; Feng Y; Watt R, 2019, 'CoBuilt Towards a novel methodology for workflow capture and analysis of carpentry tasks for human-robot collaboration', in Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe, pp. 207 - 216, http://dx.doi.org/10.5151/proceedings-ecaadesigradi2019_549
Conference Papers | 2018
Khean N; Doherty B; Fabbri A; Gardner N; Haeusler M, 2018, 'The Introspection of Deep Neural Networks Towards Illuminating the Black Box: Training Architects Machine Learning via Grasshopper Definitions', in Proceedings of the 23rd International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2018, association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Tsinghua University, Beijing, pp. 237 - 246, presented at Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference, Tsinghua University, Beijing, 17 May 2018 - 19 May 2018, http://papers.cumincad.org/data/works/att/caadria2018_126.pdf
Conference Papers | 2018
Khean N; Fabbri A; Haeusler M, 2018, 'Learning Machine Learning as an Architect, How to? Presenting and evaluating a Grasshopper based platform to teach architecture students machine learning', in Kępczyńska-Walczak A; Białkowski S(ed.), computing a better tomorrow - 36th eCAADE, Lodz, Poland, pp. 95 - 102, presented at 36th eCAADe conference, Lodz, Poland, 19 September 2018 - 21 September 2018, http://papers.cumincad.org/cgi-bin/works/paper/ecaade2018_111
