On the synergy of network science and artificial intelligence

IJCAI International Joint Conference on Artificial Intelligence

Volumn 2016-January, Issue , 2016, Pages 4020-4021

  Mocanu, Decebal Constantin ^a  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS;

NETWORK SCIENCE;

ARTIFICIAL INTELLIGENCE;

EID: 85006163488     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

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9. D.C. Mocanu, G. Exarchakos, and A. Liotta. Deep learning for objective quality assessment of 3d images. In Image Processing (ICIP), 2014 IEEE International Conference on, pages 758-762, Oct 2014.
10. E. Mocanu, D.C. Mocanu, H.B. Ammar, Z. Zivkovic, A. Liotta, and E. Smirnov. Inexpensive user tracking using boltzmann machines. In Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on, pages 1-6, Oct 2014.
11. D.C. Mocanu, H. Bou Ammar, D. Lowet, K. Driessens, A. Liotta, G.Weiss, and K. Tuyls. Factored four way conditional restricted boltzmann machines for activity recognition. Pattern Recognition Letters, 66:100-108, 2015.
12. D.C. Mocanu, G. Exarchakos, H.B. Ammar, and A. Liotta. Reduced reference image quality assessment via boltzmann machines. In Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on, pages 1278-1281, May 2015.
13. D.C. Mocanu, J. Pokhrel, J.P. Garella, J. Seppnen, E. Liotou, and M. Narwaria. No-reference video quality measurement: added value of machine learning. Journal of Electronic Imaging, 24(6):061208, 2015.
14. D.C. Mocanu, H. Bou Ammar, L. Puig, E. Eaton, and A. Liotta. Estimating 3d trajectories from 2d projections via disjunctive factored four-way conditional restricted boltzmann machines. CoRR, 2016.
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