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Kriging 1 Network 1 Jupyter 2 Workflows 2 Post 3 Rl 2 Cav 1 Transit 2 Post 1 Forecasting 1 Imputation 1 Anomaly_detection 2

Kriging

• Inductive Graph Neural Networks for Kriging - March 05, 2021

Network

• Inductive Graph Neural Networks for Kriging - March 05, 2021

Jupyter

• Multi-horizon booking demand forecasting with ExPretio - March 27, 2021
• Inductive Graph Neural Networks for Kriging - March 05, 2021

Workflows

• Multi-horizon booking demand forecasting with ExPretio - March 27, 2021
• Inductive Graph Neural Networks for Kriging - March 05, 2021

Post

• Spatiotemporal Traffic Data Imputation and Pattern Discovery with Bayesian Kernelized Probabilistic Matrix Factorization - March 29, 2021
• Dynamic holding control to avoid bus bunching, A multi-agent deep reinforcement learning framework - March 12, 2021
• Multi-agent Graph Reinforcement Learning for Connected Automated Driving - March 11, 2021

Rl

• Dynamic holding control to avoid bus bunching, A multi-agent deep reinforcement learning framework - March 12, 2021
• Multi-agent Graph Reinforcement Learning for Connected Automated Driving - March 11, 2021

Cav

• Multi-agent Graph Reinforcement Learning for Connected Automated Driving - March 11, 2021

Transit

• Probabilistic model for destination inference and travel pattern mining from smart card data - March 18, 2021
• Dynamic holding control to avoid bus bunching, A multi-agent deep reinforcement learning framework - March 12, 2021

Post

• Probabilistic model for destination inference and travel pattern mining from smart card data - March 18, 2021

Forecasting

• Multi-horizon booking demand forecasting with ExPretio - March 27, 2021

Imputation

• Spatiotemporal Traffic Data Imputation and Pattern Discovery with Bayesian Kernelized Probabilistic Matrix Factorization - March 29, 2021

Anomaly_detection

• Detect anomalies in traffic activities with Thales - March 29, 2021
• Diagnosing spatiotemporal traffic anomalies with low-rank tensor autoregression - March 29, 2021