Seyda Ertekin

According to our database, Seyda Ertekin authored at least 34 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hierarchical reinforcement Thompson composition.

Güven Orkun Tanik, Seyda Ertekin

Neural Comput. Appl., July, 2024

2022

Linking COVID-19 Perception With Socioeconomic Conditions Using Twitter Data.

Egemen Sert, Oral Okan, Alper Özbilen, Seyda Ertekin, Suat Özdemir

IEEE Trans. Comput. Soc. Syst., 2022

Recursive Compositional Reinforcement Learning for Continuous Control.

Güven Orkun Tanik, Seyda Ertekin

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Alleviating Mode Collapse Problem in Deep Bayesian Active Learning.

Pinar Ezgi Duymus, Seyda Ertekin

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

2021

Feature Dimensionality Reduction with Variational Autoencoders in Deep Bayesian Active Learning.

Pinar Ezgi Çöl, Seyda Ertekin

Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

2019

Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition.

Ümit Çavus Büyüksahin, Seyda Ertekin

Neurocomputing, 2019

Prediction Model Selection with Frequency Check on Decomposed Time Series.

Ümit Çavus Büyüksahin, Seyda Ertekin

Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

Forecasting of Product Quality Through Anomaly Detection.

Mehmet Dinç, Seyda Ertekin, Hadi Özkan, Can Meydanli, Volkan Atalay

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

Learning customized and optimized lists of rules with mathematical programming.

Cynthia Rudin, Seyda Ertekin

Math. Program. Comput., 2018

Joint optimization of ordering and maintenance with condition monitoring data.

Ramin Moghaddass, Seyda Ertekin

Ann. Oper. Res., 2018

Identifying textual personal information using bidirectional LSTM networks.

Memduh Cagri Demir, Seyda Ertekin

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Time series forecasting using empirical mode decomposition and hybrid method.

Ümit Cavus Büyüksahin, Seyda Ertekin

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Short-Term Electricity Consumption Forecast Using Datasets of Various Granularities.

Yusuf Arslan, Aybike Simsek Dilbaz, Seyda Ertekin, Pinar Karagoz, Aysenur Birturk, Sinan Eren, Dilek Küçük

Proceedings of the Data Analytics for Renewable Energy Integration. Technologies, Systems and Society, 2018

2017

DDoS Attack Modeling and Detection Using SMO.

Salva Daneshgadeh, Nazife Baykal, Seyda Ertekin

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Ensemble of convolutional neural networks for classification of breast microcalcification from mammograms.

Egemen Sert, Seyda Ertekin, Ugur Halici

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2015

A Bayesian Approach to Learning Scoring Systems.

Seyda Ertekin, Cynthia Rudin

Big Data, 2015

2014

Analytics for Power Grid Distribution Reliability in New York City.

Cynthia Rudin, Seyda Ertekin, Rebecca J. Passonneau, Axinia Radeva, Ashish Tomar, Boyi Xie, Stanley Lewis, Mark Riddle, Debbie Pangsrivinij, Tyler H. McCormick

Interfaces, 2014

Approximating the crowd.

Seyda Ertekin, Cynthia Rudin, Haym Hirsh

Data Min. Knowl. Discov., 2014

2013

Adaptive Oversampling for Imbalanced Data Classification.

Seyda Ertekin

Proceedings of the Information Sciences and Systems 2013, 2013

Predicting Power Failures with Reactive Point Processes.

Seyda Ertekin, Cynthia Rudin, Tyler H. McCormick

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012

Learning to Predict the Wisdom of Crowds

Seyda Ertekin, Haym Hirsh, Cynthia Rudin

CoRR, 2012

Selective Sampling of Labelers for Approximating the Crowd.

Seyda Ertekin, Haym Hirsh, Cynthia Rudin

Proceedings of the Machine Aggregation of Human Judgment, 2012

2011

Nonconvex Online Support Vector Machines.

Seyda Ertekin, Léon Bottou, C. Lee Giles

IEEE Trans. Pattern Anal. Mach. Intell., 2011

On Equivalence Relationships Between Classification and Ranking Algorithms.

Seyda Ertekin, Cynthia Rudin

J. Mach. Learn. Res., 2011

2009

Finding topic trends in digital libraries.

Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee Giles

Proceedings of the 2009 Joint International Conference on Digital Libraries, 2009

Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation.

Levent Bolelli, Seyda Ertekin, C. Lee Giles

Proceedings of the Advances in Information Retrieval, 2009

2007

A clustering method for web data with multi-type interrelated components.

Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee Giles

Proceedings of the 16th International Conference on World Wide Web, 2007

K-SVMeans: A Hybrid Clustering Algorithm for Multi-Type Interrelated Datasets.

Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee Giles

Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Active learning for class imbalance problem.

Seyda Ertekin, Jian Huang, C. Lee Giles

Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Efficient Multiclass Boosting Classification with Active Learning.

Jian Huang, Seyda Ertekin, Yang Song, Hongyuan Zha, C. Lee Giles

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Learning on the border: active learning in imbalanced data classification.

Seyda Ertekin, Jian Huang, Léon Bottou, C. Lee Giles

Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

2006

Efficient Name Disambiguation for Large-Scale Databases.

Jian Huang, Seyda Ertekin, C. Lee Giles

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Clustering Scientific Literature Using Sparse Citation Graph Analysis.

Levent Bolelli, Seyda Ertekin, C. Lee Giles

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

2005

Fast Kernel Classifiers with Online and Active Learning.

Antoine Bordes, Seyda Ertekin, Jason Weston, Léon Bottou

J. Mach. Learn. Res., 2005