Explainable machine learning in image classification models: An uncertainty quantification perspective

Computer Science

• Model Prediction 100%
• Quantification 100%
• Image Classification 100%
• Classification Models 100%
• Explainable Artificial Intelligence 100%
• Deep Learning Model 66%
• Entropy 16%
• Design Optimization 16%
• Critical Application 16%
• Parameter Uncertainty 16%
• Optimization Formulation 16%
• Differential Evolution 16%
• Cumulative Distribution 16%
• Functions 16%
• Threshold Value 16%

Engineering

• Model Prediction 100%
• Uncertainty Quantification 100%
• Models 100%
• Deep Learning 66%
• Input Image 33%
• Dropout 33%
• Networks 33%
• Input Feature 16%
• Parameter Uncertainty 16%
• Cumulative Distribution Function 16%
• Critical Application 16%
• Development 16%
• Prediction 16%
• Measurer 16%
• Demonstrates 16%
• Determines 16%
• Combines 16%
• Threshold Value 16%
• Based Design Optimization 16%

Economics, Econometrics and Finance

• Machine Learning 100%
• Learning 66%
• Bayesian 33%
• Robustness 16%
• Location 16%
• Leverage 16%