SOTAVerified

Decision Making

Papers

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Showing 7201–7225 of 12311 papers

TitleStatusHype
Quality of service based radar resource management using deep reinforcement learning—0
Quality of service based radar resource management for interference mitigation—0
Quality of service based radar resource management for synchronisation problems—0
From Contextual Data to Newsvendor Decisions: On the Actual Performance of Data-Driven Algorithms—0
Quantification of emotions in decision making—0
Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective—0
Quantifying calibration error in modern neural networks through evidence based theory—0
Quantifying Deep Learning Model Uncertainty in Conformal Prediction—0
Quantifying Feature Contributions to Overall Disparity Using Information Theory—0
Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks—0
Quantifying Infra-Marginality and Its Trade-off with Group Fairness—0
Quantifying interictal intracranial EEG to predict focal epilepsy—0
Quantifying Metrics for Wildfire Ignition Risk from Geographic Data in Power Shutoff Decision-Making—0
Quantifying MEV On Layer 2 Networks—0
Quantifying Prediction Consistency Under Fine-Tuning Multiplicity in Tabular LLMs—0
Quantifying Program Bias—0
Quantifying Qualitative Data for Understanding Controversial Issues—0
Quantifying Risk Propensities of Large Language Models: Ethical Focus and Bias Detection through Role-Play—0
Quantifying Symptom Causality in Clinical Decision Making: An Exploration Using CausaLM—0
Quantifying the Conceptual Error in Dimensionality Reduction—0
Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness—0
Quantifying the impact of network structure on speed and accuracy in collective decision-making—0
Quantifying the value of positive transfer: An experimental case study—0
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles—0
Quantifying Uncertainty in Deep Learning Classification with Noise in Discrete Inputs for Risk-Based Decision Making—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified