SOTAVerified

Decision Making

Papers

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Showing 4926–4950 of 12311 papers

TitleStatusHype
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT—0
Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach—0
Robust and Interpretable COVID-19 Diagnosis on Chest X-ray Images using Adversarial Training—0
To Transmit or Not to Transmit: Optimal Sensor Schedule for Remote State Estimation of Discrete-Event Systems—0
The Influence of Neural Networks on Hydropower Plant Management in Agriculture: Addressing Challenges and Exploring Untapped Opportunities—0
Comparative Analysis of Linear Regression, Gaussian Elimination, and LU Decomposition for CT Real Estate Purchase Decisions—0
Guided Flows for Generative Modeling and Decision Making—0
Applying Large Language Models to Power Systems: Potential Security Threats—0
Optimal trajectory planning meets network-level routing: Integrated control framework for emerging mobility systems—0
Fair Enough? A map of the current limitations of the requirements to have fair algorithms—0
Beyond Text: Unveiling Multimodal Proficiency of Large Language Models with MultiAPI BenchmarkCode0
minimax: Efficient Baselines for Autocurricula in JAX—0
Designing Long-term Group Fair Policies in Dynamical Systems—0
Power grid operational risk assessment using graph neural network surrogates—0
Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry—0
Thinking Outside the Box: Orthogonal Approach to Equalizing Protected Attributes—0
Trustworthy AI: Deciding What to Decide—0
Smart Energy Network Digital Twins: Findings from a UK-Based Demonstrator ProjectCode0
A New Approach to Intuitionistic Fuzzy Decision Making Based on Projection Technology and Cosine Similarity Measure—0
GPT in Data Science: A Practical Exploration of Model Selection—0
InteraSSort: Interactive Assortment Planning Using Large Language Models—0
Adaptive Bayesian Learning with Action and State-Dependent Signal Variance—0
Data-driven project planning: An integrated network learning and constraint relaxation approach in favor of scheduling—0
Creating Temporally Correlated High-Resolution Profiles of Load Injection Using Constrained Generative Adversarial Networks—0
Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in E-Commerce—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified