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Feature Importance

Papers

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Showing 801–850 of 890 papers

TitleStatusHype
Explainable Deep Learning for Augmentation of sRNA Expression Profiles—0
Model-Agnostic Feature Selection with Additional Mutual Information—0
Explaining Time Series by Counterfactuals—0
Measure Contribution of Participants in Federated Learning—0
Classification-Specific Parts for Improving Fine-Grained Visual CategorizationCode0
Explainable Machine Learning in Deployment—0
NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks—0
OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression DataCode0
Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team ScenarioCode0
eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart ChairCode0
Benchmarking Attribution Methods with Relative Feature ImportanceCode0
Spatially-Coupled Neural Network Architectures—0
Graph Neural Network for Interpreting Task-fMRI Biomarkers—0
Learning to Rank Broad and Narrow Queries in E-Commerce—0
A Debiased MDI Feature Importance Measure for Random ForestsCode0
Modeling Severe Traffic Accidents With Spatial And Temporal Features—0
DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis SystemsCode0
Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting—0
Interpreting a Recurrent Neural Network's Predictions of ICU Mortality Risk—0
Computationally Efficient Feature Significance and Importance for Machine Learning ModelsCode0
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate PredictionCode1
Disentangled Attribution Curves for Interpreting Random Forests and Boosted TreesCode1
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization MachineCode0
Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction—0
Interpret Federated Learning with Shapley ValuesCode1
Feature Selection and Feature Extraction in Pattern Analysis: A Literature ReviewCode0
The Role of User Profile for Fake News Detection—0
Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function—0
DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation—0
Ranking-Based Autoencoder for Extreme Multi-label Classification—0
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic InterpretationsCode0
Probabilistic Load Forecasting via Point Forecast Feature Integration—0
Interpretation of machine learning predictions for patient outcomes in electronic health recordsCode0
Unbiased Measurement of Feature Importance in Tree-Based MethodsCode0
Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention—0
Attention is not ExplanationCode3
Stacking with Neural network for Cryptocurrency investment—0
Towards Automatic Concept-based ExplanationsCode0
Effectiveness of LSTMs in Predicting Congestive Heart Failure Onset—0
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning InterpretationCode0
A XGBoost risk model via feature selection and Bayesian hyper-parameter optimization—0
Transfer-Learning Oriented Class Imbalance Learning for Cross-Project Defect Prediction—0
A Large-scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk Assessment—0
Interpretable machine learning: definitions, methods, and applicationsCode1
Personalized Colorectal Cancer Survivability Prediction with Machine Learning Methods—0
User Intent Prediction in Information-seeking ConversationsCode0
LEAFAGE: Example-based and Feature importance-based Explanationsfor Black-box ML models—0
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery—0
Data Strategies for Fleetwide Predictive Maintenance—0
A matching based clustering algorithm for categorical data—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