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Christos Markos, PhD
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Cited by
Year
Long-Term Urban Traffic Speed Prediction With Deep Learning on Graphs
JJQ Yu, C Markos, S Zhang
IEEE Transactions on Intelligent Transportation Systems, 2021
492021
Unsupervised Deep Learning for GPS-Based Transportation Mode Identification
C Markos, JJQ Yu
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
362020
Autonomous Vehicle Intelligent System: Joint Ride-Sharing and Parcel Delivery Strategy
S Zhang, C Markos, JJQ Yu
IEEE Transactions on Intelligent Transportation Systems, 2022
232022
Towards Crowdsourced Transportation Mode Identification: A Semi-Supervised Federated Learning Approach
C Zhang, Y Zhu, C Markos, S Yu, JJQ Yu
IEEE Internet of Things Journal, 2021
222021
FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data
Y Zhu, C Markos, R Zhao, Y Zheng, JJQ Yu
2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021
172021
Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning
C Markos, JJQ Yu, RYD Xu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 390-398, 2021
162021
Improving Transportation Mode Identification with Limited GPS Trajectories
Y Zhu, C Markos, JJQ Yu
2021 IEEE 33rd International Conference on Tools with Artificial …, 2021
142021
MultiMix: A Multi-Task Deep Learning Approach for Travel Mode Identification with Few GPS Data
X Song, C Markos, JJQ Yu
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
112020
CatETA: A Categorical Approximate Approach for Estimating Time of Arrival
Y Ye, Y Zhu, C Markos, JJQ Yu
IEEE Transactions on Intelligent Transportation Systems, 2022
72022
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Articles 1–9