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2020 – today
- 2022
[i3]Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong:
Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis. CoRR abs/2205.06131 (2022)- 2021
- [j3]Chainarong Amornbunchornvej
, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong:
Identifying Linear Models in Multi-Resolution Population Data Using Minimum Description Length Principle to Predict Household Income. ACM Trans. Knowl. Discov. Data 15(2): 15:1-15:30 (2021) - 2020
- [j2]Teerapaun Tanprasert, Chaiyaphum Siripanpornchana, Navaporn Surasvadi, Suttipong Thajchayapong:
Recognizing Traffic Black Spots From Street View Images Using Environment-Aware Image Processing and Neural Network. IEEE Access 8: 121469-121478 (2020)
2010 – 2019
- 2019
- [c2]Ugyen Jigten Dorji, Anon Plangprasopchok, Navaporn Surasvadi, Chaiyaphum Siripanpornchana:
A machine learning approach to estimate median income levels of sub-districts in Thailand using satellite and geospatial data. GeoAI@SIGSPATIAL 2019: 11-14 - [c1]Ugyen Jigten Dorji, Chaiyaphum Siripanpornchana, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong:
Exploring Night Light as Proxy for Poverty and Income Inequality Approximation in Thailand. TENCON 2019: 1082-1087 - [i2]Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong:
Identifying Linear Models in Multi-Resolution Population Data using Minimum Description Length Principle to Predict Household Income. CoRR abs/1907.05234 (2019) - [i1]Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong:
A nonparametric framework for inferring orders of categorical data from category-real ordered pairs. CoRR abs/1911.06723 (2019) - 2015
- [j1]Suporn Pongnumkul, Pimwadee Chaovalit, Navaporn Surasvadi:
Applications of Smartphone-Based Sensors in Agriculture: A Systematic Review of Research. J. Sensors 2015: 195308:1-195308:18 (2015)
Coauthor Index
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