SOTAVerified

Decision Making

Papers

Showing 14011450 of 12311 papers

TitleStatusHype
3D Graph Attention Networks for High Fidelity Pediatric Glioma Segmentation0
Towards AI-45^ Law: A Roadmap to Trustworthy AGI0
Uncertainty-Aware Capacity Expansion for Real-World DER Deployment via End-to-End Network Integration0
STEAM-EEG: Spatiotemporal EEG Analysis with Markov Transfer Fields and Attentive CNNs0
Hardware implementation of timely reliable Bayesian decision-making using memristors0
Charting the Shapes of Stories with Game Theory0
AI Planning: A Primer and Survey (Preliminary Report)0
Constructing optimal treatment length strategies to maximize quality-adjusted lifetimes0
Question Answering for Decisionmaking in Green Building Design: A Multimodal Data Reasoning Method Driven by Large Language Models0
Reinforcement Learning: An Overview0
Integrating Semantic Communication and Human Decision-Making into an End-to-End Sensing-Decision Framework0
SurgBox: Agent-Driven Operating Room Sandbox with Surgery CopilotCode1
Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and Perspectives0
Uncertainty Quantification in Portfolio Temperature Alignment0
Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence0
Deep Causal Inference for Point-referenced Spatial Data with Continuous TreatmentsCode0
AI4EF: Artificial Intelligence for Energy Efficiency in the Building Sector0
On Extrapolation of Treatment Effects in Multiple-Cutoff Regression Discontinuity Designs0
Safe Adaptive Cruise Control Under Perception Uncertainty: A Deep Ensemble and Conformal Tube Model Predictive Control Approach0
Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks0
CBEval: A framework for evaluating and interpreting cognitive biases in LLMs0
Explainable Malware Detection through Integrated Graph Reduction and Learning Techniques0
Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning0
Coordinated Multi-Armed Bandits for Improved Spatial Reuse in Wi-Fi0
AI-Driven Day-to-Day Route ChoiceCode1
Risk-aware Classification via Uncertainty Quantification0
Are Explanations Helpful? A Comparative Analysis of Explainability Methods in Skin Lesion ClassifiersCode0
From Words to Workflows: Automating Business Processes0
BIMCaP: BIM-based AI-supported LiDAR-Camera Pose RefinementCode1
An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction0
Technical Report on Reinforcement Learning Control on the Lucas-Nülle Inverted Pendulum0
Lean classical-quantum hybrid neural network model for image classification0
Wasserstein Markets for Differentially-Private DataCode0
Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control0
Step-by-Step Guidance to Differential Anemia Diagnosis with Real-World Data and Deep Reinforcement LearningCode0
OMENN: One Matrix to Explain Neural Networks0
Self-Supervised Learning-Based Path Planning and Obstacle Avoidance Using PPO and B-Splines in Unknown Environments0
Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals0
Explainable CTR Prediction via LLM Reasoning0
A privacy-preserving distributed credible evidence fusion algorithm for collective decision-making0
Selective Reviews of Bandit Problems in AI via a Statistical View0
Semantic Tokens in Retrieval Augmented Generation0
SAUP: Situation Awareness Uncertainty Propagation on LLM Agent0
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models0
Medchain: Bridging the Gap Between LLM Agents and Clinical Practice through Interactive Sequential Benchmarking0
Uncertainty-Aware Artificial Intelligence for Gear Fault Diagnosis in Motor Drives0
Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control0
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations0
Intelligent Spark Agents: A Modular LangGraph Framework for Scalable, Visualized, and Enhanced Big Data Machine Learning Workflows0
PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified