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Feature Importance

Papers

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Showing 751–775 of 890 papers

TitleStatusHype
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach—0
Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data—0
Explaining Humour Style Classifications: An XAI Approach to Understanding Computational Humour Analysis—0
Explaining Neural Network Predictions for Functional Data Using Principal Component Analysis and Feature Importance—0
Explaining the Black-box Smoothly- A Counterfactual Approach—0
Explaining the Unexplainable: A Systematic Review of Explainable AI in Finance—0
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability—0
Explaining Time Series by Counterfactuals—0
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models—0
Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital—0
Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis—0
Exploring Feature Importance and Explainability Towards Enhanced ML-Based DoS Detection in AI Systems—0
Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections—0
Exploring Non-Linear Effects of Built Environment on Travel Using an Integrated Machine Learning and Inferential Modeling Approach: A Three-Wave Repeated Cross-Sectional Study—0
Exploring Patterns Behind Sports—0
Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning—0
Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation—0
FACT: High-Dimensional Random Forests Inference—0
FairCanary: Rapid Continuous Explainable Fairness—0
Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates—0
FairMobi-Net: A Fairness-aware Deep Learning Model for Urban Mobility Flow Generation—0
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting—0
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data—0
FAST: Feature Arrangement for Semantic Transmission—0
Fault Detection for agents on power grid topology optimization: A Comprehensive analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.76—Unverified
2Garson Variable ImportancePearson Correlation0.76—Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.6—Unverified
2Garson Variable ImportancePearson Correlation0.22—Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.86—Unverified
2Garson Variable ImportancePearson Correlation0.64—Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.83—Unverified
2Garson Variable ImportancePearson Correlation0.6—Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.9—Unverified
2Garson Variable ImportancePearson Correlation0.73—Unverified
#ModelMetricClaimedVerifiedStatus
1Garson Variable ImportancePearson Correlation0.74—Unverified
2VarImpVIANNPearson Correlation0.41—Unverified