Nathalie Japkowicz
Nathalie Japkowicz
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The class imbalance problem: A systematic study
N Japkowicz, S Stephen
Intelligent data analysis 6 (5), 429-449, 2002
Special issue on learning from imbalanced data sets
NV Chawla, N Japkowicz, A Kotcz
ACM SIGKDD explorations newsletter 6 (1), 1-6, 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
Applying support vector machines to imbalanced datasets
R Akbani, S Kwek, N Japkowicz
Machine Learning: ECML 2004: 15th European Conference on Machine Learning …, 2004
Evaluating learning algorithms: a classification perspective
N Japkowicz, M Shah
Cambridge University Press, 2011
A multiple resampling method for learning from imbalanced data sets
A Estabrooks, T Jo, N Japkowicz
Computational intelligence 20 (1), 18-36, 2004
The class imbalance problem: Significance and strategies
N Japkowicz
Proc. of the Int’l Conf. on artificial intelligence 56, 111-117, 2000
Class imbalances versus small disjuncts
T Jo, N Japkowicz
ACM Sigkdd Explorations Newsletter 6 (1), 40-49, 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
A novelty detection approach to classification
N Japkowicz, C Myers, M Gluck
IJCAI 1, 518-523, 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
Boosting support vector machines for imbalanced data sets
BX Wang, N Japkowicz
Knowledge and information systems 25, 1-20, 2010
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
Class imbalances: are we focusing on the right issue
N Japkowicz
Workshop on learning from imbalanced data sets II 1723, 63, 2003
Nonlinear autoassociation is not equivalent to PCA
N Japkowicz, SJ Hanson, MA Gluck
Neural computation 12 (3), 531-545, 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
Supervised versus unsupervised binary-learning by feedforward neural networks
N Japkowicz
Machine Learning 42, 97-122, 2001
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
Assessment metrics for imbalanced learning
N Japkowicz
Imbalanced learning: Foundations, algorithms, and applications, 187-206, 2013
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
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