SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 890 papers

TitleStatusHype
Towards Transparent and Accurate Plasma State Monitoring at JET—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
Prediction of Lung Metastasis from Hepatocellular Carcinoma using the SEER DatabaseCode0
GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease—0
Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders—0
Conditional Feature Importance with Generative Modeling Using Adversarial Random ForestsCode0
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
An Explainable Pipeline for Machine Learning with Functional DataCode0
Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data—0
COMIX: Compositional Explanations using Prototypes—0
Predicting House Rental Prices in Ghana Using Machine LearningCode0
Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analysesCode0
Explainable Reinforcement Learning for Formula One Race Strategy—0
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy—0
Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text—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