A Synthetic Data Generation Approach Using Correlation Coefficient and Neural Networks
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-9012-9_7
Reference13 articles.
1. Han C, et al (2018) GAN-based synthetic brain MR image generation. 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018). Washington, DC, USA, pp 734–738. https://doi.org/10.1109/ISBI.2018.8363678
2. Behjati R, Arisholm E, Bedregal M, Tan C (2019) Synthetic test data generation using recurrent neural networks: a position paper. 2019 IEEE/ACM 7th international workshop on realizing artificial intelligence synergies in software engineering (RAISE). Montreal, QC, Canada, pp 22–27. https://doi.org/10.1109/RAISE.2019.00012
3. Moreno-Barea F, Jerez J, Franco L (2020) Improving classification accuracy using data augmentation on small data sets. Expert Syst Appl 161:113696. https://doi.org/10.1016/j.eswa.2020.113696
4. Schober P, Boer C, Schwarte L (2018) Correlation coefficients: appropriate use and interpretation. Anesth Analg 126:1. https://doi.org/10.1213/ANE.0000000000002864
5. Kurtulus D (2009) Ability to forecast unsteady aerodynamic forces of flapping airfoils by artificial neural network. Neural Comput Appl 18:359–368. https://doi.org/10.1007/s00521-008-0186-2
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