SOTAVerified

Feature Importance

Papers

Showing 5175 of 890 papers

TitleStatusHype
DBA: Distributed Backdoor Attacks against Federated LearningCode1
A Matlab Toolbox for Feature Importance RankingCode1
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the CloudCode1
Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature ImportanceCode1
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
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports DatasetCode1
Compressing Features for Learning with Noisy LabelsCode1
Concept Activation Regions: A Generalized Framework For Concept-Based ExplanationsCode1
MusicLIME: Explainable Multimodal Music UnderstandingCode1
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopesCode1
ControlBurn: Feature Selection by Sparse ForestsCode1
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
Discretized Integrated Gradients for Explaining Language ModelsCode1
Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional BenchmarkCode1
Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation ModelsCode1
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCsCode1
A Unified Approach to Interpreting Model PredictionsCode1
agtboost: Adaptive and Automatic Gradient Tree Boosting ComputationsCode1
Explainable Global Wildfire Prediction Models using Graph Neural NetworksCode1
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?Code1
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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