SOTAVerified

Feature Importance

Papers

Showing 150 of 890 papers

TitleStatusHype
Attention is not ExplanationCode3
Inseq: An Interpretability Toolkit for Sequence Generation ModelsCode2
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same EndCode2
OpenFE: Automated Feature Generation with Expert-level PerformanceCode2
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare RecordsCode2
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning ModelsCode2
Going Beyond H&E and Oncology: How Do Histopathology Foundation Models Perform for Multi-stain IHC and Immunology?Code1
Feature Importance-aware Transferable Adversarial AttacksCode1
GraphXAIN: Narratives to Explain Graph Neural NetworksCode1
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?Code1
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data AugmentationCode1
Facial Expression Recognition in the Wild via Deep Attentive Center LossCode1
Feature Importance Ranking for Deep LearningCode1
Group-level Brain Decoding with Deep LearningCode1
Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional BenchmarkCode1
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCsCode1
ControlBurn: Feature Selection by Sparse ForestsCode1
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports DatasetCode1
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernelsCode1
Disentangled Attribution Curves for Interpreting Random Forests and Boosted TreesCode1
Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation ModelsCode1
Efficient nonparametric statistical inference on population feature importance using Shapley valuesCode1
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative GamesCode1
Explaining Time Series Predictions with Dynamic MasksCode1
Counterfactual Shapley Additive ExplanationsCode1
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and ClassificationCode1
Benchmarking Deep Learning Interpretability in Time Series PredictionsCode1
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
CAFO: Feature-Centric Explanation on Time Series ClassificationCode1
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation ModelsCode1
Calibrated Explanations for RegressionCode1
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the CloudCode1
Cards Against AI: Predicting Humor in a Fill-in-the-blank Party GameCode1
agtboost: Adaptive and Automatic Gradient Tree Boosting ComputationsCode1
Compressing Features for Learning with Noisy LabelsCode1
Concept Activation Regions: A Generalized Framework For Concept-Based ExplanationsCode1
A Matlab Toolbox for Feature Importance RankingCode1
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopesCode1
Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG DataCode1
Discretized Integrated Gradients for Explaining Language ModelsCode1
CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous DrivingCode1
A Unified Approach to Interpreting Model PredictionsCode1
E2E-FS: An End-to-End Feature Selection Method for Neural NetworksCode1
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationCode1
Explainable Global Wildfire Prediction Models using Graph Neural NetworksCode1
Explainable Multilayer Graph Neural Network for Cancer Gene PredictionCode1
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic SegmentationCode1
Calibrated Explanations: with Uncertainty Information and CounterfactualsCode1
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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