Cemal Okan Sakar
Orcid: 0000-0003-0639-4867Affiliations:
- Bahcesehir University, Department of Computer Engineering, Turkey
According to our database1,
Cemal Okan Sakar
authored at least 42 papers
between 2010 and 2023.
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Bibliography
2023
Multim. Tools Appl., November, 2023
Knowl. Based Syst., April, 2023
Deep learning-based Turkish spelling error detection with a multi-class false positive reduction model.
Turkish J. Electr. Eng. Comput. Sci., 2023
2022
An automated cryptocurrency trading system based on the detection of unusual price movements with a Time-Series Clustering-Based approach.
Expert Syst. Appl., 2022
Natural Language Processing-Based Product Category Classification Model for E-Commerce.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022
Performance Comparison of Oral, Laryngeal and Thoracic Sounds in the Detection of COVID-19 by Employing Machine Learning Techniques.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022
Comparison of Transformer-Based Models Trained in Turkish and Different Languages on Turkish Natural Language Processing Problems.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022
2021
IEEE Trans. Engineering Management, 2021
Social media-based opinion retrieval for product analysis using multi-task deep neural networks.
Expert Syst. Appl., 2021
A Dynamic Recurrent Neural Networks-Based Recommendation System for Banking Customers.
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021
2020
Estimation of Parkinson's disease severity using speech features and extreme gradient boosting.
Medical Biol. Eng. Comput., 2020
Distracted driver detection by combining in-vehicle and image data using deep learning.
Appl. Soft Comput., 2020
2019
Real-time prediction of online shoppers' purchasing intention using multilayer perceptron and LSTM recurrent neural networks.
Neural Comput. Appl., 2019
A comparative analysis of speech signal processing algorithms for Parkinson's disease classification and the use of the tunable Q-factor wavelet transform.
Appl. Soft Comput., 2019
Accurate Prediction of Advertisement Clicks based on Impression and Click-Through Rate using Extreme Gradient Boosting.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019
Forecasting Hotel Room Sales within Online Travel Agencies by Combining Multiple Feature Sets.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019
Proceedings of the 8th International Conference on Data Science, 2019
2018
Nonlinear Feature Extraction using Multilayer Perceptron based Alternating Regression for Classification and Multiple-output Regression Problems.
Proceedings of the 7th International Conference on Data Science, 2018
2017
Discriminative Feature Extraction by a Neural Implementation of Canonical Correlation Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2017
2015
Analysis of shared miRNAs of different species using ensemble CCA and genetic distance.
Comput. Biol. Medicine, 2015
Determination of the optimal threshold value that can be discriminated by dysphonia measurements for unified Parkinson's Disease rating scale.
Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015
2014
Dataset, June, 2014
Multi-view feature extraction based on canonical correlation analysis (Kanonik korelasyon tabanlı ç ok-bakış lı oznitelik ç ıkarımı)
PhD thesis, 2014
Int. J. Data Min. Bioinform., 2014
Eng. Appl. Artif. Intell., 2014
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014
2013
Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings.
IEEE J. Biomed. Health Informatics, 2013
Digit. Signal Process., 2013
2012
A feature selection method based on kernel canonical correlation analysis and the minimum Redundancy-Maximum Relevance filter method.
Expert Syst. Appl., 2012
A method for combining mutual information and canonical correlation analysis: Predictive Mutual Information and its use in feature selection.
Expert Syst. Appl., 2012
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012
Feature extraction for facial expression recognition by canonical correlation analysis.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012
2011
Feature Selection For The Prediction Of Tropospheric Ozone Concentration Using A Wrapper Method.
Intell. Autom. Soft Comput., 2011
Effect of Different Window and Wavelet Types on the Performance of a Novel Crackle Detection Algorithm.
Proceedings of the Convergence and Hybrid Information Technology, 2011
Feature extraction using time-frequency/scale analysis and ensemble of feature sets for crackle detection.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
J. Medical Syst., 2010
Prediction of Protein Sub-nuclear Location by Clustering mRMR Ensemble Feature Selection.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
A Hybrid Method for Feature Selection Based on Mutual Information and Canonical Correlation Analysis.
Proceedings of the 20th International Conference on Pattern Recognition, 2010