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Feature Importance

Papers

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Showing 401–450 of 890 papers

TitleStatusHype
Automated Dynamic Bayesian Networks for Predicting Acute Kidney Injury Before OnsetCode0
Scalable Multi-task Semantic Communication System with Feature Importance Ranking—0
Interpretable Multi Labeled Bengali Toxic Comments Classification using Deep LearningCode0
ECG Feature Importance Rankings: Cardiologists vs. AlgorithmsCode0
Shapley Chains: Extending Shapley Values to Classifier ChainsCode0
Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning—0
Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser Powder Bed Fusion Additive Manufacturing—0
AmorProt: Amino Acid Molecular Fingerprints Repurposing based Protein FingerprintCode0
LEURN: Learning Explainable Univariate Rules with Neural Networks—0
Interpretable machine learning for time-to-event prediction in medicine and healthcareCode1
EGFR mutation prediction using F18-FDG PET-CT based radiomics features in non-small cell lung cancer—0
Feature Importance: A Closer Look at Shapley Values and LOCO—0
Area of interest adaption using feature importance—0
Feature Importance Disparities for Data Bias InvestigationsCode0
A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression—0
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams—0
Inseq: An Interpretability Toolkit for Sequence Generation ModelsCode2
A Comparison of Modeling Preprocessing Techniques—0
Variable Importance Matching for Causal InferenceCode0
Evaluating Explainability in Machine Learning Predictions through Explainer-Agnostic MetricsCode0
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations—0
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning—0
SurvLIMEpy: A Python package implementing SurvLIMECode1
Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales—0
Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality—0
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape—0
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions—0
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal—0
Tree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification—0
Numeracy from Literacy: Data Science as an Emergent Skill from Large Language Models—0
Improved Bitcoin Price Prediction based on COVID-19 data—0
Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution—0
Explainable Multilayer Graph Neural Network for Cancer Gene PredictionCode1
Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up datasetCode0
The Berkelmans-Pries Feature Importance Method: A Generic Measure of Informativeness of FeaturesCode0
Semantic match: Debugging feature attribution methods in XAI for healthcare—0
Instance-based Explanations for Gradient Boosting Machine Predictions with AXIL WeightsCode0
Predicting traffic crash severity using hybrid of balanced bagging classification and light gradient boosting machineCode0
Predicting Survival of Tongue Cancer Patients by Machine Learning ModelsCode0
Towards Cooperative Flight Control Using Visual-Attention—0
BMX: Boosting Natural Language Generation Metrics with ExplainabilityCode0
Discrimination, calibration, and point estimate accuracy of GRU-D-Weibull architecture for real-time individualized endpoint prediction—0
MABSplit: Faster Forest Training Using Multi-Armed BanditsCode0
Predicting Knowledge Gain for MOOC Video ConsumptionCode0
Which products activate a product? An explainable machine learning approach—0
LatentSwap3D: Semantic Edits on 3D Image GANs—0
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal ForecastingCode0
fseval: A Benchmarking Framework for Feature Selection and Feature Ranking AlgorithmsCode1
Structural Knowledge Distillation for Object Detection—0
OpenFE: Automated Feature Generation with Expert-level PerformanceCode2
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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