39 citations · 85 across the 7 of their papers we have counts for
7 papers
Language Semantics Interpretation with an Interaction-based Recurrent Neural Networks
Shaw-Hwa Lo, Yiqiao Yin
Text classification is a fundamental language task in Natural Language Processing. A variety of sequential models is capable making good predictions yet there is lack of connection…
An Interaction-based Convolutional Neural Network (ICNN) Towards Better Understanding of COVID-19 X-ray Images
Shaw-Hwa Lo, Yiqiao Yin
The field of Explainable Artificial Intelligence (XAI) aims to build explainable and interpretable machine learning (or deep learning) methods without sacrificing prediction perfor…
A Novel Interaction-based Methodology Towards Explainable AI with Better Understanding of Pneumonia Chest X-ray Images
Shaw-Hwa Lo, Yiqiao Yin
In the field of eXplainable AI (XAI), robust "blackbox" algorithms such as Convolutional Neural Networks (CNNs) are known for making high prediction performance. However, the abili…
Estimating the theoretical error rate for prediction
Herman Chernoff, Shaw-Hwa Lo, Tian Zheng +1
Prediction for very large data sets is typically carried out in two stages, variable selection and pattern recognition. Ordinarily variable selection involves seeing how well indiv…
A Robust Model-free Approach for Rare Variants Association Studies Incorporating Gene-Gene and Gene-Environmental Interactions
Ruixue Fan, Shaw-Hwa Lo
Recently more and more evidence suggests that rare variants with much lower minor allele frequencies play significant roles in disease etiology. Advances in next-generation sequenc…
Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Tian Zheng, Shaw-Hwa Lo
Comment on "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]