SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–500 of 890 papers

TitleStatusHype
Trustworthy Disease Discovery: A Case Study in Alzheimer’s—0
Turning hazardous volatile matter compounds into fuel by catalytic steam reforming: An evolutionary machine learning approach—0
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation—0
Understanding & Predicting User Lifetime with Machine Learning in an Anonymous Location-Based Social Network—0
Understanding the Prediction Mechanism of Sentiments by XAI Visualization—0
Unemployment Dynamics Forecasting with Machine Learning Regression Models—0
Uniform Discretized Integrated Gradients: An effective attribution based method for explaining large language models—0
Unlearning-based Neural Interpretations—0
Unpack Local Model Interpretation for GBDT—0
Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records—0
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals—0
Upscaling Global Hourly GPP with Temporal Fusion Transformer (TFT)—0
Using 3D reconstruction from image motion to predict total leaf area in dwarf tomato plants—0
Using a Local Surrogate Model to Interpret Temporal Shifts in Global Annual Data—0
Using an interpretable Machine Learning approach to study the drivers of International Migration—0
Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality—0
Using Spark Machine Learning Models to Perform Predictive Analysis on Flight Ticket Pricing Data—0
Using Spatio-temporal Deep Learning for Forecasting Demand and Supply-demand Gap in Ride-hailing System with Anonymised Spatial Adjacency Information—0
Validity of Feature Importance in Low-Performing Machine Learning for Tabular Biomedical Data—0
Variable Importance Using Decision Trees—0
Visual Error Patterns in Multi-Modal AI: A Statistical Approach—0
Visualizing Topological Importance: A Class-Driven Approach—0
VoxelNextFusion: A Simple, Unified and Effective Voxel Fusion Framework for Multi-Modal 3D Object Detection—0
VR Based Emotion Recognition Using Deep Multimodal Fusion With Biosignals Across Multiple Anatomical Domains—0
Wavelet Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types—0
Website fingerprinting on early QUIC traffic—0
What Emotions Make One or Five Stars? Understanding Ratings of Online Product Reviews by Sentiment Analysis and XAI—0
What went wrong and when? Instance-wise Feature Importance for Time-series Models—0
What went wrong and when?\\ Instance-wise feature importance for time-series black-box models—0
When a CBR in Hand is Better than Twins in the Bush—0
Mapping Biomedical Ontology Terms to IDs: Effect of Domain Prevalence on Prediction Accuracy—0
Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study—0
Which is the best model for my data?—0
Which products activate a product? An explainable machine learning approach—0
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal—0
Why Attentions May Not Be Interpretable?—0
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification—0
XAI-Guided Enhancement of Vegetation Indices for Crop Mapping—0
Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach—0
X-SHAP: towards multiplicative explainability of Machine Learning—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
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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