3 papers
cs.LG2026
A Comparative Study of Adaptation Strategies for Time Series Foundation Models in Anomaly Detection
Miseon Park, Kijung Yoon
Time series anomaly detection is essential for the reliable operation of complex systems, but most existing methods require extensive task-specific training. We explore whether tim…
q-bio.NC2025
Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
Kijung Yoon
Inferring synaptic connectivity from neural population activity is a fundamental challenge in computational neuroscience, complicated by partial observability and mismatches betwee…
eess.IV2024
Osteoporosis Prediction from Hand X-ray Images Using Segmentation-for-Classification and Self-Supervised Learning
Ung Hwang, Chang-Hun Lee, Kijung Yoon
Osteoporosis is a widespread and chronic metabolic bone disease that often remains undiagnosed and untreated due to limited access to bone mineral density (BMD) tests like Dual-ene…