SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7851–7900 of 12311 papers

TitleStatusHype
End-To-End Training and Testing Gamification Framework to Learn Human Highway Driving—0
Energy-aware optimization of UAV base stations placement via decentralized multi-agent Q-learning—0
Energy-Efficient Deep Reinforcement Learning with Spiking Transformers—0
Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs—0
Energy Management of a Multi-Battery System for Renewable-Based High Power EV Charging—0
Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory—0
Energy Price and Workload Related Dispatching Rule: Balancing Energy and Production Logistics Costs—0
Energy Security and Resilience: Reviewing Concepts and Advancing Planning Perspectives for Transforming Integrated Energy Systems—0
Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality—0
Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making—0
Engineered Ordinary Differential Equations as Classification Algorithm (EODECA): thorough characterization and testing—0
Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games—0
Enhanced Decentralized Federated Learning based on Consensus in Connected Vehicles—0
Enhanced Deep Learning Methodologies and MRI Selection Techniques for Dementia Diagnosis in the Elderly Population—0
Enhanced detection of fetal pose in 3D MRI by Deep Reinforcement Learning with physical structure priors on anatomy—0
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances—0
Enhanced forecasting of stock prices based on variational mode decomposition, PatchTST, and adaptive scale-weighted layer—0
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards—0
Enhanced Input Modeling for Construction Simulation using Bayesian Deep Neural Networks—0
Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons—0
Enhanced Route Planning with Calibrated Uncertainty Set—0
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation—0
Enhanced Survival Prediction in Head and Neck Cancer Using Convolutional Block Attention and Multimodal Data Fusion—0
Enhanced Urban Region Profiling with Adversarial Self-Supervised Learning for Robust Forecasting and Security—0
Automated Sleep Staging via Parallel Frequency-Cut Attention—0
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