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Feature Importance

Papers

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Showing 501–550 of 890 papers

TitleStatusHype
Improved Bitcoin Price Prediction based on COVID-19 data—0
Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution—0
Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up datasetCode0
The Berkelmans-Pries Feature Importance Method: A Generic Measure of Informativeness of FeaturesCode0
Semantic match: Debugging feature attribution methods in XAI for healthcare—0
Instance-based Explanations for Gradient Boosting Machine Predictions with AXIL WeightsCode0
Predicting traffic crash severity using hybrid of balanced bagging classification and light gradient boosting machineCode0
Predicting Survival of Tongue Cancer Patients by Machine Learning ModelsCode0
Towards Cooperative Flight Control Using Visual-Attention—0
BMX: Boosting Natural Language Generation Metrics with ExplainabilityCode0
Discrimination, calibration, and point estimate accuracy of GRU-D-Weibull architecture for real-time individualized endpoint prediction—0
MABSplit: Faster Forest Training Using Multi-Armed BanditsCode0
Predicting Knowledge Gain for MOOC Video ConsumptionCode0
Which products activate a product? An explainable machine learning approach—0
LatentSwap3D: Semantic Edits on 3D Image GANs—0
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal ForecastingCode0
Structural Knowledge Distillation for Object Detection—0
Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction—0
Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection—0
Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement—0
Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach—0
Estimating oil recovery factor using machine learning: Applications of XGBoost classification—0
Which is the best model for my data?—0
Abstract Interpretation-Based Feature Importance for SVMs—0
Greedy Modality Selection via Approximate Submodular Maximization—0
Similarity of Neural Architectures using Adversarial Attack Transferability—0
Linear Video Transformer with Feature Fixation—0
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based MethodsCode0
TractoSCR: A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography—0
A Detailed Study of Interpretability of Deep Neural Network based Top TaggersCode0
Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series ModelsCode0
Conditional Feature Importance for Mixed DataCode0
Feature Importance for Time Series Data: Improving KernelSHAP—0
Ensembling improves stability and power of feature selection for deep learning models—0
To the Most Gracious Highness, from Your Humble Servant: Analysing Swedish 18th Century Petitions Using Text Classification—0
Sequential Attention for Feature SelectionCode0
Variance Tolerance Factors For Interpreting ALL Neural NetworksCode0
An Attention Matrix for Every Decision: Faithfulness-based Arbitration Among Multiple Attention-Based Interpretations of Transformers in Text Classification—0
Algorithm-Agnostic Interpretations for Clustering—0
Low-cost machine learning approach to the prediction of transition metal phosphor excited state properties—0
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network—0
Examining Uniqueness and Permanence of the WAY EEG GAL dataset toward User Authentication—0
Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams—0
A Case Study on the Classification of Lost Circulation Events During Drilling using Machine Learning Techniques on an Imbalanced Large Dataset—0
Machine Learning Models Evaluation and Feature Importance Analysis on NPL Dataset—0
Learning to predict test effectiveness—0
An ensemble meta-estimator to predict source code testabilityCode0
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks—0
Unifying local and global model explanations by functional decomposition of low dimensional structuresCode0
Estimating Sunlight Using GNSS Signal Strength from Smartphone—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