SOTAVerified

Feature Importance

Papers

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Showing 251–300 of 890 papers

TitleStatusHype
Fiper: a Visual-based Explanation Combining Rules and Feature Importance—0
SIDEs: Separating Idealization from Deceptive Explanations in xAI—0
MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception—0
Capturing Momentum: Tennis Match Analysis Using Machine Learning and Time Series Theory—0
Explainable AI for Fair Sepsis Mortality Predictive Model—0
A Guide to Feature Importance Methods for Scientific InferenceCode0
Using a Local Surrogate Model to Interpret Temporal Shifts in Global Annual Data—0
Explainable Machine Learning System for Predicting Chronic Kidney Disease in High-Risk Cardiovascular Patients—0
CAGE: Causality-Aware Shapley Value for Global Explanations—0
Interaction as Explanation: A User Interaction-based Method for Explaining Image Classification Models—0
Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision dataCode0
Machine learning-based identification of Gaia astrometric exoplanet orbitsCode0
SemHARQ: Semantic-Aware HARQ for Multi-task Semantic Communications—0
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracyCode0
Automated discovery of symbolic laws governing skill acquisition from naturally occurring dataCode0
Accurate estimation of feature importance faithfulness for tree models—0
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting—0
Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences—0
Analyzing Domestic Violence through Exploratory Data Analysis and Explainable Ensemble Learning Insights—0
Interpretable Machine Learning for Survival AnalysisCode0
Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation ModelsCode1
Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease—0
Embracing Uncertainty Flexibility: Harnessing a Supervised Tree Kernel to Empower Ensemble Modelling for 2D Echocardiography-Based Prediction of Right Ventricular Volume—0
A Novel Hybrid Feature Importance and Feature Interaction Detection Framework for Predictive Optimization in Industry 4.0 Applications—0
Root Causing Prediction Anomalies Using Explainable AI—0
AcME-AD: Accelerated Model Explanations for Anomaly Detection—0
MoodCapture: Depression Detection Using In-the-Wild Smartphone Images—0
Machine Learning Reveals Large-scale Impact of Posidonia Oceanica on Mediterranean Sea WaterCode0
Statistical and Machine Learning Models for Predicting Fire and Other Emergency Events—0
On the Potential of Network-Based Features for Fraud Detection—0
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal ExplanationCode0
Explainable Global Wildfire Prediction Models using Graph Neural NetworksCode1
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting MachineCode0
Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting MachinesCode0
Classification of cotton water stress using convolutional neural networks and UAV-based RGB imageryCode0
Wavelet Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types—0
ShaRP: A Novel Feature Importance Framework for RankingCode0
Federated unsupervised random forest for privacy-preserving patient stratification—0
Dual feature-based and example-based explanation methodsCode0
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopesCode1
Statistical Significance of Feature Importance RankingsCode0
Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru—0
Solving Offline Reinforcement Learning with Decision Tree RegressionCode0
AFS-BM: Enhancing Model Performance through Adaptive Feature Selection with Binary MaskingCode0
FIMBA: Evaluating the Robustness of AI in Genomics via Feature Importance Adversarial AttacksCode0
A tree-based varying coefficient modelCode0
VoxelNextFusion: A Simple, Unified and Effective Voxel Fusion Framework for Multi-Modal 3D Object Detection—0
KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI—0
Improving the Accuracy and Interpretability of Neural Networks for Wind Power Forecasting—0
CGS-Mask: Making Time Series Predictions Intuitive for All—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