SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–400 of 890 papers

TitleStatusHype
Generating Interpretable Poverty Maps using Object Detection in Satellite Images—0
Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation—0
GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease—0
FairCanary: Rapid Continuous Explainable Fairness—0
Estimating Sunlight Using GNSS Signal Strength from Smartphone—0
Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates—0
FairMobi-Net: A Fairness-aware Deep Learning Model for Urban Mobility Flow Generation—0
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting—0
Estimating oil recovery factor using machine learning: Applications of XGBoost classification—0
Estimate the building height at a 10-meter resolution based on Sentinel data—0
FAST: Feature Arrangement for Semantic Transmission—0
Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting—0
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery—0
Fault Detection for agents on power grid topology optimization: A Comprehensive analysis—0
FeatNavigator: Automatic Feature Augmentation on Tabular Data—0
Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification—0
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning—0
A Linguistic Perspective on Reference: Choosing a Feature Set for Generating Referring Expressions in Context—0
Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions—0
Feature Importance: A Closer Look at Shapley Values and LOCO—0
Continual Deterioration Prediction for Hospitalized COVID-19 Patients—0
Learning to Detect Critical Nodes in Sparse Graphs via Feature Importance Awareness—0
Global Censored Quantile Random Forest—0
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models—0
Error-controlled non-additive interaction discovery in machine learning models—0
Error-based Knockoffs Inference for Controlled Feature Selection—0
Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability—0
Feature Importance Guided Attack: A Model Agnostic Adversarial Attack—0
Feature Importance in a Deep Learning Climate Emulator—0
Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection—0
Feature Importance in Pedestrian Intention Prediction: A Context-Aware Review—0
Risk-Adjusted Performance of Random Forest Models in High-Frequency Trading—0
Ensembling improves stability and power of feature selection for deep learning models—0
Feature Importance of Climate Vulnerability Indicators with Gradient Boosting across Five Global Cities—0
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness—0
Feature importance recap and stacking models for forex price prediction—0
Feature importance scores and lossless feature pruning using Banzhaf power indices—0
COVID-19 diagnosis by routine blood tests using machine learning—0
CaliciBoost: Performance-Driven Evaluation of Molecular Representations for Caco-2 Permeability Prediction—0
Crash Severity Risk Modeling Strategies under Data Imbalance—0
Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function—0
Feature Selection for Discovering Distributional Treatment Effect Modifiers—0
Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble—0
Feature Selection via GANs (GANFS): Enhancing Machine Learning Models for DDoS Mitigation—0
Federated unsupervised random forest for privacy-preserving patient stratification—0
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning—0
Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers—0
AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems—0
Enhancing Phishing Detection through Feature Importance Analysis and Explainable AI: A Comparative Study of CatBoost, XGBoost, and EBM Models—0
Building Matters: Spatial Variability in Machine Learning Based Thermal Comfort Prediction in Winters—0
Show:102550
← PrevPage 8 of 18Next →
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