SOTAVerified

Decision Making

Papers

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Showing 5001–5050 of 12311 papers

TitleStatusHype
DEK-Forecaster: A Novel Deep Learning Model Integrated with EMD-KNN for Traffic Prediction—0
Delay and Cooperation in Nonstochastic Linear Bandits—0
Delayed Feedback in Generalised Linear Bandits Revisited—0
Delays in Reinforcement Learning—0
Deliberative Acting, Online Planning and Learning with Hierarchical Operational Models—0
Deliberative Democracy with Dilutive Voting Power Sharing—0
DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries—0
DeLLMa: Decision Making Under Uncertainty with Large Language Models—0
DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model Editing—0
Demand-Driven Incremental Object Queries—0
Demand Forecasting for Electric Vehicle Charging Stations using Multivariate Time-Series Analysis—0
Demand Forecasting of Individual Probability Density Functions with Machine Learning—0
Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multiagent Reinforcement Learning—0
Demand side management impacts on electricity network vulnerability—0
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case—0
Unlocking Democratic Efficiency: How Coordinated Outcome-Contingent Promises Shape Decisions—0
Democratisation of Usable Machine Learning in Computer Vision—0
Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models—0
Democratizing Reward Design for Personal and Representative Value-Alignment—0
Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab—0
Demonstrating REACT: a Real-time Educational AI-powered Classroom Tool—0
Demonstrating Rosa: the fairness solution for any Data Analytic pipeline—0
Demonstration of a Standalone, Descriptive, and Predictive Digital Twin of a Floating Offshore Wind Turbine—0
DemOpts: Fairness corrections in COVID-19 case prediction models—0
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making—0
Demystifying Graph Neural Network Explanations—0
Demystify Painting with RL—0
Denoising Opponents Position in Partial Observation Environment—0
DEPAS: De-novo Pathology Semantic Masks using a Generative Model—0
Dependent Gated Reading for Cloze-Style Question Answering—0
Deployable probabilistic programming—0
Deploying Offline Reinforcement Learning with Human Feedback—0
Depth-Constrained ASV Navigation with Deep RL and Limited Sensing—0
Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles—0
Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation—0
Desiderata for Explainable AI in statistical production systems of the European Central Bank—0
Design and consensus content validity of the questionnaire for b-learning education: A 2-Tuple Fuzzy Linguistic Delphi based Decision Support Tool—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
Designing Algorithmic Delegates: The Role of Indistinguishability in Human-AI Handoff—0
Designing and Implementing Data Warehouse for Agricultural Big Data—0
Designing a Robust Radiology Report Generation System—0
Designing Domain-Specific Large Language Models: The Critical Role of Fine-Tuning in Public Opinion Simulation—0
Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity—0
Designing explainable artificial intelligence with active inference: A framework for transparent introspection and decision-making—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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified