Seyda Ertekin
Seyda Ertekin
Associate Professor @ ODTU and Computer Scientist & Researcher @ MIT
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Cited by
Cited by
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
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
Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition
‹« BŁyŁkşahin, Ş Ertekin
Neurocomputing 361, 151-163, 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
Active learning for class imbalance problem
S Ertekin, J Huang, CL Giles
Proceedings of the 30th annual international ACM SIGIR conference on†…, 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
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
Class Imbalance and Active Learning
J Attenberg, S Ertekin
Imbalanced Learning: Foundations, Algorithms, and Applications, 101, 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
Learning customized and optimized lists of rules with mathematical programming
C Rudin, Ş Ertekin
Mathematical Programming Computation 10, 659-702, 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
Adaptive Oversampling for Imbalanced Data Classification
S Ertekin
28th International Symposium on Computer and Information Sciences, 2013
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
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
On equivalence relationships between classification and ranking algorithms
Ş Ertekin, C Rudin
The Journal of Machine Learning Research 12, 2905-2929, 2011
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
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
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
Learning to predict the wisdom of crowds
S Ertekin, H Hirsh, C Rudin
arXiv preprint arXiv:1204.3611, 2012
Fast author name disambiguation in CiteSeer
J Huang, S Ertekin, CL Giles
ISI technical report 66, 2006
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