标题
Multi-city traffic flow forecasting via multi-task learning
作者
关键词
-
出版物
APPLIED INTELLIGENCE
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-02-19
DOI
10.1007/s10489-020-02074-8
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A Simple Baseline for Travel Time Estimation using Large-scale Trip Data
- (2019) Hongjian Wang et al. ACM Transactions on Intelligent Systems and Technology
- Improving person re-identification by multi-task learning
- (2019) Hefei Ling et al. NEUROCOMPUTING
- Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs
- (2019) Qiu Xiao et al. KNOWLEDGE-BASED SYSTEMS
- Train-movement situation recognition for safety justification using moving-horizon TBM-based multisensor data fusion
- (2019) Yonghua Zhou et al. KNOWLEDGE-BASED SYSTEMS
- Trajectory Data Classification
- (2019) Jiang Bian et al. ACM Transactions on Intelligent Systems and Technology
- Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning
- (2019) Junbo Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Predicting citywide crowd flows using deep spatio-temporal residual networks
- (2018) Junbo Zhang et al. ARTIFICIAL INTELLIGENCE
- Capturing the Spatiotemporal Evolution in Road Traffic Networks
- (2018) Tarique Anwar et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Traffic Data Reconstruction via Adaptive Spatial-Temporal Correlations
- (2018) IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- LSTM-based traffic flow prediction with missing data
- (2018) Yan Tian et al. NEUROCOMPUTING
- A multitask multiview clustering algorithm in heterogeneous situations based on LLE and LE
- (2018) Yiling Zhang et al. KNOWLEDGE-BASED SYSTEMS
- Multi-task deep convolutional neural network for cancer diagnosis
- (2018) Qing Liao et al. NEUROCOMPUTING
- Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting
- (2017) Liang Zhao et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
- (2017) Rajeev Ranjan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Predicting traffic volumes and estimating the effects of shocks in massive transportation systems
- (2015) Ricardo Silva et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Accurate and Interpretable Bayesian MARS for Traffic Flow Prediction
- (2014) Yanyan Xu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started