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Feature Importance

Papers

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Showing 351–400 of 890 papers

TitleStatusHype
Machine learning-based identification of Gaia astrometric exoplanet orbitsCode0
SemHARQ: Semantic-Aware HARQ for Multi-task Semantic Communications—0
Automated discovery of symbolic laws governing skill acquisition from naturally occurring dataCode0
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracyCode0
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
Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease—0
Root Causing Prediction Anomalies Using Explainable AI—0
A Novel Hybrid Feature Importance and Feature Interaction Detection Framework for Predictive Optimization in Industry 4.0 Applications—0
Embracing Uncertainty Flexibility: Harnessing a Supervised Tree Kernel to Empower Ensemble Modelling for 2D Echocardiography-Based Prediction of Right Ventricular Volume—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
On the Potential of Network-Based Features for Fraud Detection—0
Statistical and Machine Learning Models for Predicting Fire and Other Emergency Events—0
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal ExplanationCode0
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
Dual feature-based and example-based explanation methodsCode0
Federated unsupervised random forest for privacy-preserving patient stratification—0
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
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis—0
Personalized Decision Supports based on Theory of Mind Modeling and Explainable Reinforcement Learning—0
Anytime Approximate Formal Feature Attribution—0
A novel feature selection framework for incomplete data—0
Class-Discriminative Attention Maps for Vision Transformers—0
Predicting Postoperative Nausea And Vomiting Using Machine Learning: A Model Development and Validation StudyCode0
Enhancing Explainability in Mobility Data Science through a combination of methods—0
Data-Driven Modelling for Harmonic Current Emission in Low-Voltage Grid Using MCReSANet with Interpretability Analysis—0
Towards Auditing Large Language Models: Improving Text-based Stereotype Detection—0
Neural Network Pruning by Gradient DescentCode0
A novel post-hoc explanation comparison metric and applicationsCode0
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution DetectionCode0
Iterative missing value imputation based on feature importance—0
Predicting the First Response Latency of Maintainers and Contributors in Pull Requests—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