‪Nitesh V Chawla, Fellow: ACM, IEEE, AAAS, AAAI‬

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Kevin W. BowyerSchubmehl-Prein Family Professor of Computer Science and Engineering, University of Notre DamePreverjeni e-poštni naslov na nd.edu
Lawrence HallProfessor of Computer Science and Engineering, University of South FloridaPreverjeni e-poštni naslov na usf.edu
Chuxu ZhangAssociate Professor of CSE, University of Connecticut (UConn)Preverjeni e-poštni naslov na uconn.edu
William Philip KegelmeyerSandia National LaboratoriesPreverjeni e-poštni naslov na sandia.gov
Yuxiao DongCS, Tsinghua UniversityPreverjeni e-poštni naslov na tsinghua.edu.cn
Chao HuangAssistant Professor of Computer Science, University of Hong KongPreverjeni e-poštni naslov na hku.hk
David CieslakVP of Predictive ModelingPreverjeni e-poštni naslov na aunalytics.com
Meng JiangUniversity of Notre DamePreverjeni e-poštni naslov na nd.edu
Yang YangMendoza College of Business, University of Notre DamePreverjeni e-poštni naslov na nd.edu
Karsten SteinhaeuserComputer Science and Engineering, University of MinnesotaPreverjeni e-poštni naslov na umn.edu
Troy RaederTwo SigmaPreverjeni e-poštni naslov na twosigma.com
Xian WuUniversity of Notre Dame, PinterestPreverjeni e-poštni naslov na alumni.nd.edu
Keith FeldmanChildren's Mercy Kansas CityPreverjeni e-poštni naslov na cmh.edu
Jian Xu 徐健Senior Data Scientist @ Citadel | Ph.D. in Computer SciencePreverjeni e-poštni naslov na jianxu.net
Aaron StriegelProfessor, Department of Computer Science and Engineering, University of Notre DamePreverjeni e-poštni naslov na nd.edu
Auroop R GangulyCOE Distinguished Professor, Fellow ASCE, Distinguished Member ACM, Northeastern University, BostonPreverjeni e-poštni naslov na northeastern.edu
Reid A. JohnsonZillow GroupPreverjeni e-poštni naslov na nd.edu
Louis FaustAssistant Professor of Biomedical Informatics, Mayo ClinicPreverjeni e-poštni naslov na mayo.edu
Tang JieWeBank Chair Professor, Tsinghua UniversityPreverjeni e-poštni naslov na tsinghua.edu.cn
David HachenProfessor of Sociology, University of Notre DamePreverjeni e-poštni naslov na nd.edu

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Nitesh V Chawla, Fellow: ACM, IEEE, AAAS, AAAI

Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre Dame

Preverjeni e-poštni naslov na nd.edu - Domača stran

Data science artificial intelligence network science


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
SMOTE: synthetic minority over-sampling technique NV Chawla, KW Bowyer, LO Hall, WP Kegelmeyer Journal of Artificial Intelligence Research (JAIR) 16, 321-357, 2002	34484	2002
Special issue on learning from imbalanced data sets NV Chawla, N Japkowicz, A Kotcz ACM SIGKDD explorations newsletter 6 (1), 1-6, 2004	3048	2004
metapath2vec: Scalable representation learning for heterogeneous networks Y Dong, NV Chawla, A Swami Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017	2707	2017
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	2292	2003
Data mining for imbalanced datasets: An overview NV Chawla Data mining and knowledge discovery handbook, 875-886, 2010	2213	2010
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	2096	2018
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	1605	2019
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	1267	2012
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	1210	2008
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	961	2019
New perspectives and methods in link prediction RN Lichtenwalter, JT Lussier, NV Chawla Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	917	2010
Bringing big data to personalized healthcare: a patient-centered framework NV Chawla, DA Davis Journal of general internal medicine 28, 660-665, 2013	623	2013
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	424	2003
Combating imbalance in network intrusion datasets. DA Cieslak, NV Chawla, A Striegel GrC, 732-737, 2006	423	2006
Learning decision trees for unbalanced data DA Cieslak, NV Chawla Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008	414	2008
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	403	2012
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	377	2022
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	374	2014
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	360	2012
Evaluating link prediction methods Y Yang, RN Lichtenwalter, NV Chawla Knowledge and Information Systems 45, 751-782, 2015	352	2015

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