36 citations · 52 across the 4 of their papers we have counts for
4 papers
ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features
Xin Wei, Yaling Tao, Changde Du +3
Mammography is the primary imaging tool for breast cancer diagnosis. Despite significant strides in applying deep learning to interpret mammography images, efforts that focus predo…
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…
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…
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…