BibBase https://bibbase.org/f/HnQC7A6C8WxhqExKR/CPE_Supaporn

2023 (1)

Systematic Configuration for Hyperparameters Optimization in Transferring of CNN Model to Disaster Events Classification from UAV Images. Bunrit, S.; Kerdprasop, N.; and Kerdprasop, K. Journal of Image and Graphics, 11(3). 2023.
link bibtex

@article{bunrit2023systematic,
  title={Systematic Configuration for Hyperparameters Optimization in Transferring of CNN Model to Disaster Events Classification from UAV Images},
  author={Bunrit, Supaporn and Kerdprasop, Nittaya and Kerdprasop, Kittisak},
  journal={Journal of Image and Graphics},
  volume={11},
  number={3},
  year={2023}
}

2020 (1)

Improving the representation of cnn based features by autoencoder for a task of construction material image classification. Bunrit, S; Kerdprasop, N; and Kerdprasop, K Journal of Advances in Information Technology, 11(4). 2020.
link bibtex

@article{bunrit2020improving,
  title={Improving the representation of cnn based features by autoencoder for a task of construction material image classification},
  author={Bunrit, S and Kerdprasop, N and Kerdprasop, K},
  journal={Journal of Advances in Information Technology},
  volume={11},
  number={4},
  year={2020}
}

2019 (4)

Text-independent speaker identification using deep learning model of convolution neural network. Bunrit, S.; Inkian, T.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Machine Learning and Computing, 9(2): 143–148. 2019.
link bibtex

@article{bunrit2019text,
  title={Text-independent speaker identification using deep learning model of convolution neural network},
  author={Bunrit, Supaporn and Inkian, Thuttaphol and Kerdprasop, Nittaya and Kerdprasop, Kittisak},
  journal={International Journal of Machine Learning and Computing},
  volume={9},
  number={2},
  pages={143--148},
  year={2019}
}

Deep learning technique for improving the recognition of handwritten signature. Hirunyawanakul, A.; Bunrit, S.; Kerdprasop, N.; and Kerdprasop, K. Int. J. Inform. Electron. Eng, 9(4). 2019.
link bibtex

@article{hirunyawanakul2019deep,
  title={Deep learning technique for improving the recognition of handwritten signature},
  author={Hirunyawanakul, Anusara and Bunrit, Supaporn and Kerdprasop, Nittaya and Kerdprasop, Kittisak},
  journal={Int. J. Inform. Electron. Eng},
  volume={9},
  number={4},
  year={2019}
}

Evaluating on the transfer learning of CNN architectures to a construction material image classification task. Bunrit, S.; Kerdprasop, N.; and Kerdprasop, K. Int. J. Mach. Learn. Comput, 9(2): 201–207. 2019.
link bibtex

@article{bunrit2019evaluating,
  title={Evaluating on the transfer learning of CNN architectures to a construction material image classification task},
  author={Bunrit, Supaporn and Kerdprasop, Nittaya and Kerdprasop, Kittisak},
  journal={Int. J. Mach. Learn. Comput},
  volume={9},
  number={2},
  pages={201--207},
  year={2019}
}

Dermatological classification using deep learning of skin image and patient background knowledge. Sriwong, K.; Bunrit, S.; Kerdprasop, K.; and Kerdprasop, N. International Journal of Machine Learning and Computing, 9(6): 862–867. 2019.
link bibtex

@article{sriwong2019dermatological,
  title={Dermatological classification using deep learning of skin image and patient background knowledge},
  author={Sriwong, Kittipat and Bunrit, Supaporn and Kerdprasop, Kittisak and Kerdprasop, Nittaya},
  journal={International Journal of Machine Learning and Computing},
  volume={9},
  number={6},
  pages={862--867},
  year={2019},
  publisher={EJournal Publishing}
}

2018 (1)

Multiresolution analysis based on wavelet transform for commodity prices time series forecasting. Bunrit, S.; Kerdprasop, N.; and Kerdprasop, K. International Journal of Machine Learning and Computing, 8(2): 175–180. 2018.
link bibtex

@article{bunrit2018multiresolution,
  title={Multiresolution analysis based on wavelet transform for commodity prices time series forecasting},
  author={Bunrit, Supaporn and Kerdprasop, Nittaya and Kerdprasop, Kittisak},
  journal={International Journal of Machine Learning and Computing},
  volume={8},
  number={2},
  pages={175--180},
  year={2018}
}

2016 (2)

Artificial neural networks and time series models for electrical load analysis. Chuentawat, R.; Bunrit, S.; Ruangudomsakul, C.; Kerdprasop, N.; and Kerdprasop, K. vol. I. 2016.
link bibtex

@article{chuentawat2016artificial,
  title={Artificial neural networks and time series models for electrical load analysis},
  author={Chuentawat, Ronnachai and Bunrit, Supaporn and Ruangudomsakul, Chanintorn and Kerdprasop, Nittaya and Kerdprasop, Kittisak},
  journal={vol. I},
  year={2016}
}

Neural network-based analysis of precipitation and remotely sensed data. Bunrit, S.; Chanklan, R.; Boonamnuay, S.; Kerdprasop, N.; and Kerdprasop, K. In Proceedings of the International MultiConference of Engineers and Computer Scientists, volume 1, 2016.
link bibtex

@inproceedings{bunrit2016neural,
  title={Neural network-based analysis of precipitation and remotely sensed data},
  author={Bunrit, Supaporn and Chanklan, Ratiporn and Boonamnuay, Supajittree and Kerdprasop, Nittaya and Kerdprasop, Kittisak},
  booktitle={Proceedings of the International MultiConference of Engineers and Computer Scientists},
  volume={1},
  year={2016}
}

2000 (1)

Determining surface shape of SEM images using non-linear shape from shading technique. Bunrit, S.; Covavisaruch, N.; and Thipakorn, B. Proceedings of the Image and Vision Computing New Zealand 2000 (IVCNZ'00),316–321. 2000.
link bibtex

@article{bunrit2000determining,
  title={Determining surface shape of SEM images using non-linear shape from shading technique},
  author={Bunrit, Supaporn and Covavisaruch, Nongluk and Thipakorn, Bundit},
  journal={Proceedings of the Image and Vision Computing New Zealand 2000 (IVCNZ'00)},
  pages={316--321},
  year={2000}
}