SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 890 papers

TitleStatusHype
RISE: Randomized Input Sampling for Explanation of Black-box ModelsCode1
Hierarchical interpretations for neural network predictionsCode1
A Unified Approach to Interpreting Model PredictionsCode1
MUPAX: Multidimensional Problem Agnostic eXplainable AI—0
Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts—0
SentiDrop: A Multi Modal Machine Learning model for Predicting Dropout in Distance Learning—0
Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions—0
Segment Anything in Pathology Images with Natural Language—0
The Role of Explanation Styles and Perceived Accuracy on Decision Making in Predictive Process Monitoring—0
Enhancing interpretability of rule-based classifiers through feature graphsCode0
Correlation vs causation in Alzheimer's disease: an interpretability-driven study—0
Local MDI+: Local Feature Importances for Tree-Based Models—0
On The Impact of Merge Request Deviations on Code Review Practices—0
Towards Large Language Models with Self-Consistent Natural Language Explanations—0
Profiling Electric Vehicles via Early Charging Voltage PatternsCode0
CaliciBoost: Performance-Driven Evaluation of Molecular Representations for Caco-2 Permeability Prediction—0
Spatial Association Between Near-Misses and Accident Blackspots in Sydney, Australia: A Getis-Ord G_i^* Analysis—0
The Reader is the Metric: How Textual Features and Reader Profiles Explain Conflicting Evaluations of AI Creative WritingCode0
Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records—0
Multi-criteria Rank-based Aggregation for Explainable AICode0
Data Model Design for Explainable Machine Learning-based Electricity Applications—0
Dual-Task Graph Neural Network for Joint Seizure Onset Zone Localization and Outcome Prediction using Stereo EEG—0
Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability?—0
A Multi-Head Attention Soft Random Forest for Interpretable Patient No-Show Prediction—0
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals—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