SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–575 of 890 papers

TitleStatusHype
Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach—0
Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques—0
X-SHAP: towards multiplicative explainability of Machine Learning—0
EXACT-CT: EXplainable Analysis for Crohn's and Tuberculosis using CT—0
CaliciBoost: Performance-Driven Evaluation of Molecular Representations for Caco-2 Permeability Prediction—0
On The Impact of Merge Request Deviations on Code Review Practices—0
Local MDI+: Local Feature Importances for Tree-Based Models—0
Correlation vs causation in Alzheimer's disease: an interpretability-driven study—0
A Broad Learning Approach for Context-Aware Mobile Application Recommendation—0
Abstract Interpretation-Based Feature Importance for SVMs—0
PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data—0
Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning—0
A Case Study on the Classification of Lost Circulation Events During Drilling using Machine Learning Techniques on an Imbalanced Large Dataset—0
Accurate and fast anomaly detection in industrial processes and IoT environments—0
Accurate and Robust Feature Importance Estimation under Distribution Shifts—0
Accurate estimation of feature importance faithfulness for tree models—0
Accurate predictive model of band gap with selected important features based on explainable machine learning—0
AcME -- Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box—0
AcME-AD: Accelerated Model Explanations for Anomaly Detection—0
A Comparative Approach to Explainable Artificial Intelligence Methods in Application to High-Dimensional Electronic Health Records: Examining the Usability of XAI—0
A Comparative Study of Machine Learning Algorithms for Stock Price Prediction Using Insider Trading Data—0
A Comparison of Modeling Preprocessing Techniques—0
A coupled-mechanisms modelling framework for neurodegeneration—0
Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation—0
A data-driven approach to the forecasting of ground-level ozone concentration—0
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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