Seyda Ertekin

According to our database1, Seyda Ertekin authored at least 34 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Hierarchical reinforcement Thompson composition.
Neural Comput. Appl., July, 2024

2022
Linking COVID-19 Perception With Socioeconomic Conditions Using Twitter Data.
IEEE Trans. Comput. Soc. Syst., 2022

Recursive Compositional Reinforcement Learning for Continuous Control.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Alleviating Mode Collapse Problem in Deep Bayesian Active Learning.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

2021
Feature Dimensionality Reduction with Variational Autoencoders in Deep Bayesian Active Learning.
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.
Neurocomputing, 2019

Prediction Model Selection with Frequency Check on Decomposed Time Series.
Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

Forecasting of Product Quality Through Anomaly Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
Learning customized and optimized lists of rules with mathematical programming.
Math. Program. Comput., 2018

Joint optimization of ordering and maintenance with condition monitoring data.
Ann. Oper. Res., 2018

Identifying textual personal information using bidirectional LSTM networks.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Time series forecasting using empirical mode decomposition and hybrid method.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Short-Term Electricity Consumption Forecast Using Datasets of Various Granularities.
Proceedings of the Data Analytics for Renewable Energy Integration. Technologies, Systems and Society, 2018

2017
DDoS Attack Modeling and Detection Using SMO.
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.
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.
Big Data, 2015

2014
Analytics for Power Grid Distribution Reliability in New York City.
Interfaces, 2014

Approximating the crowd.
Data Min. Knowl. Discov., 2014

2013
Adaptive Oversampling for Imbalanced Data Classification.
Proceedings of the Information Sciences and Systems 2013, 2013

Predicting Power Failures with Reactive Point Processes.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012
Learning to Predict the Wisdom of Crowds
CoRR, 2012

Selective Sampling of Labelers for Approximating the Crowd.
Proceedings of the Machine Aggregation of Human Judgment, 2012

2011
Nonconvex Online Support Vector Machines.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

On Equivalence Relationships Between Classification and Ranking Algorithms.
J. Mach. Learn. Res., 2011

2009
Finding topic trends in digital libraries.
Proceedings of the 2009 Joint International Conference on Digital Libraries, 2009

Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation.
Proceedings of the Advances in Information Retrieval, 2009

2007
A clustering method for web data with multi-type interrelated components.
Proceedings of the 16th International Conference on World Wide Web, 2007

K-SVMeans: A Hybrid Clustering Algorithm for Multi-Type Interrelated Datasets.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Active learning for class imbalance problem.
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.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Learning on the border: active learning in imbalanced data classification.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

2006
Efficient Name Disambiguation for Large-Scale Databases.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Clustering Scientific Literature Using Sparse Citation Graph Analysis.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

2005
Fast Kernel Classifiers with Online and Active Learning.
J. Mach. Learn. Res., 2005


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