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Feature Importance

Papers

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Showing 751–800 of 890 papers

TitleStatusHype
Whole MILC: generalizing learned dynamics across tasks, datasets, and populationsCode0
Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt—0
Oblique Predictive Clustering TreesCode0
Adversarial Mixture Of Experts with Category Hierarchy Soft ConstraintCode0
Relative Feature ImportanceCode0
Exclusion and Inclusion -- A model agnostic approach to feature importance in DNNsCode0
Graph Neural Networks Including Sparse Interpretability—0
Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances—0
Why Attentions May Not Be Interpretable?—0
X-SHAP: towards multiplicative explainability of Machine Learning—0
Model-agnostic Feature Importance and Effects with Dependent Features -- A Conditional Subgroup ApproachCode0
Using an interpretable Machine Learning approach to study the drivers of International Migration—0
COVID-19 diagnosis by routine blood tests using machine learning—0
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution—0
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency MapsCode0
Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations—0
Identifying Semantically Duplicate Questions Using Data Science Approach: A Quora Case Study—0
Explainable Image Classification with Evidence Counterfactual—0
Unpack Local Model Interpretation for GBDT—0
Surrogate-assisted performance prediction for data-driven knowledge discovery algorithms: application to evolutionary modeling of clinical pathways—0
Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time—0
A copula-based visualization technique for a neural networkCode0
From unbiased MDI Feature Importance to Explainable AI for Trees—0
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications—0
Channel Pruning Guided by Classification Loss and Feature Importance—0
What went wrong and when? Instance-wise Feature Importance for Time-series Models—0
Understanding the Prediction Mechanism of Sentiments by XAI Visualization—0
What Emotions Make One or Five Stars? Understanding Ratings of Online Product Reviews by Sentiment Analysis and XAI—0
Problems with Shapley-value-based explanations as feature importance measures—0
Feature Importance Estimation with Self-Attention Networks—0
Generating Interpretable Poverty Maps using Object Detection in Satellite Images—0
Hyperparameter Optimization for Forecasting Stock Returns—0
¶ILCRO: Making Importance Landscapes Flat Again—0
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach—0
Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified—0
Forecasting Corn Yield with Machine Learning Ensembles—0
Topological Descriptors Help Predict Guest Adsorption in Nanoporous Materials—0
An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection—0
SensAI+Expanse Emotional Valence Prediction Studies with Cognition and Memory Integration—0
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning—0
Learning Deep Attribution Priors Based On Prior Knowledge—0
SensAI+Expanse Adaptation on Human Behaviour Towards Emotional Valence Prediction—0
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and PrognosisCode0
Single Sample Feature Importance: An Interpretable Algorithm for Low-Level Feature Analysis—0
Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder—0
Explanation by Progressive ExaggerationCode0
Sobolev Independence CriterionCode0
Variable Selection with Copula EntropyCode0
CXPlain: Causal Explanations for Model Interpretation under UncertaintyCode0
Self-attention for raw optical Satellite Time Series ClassificationCode0
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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