SOTAVerified

Feature Importance

Papers

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Showing 326–350 of 890 papers

TitleStatusHype
Adversarial Mixture Of Experts with Category Hierarchy Soft ConstraintCode0
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal ExplanationCode0
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input FeaturesCode0
Classification-Specific Parts for Improving Fine-Grained Visual CategorizationCode0
BIAS: A Body-based Interpretable Active Speaker ApproachCode0
Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting MachinesCode0
Multi-criteria Rank-based Aggregation for Explainable AICode0
Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events ExtractionCode0
Feature Importance and Explainability in Quantum Machine LearningCode0
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example GenerationCode0
Marginal Contribution Feature Importance -- an Axiomatic Approach for The Natural CaseCode0
Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasoundsCode0
Explaining word embeddings with perfect fidelity: Case study in research impact predictionCode0
Effects of heavy metal exposure on hypertension: A machine learning modeling approach—0
Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes—0
Beyond Single-Feature Importance with ICECREAM—0
Effectiveness of LSTMs in Predicting Congestive Heart Failure Onset—0
EEG-based Multimodal Representation Learning for Emotion Recognition—0
Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics—0
EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations—0
Beyond Feature Importance: Feature Interactions in Predicting Post-Stroke Rigidity with Graph Explainable AI—0
Dual-Task Graph Neural Network for Joint Seizure Onset Zone Localization and Outcome Prediction using Stereo EEG—0
Analyzing Domestic Violence through Exploratory Data Analysis and Explainable Ensemble Learning Insights—0
AEFE: Automatic Embedded Feature Engineering for Categorical Features—0
DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation—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