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Decision Making

Papers

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Showing 8801–8825 of 12311 papers

TitleStatusHype
An Emergency Disposal Decision-making Method with Human--Machine Collaboration—0
An Empirical Analysis of Constrained Support Vector Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power—0
An Empirical Examination of the Evaluative AI Framework—0
An Empirical Study of Bugs in Data Visualization Libraries—0
An Empirical Study of Combing Multiple Models in Bengali Question Classification—0
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry—0
An Empirical Study on Fertility Proposals Using Multi-Grained Topic Analysis Methods—0
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray—0
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing—0
An End-to-End Smart Predict-then-Optimize Framework for Vehicle Relocation Problems in Large-Scale Vehicle Crowd Sensing—0
An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification—0
An ensemble learning framework based on group decision making—0
A Nested Graph Reinforcement Learning-based Decision-making Strategy for Eco-platooning—0
A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval—0
FNNC: Achieving Fairness through Neural Networks—0
A Neuro-Fuzzy Model of Time-Varying Decision Boundaries—0
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations—0
A Neurorobotics Approach to Behaviour Selection based on Human Activity Recognition—0
A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making—0
A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks—0
An evidential Markov decision making model—0
An Evolutionary Framework for Connect-4 as Test-Bed for Comparison of Advanced Minimax, Q-Learning and MCTS—0
A New Adversarial Perspective for LiDAR-based 3D Object Detection—0
A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward—0
A new approach of contextual recommendation based on the method of Hierarchical Analysis of Processes—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified