SOTAVerified

Decision Making

Papers

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Showing 1401–1450 of 12311 papers

TitleStatusHype
A Multimodal Learning Framework for Comprehensive 3D Mineral Prospectivity Modeling with Jointly Learned Structure-Fluid Relationships—0
A Multimodal Learning-based Approach for Autonomous Landing of UAV—0
A Comprehensive Modeling Approach for Crop Yield Forecasts using AI-based Methods and Crop Simulation Models—0
A Multimodal Framework for Explainable Evaluation of Soft Skills in Educational Environments—0
A Multi-LLM-Agent-Based Framework for Economic and Public Policy Analysis—0
A Differentiated Reward Method for Reinforcement Learning based Multi-Vehicle Cooperative Decision-Making Algorithms—0
A Bioinspired Approach-Sensitive Neural Network for Collision Detection in Cluttered and Dynamic Backgrounds—0
Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing—0
A topological classifier to characterize brain states: When shape matters more than variance—0
Attack and defence in cellular decision-making: lessons from machine learning—0
A multi-level interpretable sleep stage scoring system by infusing experts' knowledge into a deep network architecture—0
A multi-level collaborative filtering method that improves recommendations—0
ABI Approach: Automatic Bias Identification in Decision-Making Under Risk based in an Ontology of Behavioral Economics—0
A Multi-Layered Research Framework for Human-Centered AI: Defining the Path to Explainability and Trust—0
A Multi-criteria neutrosophic group decision making metod based TOPSIS for supplier selection—0
A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives—0
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction—0
A Multicriteria Decision Making Approach to Study the Barriers to the Adoption of Autonomous Vehicles—0
A Multi-constraint and Multi-objective Allocation Model for Emergency Rescue in IoT Environment—0
A Multi Constrained Transformer-BiLSTM Guided Network for Automated Sleep Stage Classification from Single-Channel EEG—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
A Tight Lower Bound and Efficient Reduction for Swap Regret—0
Amplifying Human Creativity and Problem Solving with AI Through Generative Collective Intelligence—0
A moving target in AI-assisted decision-making: Dataset shift, model updating, and the problem of update opacity—0
A Democratic Platform for Engaging with Disabled Community in Generative AI Development—0
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions—0
Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways—0
A DEMATEL-Based Completion Method for Incomplete Pairwise Comparison Matrix in AHP—0
A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement—0
Amortized Network Intervention to Steer the Excitatory Point Processes—0
A Deep User Interface for Exploring LLaMa—0
Algorithmic decision making methods for fair credit scoring—0
MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management—0
A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service Provisioning—0
A thermodynamical approach towards multi-criteria decision making (MCDM)—0
A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics—0
ATLaS: Agent Tuning via Learning Critical Steps—0
A modular framework for object-based saccadic decisions in dynamic scenes—0
A Modular Edge Device Network for Surgery Digitalization—0
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding—0
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem—0
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models—0
A Belief Model for Conflicting and Uncertain Evidence -- Connecting Dempster-Shafer Theory and the Topology of Evidence—0
A ModelOps-based Framework for Intelligent Medical Knowledge Extraction—0
A Model of Pathways to Artificial Superintelligence Catastrophe for Risk and Decision Analysis—0
A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Textile Manufacturing Process Optimization—0
A Model of Free Will for Artificial Entities—0
A Modeling Study of the Effects of Surprisal and Entropy in Perceptual Decision Making of an Adaptive Agent—0
A Deep Reinforcement Learning Approach to Rare Event Estimation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified