Most cited papers from Pattern Discovery Technologies (Canada)
What are the most cited papers from Pattern Discovery Technologies (Canada)?
The most cited paper from Pattern Discovery Technologies (Canada) is "CLASSIFICATION OF IMBALANCED DATA: A REVIEW" (Yanmin Sun, Andrew K. C. Wong, Mohamed S. Kamel, 2009), with 1,725 citations. Next come "Cost-sensitive boosting for classification of imbalanced data" (1,445) and "Boosting for Learning Multiple Classes with Imbalanced Class Distribution" (309).
Showing 14 of 14 papers. Every paper is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | CLASSIFICATION OF IMBALANCED DATA: A REVIEW Yanmin Sun, Andrew K. C. Wong, Mohamed S. Kamel · International Journal of Pattern Recognition and Artificial Intelligence | Jun 2009 | 1,725 |
| 2 | Cost-sensitive boosting for classification of imbalanced data Yanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong et al. · Pattern Recognition | 6 May 2007 | 1,445 |
| 3 | Boosting for Learning Multiple Classes with Imbalanced Class Distribution Yanmin Sun, Mohamed S. Kamel, Yang Wang · Proceedings | Dec 2006 | 309 |
| 4 | Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data Wai-Ho Au, Keith C. C. Chan, Alexander K.C. Wong et al. · IEEE Transactions on Computational Biology and Bioinformatics | Apr 2005 | 204 |
| 5 | Pattern discovery: a data driven approach to decision support Andrew K. C. Wong, Yang Wang · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) | Feb 2003 | 84 |
| 6 | From association to classification: inference using weight of evidence Yang Wang, Andrew K. C. Wong · IEEE Transactions on Knowledge and Data Engineering | May 2003 | 79 |
| 7 | Parameter Inference of Cost-Sensitive Boosting Algorithms Yanmin Sun, Andrew K. C. Wong, Yang Wang · Lecture notes in computer science | 2005 | 51 |
| 8 | A global optimal algorithm for class-dependent discretization of continuous data Lili Liu, Andrew K. C. Wong, Yan Wang · Intelligent Data Analysis | 26 Apr 2004 | 43 |
| 9 | Boosting an associative classifier Yunjia Sun, Y. Wang, Alexander K.C. Wong · IEEE Transactions on Knowledge and Data Engineering | 2 Jun 2006 | 35 |
| 10 | Generative and Discriminative Learning by CL-Net Yanmin Sun, Andrew K. C. Wong, Yang Wang · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) | 13 Jul 2007 | 2 |
| 11 | Adaptive post-filtering based on Local Binary Patterns Ying Liu, Dake He, Paul Fieguth | Sep 2012 | 2 |
| 12 | Generative and Discriminative Learning by CL-Net Yunjia Sun, Alex Wong, Y. Wang · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) | 2009 | 0 |
| 13 | Pattern Discovery as Event Association Andrew K. C. Wong, Yan Wang, Gary C.L. Li · Machine Learning | 4 Oct 2011 | 0 |
| 14 | 3D Modeling Based on Attributed Hypergrphs Rong Li, Andrew K. C. Wong · Kluwer Academic Publishers eBooks | 18 Jan 2006 | 0 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.