Algorithmic Machine
Intelligence Laboratory.
국립한국교통대학교 AMI Lab.
AMINotice
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AMI Publication
AMI Research
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Sub-One Shot Learning
A learning paradigm for extreme low-label settings where labeled data is fewer than the number of classes.
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Reliable Learning under Uncertainty
Analysis of reliability and collapse of learning systems under uncertainty across data, architecture, and training.
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Edge AI-based Time Series Anomaly Detection
A learning framework for reliable time-series anomaly detection in resource-constrained edge environments.
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Recommendation System
An analytical framework for automatically collecting and refining product data to intelligently recommend competing products.
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