Author:
Kosikov Sergey,Ismailova Larisa,Wolfengagen Viacheslav
Publisher
Springer International Publishing
Reference14 articles.
1. Doan A, Ramakrishnan R, Halevy AY (2011) Crowdsourcing systems on the world-wide web. Commun ACM 54(4):86–96.
https://doi.org/10.1145/1924421.1924442
http://doi.acm.org/10.1145/1924421.1924442
2. Ismailova LY, Kosikov SV, Wolfengagen V (2016) Applicative methods of interpretation of graphically oriented conceptual information. Procedia Comput Sci 88:341–346 (2016).
https://doi.org/10.1016/j.procs.2016.07.446
. 7th annual international conference on biologically inspired cognitive architectures, BICA 2016, held July 16 to July 19, 2016 in New York City.
http://www.sciencedirect.com/science/article/pii/S1877050916317021
3. Jia Y, Shelhamer E, Donahue J, Karayev S, Long J, Girshick R, Guadarrama S, Darrell T (2014) Caffe: convolutional architecture for fast feature embedding. In: Proceedings of the 22Nd ACM international conference on multimedia, MM 2014. ACM, New York, pp 675–678.
https://doi.org/10.1145/2647868.2654889
.
http://doi.acm.org/10.1145/2647868.2654889
4. Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks. In: Proceedings of the 25th international conference on neural information processing systems, vol 1, NIPS 2012. Curran Associates Inc., USA, pp 1097–1105 (2012).
http://dl.acm.org/citation.cfm?id=2999134.2999257
5. Litjens G, Sánchez CI, Timofeeva N, Hermsen M, Nagtegaal I, Kovacs I, Hulsbergen - van de Kaa C, Bult P, van Ginneken B, van der Laak J (2016) Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis. Scientific Reports, 6 (Project No. 26286) (2016).
https://doi.org/10.1038/srep26286
.
http://dx.doi.org/10.1038/srep26286