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Feature Importance

Papers

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Showing 201–250 of 890 papers

TitleStatusHype
Classification of cotton water stress using convolutional neural networks and UAV-based RGB imageryCode0
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
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal ExplanationCode0
Interpreting Neural Networks With Nearest NeighborsCode0
Feature Importance and Explainability in Quantum Machine LearningCode0
A novel stacking framework based on hybrid of gradient boosting-adaptive boosting-multilayer perceptron for crash injury severity prediction and analysisCode0
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
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
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
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
A novel post-hoc explanation comparison metric and applicationsCode0
Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events ExtractionCode0
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
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector PredictionsCode0
Explanation by Progressive ExaggerationCode0
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 Guide to Feature Importance Methods for Scientific InferenceCode0
Model-agnostic variable importance for predictive uncertainty: an entropy-based approachCode0
Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agentCode0
Disentangled Self-Attentive Neural Networks for Click-Through Rate PredictionCode0
A novel evaluation methodology for supervised Feature Ranking algorithmsCode0
Distributed and parallel time series feature extraction for industrial big data applicationsCode0
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input FeaturesCode0
Explaining word embeddings with perfect fidelity: Case study in research impact predictionCode0
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
Dual feature-based and example-based explanation methodsCode0
Explainable AI through a Democratic Lens: DhondtXAI for Proportional Feature Importance Using the D'Hondt MethodCode0
Explaining and visualizing black-box models through counterfactual pathsCode0
On Formal Feature Attribution and Its ApproximationCode0
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