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Decision Making

Papers

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Showing 3551–3600 of 12311 papers

TitleStatusHype
Deep reinforcement learning-based longitudinal control strategy for automated vehicles at signalised intersections—0
Dependent Gated Reading for Cloze-Style Question Answering—0
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
Deploying Offline Reinforcement Learning with Human Feedback—0
A Multicriteria Decision Making Approach to Study the Barriers to the Adoption of Autonomous Vehicles—0
Deep Reinforcement Learning Approach for Trading Automation in The Stock Market—0
Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles—0
Deep reinforcement learning applied to an assembly sequence planning problem with user preferences—0
Deep Reinforcement Learning and its Neuroscientific Implications—0
Desiderata for Explainable AI in statistical production systems of the European Central Bank—0
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review—0
Design and Stability Analysis of a Shared Mobility Market—0
Design and testing of an agent chatbot supporting decision making with public transport data—0
Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure—0
Designed to Cooperate: A Kant-Inspired Ethic of Machine-to-Machine Cooperation—0
Human-AI collaboration is not very collaborative yet: A taxonomy of interaction patterns in AI-assisted decision making from a systematic review—0
Automated Knowledge Graph Learning in Industrial Processes—0
Designing and Implementing Data Warehouse for Agricultural Big Data—0
Designing a Robust Radiology Report Generation System—0
A Multi-constraint and Multi-objective Allocation Model for Emergency Rescue in IoT Environment—0
Deep Reinforcement Learning Aided Monte Carlo Tree Search for MIMO Detection—0
Designing Domain-Specific Large Language Models: The Critical Role of Fine-Tuning in Public Opinion Simulation—0
Deep Reinforcement Learning-aided Transmission Design for Energy-efficient Link Optimization in Vehicular Communications—0
Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity—0
Automated Few-Shot Time Series Forecasting based on Bi-level Programming—0
Designing forecasting software for forecast users: Empowering non-experts to create and understand their own forecasts—0
Designing for human-AI complementarity in K-12 education—0
Designing LLM-Agents with Personalities: A Psychometric Approach—0
Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis—0
A Multi Constrained Transformer-BiLSTM Guided Network for Automated Sleep Stage Classification from Single-Channel EEG—0
Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach—0
Designing over uncertain outcomes with stochastic sampling Bayesian optimization—0
Deep Q-Network Based Decision Making for Autonomous Driving—0
Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning—0
Design of intentional backdoors in sequential models—0
Design principles for a hybrid intelligence decision support system for business model validation—0
DetAIL : A Tool to Automatically Detect and Analyze Drift In Language—0
Detección y Cuantificación de Erosión Fluvial con Visión Artificial—0
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking—0
Automated Ensemble Multimodal Machine Learning for Healthcare—0
Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging—0
Automated Driving Without Ethics: Meaning, Design and Real-World Implementation—0
Amplifying the Anterior-Posterior Difference via Data Enhancement -- A More Robust Deep Monocular Orientation Estimation Solution—0
A Design Space for Explainable Ranking and Ranking Models—0
ABI Approach: Automatic Bias Identification in Decision-Making Under Risk based in an Ontology of Behavioral Economics—0
Detecting Bias and Enhancing Diagnostic Accuracy in Large Language Models for Healthcare—0
Deep Q-Learning for Same-Day Delivery with Vehicles and Drones—0
Automated Driving with Evolution Capability: A Reinforcement Learning Method with Monotonic Performance Enhancement—0
Automated discovery of trade-off between utility, privacy and fairness in machine learning models—0
Amplifying Human Creativity and Problem Solving with AI Through Generative Collective Intelligence—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified