2023년 11월 27일 이유진, 김주은, 김영민, 노승찬, 문지원, 김용성, 이예슬 석사과정의 디펜스가 진행되었습니다.

[이유진 석사과정] Autoencoder-Based Robust Anomaly Detection for Multivariate Time Series with Various Normalities



[김주은 석사과정] Time series anomaly detection based on self-supervised learning with dual downsampling



[김영민 석사과정] Enhancing Cloud Workload Forecasting: Multivariate Time Series Approach with Anomaly Handling and Ensemble Learning



[노승찬 석사과정] Interpolative Cumulative Distribution Function Decoding and Type-Specific Conditioner for High Quality Tabular Data Synthesis



[문지원 석사과정] Continual Anomaly Detection in Manufacturing Time Series Using MADFlow: A Task-Agnostic Approach



[김용성 석사과정] Fault detection for lamination machine of LIB manufacturing based on partial band FFT process



[이예슬 석사과정] Multi-view Augmentation for Enhanced Out-of-Distribution Generalization in Time Series Anomaly Detection



상기 내용을 주제로 발표를 진행하였으며, 백준걸 교수님, 강필성 교수님, 한성원 교수님께서 심사를 진행하셨습니다.


다들 수고하셨습니다!!