Multi-Objective Evolutionary Optimisation for Prototype-Based Fuzzy Classifiers
Journal Article
Gu, X., Li, M., Shen, L., Tang, G., Ni, Q., Peng, T., & Shen, Q. (in press)
Multi-Objective Evolutionary Optimisation for Prototype-Based Fuzzy Classifiers. IEEE Transactions on Fuzzy Systems, https://doi.org/10.1109/tfuzz.2022.3214241
Evolving intelligent systems (EISs), particularly, the zero-order ones have demonstrated strong performance on many real-world problems concerning data stream classification, ...
Semantic-Aware Real-Time Correlation Tracking Framework for UAV Videos
Journal Article
Xue, X., Li, Y., Yin, X., Shang, C., Peng, T., & Shen, Q. (2022)
Semantic-Aware Real-Time Correlation Tracking Framework for UAV Videos. IEEE Transactions on Cybernetics, 52(4), 2418-2429. https://doi.org/10.1109/tcyb.2020.3005453
Discriminative correlation filter (DCF) has contributed tremendously to address the problem of object tracking benefitting from its high computational efficiency. However, it ...
Visualization of Online Datasets
Journal Article
Peng, T., & Downie, C. (2017)
Visualization of Online Datasets. International Journal of Networked and Distributed Computing, 6(1), 11-23. https://doi.org/10.2991/ijndc.2018.6.1.2
As computing technology advances, computers are being used to orchestrate and advance wide spectrums of commercial and personal life, information visualization becomes even mo...
Feature selection Inspired classifier ensemble reduction.
Journal Article
Diao, R., Chao, F., Peng, T., Snooke, N., & Shen, Q. (2014)
Feature selection Inspired classifier ensemble reduction. IEEE Transactions on Cybernetics, 44, 1259-1268. https://doi.org/10.1109/TCYB.2013.2281820
Classifier ensembles constitute one of the main research directions in machine learning and data mining. The use of multiple classifiers generally allows better predictive per...
A comparison of techniques for name matching
Journal Article
Peng, T., Li, L., & Kennedy, J. (2012)
A comparison of techniques for name matching. GSTF journal on computing, 2,
Information explosion is a problem for everyone nowadays. It is a great challenge to all kinds of businesses to maintain high quality of data in their information applications...
A rule based taxonomy of dirty data.
Journal Article
Li, L., Peng, T., & Kennedy, J. (2011)
A rule based taxonomy of dirty data. GSTF journal on computing, 1(2), 140-148
There is a growing awareness that high quality of data is a key to today’s business success and that dirty data existing within data sources is one of the causes of poor data ...
A framework for data cleaning in data warehouses
Journal Article
Peng, T. (2008)
A framework for data cleaning in data warehouses. Enterprise Information Systems, 473-478
It is a persistent challenge to achieve a high quality of data in data warehouses. Data cleaning is a crucial task for such a challenge. To deal with this challenge, a set of ...