SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 851–875 of 890 papers

TitleStatusHype
Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion—0
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape—0
Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction—0
Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection—0
Interpretable machine learning-guided design of Fe-based soft magnetic alloys—0
Interpretable Models via Pairwise permutations algorithm—0
Interpretable Multimodal Emotion Recognition using Facial Features and Physiological Signals—0
A Large-scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk Assessment—0
Interpretable QSPR Modeling using Recursive Feature Machines and Multi-scale Fingerprints—0
INTERPRETATION OF NEURAL NETWORK IS FRAGILE—0
Interpreting a Recurrent Neural Network's Predictions of ICU Mortality Risk—0
Interpreting Black-boxes Using Primitive Parameterized Functions—0
Interpreting Deep Forest through Feature Contribution and MDI Feature Importance—0
Interpreting Inflammation Prediction Model via Tag-based Cohort Explanation—0
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs—0
Investigating cybersecurity incidents using large language models in latest-generation wireless networks—0
Investigating the importance of social vulnerability in opioid-related mortality across the United States—0
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams—0
Is Shapley Explanation for a model unique?—0
Iterative missing value imputation based on feature importance—0
KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI—0
Knockoffs for the mass: new feature importance statistics with false discovery guarantees—0
LatentSwap3D: Semantic Edits on 3D Image GANs—0
LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification—0
Learnable cut flow—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