SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5001–5025 of 12311 papers

TitleStatusHype
Labor Space: A Unifying Representation of the Labor Market via Large Language Models—0
Vital Sign Forecasting for Sepsis Patients in ICUs—0
Toward Rapid, Optimal, and Feasible Power Dispatch through Generalized Neural Mapping—0
Anonymizing medical case-based explanations through disentanglement—0
CAIS-DMA: A Decision-Making Assistant for Collaborative AI SystemsCode0
Likelihood Ratio Confidence Sets for Sequential Decision Making—0
AI for All: Operationalising Diversity and Inclusion Requirements for AI Systems—0
Operational risk quantification of power grids using graph neural network surrogates of the DC OPF—0
Evaluating Large Language Models in Ophthalmology—0
An Explainable Framework for Machine learning-Based Reactive Power Optimization of Distribution Network—0
Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control—0
A Biologically-Inspired Computational Model of Time Perception—0
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search—0
PcLast: Discovering Plannable Continuous Latent States—0
Flexible Multi-Generator Model with Fused Spatiotemporal Graph for Trajectory Prediction—0
Estimating Primary Substation Boundaries and the Value of Mapping the Electrical Network Infrastructure of Great Britain—0
Nexus at ArAIEval Shared Task: Fine-Tuning Arabic Language Models for Propaganda and Disinformation Detection—0
Goal-Oriented Wireless Communication Resource Allocation for Cyber-Physical Systems—0
Evolutionary City: Towards a Flexible, Agile and Symbiotic System—0
Evolution of Collective Decision-Making Mechanisms for Collective Perception—0
FinA: Fairness of Adverse Effects in Decision-Making of Human-Cyber-Physical-System—0
Procedural Fairness Through Decoupling Objectionable Data Generating ComponentsCode0
Does Explainable AI Have Moral Value?—0
TFNet: Tuning Fork Network with Neighborhood Pixel Aggregation for Improved Building Footprint Extraction—0
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified