SOTAVerified

Feature Importance

Papers

Showing 2650 of 890 papers

TitleStatusHype
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data AugmentationCode0
Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods0
QuXAI: Explainers for Hybrid Quantum Machine Learning ModelsCode0
Evaluating Model Explanations without Ground TruthCode0
Real-World fNIRS-Based Brain-Computer Interfaces: Benchmarking Deep Learning and Classical Models in Interactive Gaming0
Optimizing Urban Critical Green Space Development Using Machine Learning0
Integrating Natural Language Processing and Exercise Monitoring for Early Diagnosis of Metabolic Syndrome: A Deep Learning Approach0
SHAP-based Explanations are Sensitive to Feature RepresentationCode0
Machine Learning-Based Detection of DDoS Attacks in VANETs for Emergency Vehicle Communication0
BMMDetect: A Multimodal Deep Learning Framework for Comprehensive Biomedical Misconduct Detection0
This part looks alike this: identifying important parts of explained instances and prototypesCode0
Detecting Quishing Attacks with Machine Learning Techniques Through QR Code AnalysisCode0
Unemployment Dynamics Forecasting with Machine Learning Regression Models0
Machine Learning Meets Transparency in Osteoporosis Risk Assessment: A Comparative Study of ML and Explainability Analysis0
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction0
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative ModelsCode0
Interpretable machine learning-guided design of Fe-based soft magnetic alloys0
Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural NetworksCode0
Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic RegressionCode0
Explainable Unsupervised Anomaly Detection with Random Forest0
Feature Selection via GANs (GANFS): Enhancing Machine Learning Models for DDoS Mitigation0
Investigating cybersecurity incidents using large language models in latest-generation wireless networks0
Beyond Feature Importance: Feature Interactions in Predicting Post-Stroke Rigidity with Graph Explainable AI0
CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous DrivingCode1
FORCE: Feature-Oriented Representation with Clustering and Explanation0
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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