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Visualization of Explainable Artificial Intelligence Techniques Using Variable Importance with Its Applications to Health Information Data |
Hyerin Jeong, Junghoon Park, Yungseop Lee, Changwon Lim |
J Health Info Stat. 2020;45(4):317-334. Published online 2020 November 30 DOI: https://doi.org/10.21032/jhis.2020.45.4.317 |
Visualization of Explainable Artificial Intelligence Techniques Using Variable Importance with Its Applications to Health Information Data Inferring the value of a variable using measure based information of a related variable Model Visualization Techniques and Traditional Interpretable Algorithms Stock time series visualization based on data point importance Visualization and simulation techniques for surgical simulators using actual patient’s data Explainable Artificial Intelligence for Predictive Maintenance Applications using a Local Surrogate Model Visualization Techniques for Outlier Data 2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC). 2020; Arithmetic Optimization Algorithm with Explainable Artificial Intelligence Technique for Biomedical Signal Analysis Explainable Artificial Intelligence for Predictive Maintenance Applications Modeling of Explainable Artificial Intelligence with Correlation-Based Feature Selection Approach for Biomedical Data Analysis |
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