| The class imbalance problem: A systematic study N Japkowicz, S Stephen Intelligent data analysis 6 (5), 429-449, 2002 | 4243 | 2002 |
| Special issue on learning from imbalanced data sets NV Chawla, N Japkowicz, A Kotcz ACM SIGKDD explorations newsletter 6 (1), 1-6, 2004 | 3067 | 2004 |
| Beyond accuracy, F-score and ROC: a family of discriminant measures for performance evaluation M Sokolova, N Japkowicz, S Szpakowicz Australasian joint conference on artificial intelligence, 1015-1021, 2006 | 2569 | 2006 |
| Applying support vector machines to imbalanced datasets R Akbani, S Kwek, N Japkowicz Machine Learning: ECML 2004: 15th European Conference on Machine Learning …, 2004 | 1717 | 2004 |
| Evaluating learning algorithms: a classification perspective N Japkowicz, M Shah Cambridge University Press, 2011 | 1550 | 2011 |
| A multiple resampling method for learning from imbalanced data sets A Estabrooks, T Jo, N Japkowicz Computational intelligence 20 (1), 18-36, 2004 | 1355 | 2004 |
| The class imbalance problem: Significance and strategies N Japkowicz Proc. of the Int’l Conf. on artificial intelligence 56, 111-117, 2000 | 1236 | 2000 |
| Class imbalances versus small disjuncts T Jo, N Japkowicz ACM Sigkdd Explorations Newsletter 6 (1), 40-49, 2004 | 945 | 2004 |
| Learning from imbalanced data sets: a comparison of various strategies N Japkowicz AAAI workshop on learning from imbalanced data sets 68, 10-15, 2000 | 775 | 2000 |
| A novelty detection approach to classification N Japkowicz, C Myers, M Gluck IJCAI 1, 518-523, 1995 | 625 | 1995 |
| Anomaly detection in automobile control network data with long short-term memory networks A Taylor, S Leblanc, N Japkowicz 2016 IEEE international conference on data science and advanced analytics …, 2016 | 505 | 2016 |
| Frequency-based anomaly detection for the automotive CAN bus A Taylor, N Japkowicz, S Leblanc 2015 World Congress on Industrial Control Systems Security (WCICSS), 45-49, 2015 | 364 | 2015 |
| Boosting support vector machines for imbalanced data sets BX Wang, N Japkowicz Knowledge and information systems 25, 1-20, 2010 | 349 | 2010 |
| Class imbalances: are we focusing on the right issue N Japkowicz Workshop on learning from imbalanced data sets II 1723, 63, 2003 | 237 | 2003 |
| Nonlinear autoassociation is not equivalent to PCA N Japkowicz, SJ Hanson, MA Gluck Neural computation 12 (3), 531-545, 2000 | 234 | 2000 |
| Concept-Learning in the Presence of Between-Class and Within-Class Imbalances N Japkowicz Advances in Artificial Intelligence: 14th Biennial Conference of the …, 2001 | 230 | 2001 |
| Supervised versus unsupervised binary-learning by feedforward neural networks N Japkowicz Machine Learning 42, 97-122, 2001 | 217 | 2001 |
| Assessment metrics for imbalanced learning N Japkowicz Imbalanced learning: Foundations, algorithms, and applications, 187-206, 2013 | 213 | 2013 |
| Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods HL Crothers, E., Japkowicz, N., & Viktor IEEE Access 11, 70977-71002, 2022 | 180* | 2022 |
| A feature selection and evaluation scheme for computer virus detection O Henchiri, N Japkowicz Sixth International Conference on Data Mining (ICDM'06), 891-895, 2006 | 165 | 2006 |