SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 890 papers

TitleStatusHype
Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database—0
Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment—0
Optimizing Urban Critical Green Space Development Using Machine Learning—0
Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention—0
PaloBoost: An Overfitting-robust TreeBoost with Out-of-Bag Sample Regularization Techniques—0
Parameter Averaging for Feature Ranking—0
Predicting Good Configurations for GitHub and Stack Overflow Topic Models—0
Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time—0
Permutation-based multi-objective evolutionary feature selection for high-dimensional data—0
Personalized Colorectal Cancer Survivability Prediction with Machine Learning Methods—0
Personalized Decision Supports based on Theory of Mind Modeling and Explainable Reinforcement Learning—0
Popularity, face and voice: Predicting and interpreting livestreamers' retail performance using machine learning techniques—0
Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning—0
Predicting change in time production -- A machine learning approach to time perception—0
Predicting Defects in Laser Powder Bed Fusion using in-situ Thermal Imaging Data and Machine Learning—0
Predicting Drug Solubility Using Different Machine Learning Methods -- Linear Regression Model with Extracted Chemical Features vs Graph Convolutional Neural Network—0
Demand Forecasting in Bike-sharing Systems Based on A Multiple Spatiotemporal Fusion Network—0
Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption—0
Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention—0
Breaking the Communities: Characterizing community changing users using text mining and graph machine learning on Twitter—0
Predicting the First Response Latency of Maintainers and Contributors in Pull Requests—0
Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser Powder Bed Fusion Additive Manufacturing—0
Prediction of Enzyme Specificity using Protein Graph Convolutional Neural Networks—0
Predictors of disease outbreaks at continentalscale in the African region: Insights and predictions with geospatial artificial intelligence using earth observations and routine disease surveillance data—0
Privacy Implications of Explainable AI in Data-Driven Systems—0
Probabilistic Load Forecasting via Point Forecast Feature Integration—0
Problems with Shapley-value-based explanations as feature importance measures—0
PV Power Forecasting Using Weighted Features for Enhanced Ensemble Method—0
QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding—0
Random Forest DBSCAN for USPTO Inventor Name Disambiguation—0
Random Forest Regression Feature Importance for Climate Impact Pathway Detection—0
Randomized Ablation Feature Importance—0
Ranking-Based Autoencoder for Extreme Multi-label Classification—0
Rationale production to support clinical decision-making—0
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks—0
Real-World fNIRS-Based Brain-Computer Interfaces: Benchmarking Deep Learning and Classical Models in Interactive Gaming—0
Regional Multi-scale Approach for Visually Pleasing Explanations of Deep Neural Networks—0
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process—0
Representaciones del aprendizaje reutilizando los gradientes de la retropropagacion—0
Novel Machine Learning Approaches for Improving the Reproducibility and Reliability of Functional and Effective Connectivity from Functional MRI—0
Research on Effectiveness Evaluation and Optimization of Baseball Teaching Method Based on Machine Learning—0
Reshaping Smart Energy Transition: An analysis of human-building interactions in Qatar Using Machine Learning Techniques—0
Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability?—0
Retrieval of Boost Invariant Symbolic Observables via Feature Importance—0
Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes—0
Robusta: Robust AutoML for Feature Selection via Reinforcement Learning—0
Topological Descriptors Help Predict Guest Adsorption in Nanoporous Materials—0
Root Causing Prediction Anomalies Using Explainable AI—0
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network—0
Scalable Multi-task Semantic Communication System with Feature Importance Ranking—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.76—Unverified
2Garson Variable ImportancePearson 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