6 papers
Modeling ICD-10 Morbidity and Multidimensional Poverty as a Spatial Network: Evidence from Thailand
Pratana Kukieattikool, Kittiya Ku-kiattikun, Anukool Noymai +5
Health and poverty in Thailand exhibit pronounced geographic structuring, yet the extent to which they operate as interconnected regional systems remains insufficiently understood.…
LGTD: Local-Global Trend Decomposition for Season-Length-Free Time Series Analysis
Chotanansub Sophaken, Thanadej Rattanakornphan, Piyanon Charoenpoonpanich +2
Time series decomposition into trend, seasonal, and residual components is a fundamental primitive in data mining and analytics pipelines, underpinning anomaly detection, change-po…
Multi-Band Variable-Lag Granger Causality: A Unified Framework for Causal Time Series Inference across Frequencies
Chakattrai Sookkongwaree, Tattep Lakmuang, Chainarong Amornbunchornvej
Understanding causal relationships in time series is fundamental to many domains, including neuroscience, economics, and behavioral science. Granger causality is one of the well-kn…
Reduced Efficiency in the Attentional Network During Distractor Suppression in Mild Cognitive Impairment
Jatupong Oboun, Piyanon Charoenpoonpanich, Anna Raksapatcharawong +4
Mild Cognitive Impairment (MCI) is a critical transitional stage between normal cognitive aging and dementia, making its early detection essential. This study investigates the neur…
Inferring the Most Similar Variable-length Subsequences between Multidimensional Time Series
Thanadej Rattanakornphan, Piyanon Charoenpoonpanich, Chainarong Amornbunchornvej
Finding the most similar subsequences between two multidimensional time series has many applications: e.g. capturing dependency in stock market or discovering coordinated movement…
From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
Phaphontee Yamchote, Saw Nay Htet Win, Chainarong Amornbunchornvej +1
Feature interaction is crucial in predictive machine learning models, as it captures the relationships between features that influence model performance. In this work, we focus on…