Related references
Note: Only part of the references are listed.Taxi Demand Prediction Using Parallel Multi-Task Learning Model
Chizhan Zhang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)
A bi-Hierarchical Game-Theoretic Approach for Network-Wide Traffic Signal Control Using Trip-Based Data
Yiting Zhu et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)
Residual-Network-Leveraged Vehicle-Thrown-Waste Identification in Real-Time Traffic Surveillance Videos
Pengjiang Qian et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)
Incremental Bayesian matrix/tensor learning for structural monitoring data imputation and response forecasting
Pu Ren et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
A review on the attention mechanism of deep learning
Zhaoyang Niu et al.
NEUROCOMPUTING (2021)
Scalable low-rank tensor learning for spatiotemporal traffic data imputation
Xinyu Chen et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)
Gated and attentive neural collaborative filtering for user generated list recommendation
Chao Yang et al.
KNOWLEDGE-BASED SYSTEMS (2020)
A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation
Xinyu Chen et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)
Network-wide traffic flow estimation with insufficient volume detection and crowdsourcing data
Zhengchao Zhang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)
Network-Wide Link Travel Time Inference Using Trip-Based Data From Automatic Vehicle Identification Detectors
Yiting Zhu et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation
Filipe Rodrigues et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)
Missing data detection and imputation for urban ANPR system using an iterative tensor decomposition approach
Han Zhang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
Linked CP tensor decomposition algorithms for shared and individual feature extraction
Rafal Zdunek et al.
SIGNAL PROCESSING-IMAGE COMMUNICATION (2019)
A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation
Xinyu Chen et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation
Hoyeop Lee et al.
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2019)
Neural Tensor Factorization for Temporal Interaction Learning
Xian Wu et al.
PROCEEDINGS OF THE TWELFTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM'19) (2019)
Traffic data imputation via tensor completion based on soft thresholding of Tucker core
J. H. de M. Goulart et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)
Neural Collaborative Filtering
Xiangnan He et al.
PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'17) (2017)
An efficient realization of deep learning for traffic data imputation
Yanjie Duan et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination
Qibin Zhao et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)
Tensor Completion for Estimating Missing Values in Visual Data
Ji Liu et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
A tensor-based method for missing traffic data completion
Huachun Tan et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2013)
Graph Regularized Nonnegative Matrix Factorization for Data Representation
Deng Cai et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2011)
Tensor Decompositions and Applications
Tamara G. Kolda et al.
SIAM REVIEW (2009)
Share Paper
