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Daqing Chen
Daqing Chen
Course Director for MSc Data Science at London South Bank University, London, UK
Verified email at lsbu.ac.uk
Title
Cited by
Cited by
Year
Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining
D Chen, SL Sain, K Guo
3472012
Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining
D Chen, SL Sain, K Guo
Journal of Database Marketing & Customer Strategy Management 19, 197-208, 2012
3452012
Maneuvering target tracking of UAV based on MN-DDPG and transfer learning
B Li, Z Yang, D Chen, S Liang, H Ma
Defence Technology 17 (2), 457-466, 2021
892021
Case-based reasoning system and artificial neural networks: A review
D Chen, P Burrell
Neural Computing & Applications 10, 264-276, 2001
862001
UAV maneuvering target tracking in uncertain environments based on deep reinforcement learning and meta-learning
B Li, Z Gan, D Chen, D Sergey Aleksandrovich
Remote Sensing 12 (22), 3789, 2020
552020
Lip reading sentences using deep learning with only visual cues
S Fenghour, D Chen, K Guo, P Xiao
IEEE Access 8, 215516-215530, 2020
442020
Deep learning-based automated lip-reading: A survey
S Fenghour, D Chen, K Guo, B Li, P Xiao
IEEE Access 9, 121184-121205, 2021
362021
A genetic-algorithm-based approach to UAV path planning problem
XG Gao, XW Fu, DQ Chen
Proceedings of the WSEAS International Conference on Simulation, Modeling …, 2005
362005
Learning Bayesian network parameters via minimax algorithm
X Gao, Z Guo, H Ren, Y Yang, D Chen, C He
International Journal of Approximate Reasoning 108, 62-75, 2019
352019
Learning Bayesian networks using the constrained maximum a posteriori probability method
Y Yang, X Gao, Z Guo, D Chen
Pattern Recognition 91, 123-134, 2019
342019
Learning Bayesian network parameters from small data sets: A further constrained qualitatively maximum a posteriori method
Z Guo, X Gao, H Ren, Y Yang, R Di, D Chen
International Journal of Approximate Reasoning 91, 22-35, 2017
302017
Pattern recognition for ship based on Bayesian networks
Q Wang, X Gao, D Chen
Fourth International Conference on Fuzzy Systems and Knowledge Discovery …, 2007
272007
A new supervised t-SNE with dissimilarity measure for effective data visualization and classification
L Hajderanj, I Weheliye, D Chen
Proceedings of the 8th International Conference on Software and Information …, 2019
232019
ME‐MADDPG: An efficient learning‐based motion planning method for multiple agents in complex environments
K Wan, D Wu, B Li, X Gao, Z Hu, D Chen
International Journal of Intelligent Systems 37 (3), 2393-2427, 2022
202022
Learning Bayesian networks based on order graph with ancestral constraints
Z Wang, X Gao, Y Yang, X Tan, D Chen
Knowledge-Based Systems 211, 106515, 2021
182021
Approximate inference for dynamic Bayesian networks: sliding window approach
XG Gao, JF Mei, HY Chen, DQ Chen
Applied intelligence 40, 575-591, 2014
172014
On the optimal structure design of multilayer feedforward neural networks for pattern recognition
D Chen, P Burrell
International journal of pattern recognition and artificial intelligence 16 …, 2002
172002
An adaptive dwell time scheduling model for phased array radar based on three-way decision
LI Bo, T Linyu, C Daqing, L Shiyang
Journal of Systems Engineering and Electronics 31 (3), 500-509, 2020
152020
Learning the structure of Bayesian networks with ancestral and/or heuristic partition
X Tan, X Gao, Z Wang, H Han, X Liu, D Chen
Information Sciences 584, 719-751, 2022
132022
A decision‐making method for air combat maneuver based on hybrid deep learning network
B Li, S Liang, D Chen, X Li
Chinese Journal of Electronics 31 (1), 107-115, 2022
132022
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