SOTAVerified

Decision Making

Papers

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Showing 3601–3650 of 12311 papers

TitleStatusHype
Detecting discriminatory risk through data annotation based on Bayesian inferences—0
Detecting Future-related Contexts of Entity Mentions—0
Choosing a Model, Shaping a Future: Comparing LLM Perspectives on Sustainability and its Relationship with AI—0
Detecting Implicit Expressions of Affect from Text using Semantic Knowledge on Common Concept Properties—0
Approximated Multi-Agent Fitted Q Iteration—0
Detecting Malicious AI Agents Through Simulated Interactions—0
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset—0
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation—0
Detecting Political Opinions in Tweets through Bipartite Graph Analysis: A Skip Aggregation Graph Convolution Approach—0
A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting—0
Detection and Mitigation of Rare Subclasses in Deep Neural Network Classifiers—0
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods—0
Detection of Adversarial Physical Attacks in Time-Series Image Data—0
Detection of Anomalies in a Time Series Data using InfluxDB and Python—0
Detection of decision-making manipulation in the pairwise comparisons method—0
Detection of financial opportunities in micro-blogging data with a stacked classification system—0
Detection of Groups with Biased Representation in Ranking—0
Detection of small changes in medical and random-dot images comparing self-organizing map performance to human detection—0
Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning—0
A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities—0
Detection of Vascular Leukoencephalopathy in CT Images—0
Determinants of LLM-assisted Decision-Making—0
Determination of class-specific variables in nonparametric multiple-class classification—0
Determining Sentencing Recommendations and Patentability Using a Machine Learning Trained Expert System—0
Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots—0
Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time—0
Developing and Evaluating Annotation Procedures for Twitter Data during Hazard Events—0
A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems—0
AVID: Adapting Video Diffusion Models to World Models—0
Developing Hybrid Machine Learning Models to Assign Health Score to Railcar Fleets for Optimal Decision Making—0
Choose Your Own Question: Encouraging Self-Personalization in Learning Path Construction—0
Developing Normative Gait Cycle Parameters for Clinical Analysis Using Human Pose Estimation—0
Choices in the transformative Anthropocene—0
Developing patient-driven artificial intelligence based on personal rankings of care decision making steps—0
Development and Application of a Monte Carlo Tree Search Algorithm for Simulating Da Vinci Code Game Strategies—0
Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the FIREX-AQ Datasets—0
Development of a CAV-based Intersection Control System and Corridor Level Impact Assessment—0
Development of a Large Language Model-based Multi-Agent Clinical Decision Support System for Korean Triage and Acuity Scale (KTAS)-Based Triage and Treatment Planning in Emergency Departments—0
Development of an Adaptive Multi-Domain Artificial Intelligence System Built using Machine Learning and Expert Systems Technologies—0
Development of a Neural Network-based Method for Improved Imputation of Missing Values in Time Series Data by Repurposing DataWig—0
Computable Phenotypes of Patient Acuity in the Intensive Care Unit—0
Development of fully intuitionistic fuzzy data envelopment analysis model with missing data: an application to Indian police sector—0
Development of Interactive Nomograms for Predicting Short-Term Survival in ICU Patients with Aplastic Anemia—0
Development of Mobile-Interfaced Machine Learning-Based Predictive Models for Improving Students Performance in Programming Courses—0
Development of Simulation-based Lane Change Control System for Autonomous Vehicles—0
Approximate Information States for Worst-Case Control and Learning in Uncertain Systems—0
ChoiceMates: Supporting Unfamiliar Online Decision-Making with Multi-Agent Conversational Interactions—0
Choice confidence bridges credit assignment to levels of decision hierarchy—0
Approximate information maximization for bandit games—0
AGIL: Learning Attention from Human for Visuomotor Tasks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified