output
20082025
most citedAutomatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach

168 citations

30 papers

cs.AI2025

Interpretation as Linear Transformation: A Cognitive-Geometric Model of Concepts and Meaning

Chainarong Amornbunchornvej

This paper develops a geometric framework for modeling concepts, motivation, and influence across cognitively heterogeneous agents. Each agent is represented by a personalized valu…

stat.ME2024

Regional and spatial dependence of poverty factors in Thailand, and its use into Bayesian hierarchical regression analysis

Irving Gómez-Méndez, Chainarong Amornbunchornvej

Poverty is a serious issue that harms humanity progression. The simplest solution is to use one-shirt-size policy to alleviate it. Nevertheless, each region has its unique issues,…

cs.LG2024

Framework for Variable-lag Motif Following Relation Inference In Time Series using Matrix Profile analysis

Naaek Chinpattanakarn, Chainarong Amornbunchornvej

Knowing who follows whom and what patterns they are following are crucial steps to understand collective behaviors (e.g. a group of human, a school of fish, or a stock market). Tim…

stat.ME2023★ 6 cited

Income, education, and other poverty-related variables: a journey through Bayesian hierarchical models

Irving Gómez-Méndez, Chainarong Amornbunchornvej

One-shirt-size policy cannot handle poverty issues well since each area has its unique challenges, while having a custom-made policy for each area separately is unrealistic due to…

stat.ME2023★ 1 cited

Register-based Census in Thailand: a Case Study in Chachoengsao Province

Nuttirudee Charoenruk, Narongrid Asavaroungpipop, Pannee Pattanapradit +2

The use of registers has been increasingly popular in the field of population census because of its advantages over the traditional census. While the traditional census requires a…

cs.IT2023★ 4 cited

Neural Network Based Optimization of Transmit Beamforming and RIS Coefficients Using Channel Covariances in MISO Downlink

Khin Thandar Kyaw, Wiroonsak Santipach, Kritsada Mamat +3

We propose an unsupervised beamforming neural network (BNN) and a supervised reconfigurable intelligent surface (RIS) convolutional neural network (CNN) to optimize transmit beamfo…