7 papers
Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning
Yihuang Kang, Yi-Wen Chiu, Ming-Yen Lin +2
Machine Learning (ML) and its applications have been transforming our lives but it is also creating issues related to the development of fair, accountable, transparent, and ethical…
Topic Diffusion Discovery Based on Deep Non-negative Autoencoder
Sheng-Tai Huang, Yihuang Kang, Shao-Min Hung +2
Researchers have been overwhelmed by the explosion of research articles published by various research communities. Many research scholarly websites, search engines, and digital lib…
Discovering Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests
Bowen Kuo, Yihuang Kang, Pinghsung Wu +2
Patients with Acute Kidney Injury (AKI) increase mortality, morbidity, and long-term adverse events. Therefore, early identification of AKI may improve renal function recovery, dec…
Towards Interpretable Deep Extreme Multi-label Learning
Yihuang Kang, I-Ling Cheng, Wenjui Mao +2
Many Machine Learning algorithms, such as deep neural networks, have long been criticized for being "black-boxes"-a kind of models unable to provide how it arrive at a decision wit…
Process Discovery using Classification Tree Hidden Semi-Markov Model
Yihuang Kang, Vladimir Zadorozhny
Various and ubiquitous information systems are being used in monitoring, exchanging, and collecting information. These systems are generating massive amount of event sequence logs…
Topic Diffusion Discovery based on Sparseness-constrained Non-negative Matrix Factorization
Yihuang Kang, Keng-Pei Lin, I-Ling Cheng
Due to recent explosion of text data, researchers have been overwhelmed by ever-increasing volume of articles produced by different research communities. Various scholarly search w…