SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 226–250 of 890 papers

TitleStatusHype
PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data—0
Estimating oil recovery factor using machine learning: Applications of XGBoost classification—0
Differential Private Stack Generalization with an Application to Diabetes Prediction—0
Accurate and Robust Feature Importance Estimation under Distribution Shifts—0
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations—0
Discovering the influence of personal features in psychological processes using Artificial Intelligence techniques: the case of COVID19 lockdown in Spain—0
Discrete Deep Feature Extraction: A Theory and New Architectures—0
Evaluating graph-based explanations for AI-based recommender systems—0
Discrimination, calibration, and point estimate accuracy of GRU-D-Weibull architecture for real-time individualized endpoint prediction—0
Cluster-based Feature Importance Learning for Electronic Health Record Time-series—0
An AI-driven framework for rapid and localized optimizations of urban open spaces—0
Anytime Approximate Formal Feature Attribution—0
Explaining Neural Network Predictions for Functional Data Using Principal Component Analysis and Feature Importance—0
Error-based Knockoffs Inference for Controlled Feature Selection—0
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification—0
Does the Appearance of Autonomous Conversational Robots Affect User Spoken Behaviors in Real-World Conference Interactions?—0
Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos—0
AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI—0
DTization: A New Method for Supervised Feature Scaling—0
Error-controlled non-additive interaction discovery in machine learning models—0
Better Model Selection with a new Definition of Feature Importance—0
Dual-Task Graph Neural Network for Joint Seizure Onset Zone Localization and Outcome Prediction using Stereo EEG—0
TractoSCR: A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography—0
EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations—0
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods—0
Show:102550
← PrevPage 10 of 36Next →
All datasetsbostonBreastcancerDiabetesDigitsirisWine

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