Hong Xie
Affiliations:- Murdoch University, School of Engineering and Information Technology, Perth, Australia
According to our database1,
Hong Xie
authored at least 16 papers
between 2009 and 2020.
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Bibliography
2020
Unsupervised Text Feature Selection Using Memetic Dichotomous Differential Evolution.
Algorithms, 2020
2019
CoRR, 2019
A Hierarchical Classification Method Used to Classify Livestock Behaviour from Sensor Data.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 2019 11th International Conference on Computer and Automation Engineering, 2019
2018
Enhancing Digital Forensic Analysis Using Memetic Algorithm Feature Selection Method for Document Clustering.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Adaptive Crossover Memetic Differential Harmony Search for Optimizing Document Clustering.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2017
Text Dimensionality Reduction for Document Clustering Using Hybrid Memetic Feature Selection.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2017
Measures of Similarity in Memory-Based Collaborative Filtering Recommender System: A Comparison.
Proceedings of the 4th Multidisciplinary International Social Networks Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Differential Evolution Memetic Document Clustering Using Chaotic Logistic Local Search.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the 9th International Conference on Machine Learning and Computing, 2017
2012
Aust. J. Intell. Inf. Process. Syst., 2012
2010
A SOM-Based Document Clustering Using Frequent Max Substrings for Non-Segmented Texts.
J. Intell. Learn. Syst. Appl., 2010
2009
Non-segmented Document Clustering Using Self-Organizing Map and Frequent Max Substring Technique.
Proceedings of the Neural Information Processing, 16th International Conference, 2009