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Feature Importance

Papers

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Showing 201–250 of 890 papers

TitleStatusHype
Feature Importance and Explainability in Quantum Machine LearningCode0
Interpretation of machine learning predictions for patient outcomes in electronic health recordsCode0
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for TransformersCode0
Interpreting artificial neural networks to detect genome-wide association signals for complex traitsCode0
A novel stacking framework based on hybrid of gradient boosting-adaptive boosting-multilayer perceptron for crash injury severity prediction and analysisCode0
Interpreting Neural Networks With Nearest NeighborsCode0
Choose Your Explanation: A Comparison of SHAP and GradCAM in Human Activity RecognitionCode0
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization MachineCode0
Feature importance to explain multimodal prediction models. A clinical use caseCode0
I Bet You Did Not Mean That: Testing Semantic Importance via BettingCode0
ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPTCode0
Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT)Code0
AutoLearn - Automated Feature Generation and SelectionCode0
Deep Learning Based Cloud Cover Parameterization for ICONCode0
A novel post-hoc explanation comparison metric and applicationsCode0
Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events ExtractionCode0
DejaVid: Encoder-Agnostic Learned Temporal Matching for Video ClassificationCode0
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift AlgorithmCode0
Automated discovery of symbolic laws governing skill acquisition from naturally occurring dataCode0
AmorProt: Amino Acid Molecular Fingerprints Repurposing based Protein FingerprintCode0
Automated Dynamic Bayesian Networks for Predicting Acute Kidney Injury Before OnsetCode0
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector PredictionsCode0
Explanation by Progressive ExaggerationCode0
Detection of extragalactic Ultra-Compact Dwarfs and Globular Clusters using Explainable AI techniquesCode0
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text ClassificationCode0
A Guide to Feature Importance Methods for Scientific InferenceCode0
Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agentCode0
Meaningful Data Sampling for a Faithful Local Explanation MethodCode0
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting MachineCode0
Towards Automatic Concept-based ExplanationsCode0
A Detailed Study of Interpretability of Deep Neural Network based Top TaggersCode0
Adversarial Mixture Of Experts with Category Hierarchy Soft ConstraintCode0
A novel evaluation methodology for supervised Feature Ranking algorithmsCode0
Model-agnostic variable importance for predictive uncertainty: an entropy-based approachCode0
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input FeaturesCode0
Disentangled Self-Attentive Neural Networks for Click-Through Rate PredictionCode0
Explaining word embeddings with perfect fidelity: Case study in research impact predictionCode0
Distributed and parallel time series feature extraction for industrial big data applicationsCode0
Catalog of quasars from the Kilo-Degree Survey Data Release 3Code0
Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural NetworksCode0
Captum: A unified and generic model interpretability library for PyTorchCode0
Explainable Debugger for Black-box Machine Learning ModelsCode0
Can local explanation techniques explain linear additive models?Code0
Explainable AI through a Democratic Lens: DhondtXAI for Proportional Feature Importance Using the D'Hondt MethodCode0
Neural network interpretability for forecasting of aggregated renewable generationCode0
Dual feature-based and example-based explanation methodsCode0
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal ForecastingCode0
Explaining and visualizing black-box models through counterfactual pathsCode0
OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression DataCode0
Explainability of Machine Learning Models under Missing DataCode0
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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