SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 526–550 of 890 papers

TitleStatusHype
Using a Local Surrogate Model to Interpret Temporal Shifts in Global Annual Data—0
Using an interpretable Machine Learning approach to study the drivers of International Migration—0
Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality—0
Using Spark Machine Learning Models to Perform Predictive Analysis on Flight Ticket Pricing Data—0
Using Spatio-temporal Deep Learning for Forecasting Demand and Supply-demand Gap in Ride-hailing System with Anonymised Spatial Adjacency Information—0
Validity of Feature Importance in Low-Performing Machine Learning for Tabular Biomedical Data—0
Variable Importance Using Decision Trees—0
Visual Error Patterns in Multi-Modal AI: A Statistical Approach—0
Visualizing Topological Importance: A Class-Driven Approach—0
VoxelNextFusion: A Simple, Unified and Effective Voxel Fusion Framework for Multi-Modal 3D Object Detection—0
VR Based Emotion Recognition Using Deep Multimodal Fusion With Biosignals Across Multiple Anatomical Domains—0
Wavelet Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types—0
Website fingerprinting on early QUIC traffic—0
What Emotions Make One or Five Stars? Understanding Ratings of Online Product Reviews by Sentiment Analysis and XAI—0
What went wrong and when? Instance-wise Feature Importance for Time-series Models—0
What went wrong and when?\\ Instance-wise feature importance for time-series black-box models—0
When a CBR in Hand is Better than Twins in the Bush—0
Mapping Biomedical Ontology Terms to IDs: Effect of Domain Prevalence on Prediction Accuracy—0
Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study—0
Which is the best model for my data?—0
Which products activate a product? An explainable machine learning approach—0
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal—0
Why Attentions May Not Be Interpretable?—0
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification—0
XAI-Guided Enhancement of Vegetation Indices for Crop Mapping—0
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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