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Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–600 of 890 papers

TitleStatusHype
Attention cannot be an Explanation—0
Evaluation of Feature-based explanations—0
Detection of extragalactic Ultra-Compact Dwarfs and Globular Clusters using Explainable AI techniquesCode0
Deep Learning and Linear Programming for Automated Ensemble Forecasting and InterpretationCode0
Towards a Shapley Value Graph Framework for Medical peer-influence—0
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?—0
AcME -- Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box—0
More Than Words: Towards Better Quality Interpretations of Text Classifiers—0
The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions—0
Deep Learning Based Cloud Cover Parameterization for ICONCode0
Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital—0
A novel stacking framework based on hybrid of gradient boosting-adaptive boosting-multilayer perceptron for crash injury severity prediction and analysisCode0
Predicting Defects in Laser Powder Bed Fusion using in-situ Thermal Imaging Data and Machine Learning—0
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic SegmentationCode1
Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case StudyCode0
Learning to Detect Critical Nodes in Sparse Graphs via Feature Importance Awareness—0
Shapley Residuals: Quantifying the limits of the Shapley value for explanations—0
Hierarchical clustering: visualization, feature importance and model selectionCode0
Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency—0
Asian Giant Hornet Control based on Image Processing and Biological Dispersal—0
Is Shapley Explanation for a model unique?—0
Interpretable Models via Pairwise permutations algorithm—0
Cross-cultural Emotion Classification: the Effect of Emotional Intensity and Acoustic Features—0
Reshaping Smart Energy Transition: An analysis of human-building interactions in Qatar Using Machine Learning Techniques—0
Rationale production to support clinical decision-making—0
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification—0
Scrutinizing XAI using linear ground-truth data with suppressor variablesCode0
Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics—0
A Comparative Study on Machine Learning-based Approaches for Improving Traffic Accident Severity PredictionCode0
Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records—0
A Survey on the Robustness of Feature Importance and Counterfactual Explanations—0
On the explainability of hospitalization prediction on a large COVID-19 patient dataset—0
Counterfactual Shapley Additive ExplanationsCode1
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon SetCode0
ML-Based Analysis to Identify Speech Features Relevant in Predicting Alzheimer's Disease—0
Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasoundsCode0
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach—0
AEFE: Automatic Embedded Feature Engineering for Categorical Features—0
On Predictive Explanation of Data Anomalies—0
Graph convolutional network for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolutionCode0
Lexicon Creation for Interpretable NLP Models—0
Clustering-Based Interpretation of Deep ReLU NetworkCode0
Logic Constraints to Feature Importances—0
Topological Data Analysis (TDA) Techniques Enhance Hand Pose Classification from ECoG Neural Recordings—0
On the Trustworthiness of Tree Ensemble Explainability Methods—0
Interpreting Black-boxes Using Primitive Parameterized Functions—0
Mask and Understand: Evaluating the Importance of Parameters—0
Cluster-based Feature Importance Learning for Electronic Health Record Time-series—0
Towards trustworthy explanations with gradient-based attribution methods—0
Bayesian hierarchical models can infer interpretable predictions of leaf area index from heterogeneous datasetsCode0
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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