Feature and Label Association Based on Granulation Entropy for Deep Neural Networks

Author:

Bello Marilyn,Nápoles Gonzalo,Sánchez Ricardo,Vanhoof Koen,Bello Rafael

Publisher

Springer International Publishing

Reference21 articles.

1. Bello, M., Nápoles, G., Sánchez, R., Vanhoof, K., Bello, R.: Deep neural network to extract high-level features and labels in multi-label classification problems. Neurocomputing (Submitted)

2. Bello, R., Falcon, R., Pedrycz, W., Kacprzyk, J.: Granular Computing: At the Junction of Rough Sets and Fuzzy Sets. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-76973-6

3. Bonikowski, Z., Bryniarski, E., Wybraniec-Skardowska, U.: Extensions and intentions in the rough set theory. Inf. Sci. 107(1–4), 149–167 (1998)

4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);F Charte,2016

5. Choi, K., Fazekas, G., Sandler, M.: Automatic tagging using deep convolutional neural networks. arXiv preprint arXiv:1606.00298 (2016)

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