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Rakkrit Duangsoithong
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Books and Theses
- 2012
- [b1]Rakkrit Duangsoithong:
Feature selection and casual discovery for ensemble classifiers. University of Surrey, Guildford, UK, 2012
Journal Articles
- 2024
- [j5]Asavaron Limsuebchuea, Rakkrit Duangsoithong, Pornchai Phukpattaranont:
Self-Augmented Noisy Image for Noise2Noise Image Denoising. IEEE Access 12: 71076-71087 (2024) - 2023
- [j4]Supakan Janthong, Kusumal Chalermyanont, Rakkrit Duangsoithong:
Unbalanced Data Handling Techniques for Classifying Energy Theft and Defective Meters in the Provincial Electricity Authority of Thailand. IEEE Access 11: 46522-46540 (2023) - 2021
- [j3]Jermphiphut Jaruenpunyasak, Rakkrit Duangsoithong:
Empirical Analysis of Feature Reduction in Deep Learning and Conventional Methods for Foot Image Classification. IEEE Access 9: 53133-53145 (2021) - 2020
- [j2]Athtayu Yuthong, Rakkrit Duangsoithong, Apidet Booranawong, Kanadit Chetpattananondh:
Monitoring of Volume of Air in Inhalation From Triflo Using Video Processing. IEEE Trans. Instrum. Meas. 69(7): 4334-4347 (2020) - 2011
- [j1]Terry Windeatt, Rakkrit Duangsoithong, Raymond S. Smith:
Embedded Feature Ranking for Ensemble MLP Classifiers. IEEE Trans. Neural Networks 22(6): 988-994 (2011)
Conference and Workshop Papers
- 2022
- [c5]Mukrin Nakhwan, Rakkrit Duangsoithong:
Comparison Analysis of Data Augmentation using Bootstrap, GANs and Autoencoder. KST 2022: 18-23 - 2010
- [c4]Rakkrit Duangsoithong, Terry Windeatt:
Correlation-Based and Causal Feature Selection Analysis for Ensemble Classifiers. ANNPR 2010: 25-36 - [c3]Rakkrit Duangsoithong, Terry Windeatt:
Bootstrap Feature Selection for Ensemble Classifiers. ICDM 2010: 28-41 - 2009
- [c2]Rakkrit Duangsoithong, Terry Windeatt:
Relevant and Redundant Feature Analysis with Ensemble Classification. ICAPR 2009: 247-250 - [c1]Rakkrit Duangsoithong, Terry Windeatt:
Relevance and Redundancy Analysis for Ensemble Classifiers. MLDM 2009: 206-220
Parts in Books or Collections
- 2011
- [p1]Rakkrit Duangsoithong, Terry Windeatt:
Hybrid Correlation and Causal Feature Selection for Ensemble Classifiers. Ensembles in Machine Learning Applications 2011: 97-115
Coauthor Index
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