Navaporn Surasvadi

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 8

Top Topics

Minimum Description Length Principle

Top Venues

GeoAI@SIGSPATIAL

ACM Trans. Knowl. Discov. Data

Publications

Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong
Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis. CoRR (2022)
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) (2021)
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 (2020)
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)
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 (2019)
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)
Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, Suttipong Thajchayapong
A nonparametric framework for inferring orders of categorical data from category-real ordered pairs. CoRR (2019)
Suporn Pongnumkul, Pimwadee Chaovalit, Navaporn Surasvadi
Applications of Smartphone-Based Sensors in Agriculture: A Systematic Review of Research. J. Sensors 2015 (2015)