SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 890 papers

TitleStatusHype
EPIC: Explanation of Pretrained Image Classification Networks via PrototypeCode0
FRAME-C: A knowledge-augmented deep learning pipeline for classifying multi-electrode array electrophysiological signals—0
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data AugmentationCode0
Semantically-Aware Game Image Quality Assessment—0
Real-World fNIRS-Based Brain-Computer Interfaces: Benchmarking Deep Learning and Classical Models in Interactive Gaming—0
Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods—0
Evaluating Model Explanations without Ground TruthCode0
QuXAI: Explainers for Hybrid Quantum Machine Learning ModelsCode0
Optimizing Urban Critical Green Space Development Using Machine Learning—0
SHAP-based Explanations are Sensitive to Feature RepresentationCode0
Integrating Natural Language Processing and Exercise Monitoring for Early Diagnosis of Metabolic Syndrome: A Deep Learning Approach—0
Machine Learning-Based Detection of DDoS Attacks in VANETs for Emergency Vehicle Communication—0
BMMDetect: A Multimodal Deep Learning Framework for Comprehensive Biomedical Misconduct Detection—0
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 Models—0
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction—0
Machine Learning Meets Transparency in Osteoporosis Risk Assessment: A Comparative Study of ML and Explainability Analysis—0
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 alloys—0
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 Forest—0
Feature Selection via GANs (GANFS): Enhancing Machine Learning Models for DDoS Mitigation—0
Investigating cybersecurity incidents using large language models in latest-generation wireless networks—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