SOTAVerified

Feature Importance

Papers

Showing 676700 of 890 papers

TitleStatusHype
Democratizing Evaluation of Deep Model Interpretability through Consensus0
On the Discovery of Feature Importance Distribution: An Overlooked AreaCode0
Prediction of Enzyme Specificity using Protein Graph Convolutional Neural Networks0
Elastic Net based Feature Ranking and SelectionCode0
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial LearningCode1
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift AlgorithmCode0
Using Spatio-temporal Deep Learning for Forecasting Demand and Supply-demand Gap in Ride-hailing System with Anonymised Spatial Adjacency Information0
E2E-FS: An End-to-End Feature Selection Method for Neural NetworksCode1
Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded ApproachCode0
Shapley values for cluster importance: How clusters of the training data affect a prediction0
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous SensorsCode0
Representaciones del aprendizaje reutilizando los gradientes de la retropropagacion0
Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research0
A Linguistic Perspective on Reference: Choosing a Feature Set for Generating Referring Expressions in Context0
RANCC: Rationalizing Neural Networks via Concept ClusteringCode0
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for AutoencodersCode1
What went wrong and when?\\ Instance-wise feature importance for time-series black-box models0
TimeSHAP: Explaining Recurrent Models through Sequence PerturbationsCode1
FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning0
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same EndCode2
Multi-View Adaptive Fusion Network for 3D Object DetectionCode1
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports DatasetCode1
AutoAtlas: Neural Network for 3D Unsupervised Partitioning and Representation LearningCode0
Shapley Flow: A Graph-based Approach to Interpreting Model PredictionsCode1
Bayesian Importance of Features (BIF)Code0
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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