Can Berk Saner

PhD Candidate


Electrical and Computer Engineering

National University of Singapore



Cost Sensitive Class-Weighting Approach for Transient Instability Prediction Using Convolutional Neural Networks


Conference paper


Mert Kesici, Can Berk Saner, Yusuf Yaslan, VM Istemihan Genc
2019 11th International Conference on Electrical and Electronics Engineering (ELECO), IEEE, 2019, pp. 141--145

Cite

Cite

APA   Click to copy
Kesici, M., Saner, C. B., Yaslan, Y., & Genc, V. M. I. (2019). Cost Sensitive Class-Weighting Approach for Transient Instability Prediction Using Convolutional Neural Networks. In 2019 11th International Conference on Electrical and Electronics Engineering (ELECO) (pp. 141–145). IEEE.


Chicago/Turabian   Click to copy
Kesici, Mert, Can Berk Saner, Yusuf Yaslan, and VM Istemihan Genc. “Cost Sensitive Class-Weighting Approach for Transient Instability Prediction Using Convolutional Neural Networks.” In 2019 11th International Conference on Electrical and Electronics Engineering (ELECO), 141–145. IEEE, 2019.


MLA   Click to copy
Kesici, Mert, et al. “Cost Sensitive Class-Weighting Approach for Transient Instability Prediction Using Convolutional Neural Networks.” 2019 11th International Conference on Electrical and Electronics Engineering (ELECO), IEEE, 2019, pp. 141–45.


BibTeX   Click to copy

@inproceedings{kesici2019a,
  title = {Cost Sensitive Class-Weighting Approach for Transient Instability Prediction Using Convolutional Neural Networks},
  year = {2019},
  organization = {IEEE},
  pages = {141--145},
  author = {Kesici, Mert and Saner, Can Berk and Yaslan, Yusuf and Genc, VM Istemihan},
  booktitle = {2019 11th International Conference on Electrical and Electronics Engineering (ELECO)}
}





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