Yongzhen Ke
Orcid: 0000-0002-2792-8728
According to our database1,
Yongzhen Ke
authored at least 35 papers
between 2007 and 2025.
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Bibliography
2025
Image aesthetic assessment with weighted multi-region aggregation based on information theory.
Pattern Anal. Appl., June, 2025
Signal Image Video Process., May, 2025
Int. J. Comput. Intell. Appl., March, 2025
AnDR-BLIP2: enhanced semantic understanding framework for industrial image anomaly detection and report generation.
J. Frankl. Inst., 2025
Neurocomputing, 2025
A novel framework for aesthetic assessment of portrait sketches via multi-feature integration and self-supervised learning.
Expert Syst. Appl., 2025
2024
Multim. Syst., October, 2024
Int. J. Comput. Intell. Appl., September, 2024
Multim. Tools Appl., July, 2024
Multim. Syst., June, 2024
Personalized Image Aesthetics Assessment based on Graph Neural Network and Collaborative Filtering.
Knowl. Based Syst., 2024
A self-supervised image aesthetic assessment combining masked image modeling and contrastive learning.
J. Vis. Commun. Image Represent., 2024
Sketch to Chinese paintings: A three-stage progressive generation network via enhancing sketch.
J. Frankl. Inst., 2024
2023
Multim. Syst., October, 2023
Int. J. Comput. Intell. Appl., June, 2023
Spatial-invariant convolutional neural network for photographic composition prediction and automatic correction.
J. Vis. Commun. Image Represent., February, 2023
Expert Syst. Appl., 2023
IEEE Access, 2023
Proceedings of the Advances in Computer Graphics, 2023
2022
A composition-oriented aesthetic view recommendation network supervised by the simplified golden ratio theory.
Expert Syst. Appl., 2022
2021
Int. J. Heal. Inf. Syst. Informatics, 2021
Int. J. Digit. Crime Forensics, 2021
Int. J. Cogn. Informatics Nat. Intell., 2021
2020
Comput. Math. Methods Medicine, 2020
2019
Int. J. Reason. based Intell. Syst., 2019
2018
J. Comput. Methods Sci. Eng., 2018
Int. J. Digit. Crime Forensics, 2018
Adv. Multim., 2018
2013
Frontiers Comput. Sci., 2013
2011
Improvments of Payload-based Intrusion Detection Models by Using Noise Against Fuzzy SVM.
J. Networks, 2011
2007
An Unsupervised Host-Based Anomaly Intrusion Detection Technique Based on Non-negative Matrix Factorization.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007
Intrusion Detection Using Wavelet Transform and Non Negative Matrix Factorization.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007