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Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 751–800 of 890 papers

TitleStatusHype
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency MapsCode0
DBA: Distributed Backdoor Attacks against Federated LearningCode1
Learning to Faithfully Rationalize by ConstructionCode1
Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations—0
Identifying Semantically Duplicate Questions Using Data Science Approach: A Quora Case Study—0
Explainable Image Classification with Evidence Counterfactual—0
Unpack Local Model Interpretation for GBDT—0
Surrogate-assisted performance prediction for data-driven knowledge discovery algorithms: application to evolutionary modeling of clinical pathways—0
Understanding Global Feature Contributions With Additive Importance MeasuresCode1
Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time—0
A copula-based visualization technique for a neural networkCode0
From unbiased MDI Feature Importance to Explainable AI for Trees—0
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications—0
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAICode1
Channel Pruning Guided by Classification Loss and Feature Importance—0
A Matlab Toolbox for Feature Importance RankingCode1
What went wrong and when? Instance-wise Feature Importance for Time-series Models—0
Understanding the Prediction Mechanism of Sentiments by XAI Visualization—0
What Emotions Make One or Five Stars? Understanding Ratings of Online Product Reviews by Sentiment Analysis and XAI—0
Problems with Shapley-value-based explanations as feature importance measures—0
Feature Importance Estimation with Self-Attention Networks—0
Generating Interpretable Poverty Maps using Object Detection in Satellite Images—0
Hyperparameter Optimization for Forecasting Stock Returns—0
¶ILCRO: Making Importance Landscapes Flat Again—0
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach—0
Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified—0
Forecasting Corn Yield with Machine Learning Ensembles—0
Topological Descriptors Help Predict Guest Adsorption in Nanoporous Materials—0
An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection—0
SensAI+Expanse Emotional Valence Prediction Studies with Cognition and Memory Integration—0
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning—0
Learning Deep Attribution Priors Based On Prior Knowledge—0
SensAI+Expanse Adaptation on Human Behaviour Towards Emotional Valence Prediction—0
Explainability and Adversarial Robustness for RNNsCode1
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and PrognosisCode0
Single Sample Feature Importance: An Interpretable Algorithm for Low-Level Feature Analysis—0
Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder—0
Explanation by Progressive ExaggerationCode0
Sobolev Independence CriterionCode0
Variable Selection with Copula EntropyCode0
CXPlain: Causal Explanations for Model Interpretation under UncertaintyCode0
Self-attention for raw optical Satellite Time Series ClassificationCode0
PV Power Forecasting Using Weighted Features for Enhanced Ensemble Method—0
Meaningful Data Sampling for a Faithful Local Explanation MethodCode0
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text ClassificationCode0
Variance-Based Feature Importance in Neural NetworksCode0
Measuring Unfairness through Game-Theoretic Interpretability—0
Randomized Ablation Feature Importance—0
Decision Explanation and Feature Importance for Invertible NetworksCode0
Multi-grained Attention Networks for Single Image Super-Resolution—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