3 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.ML2024
Algorithms for Collaborative Machine Learning under Statistical Heterogeneity
Seok-Ju Hahn
Learning from distributed data without accessing them is undoubtedly a challenging and non-trivial task. Nevertheless, the necessity for distributed training of a statistical model…
cs.LG2024★ 3 cited
CAFO: Feature-Centric Explanation on Time Series Classification
Jaeho Kim, Seok-Ju Hahn, Yoontae Hwang +2
In multivariate time series (MTS) classification, finding the important features (e.g., sensors) for model performance is crucial yet challenging due to the complex, high-dimension…