SOTAVerified

Feature Importance

Papers

Showing 51100 of 890 papers

TitleStatusHype
DBA: Distributed Backdoor Attacks against Federated LearningCode1
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
Sweetwater: An interpretable and adaptive autoencoder for efficient tissue deconvolutionCode1
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language ConversationsCode1
Text Guide: Improving the quality of long text classification by a text selection method based on feature importanceCode1
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
Discretized Integrated Gradients for Explaining Language ModelsCode1
Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation ModelsCode1
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAICode1
Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional BenchmarkCode1
E2E-FS: An End-to-End Feature Selection Method for Neural NetworksCode1
A Unified Approach to Interpreting Model PredictionsCode1
CAFO: Feature-Centric Explanation on Time Series ClassificationCode1
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?Code1
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCsCode1
Explainable Global Wildfire Prediction Models using Graph Neural NetworksCode1
Explainable Multilayer Graph Neural Network for Cancer Gene PredictionCode1
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation ModelsCode1
Benchmarking Deep Learning Interpretability in Time Series PredictionsCode1
Efficient nonparametric statistical inference on population feature importance using Shapley valuesCode1
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and ClassificationCode1
CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous DrivingCode1
Feature Importance Explanations for Temporal Black-Box ModelsCode1
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate PredictionCode1
fseval: A Benchmarking Framework for Feature Selection and Feature Ranking AlgorithmsCode1
Calibrated Explanations for RegressionCode1
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity NormalizationCode1
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data AugmentationCode1
Calibrated Explanations: with Uncertainty Information and CounterfactualsCode1
Cards Against AI: Predicting Humor in a Fill-in-the-blank Party GameCode1
Reliable Post hoc Explanations: Modeling Uncertainty in ExplainabilityCode1
Grouped Feature Importance and Combined Features Effect PlotCode1
Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature ImportanceCode1
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports DatasetCode1
Joint Shapley values: a measure of joint feature importanceCode1
Learning to Faithfully Rationalize by ConstructionCode1
LFI-CAM: Learning Feature Importance for Better Visual ExplanationCode1
Concept Activation Regions: A Generalized Framework For Concept-Based ExplanationsCode1
Measuring Association Between Labels and Free-Text RationalesCode1
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationCode1
Compressing Features for Learning with Noisy LabelsCode1
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopesCode1
Nonparametric Feature Impact and ImportanceCode1
ControlBurn: Feature Selection by Sparse ForestsCode1
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning ModelsCode1
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 Correlation0.76Unverified
2VarImpVIANNPearson Correlation0.76Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.6Unverified
2Garson Variable ImportancePearson Correlation0.22Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.86Unverified
2Garson Variable ImportancePearson Correlation0.64Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.83Unverified
2Garson Variable ImportancePearson Correlation0.6Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.9Unverified
2Garson Variable ImportancePearson Correlation0.73Unverified
#ModelMetricClaimedVerifiedStatus
1Garson Variable ImportancePearson Correlation0.74Unverified
2VarImpVIANNPearson Correlation0.41Unverified