SOTAVerified

Feature Importance

Papers

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Showing 351–400 of 890 papers

TitleStatusHype
DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation—0
Better Model Selection with a new Definition of Feature Importance—0
DTization: A New Method for Supervised Feature Scaling—0
Analyze Additive and Interaction Effects via Collaborative Trees—0
Does the Appearance of Autonomous Conversational Robots Affect User Spoken Behaviors in Real-World Conference Interactions?—0
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification—0
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability—0
Analysis of Zero Day Attack Detection Using MLP and XAI—0
A Dynamic-Adversarial Mining Approach to the Security of Machine Learning—0
Accurate estimation of feature importance faithfulness for tree models—0
An AI-driven framework for rapid and localized optimizations of urban open spaces—0
Discrimination, calibration, and point estimate accuracy of GRU-D-Weibull architecture for real-time individualized endpoint prediction—0
Axiomatic Aggregations of Abductive Explanations—0
Discrete Deep Feature Extraction: A Theory and New Architectures—0
Discovering the influence of personal features in psychological processes using Artificial Intelligence techniques: the case of COVID19 lockdown in Spain—0
A XGBoost risk model via feature selection and Bayesian hyper-parameter optimization—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
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations—0
Differential Private Stack Generalization with an Application to Diabetes Prediction—0
DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences—0
Automatic prediction of mortality in patients with mental illness using electronic health records—0
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
Automatic Componentwise Boosting: An Interpretable AutoML System—0
Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency—0
A Multi-Head Attention Soft Random Forest for Interpretable Patient No-Show Prediction—0
Accurate and Robust Feature Importance Estimation under Distribution Shifts—0
Correlation vs causation in Alzheimer's disease: an interpretability-driven study—0
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks—0
WheaCha: A Method for Explaining the Predictions of Models of Code—0
Democratizing Evaluation of Deep Model Interpretability through Consensus—0
Dementia Classification Using Acoustic Speech and Feature Selection—0
Deep reinforcement learning with positional context for intraday trading—0
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis—0
A data-driven approach to the forecasting of ground-level ozone concentration—0
Interpreting Criminal Charge Prediction and Its Algorithmic Bias via Quantum-Inspired Complex Valued Networks—0
Learning Interpretable Characteristic Kernels via Decision Forests—0
DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation—0
Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling—0
A matching based clustering algorithm for categorical data—0
Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation—0
Accurate and fast anomaly detection in industrial processes and IoT environments—0
Data Strategies for Fleetwide Predictive Maintenance—0
Data Model Design for Explainable Machine Learning-based Electricity Applications—0
Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders—0
Data-Driven Transient Stability Assessment of Power Systems with a Novel GHM-Enhanced CatBoost Algorithm—0
Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations—0
Data-driven Prediction of Relevant Scenarios for Robust Combinatorial Optimization—0
Data-Driven Modelling for Harmonic Current Emission in Low-Voltage Grid Using MCReSANet with Interpretability Analysis—0
Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods—0
Data-driven advice for interpreting local and global model predictions in bioinformatics problems—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