| The class imbalance problem: A systematic study N Japkowicz, S Stephen Intelligent data analysis 6 (5), 429-449, 2002 | 3914 | 2002 |
| Special issue on learning from imbalanced data sets NV Chawla, N Japkowicz, A Kotcz ACM SIGKDD explorations newsletter 6 (1), 1-6, 2004 | 2893 | 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 | 2232 | 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 | 1657 | 2004 |
| Evaluating learning algorithms: a classification perspective N Japkowicz, M Shah Cambridge University Press, 2011 | 1441 | 2011 |
| A multiple resampling method for learning from imbalanced data sets A Estabrooks, T Jo, N Japkowicz Computational intelligence 20 (1), 18-36, 2004 | 1271 | 2004 |
| The class imbalance problem: Significance and strategies N Japkowicz Proc. of the Int’l Conf. on artificial intelligence 56, 111-117, 2000 | 1164 | 2000 |
| Class imbalances versus small disjuncts T Jo, N Japkowicz ACM Sigkdd Explorations Newsletter 6 (1), 40-49, 2004 | 888 | 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 | 749 | 2000 |
| A novelty detection approach to classification N Japkowicz, C Myers, M Gluck IJCAI 1, 518-523, 1995 | 596 | 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 | 463 | 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 | 334 | 2015 |
| Boosting support vector machines for imbalanced data sets BX Wang, N Japkowicz Knowledge and information systems 25, 1-20, 2010 | 328 | 2010 |
| Nonlinear autoassociation is not equivalent to PCA N Japkowicz, SJ Hanson, MA Gluck Neural computation 12 (3), 531-545, 2000 | 227 | 2000 |
| Class imbalances: are we focusing on the right issue N Japkowicz Workshop on learning from imbalanced data sets II 1723, 63, 2003 | 224 | 2003 |
| Concept-Learning in the Presence of Between-Class and Within-Class Imbalances N Japkowicz Advances in Artificial Intelligence: 14th Biennial Conference of the …, 2001 | 219 | 2001 |
| Supervised versus unsupervised binary-learning by feedforward neural networks N Japkowicz Machine Learning 42, 97-122, 2001 | 209 | 2001 |
| Assessment metrics for imbalanced learning N Japkowicz Imbalanced learning: Foundations, algorithms, and applications, 187-206, 2013 | 162 | 2013 |
| 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 | 159 | 2006 |
| Concept learning in the absence of counterexamples: An autoassociation-based approach to classification N Japkowicz Rutgers The State University of New Jersey, School of Graduate Studies, 1999 | 144 | 1999 |
