Mingyu Zhong

According to our database, Mingyu Zhong authored at least 17 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

FTAP: Feature transferring autonomous machine learning pipeline.

Xing Wu, Cheng Chen, Pan Li, Mingyu Zhong, Jianjia Wang, Quan Qian, Peng Ding, Junfeng Yao, Yike Guo

Inf. Sci., 2022

2021

COVID-AL: The diagnosis of COVID-19 with deep active learning.

Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang, Jun Shi

Medical Image Anal., 2021

HAL: Hybrid active learning for efficient labeling in medical domain.

Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang

Neurocomputing, 2021

2020

VNF Chain Placement for Large Scale IoT of Intelligent Transportation.

Xing Wu, Jing Duan, Mingyu Zhong, Peng Li, Jianjia Wang

Sensors, 2020

The autonomous navigation and obstacle avoidance for USVs with ANOA deep reinforcement learning method.

Xing Wu, Haolei Chen, Changgu Chen, Mingyu Zhong, Shaorong Xie, Yike Guo, Hamido Fujita

Knowl. Based Syst., 2020

The assessment of small bowel motility with attentive deformable neural network.

Xing Wu, Mingyu Zhong, Yike Guo, Hamido Fujita

Inf. Sci., 2020

2019

The Collaborative Strategy of Multiple USVs with Deep Reinforcement Learning Method.

Xing Wu, Mingyu Zhong, Guofei Feng, Shaorong Xie, Yike Guo

Proceedings of the Advancing Technology Industrialization Through Intelligent Software Methodologies, Tools and Techniques, 2019

2017

Chinese Lyrics Generation Using Long Short-Term Memory Neural Network.

Xing Wu, Zhikang Du, Mingyu Zhong, Shuji Dai, Yazhou Liu

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

2010

An adaptive multiobjective approach to evolving ART architectures.

Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Christopher Sentelle, Mingyu Zhong

IEEE Trans. Neural Networks, 2010

2008

A <i>k</i> -norm pruning algorithm for decision tree classifiers based on error rate estimation.

Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos

Mach. Learn., 2008

Properties of the k-norm pruning algorithm for decision tree classifiers.

Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance.

Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007

Experiments with Safe muARTMAP : Effect of the network parameters on the network performance.

Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie

Neural Networks, 2007

Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks.

Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie

Neural Comput., 2007

Experiments with an innovative tree pruning algorithm.

Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

2006

Experiments with Safe ARTMAP and Comparisons to Other ART Networks.

Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie

Proceedings of the International Joint Conference on Neural Networks, 2006

Generalized Entropy for Splitting on Numerical Attributes in Decision Trees.

Mingyu Zhong, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006