SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 476–500 of 890 papers

TitleStatusHype
Structural Knowledge Distillation for Object Detection—0
Study of Feature Importance for Quantum Machine Learning Models—0
Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances—0
Sufficient and Necessary Explanations (and What Lies in Between)—0
Surrogate-assisted performance prediction for data-driven knowledge discovery algorithms: application to evolutionary modeling of clinical pathways—0
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping—0
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions—0
TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration—0
Text Analysis and Automatic Triage of Posts in a Mental Health Forum—0
The impact of feature importance methods on the interpretation of defect classifiers—0
The Role of Explanation Styles and Perceived Accuracy on Decision Making in Predictive Process Monitoring—0
The Role of User Profile for Fake News Detection—0
The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions—0
The Yield Curve as a Recession Leading Indicator. An Application for Gradient Boosting and Random Forest—0
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations—0
TIGTEC : Token Importance Guided TExt Counterfactuals—0
TII-SSRC-23 Dataset: Typological Exploration of Diverse Traffic Patterns for Intrusion Detection—0
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations—0
Topological Data Analysis (TDA) Techniques Enhance Hand Pose Classification from ECoG Neural Recordings—0
To the Most Gracious Highness, from Your Humble Servant: Analysing Swedish 18th Century Petitions Using Text Classification—0
Towards a consistent interpretation of AIOps models—0
Towards a More Reliable Interpretation of Machine Learning Outputs for Safety-Critical Systems using Feature Importance Fusion—0
Towards a Shapley Value Graph Framework for Medical peer-influence—0
Towards Auditing Large Language Models: Improving Text-based Stereotype Detection—0
Reconstructing Actions To Explain Deep Reinforcement Learning—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