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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	He, K, Zhang, X, Ren, S and Sun, J (2015) Delving deep into rectifiers: Surpassing human-level performance on imagenet classification , Proceedings of the IEEE international conference on computer vision, pp. 1026-1034

	He, K., Zhang, X., Ren, S. and Sun, J. (2015) Spatial pyramid pooling in deep convolutional networks for visual recognition , IEEE transactions on pattern analysis and machine intelligence, 37(9), pp. 1904-1916

	Jabbar AIA and Felicia P. (2015) Gameplay engagement and learning in game-based learning: a systematic review , Rev Educ Res; 85(4): 740–779

	Jones, C. (2015) Networked Learning: An educational paradigm for the age of digital networks , Springer

	Jordan MI and Mitchell TM. (2015) Machine learning: trends, perspectives, and prospects , Science; 349(6245): 255–260, https://science.sciencemag.org/content/349/6245/255

	Jordan, M. I. and Mitchell, T. M. (2015) Machine learning: Trends, perspectives, and prospects , Science, 349(6245), pp. 255-260

	Jordan, M., & Mitchell, T.M. (2015) Machine Learning: Trends, Perspectives, and Prospects , Science (New York, N.Y.). 349. 255-6. Available at: https://doi.org/1.1126/science.aaa8415.

	Kelleher, J., Mac Namee, B., & D'Arcy, A. (2015) Fundamentals of Machine Learning for predictive data analytics , Cambridge, MA: MIT Press

	Kelleher, John D., Brian Mac Namee, and Aoife D’Arcy (2015) Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies , Cambridge, MA: MIT Press

	Kingma, D and Ba, J (2015) Adam: A method for stochastic optimization , International Conference on Learning Representations, San Diego

	Kingma, D and Ba, J (2015) Adam: A Method for Stochastic Optimization , 3rd International Conference for Learning Representations, San Diego

	Kingma, D. P., & Ba, J. Adam (2015) A Method for Stochastic Optimization , Proc. 3rd International Conference on Learning Representations (ICLR) (ICLR, 215). Available at: https://doi.org/1.4855/arXiv.1412.698

	Koch, G, Zemel, R and Salakhutdinov, R (2015) Siamese Neural Networks for One-shot Image Recognition , Proc. of 32nd Int. Conf. on Mach. Learning

	Kolb, D. A. (2015) Experiential learning: experience as the source of learning and development , Upper Saddle River, New Jersey: Pearson Education Ltd.

	Kraten M. (2015) Social presence theory and experiential learning games , Bus Educ Innov J; 7(2): 6–16

	Krijnen T. and Tamke M. (2015) Assessing implicit knowledge in BIM models with machine learning , Thomsen M, Tamke M, Gengnagel C, et al. (eds) Modelling behaviour . Cham: Springer, pp. 397–406

	Krijnen, T and Tamke, M (2015) Assessing implicit knowledge in BIM models with machine learning , Thomsen, M and et al., . (eds), Modelling Behaviour, Springer International Publishing

	Krijnen, Thomas, and Martin Tamke (2015) Assessing Implicit Knowledge in BIM Models with Machine Learning , Modelling Behaviour: Design Modelling Symposium 2015, edited by Mette Ramsgaard Thomsen, Martin Tamke, Christoph Gengnagel, Billie Faircloth, and Fabian Scheurer, 397–406. Cham: Springer. https://doi.org/10.1007/978-3-319-24208-8_33

	Kuderer M, Gulati S and Burgard W. (2015) Learning driving styles for autonomous vehicles from demonstration , IEEE international conference on robotics and automation (ICRA), 26–30 May 2015, pp. 2641–2646. Seattle, WA: IEEE

	Lamb, R., Akmal, T., & Petrie, K. (2015) Development of a cognition-priming model describing learning in a STEM classroom , Journal of Research in Science Teaching, 52(3), 410-437. https://doi.org/10.1002/tea.21200

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