SOTAVerified

Feature Importance

Papers

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Showing 251–300 of 890 papers

TitleStatusHype
Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clustering—0
Disentangling Interactions and Dependencies in Feature AttributionCode0
Development and Comparative Analysis of Machine Learning Models for Hypoxemia Severity Triage in CBRNE Emergency Scenarios Using Physiological and Demographic Data from Medical-Grade Devices—0
EEG-based Multimodal Representation Learning for Emotion Recognition—0
Feature Responsiveness Scores: Model-Agnostic Explanations for RecourseCode0
Data-Driven Transient Stability Assessment of Power Systems with a Novel GHM-Enhanced CatBoost Algorithm—0
Omics-driven hybrid dynamic modeling of bioprocesses with uncertainty estimation—0
QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding—0
Mixed Attention Transformer Enhanced Channel Estimation for Extremely Large-Scale MIMO Systems—0
Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability—0
Interpreting Inflammation Prediction Model via Tag-based Cohort Explanation—0
Global Censored Quantile Random Forest—0
A Multi-Task Text Classification Pipeline with Natural Language Explanations: A User-Centric Evaluation in Sentiment Analysis and Offensive Language Identification in Greek Tweets—0
Unlearning-based Neural Interpretations—0
Benchmarking the Fidelity and Utility of Synthetic Relational Data—0
An Approach To Enhance IoT Security In 6G Networks Through Explainable AI—0
Nonparametric IPSS: Fast, flexible feature selection with false discovery controlCode0
Integrating Protein Sequence and Expression Level to Analysis Molecular Characterization of Breast Cancer Subtypes—0
Enhancing End Stage Renal Disease Outcome Prediction: A Multi-Sourced Data-Driven Approach—0
Sufficient and Necessary Explanations (and What Lies in Between)—0
Implementing NLPs in industrial process modeling: Addressing Categorical Variables—0
Random Forest Regression Feature Importance for Climate Impact Pathway Detection—0
Explaining word embeddings with perfect fidelity: Case study in research impact predictionCode0
Generative LLM Powered Conversational AI Application for Personalized Risk Assessment: A Case Study in COVID-19—0
Validity of Feature Importance in Low-Performing Machine Learning for Tabular Biomedical Data—0
Efficient Milling Quality Prediction with Explainable Machine Learning—0
Mapping Biomedical Ontology Terms to IDs: Effect of Domain Prevalence on Prediction Accuracy—0
Feature Importance in Pedestrian Intention Prediction: A Context-Aware Review—0
Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes—0
Leveraging Interpretability in the Transformer to Automate the Proactive Scaling of Cloud Resources—0
Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database—0
From Predictive Importance to Causality: Which Machine Learning Model Reflects Reality?—0
Error-controlled non-additive interaction discovery in machine learning models—0
An Evaluation of Explanation Methods for Black-Box Detectors of Machine-Generated TextCode0
Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations—0
DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation—0
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language ModelsCode0
Approximation of the Proximal Operator of the _ Norm Using a Neural NetworkCode0
Shapley Marginal Surplus for Strong Models—0
Cognitive Networks and Performance Drive fMRI-Based State Classification Using DNN Models—0
A Pipeline for Data-Driven Learning of Topological Features with Applications to Protein Stability Prediction—0
Unveiling the Power of Sparse Neural Networks for Feature SelectionCode0
Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques—0
From Feature Importance to Natural Language Explanations Using LLMs with RAGCode0
Interpreting artificial neural networks to detect genome-wide association signals for complex traitsCode0
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes—0
Forecasting Automotive Supply Chain Shortfalls with Heterogeneous Time Series—0
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks—0
Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agentCode0
Evaluating graph-based explanations for AI-based recommender systems—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