| Learning from imbalanced data sets with boosting and data generation: the databoost-im approach H Guo, HL Viktor ACM Sigkdd Explorations Newsletter 6 (1), 30-39, 2004 | 659 | 2004 |
| Molecular dynamics, monte carlo simulations, and langevin dynamics: a computational review E Paquet, HL Viktor BioMed research international 2015, 2015 | 84 | 2015 |
| Fast hoeffding drift detection method for evolving data streams A Pesaranghader, HL Viktor Joint European conference on machine learning and knowledge discovery in …, 2016 | 62 | 2016 |
| SCUT: Multi-class imbalanced data classification using SMOTE and cluster-based undersampling A Agrawal, HL Viktor, E Paquet 2015 7Th international joint conference on knowledge discovery, knowledge …, 2015 | 54 | 2015 |
| Multirelational classification: a multiple view approach H Guo, HL Viktor Knowledge and Information Systems 17 (3), 287-312, 2008 | 49 | 2008 |
| Long-term preservation of 3-D cultural heritage data related to architectural sites E Paquet, HL Viktor Proceedings of the ISPRS Working Group 4, 1-8, 2005 | 47 | 2005 |
| Reduction of symbolic rules from artificial neural networks using sensitivity analysis HL Viktor, AP Engelbrecht, I Cloete Proceedings of ICNN'95-International Conference on Neural Networks 4, 1788-1793, 1995 | 36 | 1995 |
| Learning from imbalanced data using ensemble methods and cluster-based undersampling P Sobhani, H Viktor, S Matwin International Workshop on New Frontiers in Mining Complex Patterns, 69-83, 2014 | 34 | 2014 |
| Boosting with data generation: improving the classification of hard to learn examples H Guo, HL Viktor International Conference on Industrial, Engineering and Other Applications …, 2004 | 33 | 2004 |
| Exploring anthropometric data through cluster analysis O Abdali, H Viktor, E Paquet, M Rioux SAE transactions, 241-244, 2004 | 30 | 2004 |
| Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams A Pesaranghader, H Viktor, E Paquet Machine Learning 107 (11), 1711-1743, 2018 | 29 | 2018 |
| Long-term digital preservation: preserving authenticity and usability of 3-D data J Doyle, H Viktor, E Paquet International journal on digital libraries 10 (1), 33-47, 2009 | 26 | 2009 |
| McDiarmid drift detection methods for evolving data streams A Pesaranghader, HL Viktor, E Paquet 2018 International Joint Conference on Neural Networks (IJCNN), 1-9, 2018 | 25 | 2018 |
| Mining relational databases with multi-view learning H Guo, HL Viktor Proceedings of the 4th international workshop on Multi-relational mining, 15-24, 2005 | 25 | 2005 |
| Visualisation of Highly Textured Surfaces. SF El-Hakim, L Gonzo, M Picard, S Girardi, A Simoni, E Paquet, HL Viktor, ... VAST, 203-212, 2003 | 22 | 2003 |
| Measuring to fit: virtual tailoring through cluster analysis and classification HL Viktor, E Paquet, H Guo European Conference on Principles of Data Mining and Knowledge Discovery …, 2006 | 21 | 2006 |
| Adjustment of virtual mannequins through anthropometric measurements, cluster analysis, and content-based retrieval of 3-D body scans E Paquet, HL Viktor IEEE Transactions on Instrumentation and Measurement 56 (5), 1924-1929, 2007 | 17 | 2007 |
| Dynamic adaptation of online ensembles for drifting data streams MK Olorunnimbe, HL Viktor, E Paquet Journal of Intelligent Information Systems 50 (2), 291-313, 2018 | 16 | 2018 |
| Computational methods for Ab initio molecular dynamics E Paquet, HL Viktor Advances in Chemistry 2018, 9839641, 2018 | 16 | 2018 |
| Use of Performance Metrics to Forecast Success in the National Hockey League. J Weissbock, H Viktor, D Inkpen MLSA@ PKDD/ECML, 39-48, 2013 | 16 | 2013 |
Eric PaquetNational Research CouncilVerified email at nrc-cnrc.gc.ca
