4 citations · 6 across the 6 of their papers we have counts for
4 papers · 1 filter
Multi-Scale Label Relation Learning for Multi-Label Classification Using 1-Dimensional Convolutional Neural Networks
Junhyung Kim, Byungyoon Park, Charmgil Hong
We present Multi-Scale Label Dependence Relation Networks (MSDN), a novel approach to multi-label classification (MLC) using 1-dimensional convolution kernels to learn label depend…
Detecting Unusual Input-Output Associations in Multivariate Conditional Data
Charmgil Hong, Milos Hauskrecht
Despite tremendous progress in outlier detection research in recent years, the majority of existing methods are designed only to detect unconditional outliers that correspond to un…
Dealing with Class Imbalance using Thresholding
Charmgil Hong, Rumi Ghosh, Soundar Srinivasan
We propose thresholding as an approach to deal with class imbalance. We define the concept of thresholding as a process of determining a decision boundary in the presence of a tuna…
A Mixtures-of-Experts Framework for Multi-Label Classification
Charmgil Hong, Iyad Batal, Milos Hauskrecht
We develop a novel probabilistic approach for multi-label classification that is based on the mixtures-of-experts architecture combined with recently introduced conditional tree-st…