Seyda Ertekin

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C Lee GilesPennsylvania State UniversityVerified email at psu.edu
Jian HuangGoogleVerified email at google.com
Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke UniversityVerified email at cs.duke.edu
Leon BottouFacebook AI ResearchVerified email at bottou.org
Umit Cavus BuyuksahinPh.D. @METUVerified email at ceng.metu.edu.tr
Haym HirshComputer Science, Cornell UniversityVerified email at cornell.edu
Jason WestonMetaVerified email at fb.com
Antoine BordesHelsingVerified email at helsing.ai
Tyler H. McCormickUniversity of WashingtonVerified email at uw.edu
Egemen SertMiddle East Technical UniversityVerified email at metu.edu.tr
Vijay V RaghavanAlfred and Helen Lamson Endowed Professor in Computer Science, University of Louisiana at LafayetteVerified email at louisiana.edu
Cheehung henry ChuUniversity of Louisiana at LafayetteVerified email at louisiana.edu
Kemal EfeMiddle East Technical University, North Cyprus CampusVerified email at metu.edu.tr
Ugur Haliciprofessor of electrical engineering middle east technical universityVerified email at metu.edu.tr
Boyi XieColumbia UniversityVerified email at cs.columbia.edu
Rebecca J. PassonneauDepartment of Computer Science and Engineering, Penn StateVerified email at cse.psu.edu
Yang SongGoogle Research - Machine IntelligenceVerified email at google.com
Hongyuan ZhaThe Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
Salva Daneshgadeh CakmakciUniversity of BremenVerified email at uni-bremen.de
Pinar KaragozMETUVerified email at ceng.metu.edu.tr

Seyda Ertekin

Associate Professor @ ODTU and Computer Scientist & Researcher @ MIT

Verified email at metu.edu.tr

Machine learning Artificial intelligence Data Science


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Fast kernel classifiers with online and active learning. A Bordes, S Ertekin, J Weston, L Botton, N Cristianini Journal of machine learning research 6 (9), 2005	888	2005
Learning on the border: active learning in imbalanced data classification S Ertekin, J Huang, L Bottou, L Giles Proceedings of the sixteenth ACM conference on Conference on information and …, 2007	568	2007
Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition ÜÇ Büyükşahin, Ş Ertekin Neurocomputing 361, 151-163, 2019	292	2019
Efficient name disambiguation for large-scale databases J Huang, S Ertekin, CL Giles European conference on principles of data mining and knowledge discovery …, 2006	255	2006
Active learning for class imbalance problem S Ertekin, J Huang, CL Giles Proceedings of the 30th annual international ACM SIGIR conference on …, 2007	230	2007
Nonconvex online support vector machines S Ertekin, L Bottou, CL Giles IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (2), 368-381, 2010	196	2010
Topic and trend detection in text collections using latent dirichlet allocation L Bolelli, Ş Ertekin, CL Giles European conference on information retrieval, 776-780, 2009	166	2009
Class Imbalance and Active Learning J Attenberg, S Ertekin Imbalanced Learning: Foundations, Algorithms, and Applications, 101, 2013	87	2013
Reactive Point Processes: A New Approach to Predicting Power Failures in Underground Electrical Systems S Ertekin, C Rudin, T McCormick DSpace@MIT Sloan Working Paper Series; 5033-13, 2013	76	2013
Learning customized and optimized lists of rules with mathematical programming C Rudin, Ş Ertekin Mathematical Programming Computation 10, 659-702, 2018	57	2018
Clustering scientific literature using sparse citation graph analysis L Bolelli, S Ertekin, CL Giles Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on …, 2006	54	2006
Adaptive Oversampling for Imbalanced Data Classification S Ertekin 28th International Symposium on Computer and Information Sciences, 2013	52	2013
Ensemble of convolutional neural networks for classification of breast microcalcification from mammograms E Sert, S Ertekin, U Halici 2017 39th Annual International Conference of the IEEE Engineering in …, 2017	49	2017
Finding topic trends in digital libraries L Bolelli, S Ertekin, D Zhou, CL Giles Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries, 69-72, 2009	48	2009
On equivalence relationships between classification and ranking algorithms Ş Ertekin, C Rudin The Journal of Machine Learning Research 12, 2905-2929, 2011	41	2011
Analytics for power grid distribution reliability in New York City C Rudin, Ş Ertekin, R Passonneau, A Radeva, A Tomar, B Xie, S Lewis, ... Interfaces 44 (4), 364-383, 2014	38	2014
The shape of the Web and its implications for searching the Web K Efe, V Raghavan, H Chu, A Broadwater, L Bolelli, Ş Ertekin Bolelli	37	2000
Efficient multiclass boosting classification with active learning J Huang, S Ertekin, Y Song, H Zha, CL Giles Proceedings of the 2007 SIAM International Conference on Data Mining, 297-308, 2007	35	2007
Learning to predict the wisdom of crowds S Ertekin, H Hirsh, C Rudin arXiv preprint arXiv:1204.3611, 2012	29	2012
Fast author name disambiguation in CiteSeer J Huang, S Ertekin, CL Giles ISI technical report 66, 2006	22	2006

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