SOTAVerified

Feature Importance

Papers

Showing 726750 of 890 papers

TitleStatusHype
Benchmarking Attribution Methods with Relative Feature ImportanceCode0
Towards Better Explanations of Class Activation MappingCode0
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input FeaturesCode0
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason ObjectivesCode0
Predicting House Rental Prices in Ghana Using Machine LearningCode0
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting MachineCode0
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer InformationCode0
Sobolev Independence CriterionCode0
Evaluating Explainability in Machine Learning Predictions through Explainer-Agnostic MetricsCode0
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency MapsCode0
Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud DetectionCode0
BIAS: A Body-based Interpretable Active Speaker ApproachCode0
Detection of extragalactic Ultra-Compact Dwarfs and Globular Clusters using Explainable AI techniquesCode0
Explaining word embeddings with perfect fidelity: Case study in research impact predictionCode0
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector PredictionsCode0
Detecting Quishing Attacks with Machine Learning Techniques Through QR Code AnalysisCode0
Predicting Knowledge Gain for MOOC Video ConsumptionCode0
Explanation by Progressive ExaggerationCode0
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data AugmentationCode0
Predicting Postoperative Nausea And Vomiting Using Machine Learning: A Model Development and Validation StudyCode0
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured DataCode0
MABSplit: Faster Forest Training Using Multi-Armed BanditsCode0
Towards consistency of rule-based explainer and black box model -- fusion of rule induction and XAI-based feature importanceCode0
Predicting Survival of Tongue Cancer Patients by Machine Learning ModelsCode0
Machine Learning Assessment of Damage Grade for Post-Earthquake Buildings: A Three-Stage Approach Directly Handling Categorical FeaturesCode0
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Benchmark Results

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