SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 851–875 of 890 papers

TitleStatusHype
Towards Automatic Concept-based ExplanationsCode0
Classification-Specific Parts for Improving Fine-Grained Visual CategorizationCode0
Automated Dynamic Bayesian Networks for Predicting Acute Kidney Injury Before OnsetCode0
Automated discovery of symbolic laws governing skill acquisition from naturally occurring dataCode0
I Bet You Did Not Mean That: Testing Semantic Importance via BettingCode0
Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case StudyCode0
The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case StudyCode0
The Impact of Feature Representation on the Accuracy of Photonic Neural NetworksCode0
Graph convolutional network for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolutionCode0
Rule induction for global explanation of trained modelsCode0
Neural network interpretability for forecasting of aggregated renewable generationCode0
Neural Network Pruning by Gradient DescentCode0
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift AlgorithmCode0
The Reader is the Metric: How Textual Features and Reader Profiles Explain Conflicting Evaluations of AI Creative WritingCode0
Classification of cotton water stress using convolutional neural networks and UAV-based RGB imageryCode0
AutoLearn - Automated Feature Generation and SelectionCode0
Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisationCode0
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic InterpretationsCode0
Transforming Feature Space to Interpret Machine Learning ModelsCode0
Inferring feature importance with uncertainties in high-dimensional dataCode0
Oblique Predictive Clustering TreesCode0
Choose Your Explanation: A Comparison of SHAP and GradCAM in Human Activity RecognitionCode0
Scrutinizing XAI using linear ground-truth data with suppressor variablesCode0
Instance-based Explanations for Gradient Boosting Machine Predictions with AXIL WeightsCode0
Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk StratificationCode0
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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