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Decision Making

Papers

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Showing 9701–9725 of 12311 papers

TitleStatusHype
Big Data Analytics Applying the Fusion Approach of Multicriteria Decision Making with Deep Learning Algorithms—0
Big data in economics—0
Big Data links from Climate to Commodity Production Forecasts and Risk Management—0
Bigraph Matching Weighted with Learnt Incentive Function for Multi-Robot Task Allocation—0
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search—0
Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes—0
Binary Classifier Calibration: Non-parametric approach—0
Binary Complex Neural Network Acceleration on FPGA—0
Bioelectrical brain activity can predict prosocial behavior—0
Bioenergetics modelling to analyse and predict the joint effects of multiple stressors: Meta-analysis and model corroboration—0
Bioimpedance a Diagnostic Tool for Tobacco Induced Oral Lesions: a Mixed Model cross-sectional study—0
Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement Learning—0
Bipolar Fuzzy Soft sets and its applications in decision making problem—0
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images—0
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models—0
Bird's-Eye View to Street-View: A Survey—0
Black-box Bayesian inference for economic agent-based models—0
Black Box Causal Inference: Effect Estimation via Meta Prediction—0
Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models—0
Black-box Optimization with Simultaneous Statistical Inference for Optimal Performance—0
Black-box Uncertainty Quantification Method for LLM-as-a-Judge—0
Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition—0
Blessing from Human-AI Interaction: Super Reinforcement Learning in Confounded Environments—0
Blind Decision Making: Reinforcement Learning with Delayed Observations—0
Blind Identification of SFBC-OFDM Signals Using Subspace Decompositions and Random Matrix Theory—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified