The Effectiveness of Distinctive Information for Cancer Cell Analysis Through Big Data-Reference-Cited by-同舟云学术

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The Effectiveness of Distinctive Information for Cancer Cell Analysis Through Big Data

Published:2019-04-24 Issue: Volume: Page:57-68
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Baniya Babu Kaji,Gnimpieba Etienne Z.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-17798-0_7

Reference14 articles.

1. Islam, S.R.M., Kwak, D., Kabir, H., Hossain, M., Kwak, K.-S.: The internet of things for health care: a comprehensive survey. IEEE Access 3, 678–708 (2015)

2. Lin, K., Xia, F., Wang, W., Tian, D., Song, J.: System design for big data application in emotion-aware healthcare. IEEE Access 4, 6901–6909 (2016)

3. Huang, G.-B., Zhu, Q.-Y., Siew, C.-K.: Extreme learning machine: theory and applications. Neurocomputing 70, 489–501 (2006)

4. Roffo, G., Melzi, S., Castellani, U., Vinciarelli, A.: Infinite latent feature selection: a probabilistic latent graph-based ranking approach. In: IEEE International Conference on Computer Vision (ICCV), pp. 1407-1415 (2017)

5. Baniya, B. K., Lee, J., Li, Z.: Audio feature reduction and analysis for automatic music genre classification. In: 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC), pp. 457–462 (2014)

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