| Interval Set Clustering of Web Users with Rough K-Means P Lingras, C West Journal of Intelligent Information Systems 23, 5-16, 2004 | 699 | 2004 |
| Comparison of neofuzzy and rough neural networks P Lingras Information Sciences 110 (3-4), 207-215, 1998 | 237 | 1998 |
| Data mining using extensions of the rough set model PJ Lingras, YY Yao Journal of the American society for information science 49 (5), 415-422, 1998 | 232 | 1998 |
| Interpretations of belief functions in the theory of rough sets YY Yao, PJ Lingras Information sciences 104 (1-2), 81-106, 1998 | 218 | 1998 |
| Estimation of missing traffic counts using factor, genetic, neural, and regression techniques M Zhong, P Lingras, S Sharma Transportation Research Part C: Emerging Technologies 12 (2), 139-166, 2004 | 207 | 2004 |
| Soft clustering–fuzzy and rough approaches and their extensions and derivatives G Peters, F Crespo, P Lingras, R Weber International Journal of Approximate Reasoning 54 (2), 307-322, 2013 | 205 | 2013 |
| Rough set based 1-v-1 and 1-vr approaches to support vector machine multi-classification P Lingras, C Butz Information Sciences 177 (18), 3782-3798, 2007 | 149 | 2007 |
| Unsupervised rough set classification using GAs P Lingras Journal of intelligent information systems 16, 215-228, 2001 | 128 | 2001 |
| Rough cluster quality index based on decision theory P Lingras, M Chen, D Miao IEEE Transactions on Knowledge and Data Engineering 21 (7), 1014-1026, 2008 | 121 | 2008 |
| Genetically designed models for accurate imputation of missing traffic counts M Zhong, S Sharma, P Lingras Transportation Research Record 1879 (1), 71-79, 2004 | 115 | 2004 |
| Genetic algorithms for rerouting shortest paths in dynamic and stochastic networks C Davies, P Lingras European journal of operational research 144 (1), 27-38, 2003 | 110 | 2003 |
| Rough set clustering for web mining P Lingras 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE …, 2002 | 107 | 2002 |
| Time delay neural networks designed using genetic algorithms for short term inter-city traffic forecasting P Lingras, P Mountford International conference on industrial, engineering and other applications …, 2001 | 99 | 2001 |
| Prediction of recreational travel using genetically designed regression and time-delay neural network models P Lingras, S Sharma, M Zhong Transportation Research Record 1805 (1), 16-24, 2002 | 93 | 2002 |
| Application of neural networks to estimate AADT on low-volume roads S Sharma, P Lingras, F Xu, P Kilburn Journal of Transportation Engineering 127 (5), 426-432, 2001 | 92 | 2001 |
| Applying rough set concepts to clustering P Lingras, G Peters Rough Sets: Selected Methods and Applications in Management and Engineering …, 2012 | 88* | 2012 |
| Temporal analysis of clusters of supermarket customers: conventional versus interval set approach P Lingras, M Hogo, M Snorek, C West Information Sciences 172 (1-2), 215-240, 2005 | 83 | 2005 |
| Interval set clustering of web users using modified kohonen self-organizing maps based on the properties of rough sets P Lingras, M Hogo, M Snorek Web Intelligence and Agent Systems: An International Journal 2 (3), 217-225, 2004 | 80 | 2004 |
| Granular meta-clustering based on hierarchical, network, and temporal connections P Lingras, F Haider, M Triff Granular Computing 1, 71-92, 2016 | 78 | 2016 |
| Classifying highways: hierarchical grouping versus Kohonen neural networks P Lingras Journal of Transportation Engineering 121 (4), 364-368, 1995 | 78 | 1995 |
