SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 376–400 of 890 papers

TitleStatusHype
Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability ConnectionCode0
Integrating Random Forests and Generalized Linear Models for Improved Accuracy and InterpretabilityCode1
Grad-FEC: Unequal Loss Protection of Deep Features in Collaborative Intelligence—0
Explainability is NOT a Game—0
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods—0
Upscaling Global Hourly GPP with Temporal Fusion Transformer (TFT)—0
Retrieval of Boost Invariant Symbolic Observables via Feature Importance—0
XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importanceCode0
Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes—0
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity NormalizationCode1
Calculating and Visualizing Counterfactual Feature Importance ValuesCode0
Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events ExtractionCode0
Effects of heavy metal exposure on hypertension: A machine learning modeling approach—0
Interpretable Multimodal Emotion Recognition using Facial Features and Physiological Signals—0
Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production—0
Unbiased Gradient Boosting Decision Tree with Unbiased Feature ImportanceCode1
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive MapsCode0
When a CBR in Hand is Better than Twins in the Bush—0
FAST: Feature Arrangement for Semantic Transmission—0
Calibrated Explanations: with Uncertainty Information and CounterfactualsCode1
Interpreting Deep Forest through Feature Contribution and MDI Feature Importance—0
EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations—0
On Pitfalls of RemOve-And-Retrain: Data Processing Inequality PerspectiveCode0
TIGTEC : Token Importance Guided TExt Counterfactuals—0
Π-ML: A dimensional analysis-based machine learning parameterization of optical turbulence in the atmospheric surface layerCode0
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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