7 citations · 15 across the 9 of their papers we have counts for
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cs.LG2026
Rarity-Gated Context Conditioning for Offline Imitation Learning-Based Maritime Anomaly Detection
Yongmin Kim, ByeongHoon Jeon, Sungil Kim
Contextual anomaly detection aims to identify abnormal behavior conditional on context variables, but practical deployments often face highly imbalanced context distributions where…
cs.AI2026
Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis
Seongjin Kim, Sungil Kim
Maritime accident adjudication reports contain critical tribunal findings for root cause analysis (RCA), yet retrieving relevant precedents and drafting consistent reports from dec…