5 papers
Silicon Sampling via Cross-Survey Transfer
Chan-Tung Ku, Chan Hsu, Pei-Cing Huang +3
Silicon sampling-using large language models (LLMs) to simulate human survey respondents-has emerged as a promising approach for augmenting traditional survey research. However, mo…
Subgroup Analysis via Model-based Rule Forest
I-Ling Cheng, Chan Hsu, Chantung Ku +2
Machine learning models are often criticized for their black-box nature, raising concerns about their applicability in critical decision-making scenarios. Consequently, there is a…
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…
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…
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…