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Feature Importance

Papers

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Showing 201–250 of 890 papers

TitleStatusHype
Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction—0
Data-driven Prediction of Relevant Scenarios for Robust Combinatorial Optimization—0
Data-Driven Transient Stability Assessment of Power Systems with a Novel GHM-Enhanced CatBoost Algorithm—0
Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders—0
Data Model Design for Explainable Machine Learning-based Electricity Applications—0
Data Strategies for Fleetwide Predictive Maintenance—0
Estimating Sunlight Using GNSS Signal Strength from Smartphone—0
Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement—0
DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation—0
A matching based clustering algorithm for categorical data—0
COMIX: Compositional Explanations using Prototypes—0
Learning Interpretable Characteristic Kernels via Decision Forests—0
Interpreting Criminal Charge Prediction and Its Algorithmic Bias via Quantum-Inspired Complex Valued Networks—0
On The Impact of Merge Request Deviations on Code Review Practices—0
Cognitive Networks and Performance Drive fMRI-Based State Classification Using DNN Models—0
Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified—0
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis—0
Dementia Classification Using Acoustic Speech and Feature Selection—0
Democratizing Evaluation of Deep Model Interpretability through Consensus—0
WheaCha: A Method for Explaining the Predictions of Models of Code—0
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes—0
A Pipeline for Data-Driven Learning of Topological Features with Applications to Protein Stability Prediction—0
Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency—0
A Multi-Head Attention Soft Random Forest for Interpretable Patient No-Show Prediction—0
Development and Comparative Analysis of Machine Learning Models for Hypoxemia Severity Triage in CBRNE Emergency Scenarios Using Physiological and Demographic Data from Medical-Grade Devices—0
PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data—0
Estimating oil recovery factor using machine learning: Applications of XGBoost classification—0
Differential Private Stack Generalization with an Application to Diabetes Prediction—0
Accurate and Robust Feature Importance Estimation under Distribution Shifts—0
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations—0
Discovering the influence of personal features in psychological processes using Artificial Intelligence techniques: the case of COVID19 lockdown in Spain—0
Discrete Deep Feature Extraction: A Theory and New Architectures—0
Evaluating graph-based explanations for AI-based recommender systems—0
Discrimination, calibration, and point estimate accuracy of GRU-D-Weibull architecture for real-time individualized endpoint prediction—0
Cluster-based Feature Importance Learning for Electronic Health Record Time-series—0
An AI-driven framework for rapid and localized optimizations of urban open spaces—0
Anytime Approximate Formal Feature Attribution—0
Explaining Neural Network Predictions for Functional Data Using Principal Component Analysis and Feature Importance—0
Error-based Knockoffs Inference for Controlled Feature Selection—0
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification—0
Does the Appearance of Autonomous Conversational Robots Affect User Spoken Behaviors in Real-World Conference Interactions?—0
Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos—0
AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI—0
DTization: A New Method for Supervised Feature Scaling—0
Error-controlled non-additive interaction discovery in machine learning models—0
Better Model Selection with a new Definition of Feature Importance—0
Dual-Task Graph Neural Network for Joint Seizure Onset Zone Localization and Outcome Prediction using Stereo EEG—0
TractoSCR: A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography—0
EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations—0
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods—0
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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