Nitesh V Chawla
Nitesh V Chawla
Frank Freimann Professor of Computer Science & Engg., Notre Dame
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SMOTE: synthetic minority over-sampling technique
NV Chawla, KW Bowyer, LO Hall, WP Kegelmeyer
Journal of Artificial Intelligence Research (JAIR) 16, 321-357, 2002
130422002
Data mining and knowledge discovery handbook
O Maimon, L Rokach
Springer 2 (2005), 2005
22832005
Special issue on learning from imbalanced data sets
NV Chawla, N Japkowicz, A Kotcz
ACM SIGKDD explorations newsletter 6 (1), 1-6, 2004
21562004
SMOTEBoost: Improving prediction of the minority class in boosting
NV Chawla, A Lazarevic, LO Hall, KW Bowyer
European conference on principles of data mining and knowledge discovery ¡¦, 2003
14092003
Data mining for imbalanced datasets: An overview
NV Chawla
Data mining and knowledge discovery handbook, 875-886, 2009
13542009
SVMs modeling for highly imbalanced classification
Y Tang, YQ Zhang, NV Chawla, S Krasser
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 ¡¦, 2008
8222008
metapath2vec: Scalable representation learning for heterogeneous networks
Y Dong, NV Chawla, A Swami
Proceedings of the 23rd ACM SIGKDD international conference on knowledge ¡¦, 2017
7932017
New perspectives and methods in link prediction
RN Lichtenwalter, JT Lussier, NV Chawla
Proceedings of the 16th ACM SIGKDD international conference on Knowledge ¡¦, 2010
7302010
A unifying view on dataset shift in classification
JG Moreno-Torres, T Raeder, R Alaiz-Rodríguez, NV Chawla, F Herrera
Pattern recognition 45 (1), 521-530, 2012
3962012
Bringing big data to personalized healthcare: a patient-centered framework
NV Chawla, DA Davis
Journal of general internal medicine 28 (3), 660-665, 2013
3872013
C4. 5 and imbalanced data sets: investigating the effect of sampling method, probabilistic estimate, and decision tree structure
NV Chawla
Proceedings of the ICML 3, 66, 2003
3412003
SMOTE for learning from imbalanced data: progress and challenges, marking the 15-year anniversary
A Fernández, S Garcia, F Herrera, NV Chawla
Journal of artificial intelligence research 61, 863-905, 2018
2792018
Learning decision trees for unbalanced data
DA Cieslak, NV Chawla
Joint European Conference on Machine Learning and Knowledge Discovery in ¡¦, 2008
2782008
When will it happen? relationship prediction in heterogeneous information networks
Y Sun, J Han, CC Aggarwal, NV Chawla
Proceedings of the fifth ACM international conference on Web search and data ¡¦, 2012
2602012
Automatically countering imbalance and its empirical relationship to cost
NV Chawla, DA Cieslak, LO Hall, A Joshi
Data Mining and Knowledge Discovery 17 (2), 225-252, 2008
2492008
Link prediction and recommendation across heterogeneous social networks
Y Dong, J Tang, S Wu, J Tian, NV Chawla, J Rao, H Cao
2012 IEEE 12th International conference on data mining, 181-190, 2012
2462012
Learning from streaming data with concept drift and imbalance: an overview
TR Hoens, R Polikar, NV Chawla
Progress in Artificial Intelligence 1 (1), 89-101, 2012
2232012
Big data opportunities and challenges: Discussions from data analytics perspectives [discussion forum]
ZH Zhou, NV Chawla, Y Jin, GJ Williams
IEEE Computational intelligence magazine 9 (4), 62-74, 2014
2162014
Identifying and evaluating community structure in complex networks
K Steinhaeuser, NV Chawla
Pattern Recognition Letters 31 (5), 413-421, 2010
2052010
Combating imbalance in network intrusion datasets.
DA Cieslak, NV Chawla, A Striegel
GrC, 732-737, 2006
1962006
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