SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–525 of 890 papers

TitleStatusHype
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative ModelsCode0
FACT: High-Dimensional Random Forests Inference—0
Comparing Feature Importance and Rule Extraction for Interpretability on Text DataCode0
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCsCode1
Building Matters: Spatial Variability in Machine Learning Based Thermal Comfort Prediction in Winters—0
Compressing Features for Learning with Noisy LabelsCode1
STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm ComparisonCode1
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models—0
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason ObjectivesCode0
Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches—0
Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation—0
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability—0
Inherent Inconsistencies of Feature Importance—0
Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional BenchmarkCode1
Robust Semantic Communications with Masked VQ-VAE Enabled CodebookCode1
Towards Responsible AI for Financial Transactions—0
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and Powerful Approach Using Minipatch Ensembles—0
An Annotated Corpus of Textual Explanations for Clinical Decision SupportCode0
Feature Selection for Discovering Distributional Treatment Effect Modifiers—0
Group-level Brain Decoding with Deep LearningCode1
How explainable are adversarially-robust CNNs?—0
Unsupervised Features Ranking via Coalitional Game Theory for Categorical DataCode0
Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections—0
Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisationCode0
Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG DataCode1
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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