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Decision Making

Papers

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Showing 3301–3350 of 12311 papers

TitleStatusHype
Underspecified Human Decision Experiments Considered Harmful—0
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents—0
Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models—0
Decision Tree Psychological Risk Assessment in Currency Trading—0
Claims on demand -- an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora—0
Decision Trees for Helpdesk Advisor Graphs—0
Decline of long-range temporal correlations in the human brain during sustained wakefulness—0
DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models—0
Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in AI-assisted Decision Making—0
Decoding Decision Reasoning: A Counterfactual-Powered Model for Knowledge Discovery—0
A Predictive Model using Machine Learning Algorithm in Identifying Students Probability on Passing Semestral Course—0
Decoding SEC Actions: Enforcement Trends through Analyzing Blockchain litigation using LLM-based Thematic Factor Mapping—0
Defect Localization Using Region of Interest and Histogram-Based Enhancement Approaches in 3D-Printing—0
Decoding the mechanisms underlying cell-fate decision-making during stem cell differentiation by Random Circuit Perturbation—0
A predictive model for kidney transplant graft survival using machine learning—0
Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models—0
Augmenting Decision Making via Interactive What-If Analysis—0
Decom--CAM: Tell Me What You See, In Details! Feature-Level Interpretation via Decomposition Class Activation Map—0
Data-Driven Bayesian Network Models of Hurricane Evacuation Decision Making—0
Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs—0
Decomposing Counterfactual Explanations for Consequential Decision Making—0
Decomposing Natural Logic Inferences in Neural NLI—0
Predictive Monitoring with Logic-Calibrated Uncertainty for Cyber-Physical Systems—0
Decomposition Multi-Objective Evolutionary Optimization: From State-of-the-Art to Future Opportunities—0
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning—0
A Unified and Fast Interpretable Model for Predictive Analytics—0
A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy—0
DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry—0
Deconstructing Jazz Piano Style Using Machine Learning—0
Decoupled Sparse Gaussian Processes Components]Decoupled Sparse Gaussian Processes Components : Separating Decision Making from Data Manifold Fitting—0
Decoupling Decision-Making in Fraud Prevention through Classifier Calibration for Business Logic Action—0
A unified decision making framework for supply and demand management in microgrid networks—0
Decoupling Learning and Decision-Making: Breaking the O(T) Barrier in Online Resource Allocation with First-Order Methods—0
Decoy Effect in Search Interaction: A Pilot Study—0
Deduction Game Framework and Information Set Entropy Search—0
Deep Action Sequence Learning for Causal Shape Transformation—0
A Unified Framework for Input Feature Attribution Analysis—0
Deep Attention Model for Triage of Emergency Department Patients—0
Citizen Participation and Machine Learning for a Better Democracy—0
Deep-based quality assessment of medical images through domain adaptation—0
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback—0
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time—0
A Practical Multilevel Governance Framework for Autonomous and Intelligent Systems—0
A Practically Competitive and Provably Consistent Algorithm for Uplift Modeling—0
A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search—0
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn—0
Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images—0
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation—0
A Unified Taylor Framework for Revisiting Attribution Methods—0
CISUC-KIS: Tackling Message Polarity Classification with a Large and Diverse Set of Features—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified