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Decision Making

Papers

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Showing 1451–1500 of 12311 papers

TitleStatusHype
A Deep Reinforcement Learning Approach to Rare Event Estimation—0
A Unified and Fast Interpretable Model for Predictive Analytics—0
A Model for Spatial Outlier Detection Based on Weighted Neighborhood Relationship—0
A Deep Reinforcement Learning Approach for Online Parcel Assignment—0
A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems—0
A Model-Based, Decision-Theoretic Perspective on Automated Cyber Response—0
A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models—0
A Model-Based Approach to Imitation Learning through Multi-Step Predictions—0
A model-agnostic approach for generating Saliency Maps to explain inferred decisions of Deep Learning Models—0
A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging—0
A mixture transition distribution approach to portfolio optimization—0
A Mixed Initiative Semantic Web Framework for Process Composition—0
A Deep Learning System That Generates Quantitative CT Reports for Diagnosing Pulmonary Tuberculosis—0
Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning—0
A Unified Anti-Jamming Design in Complex Environments Based on Cross-Modal Fusion and Intelligent Decision-Making—0
A Unified Framework for Input Feature Attribution Analysis—0
A Mixed-Initiative Conversational Dialogue System for Healthcare—0
A Mini Review on the utilization of Reinforcement Learning with OPC UA—0
A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records—0
A Minimax-MDP Framework with Future-imposed Conditions for Learning-augmented Problems—0
Heterogeneous Knowledge for Augmented Modular Reinforcement Learning—0
Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models—0
A method for the online construction of the set of states of a Markov Decision Process using Answer Set Programming—0
A Method for Determining Weights of Criterias and Alternative of Fuzzy Group Decision Making Problem—0
A Comparative Study of Garment Draping Techniques—0
A method for classification of data with uncertainty using hypothesis testing—0
A Deep Learning Approach for Population Estimation from Satellite Imagery—0
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks—0
AI-based Identification of Most Critical Cyberattacks in Industrial Systems—0
Augmenting Decision Making via Interactive What-If Analysis—0
A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles—0
A Meta-heuristic Approach to Estimate and Explain Classifier Uncertainty—0
Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models—0
A Comparative Study of Faithfulness Metrics for Model Interpretability Methods—0
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making—0
A BCS-GDE Multi-objective Optimization Algorithm for Combined Cooling, Heating and Power Model with Decision Strategies—0
Augmented Computational Design: Methodical Application of Artificial Intelligence in Generative Design—0
A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis—0
American Call Options Pricing With Modular Neural Networks—0
A Comparative Study of Faithfulness Metrics for Model Interpretability Methods—0
A Mental Trespass? Unveiling Truth, Exposing Thoughts and Threatening Civil Liberties with Non-Invasive AI Lie Detection—0
A Mental Model Based Theory of Trust—0
A Deep Generative XAI Framework for Natural Language Inference Explanations Generation—0
They Look Like Each Other: Case-based Reasoning for Explainable Depression Detection on Twitter using Large Language Models—0
Augmented cross-selling through explainable AI -- a case from energy retailing—0
Augmenting Human Cognition With Generative AI: Lessons From AI-Assisted Decision-Making—0
A mechanistic multi-area recurrent network model of decision-making—0
A Mechanistic Explanatory Strategy for XAI—0
A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization—0
A mechanical and economical based framework to help decision-makers for natural hazards and malicious events impact on infrastructure prevention—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified