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Feature Importance

Papers

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Showing 301–350 of 890 papers

TitleStatusHype
A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression—0
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing—0
Evaluating graph-based explanations for AI-based recommender systems—0
Explainable AI for Fair Sepsis Mortality Predictive Model—0
Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records—0
A Comparative Approach to Explainable Artificial Intelligence Methods in Application to High-Dimensional Electronic Health Records: Examining the Usability of XAI—0
Explainable AI without Interpretable Model—0
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?—0
Shapley values for cluster importance: How clusters of the training data affect a prediction—0
CFMD: Dynamic Cross-layer Feature Fusion for Salient Object Detection—0
CGS-Mask: Making Time Series Predictions Intuitive for All—0
Explainable Deep Belief Network based Auto encoder using novel Extended Garson Algorithm—0
Channel Pruning Guided by Classification Loss and Feature Importance—0
Explainable Deep Learning for Augmentation of sRNA Expression Profiles—0
Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation—0
A Broad Learning Approach for Context-Aware Mobile Application Recommendation—0
Explainable Image Classification with Evidence Counterfactual—0
Explainable machine learning-based prediction model for diabetic nephropathy—0
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning—0
Explainable Machine Learning System for Predicting Chronic Kidney Disease in High-Risk Cardiovascular Patients—0
CAGE: Causality-Aware Shapley Value for Global Explanations—0
Class-Discriminative Attention Maps for Vision Transformers—0
Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification—0
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy—0
Explainable Unsupervised Anomaly Detection with Random Forest—0
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition—0
Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions—0
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
Estimating Sunlight Using GNSS Signal Strength from Smartphone—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
Estimating oil recovery factor using machine learning: Applications of XGBoost classification—0
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes—0
Cognitive Networks and Performance Drive fMRI-Based State Classification Using DNN Models—0
Estimate the building height at a 10-meter resolution based on Sentinel data—0
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery—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
FeatNavigator: Automatic Feature Augmentation on Tabular Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Garson Variable ImportancePearson Correlation0.76—Unverified
2VarImpVIANNPearson 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