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Feature Importance

Papers

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Showing 701–750 of 890 papers

TitleStatusHype
BrainMetDetect: Predicting Primary Tumor from Brain Metastasis MRI Data Using Radiomic Features and Machine Learning AlgorithmsCode0
Explainability of Machine Learning Models under Missing DataCode0
Unbiased Measurement of Feature Importance in Tree-Based MethodsCode0
Shapley Chains: Extending Shapley Values to Classifier ChainsCode0
A novel evaluation methodology for supervised Feature Ranking algorithmsCode0
Explainable AI through a Democratic Lens: DhondtXAI for Proportional Feature Importance Using the D'Hondt MethodCode0
Explaining and visualizing black-box models through counterfactual pathsCode0
Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team ScenarioCode0
AutoAtlas: Neural Network for 3D Unsupervised Partitioning and Representation LearningCode0
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for TransformersCode0
Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous CatalysisCode0
Explainable Debugger for Black-box Machine Learning ModelsCode0
BMX: Boosting Natural Language Generation Metrics with ExplainabilityCode0
Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural NetworksCode0
Π-ML: A dimensional analysis-based machine learning parameterization of optical turbulence in the atmospheric surface layerCode0
A Detailed Study of Interpretability of Deep Neural Network based Top TaggersCode0
Disentangling Interactions and Dependencies in Feature AttributionCode0
A tree-based varying coefficient modelCode0
ShaRP: A Novel Feature Importance Framework for RankingCode0
ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in IndustryCode0
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning InterpretationCode0
Disentangled Self-Attentive Neural Networks for Click-Through Rate PredictionCode0
Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agentCode0
A Debiased MDI Feature Importance Measure for Random ForestsCode0
ASDnB: Merging Face with Body Cues For Robust Active Speaker DetectionCode0
Benchmarking Attribution Methods with Relative Feature ImportanceCode0
Towards Better Explanations of Class Activation MappingCode0
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input FeaturesCode0
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason ObjectivesCode0
Predicting House Rental Prices in Ghana Using Machine LearningCode0
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting MachineCode0
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer InformationCode0
Sobolev Independence CriterionCode0
Evaluating Explainability in Machine Learning Predictions through Explainer-Agnostic MetricsCode0
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency MapsCode0
Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud DetectionCode0
BIAS: A Body-based Interpretable Active Speaker ApproachCode0
Detection of extragalactic Ultra-Compact Dwarfs and Globular Clusters using Explainable AI techniquesCode0
Explaining word embeddings with perfect fidelity: Case study in research impact predictionCode0
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector PredictionsCode0
Detecting Quishing Attacks with Machine Learning Techniques Through QR Code AnalysisCode0
Predicting Knowledge Gain for MOOC Video ConsumptionCode0
Explanation by Progressive ExaggerationCode0
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data AugmentationCode0
Predicting Postoperative Nausea And Vomiting Using Machine Learning: A Model Development and Validation StudyCode0
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured DataCode0
MABSplit: Faster Forest Training Using Multi-Armed BanditsCode0
Towards consistency of rule-based explainer and black box model -- fusion of rule induction and XAI-based feature importanceCode0
Predicting Survival of Tongue Cancer Patients by Machine Learning ModelsCode0
Machine Learning Assessment of Damage Grade for Post-Earthquake Buildings: A Three-Stage Approach Directly Handling Categorical FeaturesCode0
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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