36 citations · 36 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 36 cited
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation
Yaling Tao, Kentaro Takagi, Kouta Nakata
Clustering is one of the most fundamental tasks in machine learning. Recently, deep clustering has become a major trend in clustering techniques. Representation learning often play…
cs.LG2021
Investigating Critical Risk Factors in Liver Cancer Prediction
Jinpeng Li, Yaling Tao, Ting Cai
We exploit liver cancer prediction model using machine learning algorithms based on epidemiological data of over 55 thousand peoples from 2014 to the present. The best performance…
cs.LG2018
RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets
Yaling Tao, Kentaro Takagi, Kouta Nakata
Clustering is a fundamental machine learning task and can be used in many applications. With the development of deep neural networks (DNNs), combining techniques from DNNs with clu…