SOTAVerified

Decision Making

Papers

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Showing 9201–9250 of 12311 papers

TitleStatusHype
A Software Architecture for Autonomous Vehicles: Team LRM-B Entry in the First CARLA Autonomous Driving Challenge—0
A Solution to Time-Varying Markov Decision Processes—0
Aspect-Based Opinion Extraction from Customer reviews—0
Aspect-based Sentiment Evaluation of Chess Moves (ASSESS): an NLP-based Method for Evaluating Chess Strategies from Textbooks—0
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation—0
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation—0
Assessing AI Utility: The Random Guesser Test for Sequential Decision-Making Systems—0
Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering—0
Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multicriteria Decision-Making Approach—0
Assessing ecosystem services for evidence-based nature-based solutions—0
Assessing Large Language Models in Agentic Multilingual National Bias—0
Assessing population-level symptoms of anxiety, depression, and suicide risk in real time using NLP applied to social media data—0
Assessing Risks of Biases in Cognitive Decision Support Systems—0
Assessing Social Determinants-Related Performance Bias of Machine Learning Models: A case of Hyperchloremia Prediction in ICU Population—0
Assessing the different aspects of consuming fashion and the role of self-confidence on the buying behaviour of fashion consumers in the clothing market as a mediator—0
Assessing the Efficacy of Clinical Sentiment Analysis and Topic Extraction in Psychiatric Readmission Risk Prediction—0
Assessing Classifier Fairness with Collider Bias—0
Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation—0
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour—0
Assessing the Potential of Generative Agents in Crowdsourced Fact-Checking—0
Assessing the Robustness of Intelligence-Driven Reinforcement Learning—0
Assessment of contextualised representations in detecting outcome phrases in clinical trials—0
Assisted Learning for Organizations with Limited Imbalanced Data—0
Assisting clinical practice with fuzzy probabilistic decision trees—0
Assistive AI for Augmenting Human Decision-making—0
Associated Spatio-Temporal Capsule Network for Gait Recognition—0
Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach—0
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability—0
Assured Learning-enabled Autonomy: A Metacognitive Reinforcement Learning Framework—0
A State Transition Model for Mobile Notifications via Survival Analysis—0
A Statistical Decision-Theoretic Framework for Social Choice—0
A Decision Theoretic Framework for Measuring AI Reliance—0
As Time Goes By: Adding a Temporal Dimension Towards Resolving Delegations in Liquid Democracy—0
A Story of Consistency: Bridging the Gap between Bentham and Rawls Foundations—0
The Multi-BMBY Mechanism: Proportionality-Preserving and Strategyproof Ownership Restructuring in Private Companies—0
A Strategy Transfer and Decision Support Approach for Epidemic Control in Experience Shortage Scenarios—0
A stream computing approach towards scalable NLP—0
A Strong Baseline for Batch Imitation Learning—0
A Structured Analysis of the Video Degradation Effects on the Performance of a Machine Learning-enabled Pedestrian Detector—0
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning—0
A Structured Semantic Reinforcement method for Task-Oriented Dialogue—0
A Study of Age and Sex Bias in Multiple Instance Learning based Classification of Acute Myeloid Leukemia Subtypes—0
A study of computational and conceptual complexities of compartment and agent based models—0
A Study of Data-driven Methods for Adaptive Forecasting of COVID-19 Cases—0
A Study of Data-driven Methods for Inventory Optimization—0
A Study of Deep CNN Model with Labeling Noise Based on Granular-ball Computing—0
A Study of Long-term Energy-mix Optimization Model: A Case Study in Japan—0
A study of the Multicriteria decision analysis based on the time-series features and a TOPSIS method proposal for a tensorial approach—0
A study on a Q-Learning algorithm application to a manufacturing assembly problem—0
A Study on Fairness and Trust Perceptions in Automated Decision Making—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified