SOTAVerified

Feature Importance

Papers

Showing 776800 of 890 papers

TitleStatusHype
Statistical Significance of Feature Importance RankingsCode0
DANAA: Towards transferable attacks with double adversarial neuron attributionCode0
Unified Explanations in Machine Learning Models: A Perturbation ApproachCode0
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal ForecastingCode0
Meaningful Data Sampling for a Faithful Local Explanation MethodCode0
Bayesian Importance of Features (BIF)Code0
Benchmarking Perturbation-based Saliency Maps for Explaining Atari AgentsCode0
Feature Importance Measure for Non-linear Learning AlgorithmsCode0
Feature Importance Measurement based on Decision Tree SamplingCode0
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive MapsCode0
CXPlain: Causal Explanations for Model Interpretation under UncertaintyCode0
Whole MILC: generalizing learned dynamics across tasks, datasets, and populationsCode0
Artificial Intelligence Enhanced Rapid and Efficient Diagnosis of Mycoplasma Pneumoniae Pneumonia in Children PatientsCode0
Feature importance to explain multimodal prediction models. A clinical use caseCode0
Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analysesCode0
Feature Responsiveness Scores: Model-Agnostic Explanations for RecourseCode0
Feature Selection and Feature Extraction in Pattern Analysis: A Literature ReviewCode0
MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity PredictionCode0
QuXAI: Explainers for Hybrid Quantum Machine Learning ModelsCode0
RANCC: Rationalizing Neural Networks via Concept ClusteringCode0
Towards Rigorous Interpretations: a Formalisation of Feature AttributionCode0
Unifying local and global model explanations by functional decomposition of low dimensional structuresCode0
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language ModelsCode0
FIMBA: Evaluating the Robustness of AI in Genomics via Feature Importance Adversarial AttacksCode0
XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importanceCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Garson Variable ImportancePearson Correlation0.76Unverified
2VarImpVIANNPearson Correlation0.76Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.6Unverified
2Garson Variable ImportancePearson Correlation0.22Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.86Unverified
2Garson Variable ImportancePearson Correlation0.64Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.83Unverified
2Garson Variable ImportancePearson Correlation0.6Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.9Unverified
2Garson Variable ImportancePearson Correlation0.73Unverified
#ModelMetricClaimedVerifiedStatus
1Garson Variable ImportancePearson Correlation0.74Unverified
2VarImpVIANNPearson Correlation0.41Unverified