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Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–350 of 890 papers

TitleStatusHype
Explainability of Machine Learning Models under Missing DataCode0
Catalog of quasars from the Kilo-Degree Survey Data Release 3Code0
A novel evaluation methodology for supervised Feature Ranking algorithmsCode0
Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series ModelsCode0
End-to-end Feature Selection Approach for Learning Skinny TreesCode0
Explaining and visualizing black-box models through counterfactual pathsCode0
BMX: Boosting Natural Language Generation Metrics with ExplainabilityCode0
Feature Importance Measurement based on Decision Tree SamplingCode0
Feature Importance Measure for Non-linear Learning AlgorithmsCode0
FIMBA: Evaluating the Robustness of AI in Genomics via Feature Importance Adversarial AttacksCode0
Elastic Net based Feature Ranking and SelectionCode0
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer InformationCode0
Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural NetworksCode0
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency MapsCode0
A novel post-hoc explanation comparison metric and applicationsCode0
Nonparametric IPSS: Fast, flexible feature selection with false discovery controlCode0
ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPTCode0
MABSplit: Faster Forest Training Using Multi-Armed BanditsCode0
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization MachineCode0
EFI: A Toolbox for Feature Importance Fusion and Interpretation in PythonCode0
Efficient Novelty Detection Methods for Early Warning of Potential Fatal DiseasesCode0
Benchmarking Attribution Methods with Relative Feature ImportanceCode0
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive MapsCode0
Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analysesCode0
Classification of cotton water stress using convolutional neural networks and UAV-based RGB imageryCode0
Adversarial Mixture Of Experts with Category Hierarchy Soft ConstraintCode0
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal ExplanationCode0
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input FeaturesCode0
Classification-Specific Parts for Improving Fine-Grained Visual CategorizationCode0
BIAS: A Body-based Interpretable Active Speaker ApproachCode0
Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting MachinesCode0
Multi-criteria Rank-based Aggregation for Explainable AICode0
Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events ExtractionCode0
Feature Importance and Explainability in Quantum Machine LearningCode0
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example GenerationCode0
Marginal Contribution Feature Importance -- an Axiomatic Approach for The Natural CaseCode0
Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasoundsCode0
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
Effects of heavy metal exposure on hypertension: A machine learning modeling approach—0
Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes—0
Beyond Single-Feature Importance with ICECREAM—0
Effectiveness of LSTMs in Predicting Congestive Heart Failure Onset—0
EEG-based Multimodal Representation Learning for Emotion Recognition—0
Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics—0
EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations—0
Beyond Feature Importance: Feature Interactions in Predicting Post-Stroke Rigidity with Graph Explainable AI—0
Dual-Task Graph Neural Network for Joint Seizure Onset Zone Localization and Outcome Prediction using Stereo EEG—0
Analyzing Domestic Violence through Exploratory Data Analysis and Explainable Ensemble Learning Insights—0
AEFE: Automatic Embedded Feature Engineering for Categorical Features—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