Theo dõi
Nitesh V Chawla, Fellow: ACM, IEEE, AAAS, AAAI
Nitesh V Chawla, Fellow: ACM, IEEE, AAAS, AAAI
Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre Dame
Email được xác minh tại nd.edu - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
SMOTE: synthetic minority over-sampling technique
NV Chawla, KW Bowyer, LO Hall, WP Kegelmeyer
Journal of Artificial Intelligence Research (JAIR) 16, 321-357, 2002
343782002
Special issue on learning from imbalanced data sets
NV Chawla, N Japkowicz, A Kotcz
ACM SIGKDD explorations newsletter 6 (1), 1-6, 2004
30442004
metapath2vec: Scalable representation learning for heterogeneous networks
Y Dong, NV Chawla, A Swami
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
26952017
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
22892003
Data mining for imbalanced datasets: An overview
NV Chawla
Data mining and knowledge discovery handbook, 875-886, 2010
22112010
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
20812018
Heterogeneous graph neural network
C Zhang, D Song, C Huang, A Swami, NV Chawla
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
15952019
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
12642012
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
12092008
A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data
C Zhang, D Song, Y Chen, X Feng, C Lumezanu, W Cheng, J Ni, B Zong, ...
Proceedings of the AAAI conference on artificial intelligence 33 (01), 1409-1416, 2019
9542019
New perspectives and methods in link prediction
RN Lichtenwalter, JT Lussier, NV Chawla
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
9172010
Bringing big data to personalized healthcare: a patient-centered framework
NV Chawla, DA Davis
Journal of general internal medicine 28, 660-665, 2013
6222013
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
4242003
Combating imbalance in network intrusion datasets.
DA Cieslak, NV Chawla, A Striegel
GrC, 732-737, 2006
4222006
Learning decision trees for unbalanced data
DA Cieslak, NV Chawla
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008
4142008
Learning from streaming data with concept drift and imbalance: an overview
TR Hoens, R Polikar, NV Chawla
Progress in Artificial Intelligence 1, 89-101, 2012
4032012
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
3742014
DeepSMOTE: Fusing deep learning and SMOTE for imbalanced data
D Dablain, B Krawczyk, NV Chawla
IEEE transactions on neural networks and learning systems 34 (9), 6390-6404, 2022
3652022
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
3602012
Evaluating link prediction methods
Y Yang, RN Lichtenwalter, NV Chawla
Knowledge and Information Systems 45, 751-782, 2015
3512015
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