SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–325 of 890 papers

TitleStatusHype
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis—0
Personalized Decision Supports based on Theory of Mind Modeling and Explainable Reinforcement Learning—0
Anytime Approximate Formal Feature Attribution—0
A novel feature selection framework for incomplete data—0
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation ModelsCode1
Class-Discriminative Attention Maps for Vision Transformers—0
Predicting Postoperative Nausea And Vomiting Using Machine Learning: A Model Development and Validation StudyCode0
Enhancing Explainability in Mobility Data Science through a combination of methods—0
Data-Driven Modelling for Harmonic Current Emission in Low-Voltage Grid Using MCReSANet with Interpretability Analysis—0
Towards Auditing Large Language Models: Improving Text-based Stereotype Detection—0
Neural Network Pruning by Gradient DescentCode0
Sweetwater: An interpretable and adaptive autoencoder for efficient tissue deconvolutionCode1
A novel post-hoc explanation comparison metric and applicationsCode0
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution DetectionCode0
Iterative missing value imputation based on feature importance—0
Predicting the First Response Latency of Maintainers and Contributors in Pull Requests—0
Uncertainty estimation of machine learning spatial precipitation predictions from satellite data—0
Transformer-based nowcasting of radar composites from satellite images for severe weatherCode1
CrossEAI: Using Explainable AI to generate better bounding boxes for Chest X-ray images—0
Popularity, face and voice: Predicting and interpreting livestreamers' retail performance using machine learning techniques—0
End-to-end Feature Selection Approach for Learning Skinny TreesCode0
Inside the black box: Neural network-based real-time prediction of US recessions—0
Hierarchical Ensemble-Based Feature Selection for Time Series Forecasting—0
On the stability, correctness and plausibility of visual explanation methods based on feature importance—0
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case StudyCode0
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Benchmark Results

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