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Feature Importance

Papers

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Showing 501–550 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
A Framework for Constructing Machine Learning Models with Feature Set Optimisation for Evapotranspiration Partitioning—0
Spending Privacy Budget Fairly and Wisely—0
On Machine Learning-Driven Surrogates for Sound Transmission Loss SimulationsCode0
Ultra-marginal Feature Importance: Learning from Data with Causal GuaranteesCode0
Data-driven Prediction of Relevant Scenarios for Robust Combinatorial Optimization—0
On Understanding the Influence of Controllable Factors with a Feature Attribution Algorithm: a Medical Case Study—0
Auto-Gait: Automatic Ataxia Risk Assessment with Computer Vision on Gait Task VideosCode0
The Yield Curve as a Recession Leading Indicator. An Application for Gradient Boosting and Random Forest—0
Ranking Social Media News Feeds: A Comparative Study of Personalized and Non-personalized Prediction ModelsCode0
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?Code1
Error-based Knockoffs Inference for Controlled Feature Selection—0
Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging dataCode0
Evaluating Local Model-Agnostic Explanations of Learning to Rank Models with Decision Paths—0
Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning—0
Label-Free Explainability for Unsupervised ModelsCode1
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data—0
MUC-driven Feature Importance Measurement and Adversarial Analysis for Random Forest—0
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations—0
Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responsesCode1
Study of Feature Importance for Quantum Machine Learning Models—0
Towards a consistent interpretation of AIOps models—0
The impact of feature importance methods on the interpretation of defect classifiers—0
Novel Machine Learning Approaches for Improving the Reproducibility and Reliability of Functional and Effective Connectivity from Functional MRI—0
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative GamesCode1
Rethinking Attention-Model Explainability through Faithfulness Violation TestCode1
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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