Nitesh V Chawla
Nitesh V Chawla
Frank Freimann Professor of Computer Science & Engg., Notre Dame
Verified email at nd.edu - Homepage
TitleCited byYear
SMOTE: synthetic minority over-sampling technique
NV Chawla, KW Bowyer, LO Hall, WP Kegelmeyer
Journal of Artificial Intelligence Research (JAIR) 16, 321-357, 2002
94132002
Heart disease and stroke statistics: 2006 update
American Heart Association
http://circ. ahajournals. org/cgi/reprint/CIRCULATIONAHA. 105.171600 v1, 2006
27932006
Special issue on learning from imbalanced data sets
NV Chawla, N Japkowicz, A Kotcz
ACM Sigkdd Explorations Newsletter 6 (1), 1-6, 2004
18082004
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
11582003
Data mining for imbalanced datasets: An overview
NV Chawla
Data mining and knowledge discovery handbook, 875-886, 2009
10602009
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
7022008
New perspectives and methods in link prediction
RN Lichtenwalter, JT Lussier, NV Chawla
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
6452010
metapath2vec: Scalable representation learning for heterogeneous networks
Y Dong, NV Chawla, A Swami
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
4012017
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
3072003
Bringing big data to personalized healthcare: a patient-centered framework
NV Chawla, DA Davis
Journal of general internal medicine 28 (3), 660-665, 2013
3062013
A unifying view on dataset shift in classification
JG Moreno-Torres, T Raeder, RO Alaiz-RodríGuez, NV Chawla, F Herrera
Pattern Recognition 45 (1), 521-530, 2012
2872012
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
2262012
Learning decision trees for unbalanced data
DA Cieslak, NV Chawla
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008
2232008
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
2142008
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
2132012
Identifying and evaluating community structure in complex networks
K Steinhaeuser, NV Chawla
Pattern Recognition Letters 31 (5), 413-421, 2010
1942010
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
1792012
Big data opportunities and challenges: Discussions from data analytics perspectives
ZH Zhou, NV Chawla, Y Jin, GJ Williams
IEEE Computational Intelligence Magazine 9 (4), 62-74, 2014
1712014
Inferring user demographics and social strategies in mobile social networks
Y Dong, Y Yang, J Tang, Y Yang, NV Chawla
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
1712014
Learning ensembles from bites: A scalable and accurate approach
NV Chawla, LO Hall, KW Bowyer, WP Kegelmeyer
Journal of Machine Learning Research 5 (Apr), 421-451, 2004
1532004
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