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Feature Importance

Papers

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Showing 651–700 of 890 papers

TitleStatusHype
Class-Discriminative Attention Maps for Vision Transformers—0
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods—0
Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos—0
Cluster-based Feature Importance Learning for Electronic Health Record Time-series—0
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes—0
Cognitive Networks and Performance Drive fMRI-Based State Classification Using DNN Models—0
COMIX: Compositional Explanations using Prototypes—0
Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement—0
Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction—0
Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification—0
Computational analysis of pathological image enables interpretable prediction for microsatellite instability—0
Continual Deterioration Prediction for Hospitalized COVID-19 Patients—0
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients—0
Towards Cooperative Flight Control Using Visual-Attention—0
Regularizing Explanations in Bayesian Convolutional Neural Networks—0
Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt—0
COVID-19 diagnosis by routine blood tests using machine learning—0
Crash Severity Risk Modeling Strategies under Data Imbalance—0
Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function—0
Cross-cultural Emotion Classification: the Effect of Emotional Intensity and Acoustic Features—0
CrossEAI: Using Explainable AI to generate better bounding boxes for Chest X-ray images—0
Data-driven advice for interpreting local and global model predictions in bioinformatics problems—0
Data-Driven Modelling for Harmonic Current Emission in Low-Voltage Grid Using MCReSANet with Interpretability Analysis—0
Data-driven Prediction of Relevant Scenarios for Robust Combinatorial Optimization—0
Data-Driven Transient Stability Assessment of Power Systems with a Novel GHM-Enhanced CatBoost Algorithm—0
Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders—0
Data Model Design for Explainable Machine Learning-based Electricity Applications—0
Data Strategies for Fleetwide Predictive Maintenance—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
DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation—0
Learning Interpretable Characteristic Kernels via Decision Forests—0
Interpreting Criminal Charge Prediction and Its Algorithmic Bias via Quantum-Inspired Complex Valued Networks—0
Deep reinforcement learning with positional context for intraday trading—0
Dementia Classification Using Acoustic Speech and Feature Selection—0
Democratizing Evaluation of Deep Model Interpretability through Consensus—0
WheaCha: A Method for Explaining the Predictions of Models of Code—0
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks—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
DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences—0
Differential Private Stack Generalization with an Application to Diabetes Prediction—0
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations—0
Discovering the influence of personal features in psychological processes using Artificial Intelligence techniques: the case of COVID19 lockdown in Spain—0
Discrete Deep Feature Extraction: A Theory and New Architectures—0
Discrimination, calibration, and point estimate accuracy of GRU-D-Weibull architecture for real-time individualized endpoint prediction—0
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification—0
Does the Appearance of Autonomous Conversational Robots Affect User Spoken Behaviors in Real-World Conference Interactions?—0
DTization: A New Method for Supervised Feature Scaling—0
DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation—0
Dual-Task Graph Neural Network for Joint Seizure Onset Zone Localization and Outcome Prediction using Stereo EEG—0
EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations—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