SOTAVerified

Feature Importance

Papers

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Showing 451–475 of 890 papers

TitleStatusHype
Scalable Multi-task Semantic Communication System with Feature Importance Ranking—0
Segment Anything in Pathology Images with Natural Language—0
Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution—0
Semantically-Aware Game Image Quality Assessment—0
Semantic Interpretation and Validation of Graph Attention-based Explanations for GNN Models—0
Semantic match: Debugging feature attribution methods in XAI for healthcare—0
SemHARQ: Semantic-Aware HARQ for Multi-task Semantic Communications—0
Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease—0
SensAI+Expanse Adaptation on Human Behaviour Towards Emotional Valence Prediction—0
SensAI+Expanse Emotional Valence Prediction Studies with Cognition and Memory Integration—0
SentiDrop: A Multi Modal Machine Learning model for Predicting Dropout in Distance Learning—0
Sentiment analysis of texts from social networks based on machine learning methods for monitoring public sentiment—0
SHAP@k:Efficient and Probably Approximately Correct (PAC) Identification of Top-k Features—0
Shapley Marginal Surplus for Strong Models—0
Shapley Residuals: Quantifying the limits of the Shapley value for explanations—0
SIDEs: Separating Idealization from Deceptive Explanations in xAI—0
Similarity of Neural Architectures using Adversarial Attack Transferability—0
Single Sample Feature Importance: An Interpretable Algorithm for Low-Level Feature Analysis—0
S&P 500 Trend Prediction—0
Spatial Association Between Near-Misses and Accident Blackspots in Sydney, Australia: A Getis-Ord G_i^* Analysis—0
Spatially-Coupled Neural Network Architectures—0
Spending Privacy Budget Fairly and Wisely—0
Stacking with Neural network for Cryptocurrency investment—0
Statistical and Machine Learning Models for Predicting Fire and Other Emergency Events—0
STRisk: A Socio-Technical Approach to Assess Hacking Breaches Risk—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.76—Unverified
2Garson Variable ImportancePearson 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