SOTAVerified

Feature Importance

Papers

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Showing 701–750 of 890 papers

TitleStatusHype
EEG-based Multimodal Representation Learning for Emotion Recognition—0
Effectiveness of LSTMs in Predicting Congestive Heart Failure Onset—0
Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes—0
Effects of heavy metal exposure on hypertension: A machine learning modeling approach—0
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery—0
Efficient Milling Quality Prediction with Explainable Machine Learning—0
EGFR mutation prediction using F18-FDG PET-CT based radiomics features in non-small cell lung cancer—0
Embedded methods for feature selection in neural networks—0
Multi-LLM QA with Embodied Exploration—0
Embracing Uncertainty Flexibility: Harnessing a Supervised Tree Kernel to Empower Ensemble Modelling for 2D Echocardiography-Based Prediction of Right Ventricular Volume—0
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space—0
Enhancing End Stage Renal Disease Outcome Prediction: A Multi-Sourced Data-Driven Approach—0
Enhancing Explainability in Mobility Data Science through a combination of methods—0
Enhancing Network Security Management in Water Systems using FM-based Attack Attribution—0
Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clustering—0
Enhancing Phishing Detection through Feature Importance Analysis and Explainable AI: A Comparative Study of CatBoost, XGBoost, and EBM Models—0
Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers—0
Ensembling improves stability and power of feature selection for deep learning models—0
Error-based Knockoffs Inference for Controlled Feature Selection—0
Error-controlled non-additive interaction discovery in machine learning models—0
Estimate the building height at a 10-meter resolution based on Sentinel data—0
Estimating oil recovery factor using machine learning: Applications of XGBoost classification—0
Estimating Sunlight Using GNSS Signal Strength from Smartphone—0
Evaluating graph-based explanations for AI-based recommender systems—0
Evaluating Local Model-Agnostic Explanations of Learning to Rank Models with Decision Paths—0
Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment—0
Evaluating the Correctness of Explainable AI Algorithms for Classification—0
Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru—0
Evaluation of Feature-based explanations—0
Evaluating Local Explanations using White-box Models—0
Examining Uniqueness and Permanence of the WAY EEG GAL dataset toward User Authentication—0
LEAFAGE: Example-based and Feature importance-based Explanationsfor Black-box ML models—0
Explainability is NOT a Game—0
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing—0
Explainable AI-aided Feature Selection and Model Reduction for DRL-based V2X Resource Allocation—0
Explainable AI for Fair Sepsis Mortality Predictive Model—0
Explainable AI without Interpretable Model—0
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?—0
Shapley values for cluster importance: How clusters of the training data affect a prediction—0
Explainable Deep Belief Network based Auto encoder using novel Extended Garson Algorithm—0
Explainable Deep Learning for Augmentation of sRNA Expression Profiles—0
Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation—0
Explainable Image Classification with Evidence Counterfactual—0
Explainable machine learning-based prediction model for diabetic nephropathy—0
Explainable Machine Learning in Deployment—0
Explainable Machine Learning System for Predicting Chronic Kidney Disease in High-Risk Cardiovascular Patients—0
Explainable Reinforcement Learning for Formula One Race Strategy—0
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy—0
Explainable Unsupervised Anomaly Detection with Random Forest—0
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition—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