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Feature Importance

Papers

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Showing 151–200 of 890 papers

TitleStatusHype
Beyond Feature Importance: Feature Interactions in Predicting Post-Stroke Rigidity with Graph Explainable AI—0
FORCE: Feature-Oriented Representation with Clustering and Explanation—0
Machine Learning Reveals Composition Dependent Thermal Stability in Halide Perovskites—0
CFMD: Dynamic Cross-layer Feature Fusion for Salient Object Detection—0
Graph Transformer-Based Flood Susceptibility Mapping: Application to the French Riviera and Railway Infrastructure Under Climate Change—0
How to safely discard features based on aggregate SHAP values—0
Learnable cut flow—0
No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism—0
Multiscale Feature Importance-based Bit Allocation for End-to-End Feature Coding for Machines—0
Does the Appearance of Autonomous Conversational Robots Affect User Spoken Behaviors in Real-World Conference Interactions?—0
Using 3D reconstruction from image motion to predict total leaf area in dwarf tomato plants—0
PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data—0
ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in IndustryCode0
Machine learning algorithms to predict stroke in China based on causal inference of time series analysis—0
Explaining the Unexplainable: A Systematic Review of Explainable AI in Finance—0
Accurate predictive model of band gap with selected important features based on explainable machine learning—0
Enhancing Network Security Management in Water Systems using FM-based Attack Attribution—0
Improving clustering quality evaluation in noisy Gaussian mixtures—0
EXACT-CT: EXplainable Analysis for Crohn's and Tuberculosis using CT—0
An exploration of features to improve the generalisability of fake news detection models—0
Integrating Boosted learning with Differential Evolution (DE) Optimizer: A Prediction of Groundwater Quality Risk Assessment in Odisha—0
Sentiment analysis of texts from social networks based on machine learning methods for monitoring public sentiment—0
TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration—0
Discovering the influence of personal features in psychological processes using Artificial Intelligence techniques: the case of COVID19 lockdown in Spain—0
How does ion temperature gradient turbulence depend on magnetic geometry? Insights from data and machine learning—0
An Efficient Row-Based Sparse Fine-Tuning—0
Towards Transparent and Accurate Plasma State Monitoring at JET—0
High-Throughput Computational Screening and Interpretable Machine Learning of Metal-organic Frameworks for Iodine Capture—0
A Comparative Study of Machine Learning Algorithms for Stock Price Prediction Using Insider Trading Data—0
Exploring Patterns Behind Sports—0
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models—0
Graph machine learning for flight delay prediction due to holding manouverCode0
Dementia Classification Using Acoustic Speech and Feature Selection—0
Molecular Odor Prediction with Harmonic Modulated Feature Mapping and Chemically-Informed Loss—0
Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment—0
Analysis of Zero Day Attack Detection Using MLP and XAI—0
Permutation-based multi-objective evolutionary feature selection for high-dimensional data—0
Explainable AI-aided Feature Selection and Model Reduction for DRL-based V2X Resource Allocation—0
GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease—0
Prediction of Lung Metastasis from Hepatocellular Carcinoma using the SEER DatabaseCode0
Conditional Feature Importance with Generative Modeling Using Adversarial Random ForestsCode0
Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders—0
FORLAPS: An Innovative Data-Driven Reinforcement Learning Approach for Prescriptive Process Monitoring—0
An AI-driven framework for rapid and localized optimizations of urban open spaces—0
COMIX: Compositional Explanations using Prototypes—0
Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data—0
An Explainable Pipeline for Machine Learning with Functional DataCode0
Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analysesCode0
Predicting House Rental Prices in Ghana Using Machine LearningCode0
Explainable Reinforcement Learning for Formula One Race Strategy—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