SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7876–7900 of 12311 papers

TitleStatusHype
Enhancements for Developing a Comprehensive AI Fairness Assessment Standard—0
Enhancing Agricultural Machinery Management through Advanced LLM Integration—0
Enhancing AI Accessibility in Veterinary Medicine: Linking Classifiers and Electronic Health Records—0
Enhancing AI Transparency: XRL-Based Resource Management and RAN Slicing for 6G ORAN Architecture—0
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications—0
Enhancing Building Energy Efficiency through Advanced Sizing and Dispatch Methods for Energy Storage—0
Enhancing Cancer Diagnosis with Explainable & Trustworthy Deep Learning Models—0
Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients—0
Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs—0
Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction—0
Enhancing Collective Intelligence in Large Language Models Through Emotional Integration—0
Enhancing data security against cyberattacks in artificial intelligence based smartgrid systems with crypto agility—0
Enhancing Decision Making Capacity in Tourism Domain Using Social Media Analytics—0
Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models—0
Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective—0
Enhancing Deep Learning Model Explainability in Brain Tumor Datasets using Post-Heuristic Approaches—0
Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias—0
Enhancing Diagnostic in 3D COVID-19 Pneumonia CT-scans through Explainable Uncertainty Bayesian Quantification—0
Enhancing Emergency Decision-making with Knowledge Graphs and Large Language Models—0
Enhancing ESG Impact Type Identification through Early Fusion and Multilingual Models—0
Enhancing Exchange Rate Forecasting with Explainable Deep Learning Models—0
Enhancing Explainability and Reliable Decision-Making in Particle Swarm Optimization through Communication Topologies—0
Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks—0
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality—0
Travel Demand Forecasting: A Fair AI Approach—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified