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Feature Importance

Papers

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Showing 51–100 of 890 papers

TitleStatusHype
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopesCode1
A Matlab Toolbox for Feature Importance RankingCode1
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the CloudCode1
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance ExplanationsCode1
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernelsCode1
Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG DataCode1
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language ConversationsCode1
Temporal Dependencies in Feature Importance for Time Series PredictionsCode1
Disentangled Attribution Curves for Interpreting Random Forests and Boosted TreesCode1
Discretized Integrated Gradients for Explaining Language ModelsCode1
Efficient nonparametric statistical inference on population feature importance using Shapley valuesCode1
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAICode1
E2E-FS: An End-to-End Feature Selection Method for Neural NetworksCode1
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?Code1
A Unified Approach to Interpreting Model PredictionsCode1
Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation ModelsCode1
Explainability and Adversarial Robustness for RNNsCode1
Explainable Global Wildfire Prediction Models using Graph Neural NetworksCode1
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative GamesCode1
Explaining Time Series Predictions with Dynamic MasksCode1
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCsCode1
Benchmarking Deep Learning Interpretability in Time Series PredictionsCode1
agtboost: Adaptive and Automatic Gradient Tree Boosting ComputationsCode1
Feature Importance-aware Transferable Adversarial AttacksCode1
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation ModelsCode1
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate PredictionCode1
CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous DrivingCode1
Group-level Brain Decoding with Deep LearningCode1
Calibrated Explanations: with Uncertainty Information and CounterfactualsCode1
Calibrated Explanations for RegressionCode1
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and ClassificationCode1
Hierarchical interpretations for neural network predictionsCode1
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity NormalizationCode1
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation VectorsCode1
Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature ImportanceCode1
Interpretable machine learning: definitions, methods, and applicationsCode1
Label-Free Explainability for Unsupervised ModelsCode1
Learning to Faithfully Rationalize by ConstructionCode1
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports DatasetCode1
Local Universal Explainer (LUX) -- a rule-based explainer with factual, counterfactual and visual explanationsCode1
Compressing Features for Learning with Noisy LabelsCode1
Multi-View Adaptive Fusion Network for 3D Object DetectionCode1
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationCode1
Concept Activation Regions: A Generalized Framework For Concept-Based ExplanationsCode1
ControlBurn: Feature Selection by Sparse ForestsCode1
Counterfactual Shapley Additive ExplanationsCode1
Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional BenchmarkCode1
Physics Inspired Hybrid Attention for SAR Target RecognitionCode1
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic SegmentationCode1
Understanding Information Processing in Human Brain by Interpreting Machine Learning ModelsCode1
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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