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	feae
in paper	Oh, Sooyeon, Tanaka, Katsumi and Sasada, Tsuyoshi (2005) 3D Digital Archive Experience for Historical Architectures
authors	R.D.Kalnins, L.Markosian, B.J.Meier, M.A,Kowalski, J.C.Lee, P.L.Davidson, M.Webb, J.F.Hughes, A.Finkelstein, WYSIWYG NPR
year	2002
title	Drawing strokes directly on 3d models
source	SIGGRAPH2002, pp.755-762
last changed	2005/08/25 07:57

_id	286e
in paper	François, Guéna; Lecourtois, Caroline (2009) Aided Architectural Sketching with Markov Models: Dromies and Recognition
authors	Rabiner, L.R. and Juang B.H.
year	1986
title	An introduction to Hidden Markov Models
source	IEEE ASSP Mag., pp 4-16
last changed	2009/11/06 18:38

_id	b12d
in paper	de Almeida, Clarissa Ribeiro Pereira; Pratschke, Anja; La Rocca, Renata (2005) In-between and Through:Architecture and Complexity
authors	Raccoon, L.B.S.
year	1995
title	The Chaos Model and the Chaos Life Cycle
source	ACM Sigsoft Software Engineering Notes, January 1995.Vol.20, n.1, 56–57
last changed	2006/10/29 23:00

_id	3fb8
in paper	Ribeiro, Clarissa; Prado Gilbertto (2010) Performative Consciousness Dialogues
authors	Raccoon, L.B.S.
year	1995
title	The Chaos Model and the Chaos Life Cycle
source	ACM SIGSOFT, Software Engineering Notes, 20 (1), 55- 66
last changed	2010/12/17 21:53

_id	ijac202321204ii3
in paper	Mayrhofer-Hufnagl, Ingrid; Ennemoser, Benjamin (2023) Advancing justice in a city’s complex systems using designs enabled by space
authors	Radford A, Metz L and Chintala S
year	2015
title	Unsupervised representation learning with deep convolutional generative adversarial networks,
source	http://arxiv.org/pdf/1511.06434v2 (2015).
last changed	2024/04/17 15:32

_id	ijac202321208ll2
in paper	Ennemoser, Benjamin; Mayrhofer-Hufnagl, Ingrid (2023) Design across multi-scale datasets by developing a novel approach to 3DGANs
authors	Radford A, Metz L and Chintala S
year	2016
title	Unsupervised representation learning with deep convolutional generative adversarial networks, 2016
source	ArXiv:1511.06434 [Cs] http://arxiv.org/abs/1511.06434
last changed	2024/04/17 15:32

_id	e134
in paper	Kalisperis, Loukas N. (1994) 3D Visualization in Design Education
authors	Radford A. and Stevens, G.
year	1988
title	Role Play in Education: A Case Study from Architectural Computing
source	Journal of Architecture Education, 42(l): 18-23
last changed	2002/08/02 15:19

_id	ecaadesigradi2019_135vv
in paper	Newton, David (2019) Deep Generative Learning for the Generation and Analysis of Architectural Plans with Small Datasets
authors	Radford, A, Metz, L and Chintala, S
year	2015
title	Unsupervised representation learning with deep convolutional generative adversarial networks
source	arXiv preprint arXiv:1511.06434, 1, pp. 1-5
last changed	2019/08/26 23:25

_id	ecaade2020_018tt
in paper	Sato, Gen, Ishizawa, Tsukasa, Iseda, Hajime and Kitahara, Hideo (2020) Automatic Generation of the Schematic Mechanical System Drawing by Generative Adversarial Network
authors	Radford, A, Metz, L and Chintala, S
year	2016
title	Unsupervised representation learning with deep convolutional generative adversarial networks.
source	Conference on Learning Representations (ICLR)
last changed	2020/09/09 13:41

_id	ecaadesigradi2019_514aa
in paper	de Miguel, Jaime, Villafa?e, Maria Eugenia, Piškorec, Luka and Sancho-Caparrini, Fernando (2019) Deep Form Finding - Using Variational Autoencoders for deep form finding of structural typologies
authors	Radford, A, Metz, L and Chintala, S
year	2016
title	Unsupervised representation learning with deep convolutional generative adversarial networks
source	arXiv preprint, arXiv:1511.06434
last changed	2019/08/26 22:40

_id	ecaade2021_290uu2
in paper	Nicholas, Paul, Chen, Yu, Borpujari, Nihit, Bartov, Nitsan and Refsgaard, Andreas (2021) A Chained Machine Learning Approach to Motivate Retro-Cladding of Residential Buildings
authors	Radford, A., Metz, L. and Chintala, S.
year	2016
title	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
source	ICLR
last changed	2021/08/09 14:31

_id	caadria2024_325r2
in paper	Kim, Dongyun and Kim, Hanjun (2024) Territorial Sabotage: From Tracing Seoul’s Possibilities to Recompositing Its Urban Identity
authors	Radford, A., Metz, L., & Chintala, S.
year	2016
title	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
source	ArXiv.org. https://arxiv.org/abs/1511.06434v2
last changed	2024/06/05 13:46

_id	ecaade2017_265v
in paper	Motalebi, Nasim and Duarte, José Pinto (2017) A Shape Grammar of Emotional Postures - An approach towards encoding the analogue qualities of bodily expressions of emotions
authors	Radford, L
year	2003
title	Gestures, speech, and the sprouting of signs: A semiotic-cultural approach to students' types of generalization
source	Mathematical thinking and learning, 5(1), pp. 37-70
last changed	2017/09/26 14:24

_id	sigradi2020_676ww
in paper	Farias, Hélio Takashi Maciel de; Brasil, Amíria Bezerra; Barbosa, Fabrício Lira (2020) Visualizing under pressure: parametric modeling of urban morphology as an agile and transparent tool for participatory planning in Brazil
authors	Radinsky, J., Milz, D., Zellner, M., Pudlock, K., Witek, C., Hoch, C., & Lyons, L.
year	2017
title	How planners and stakeholders learn with visualization tools: using learning sciences methods to examine planning processes
source	Journal of Environmental Planning and Management, 60(7), 1296–1323
last changed	2021/08/27 16:14

_id	ijac201715104y
in paper	Matalucci, Berardo; Kenton Phillips, Alicia A Walf, Anna Dyson and Joshua Draper (2017) An experimental design framework for the personalization of indoor microclimates through feedback loops between responsive thermal systems and occupant biometrics
authors	Radley JJ, Kabbaj M, Jacobson L, et al.
year	2011
title	Stress risk factors and stress-related pathology: neuroplasticity, epigenetics and endophenotypes
source	Stress 2011; 14: 481–497
last changed	2017/12/11 13:41

_id	ecaade2022_250qq
in paper	Garcia del Castillo y Lopez, Jose L. (2022) The Digital Touch - Towards novel modeling frameworks for robotically-enhanced marble sculpting
authors	Rael, R., San Fratello, V., Curth, A. and Arja, L.
year	2020
title	Casa Covida
source	ACADIA Projects 2020, pp. 214-219
last changed	2022/09/09 10:51

_id	ijac202220205bb3
in paper	Charitonidou, Marianna (2022) Urban scale digital twins in data-driven society: Challenging digital universalism in urban planning decision-making
authors	Raes L, Michiels P, Adolphi T, et al
year	2021
title	DUET: a framework for building secure and trusted digital twins of smart cities
source	IEEE Internet Comput 2021; PP(99): 1
last changed	2024/04/17 15:14

_id	7248
in paper	Asanowicz, Aleksander (2008) How to Find an Idea? - Computer Aided Creativity
authors	Raggatt, H.
year	1993
title	Operations and Strategies for the Fringe
source	L. van Schaik (ed. ), Fin de siècle and the twenty-first century architectures of Melbourne, RMIT, Melbourne
last changed	2009/04/25 10:54

_id	sigradi2021_114ii2
in paper	Cesar Rodrigues, Ricardo, Kenzo Imagawa, Marcelo, Rubio Koga, Renan and Bertola Duarte, Rovenir (2021) Big Data vs Smart Data on the Generation of Floor Plans with Deep Learning
authors	Rahbar, M., Mahdavinejad, M., Bemanian, M., Davaie Markazi, A. H., & Hovestadt, L.
year	2019
title	Generating Synthetic Space Allocation Probability Layouts Based on Trained Conditional-GANs
source	Applied Artificial Intelligence, 33(8), 689–705. https://doi.org/10.1080/08839514.2019.1592919
last changed	2024/03/08 14:26

_id	ecaade2017_146hh
in paper	Zavoleas, Yannis and Haeusler, M. Hank (2017) Extended modelling - Dynamic approaches applied to design reef habitats at Sydney Harbour
authors	Rahim, A
year	2009
title	Uniformity and variability in architectural practice
source	Spuybroek, L (eds), The architecture of variation, Thames and Hudson, London, pp. 40-47
last changed	2017/09/26 14:13

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