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Feature Importance

Papers

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Showing 151–200 of 890 papers

TitleStatusHype
A Case Study on the Classification of Lost Circulation Events During Drilling using Machine Learning Techniques on an Imbalanced Large Dataset—0
A Survey on the Robustness of Feature Importance and Counterfactual Explanations—0
Effectiveness of LSTMs in Predicting Congestive Heart Failure Onset—0
Assets Forecasting with Feature Engineering and Transformation Methods for LightGBM—0
Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations—0
A coupled-mechanisms modelling framework for neurodegeneration—0
Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes—0
Efficient Milling Quality Prediction with Explainable Machine Learning—0
Enhancing Explainability in Mobility Data Science through a combination of methods—0
Estimating oil recovery factor using machine learning: Applications of XGBoost classification—0
Assessing high-order effects in feature importance via predictability decomposition—0
Towards Cooperative Flight Control Using Visual-Attention—0
DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation—0
Asian Giant Hornet Control based on Image Processing and Biological Dispersal—0
A Linguistic Perspective on Reference: Choosing a Feature Set for Generating Referring Expressions in Context—0
DTization: A New Method for Supervised Feature Scaling—0
Dual-Task Graph Neural Network for Joint Seizure Onset Zone Localization and Outcome Prediction using Stereo EEG—0
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification—0
A Comparison of Modeling Preprocessing Techniques—0
Does the Appearance of Autonomous Conversational Robots Affect User Spoken Behaviors in Real-World Conference Interactions?—0
EXACT-CT: EXplainable Analysis for Crohn's and Tuberculosis using CT—0
Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder—0
Algorithm-Agnostic Interpretations for Clustering—0
Discrimination, calibration, and point estimate accuracy of GRU-D-Weibull architecture for real-time individualized endpoint prediction—0
Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification—0
Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction—0
Computational analysis of pathological image enables interpretable prediction for microsatellite instability—0
Area of interest adaption using feature importance—0
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations—0
Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting—0
Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales—0
Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement—0
COMIX: Compositional Explanations using Prototypes—0
Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning—0
Continual Deterioration Prediction for Hospitalized COVID-19 Patients—0
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients—0
On The Impact of Merge Request Deviations on Code Review Practices—0
Discovering the influence of personal features in psychological processes using Artificial Intelligence techniques: the case of COVID19 lockdown in Spain—0
Regularizing Explanations in Bayesian Convolutional Neural Networks—0
Risk-Adjusted Performance of Random Forest Models in High-Frequency Trading—0
Cognitive Networks and Performance Drive fMRI-Based State Classification Using DNN Models—0
Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt—0
COVID-19 diagnosis by routine blood tests using machine learning—0
Crash Severity Risk Modeling Strategies under Data Imbalance—0
Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function—0
Cross-cultural Emotion Classification: the Effect of Emotional Intensity and Acoustic Features—0
CrossEAI: Using Explainable AI to generate better bounding boxes for Chest X-ray images—0
AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems—0
Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified—0
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes—0
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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