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Decision Making

Papers

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Showing 4751–4775 of 12311 papers

TitleStatusHype
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features—0
Explaining the Explainer: A First Theoretical Analysis of LIME—0
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks—0
Causal machine learning for predicting treatment outcomes—0
Explaining versus Describing Human Decisions. Hilbert Space Structures in Decision Theory—0
Explaining with Greater Support: Weighted Column Sampling Optimization for q-Consistent Summary-Explanations—0
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms—0
Causal Markov Decision Processes: Learning Good Interventions Efficiently—0
Fair Classifiers that Abstain without Harm—0
Causal Models Applied to the Patterns of Human Migration due to Climate Change—0
Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Prediction—0
Explanation, Debate, Align: A Weak-to-Strong Framework for Language Model Generalization—0
FAIR Data Pipeline: provenance-driven data management for traceable scientific workflows—0
Explanation for Trajectory Planning using Multi-modal Large Language Model for Autonomous Driving—0
Explanation of Face Recognition via Saliency Maps—0
Explanation of Machine Learning Models of Colon Cancer Using SHAP Considering Interaction Effects—0
Estimating Link Flows in Road Networks with Synthetic Trajectory Data Generation: Reinforcement Learning-based Approaches—0
Topology Learning of unknown Networked Linear Dynamical System excited by Cyclostationary inputs—0
Explanations Can Reduce Overreliance on AI Systems During Decision-Making—0
Explanation User Interfaces: A Systematic Literature Review—0
Causal Relational Learning—0
Explicating feature contribution using Random Forest proximity distances—0
Explicit Alignment and Many-to-many Entailment Based Reasoning for Conversational Machine Reading—0
Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences—0
Buy when? Survival machine learning model comparison for purchase timing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified