SOTAVerified

Feature Importance

Papers

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Showing 451–500 of 890 papers

TitleStatusHype
Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention—0
On Formal Feature Attribution and Its ApproximationCode0
Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability ConnectionCode0
Grad-FEC: Unequal Loss Protection of Deep Features in Collaborative Intelligence—0
Explainability is NOT a Game—0
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods—0
Retrieval of Boost Invariant Symbolic Observables via Feature Importance—0
Upscaling Global Hourly GPP with Temporal Fusion Transformer (TFT)—0
XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importanceCode0
Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes—0
Calculating and Visualizing Counterfactual Feature Importance ValuesCode0
Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events ExtractionCode0
Effects of heavy metal exposure on hypertension: A machine learning modeling approach—0
Interpretable Multimodal Emotion Recognition using Facial Features and Physiological Signals—0
Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production—0
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive MapsCode0
When a CBR in Hand is Better than Twins in the Bush—0
FAST: Feature Arrangement for Semantic Transmission—0
Interpreting Deep Forest through Feature Contribution and MDI Feature Importance—0
EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations—0
On Pitfalls of RemOve-And-Retrain: Data Processing Inequality PerspectiveCode0
TIGTEC : Token Importance Guided TExt Counterfactuals—0
Π-ML: A dimensional analysis-based machine learning parameterization of optical turbulence in the atmospheric surface layerCode0
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
LEURN: Learning Explainable Univariate Rules with Neural Networks—0
AmorProt: Amino Acid Molecular Fingerprints Repurposing based Protein FingerprintCode0
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
Feature Importance Disparities for Data Bias InvestigationsCode0
Area of interest adaption using feature importance—0
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
Evaluating Explainability in Machine Learning Predictions through Explainer-Agnostic MetricsCode0
Variable Importance Matching for Causal InferenceCode0
A Comparison of Modeling Preprocessing Techniques—0
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning—0
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations—0
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
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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