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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	Abadi, Martín, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al. (2016) Tensorflow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , arXiv preprint arXiv:1603.04467

	Abadi, Martín, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado et al. (2016) TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , arXiv preprint arXiv:1603.04467

	Abadi, Martín, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado et al. (2016) TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , arXiv preprint arXiv:1603.04467

	Abbas, Moustafa, Moustafa Elhamshary, Hamada Rizk, Marwan Torki, and Moustaf Youssef (2019) WiDeep: WiFi-Based Accurate and Robust Indoor Localization System Using Deep Learning , Proceedings of IEEE International Conference on Pervasive Computing and Communications, 1–10. Kyoto, Japan

	Abbas, OM (2017) Forecasting with Machine Learning , International Journal of Computer., 26, pp. 184-194

	Abd Alwahab, Magdy and Al baz, Ahalam (2009) Learning Outcomes for Highr Education , National Authority for Quality Assurance and Accreditation of Education

	Abdellatif, R and Calderon, C (2007) A Computer-Mediated tool for Distance-Learning in Archtitecture Education? , ASCAAD, Alexandria, Egypt

	Abdellatif, R. and Calderon, C. (2007) SecondLife: A computer-mediated tool for distance- learning in architecture education? , Proc. 3rd ASCAAD Confernece, Alexandria, 17-34

	Abdelrahman MM and Toutou AMY (2019) [ANT]: A machine learning approach for building performance simulation: methods and development , Acad Res Community Publ 2019; 3: 205–213.

	Abdul Jabbar, AIA and Felicia, P (2015) Gameplay engagement and learning in game-based learning: A systematic review , Review of Educational Research, 85(4), pp. 740-779

	Abdullah, F. (2006) An Evaluation of Problem Based Learning in Architectural Education , Unpublished PhD thesis, University of Strathclyde, Glasgow, U.K.

	Abe, H, et al. (2016) Possibility of applying deep learning to the evaluation of street scape , Proceeding of the annual symposium of Japan Society of Graphic Science, pp. 85-90

	Aboaf, E.W. (1988) Task-Level Robot Learning , M.S. Thesis, Massachusetts Institute of Technology, Cambridge, MA

	ABS. (2021) Learning a Probabilistic Latent Space of Object Shapes via 3D GenerativeAdversarial Modeling , Australian Bureau of Statistics

	Achlioptas P, Diamanti O, Mitliagkas I, et al (2018) Learning representations and generative models for 3D point clouds , G Jennifer, Dy and A Krause (eds) Proceedings of the 35th international conference on machine learning, ICML 2018, Stockholmsmassan, STH, Sweden, 10-15 July 2018, 80, 40 ¨ –49

	Achlioptas P, Diamanti O, Mitliagkas Iet al (2018) Learning representations and generative models for 3D point clouds , International conference on machine learning. https://proceedings.mlr.press/: PMLR, 2018, pp. 40–49.

	Achlioptas, P, Diamanti, O, Mitliagkas, I and Guibas, L (2017) Learning representations and generative models for 3d point clouds. , arXiv preprint arXiv:1707.02392

	Achlioptas, P., Diamanti, O., Mitliagkas, I., & Guibas, L. (2018) Learning Representations and Generative Models for 3D Point Clouds , International conference on machine learning (pp. 4-49). PMLR. Available at: https://proceedings.mlr.press/v8/achlioptas18a.h

	Achlioptas, Panos, Olga Diamanti, Ioannis Mitliagkas, and Leonidas Guibas (2018) Learning Representations and Generative Models for 3D Point Clouds , Proceedings of Machine Learning Research 80: 40–49

	Achten, H and Jessurun, J (2003) Learning From Mah Jong - Towards a Multi-Agent System that can Recognize Graphic Units , Proceedings of the 10th International Conference on Computer Aided Architectural Design Futures, pp. 115-124

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