SOTAVerified

Feature Importance

Papers

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Showing 401–450 of 890 papers

TitleStatusHype
Uncertainty estimation of machine learning spatial precipitation predictions from satellite data—0
Popularity, face and voice: Predicting and interpreting livestreamers' retail performance using machine learning techniques—0
CrossEAI: Using Explainable AI to generate better bounding boxes for Chest X-ray images—0
End-to-end Feature Selection Approach for Learning Skinny TreesCode0
Hierarchical Ensemble-Based Feature Selection for Time Series Forecasting—0
Inside the black box: Neural network-based real-time prediction of US recessions—0
On the stability, correctness and plausibility of visual explanation methods based on feature importance—0
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case StudyCode0
Handling Missing Values in Local Post-hoc ExplainabilityCode0
On Feature Importance and Interpretability of Speaker Representations—0
Model-agnostic variable importance for predictive uncertainty: an entropy-based approachCode0
Automatic prediction of mortality in patients with mental illness using electronic health records—0
DANAA: Towards transferable attacks with double adversarial neuron attributionCode0
Characterizing climate pathways using feature importance on echo state networks—0
Using Spark Machine Learning Models to Perform Predictive Analysis on Flight Ticket Pricing Data—0
Enhancing Interpretability and Generalizability in Extended Isolation ForestsCode0
LIPEx-Locally Interpretable Probabilistic Explanations-To Look Beyond The True Class—0
Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates—0
Less is More: On the Feature Redundancy of Pretrained Models When Transferring to Few-shot Tasks—0
ML4EJ: Decoding the Role of Urban Features in Shaping Environmental Injustice Using Interpretable Machine Learning—0
Modality-aware Transformer for Financial Time series Forecasting—0
Anomaly Detection in Power Generation Plants with Generative Adversarial Networks—0
Axiomatic Aggregations of Abductive Explanations—0
Tell Me a Story! Narrative-Driven XAI with Large Language ModelsCode0
Machine Learning Based Analytics for the Significance of Gait Analysis in Monitoring and Managing Lower Extremity Injuries—0
Explainable machine learning-based prediction model for diabetic nephropathy—0
Visualizing Topological Importance: A Class-Driven Approach—0
A Hybrid Deep Learning-based Approach for Optimal Genotype by Environment Selection—0
Triple-View Knowledge Distillation for Semi-Supervised Semantic Segmentation—0
Can local explanation techniques explain linear additive models?Code0
Machine Learning Assessment of Damage Grade for Post-Earthquake Buildings: A Three-Stage Approach Directly Handling Categorical FeaturesCode0
TII-SSRC-23 Dataset: Typological Exploration of Diverse Traffic Patterns for Intrusion Detection—0
Causality-Based Feature Importance Quantifying Methods: PN-FI, PS-FI and PNS-FI—0
MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction—0
Predicting Drug Solubility Using Different Machine Learning Methods -- Linear Regression Model with Extracted Chemical Features vs Graph Convolutional Neural Network—0
An interpretable deep learning method for bearing fault diagnosis—0
ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPTCode0
A coupled-mechanisms modelling framework for neurodegeneration—0
Semantic Interpretation and Validation of Graph Attention-based Explanations for GNN Models—0
Feature Importance versus Feature Influence and What It Signifies for Explainable AI—0
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke—0
Confident Feature RankingCode0
Feature Importance Measurement based on Decision Tree SamplingCode0
Turning hazardous volatile matter compounds into fuel by catalytic steam reforming: An evolutionary machine learning approach—0
FairMobi-Net: A Fairness-aware Deep Learning Model for Urban Mobility Flow Generation—0
Beyond Single-Feature Importance with ICECREAM—0
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness—0
Explaining and visualizing black-box models through counterfactual pathsCode0
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations—0
SHAP@k:Efficient and Probably Approximately Correct (PAC) Identification of Top-k Features—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