SOTAVerified

Feature Importance

Papers

Showing 5175 of 890 papers

TitleStatusHype
CAFO: Feature-Centric Explanation on Time Series ClassificationCode1
A Matlab Toolbox for Feature Importance RankingCode1
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the CloudCode1
Cards Against AI: Predicting Humor in a Fill-in-the-blank Party GameCode1
Joint Shapley values: a measure of joint feature importanceCode1
Label-Free Explainability for Unsupervised ModelsCode1
LFI-CAM: Learning Feature Importance for Better Visual ExplanationCode1
Local Universal Explainer (LUX) -- a rule-based explainer with factual, counterfactual and visual explanationsCode1
Concept Activation Regions: A Generalized Framework For Concept-Based ExplanationsCode1
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports DatasetCode1
Compressing Features for Learning with Noisy LabelsCode1
MusicLIME: Explainable Multimodal Music UnderstandingCode1
ControlBurn: Feature Selection by Sparse ForestsCode1
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopesCode1
Efficient nonparametric statistical inference on population feature importance using Shapley valuesCode1
Counterfactual Shapley Additive ExplanationsCode1
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernelsCode1
Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG DataCode1
Disentangled Attribution Curves for Interpreting Random Forests and Boosted TreesCode1
Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional BenchmarkCode1
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?Code1
A Unified Approach to Interpreting Model PredictionsCode1
agtboost: Adaptive and Automatic Gradient Tree Boosting ComputationsCode1
Explainability and Adversarial Robustness for RNNsCode1
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and ClassificationCode1
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Benchmark Results

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