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ORCIDCemal Okan Sakar
Person information
- affiliation: Bahcesehir University, Department of Computer Engineering, Turkey
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2020 – today
- 2023
[j21]Burak Aytan
, Cemal Okan Sakar:
Deep learning-based Turkish spelling error detection with a multi-class false positive reduction model. Turkish J. Electr. Eng. Comput. Sci. 31(3): 581-595 (2023)- [j20]S. Nazmi Diker, Cemal Okan Sakar:
Creating CREATE queries with multi-task deep neural networks. Knowl. Based Syst. 266: 110416 (2023) - [j19]Ozan Veranyurt, Cemal Okan Sakar:
Concealed pistol detection from thermal images with deep neural networks. Multim. Tools Appl. 82(28): 44259-44275 (2023) - 2022
- [j18]Faruk Ozer, Cemal Okan Sakar:
An automated cryptocurrency trading system based on the detection of unusual price movements with a Time-Series Clustering-Based approach. Expert Syst. Appl. 200: 117017 (2022) - [c17]Burak Aytan, Cemal Okan Sakar:
Comparison of Transformer-Based Models Trained in Turkish and Different Languages on Turkish Natural Language Processing Problems. SIU 2022: 1-4 - [c16]Necip Gözüaçik, Gorkem Serbes, Eyup Kara, Eren Atas, Cemal Okan Sakar, H. Murat Yener, Sermin Borekci, Bora Korkmazer, Ridvan Karaali, Halide Kara, Zuleyha Gulmez, Talha Cogen, Ahmet Atas:
Performance Comparison of Oral, Laryngeal and Thoracic Sounds in the Detection of COVID-19 by Employing Machine Learning Techniques. SIU 2022: 1-4 - [c15]Deniz Köksal, M. Mert Alacan, Ecesu Olgun, Cemal Okan Sakar:
Natural Language Processing-Based Product Category Classification Model for E-Commerce. SIU 2022: 1-4 - 2021
- [j17]Necip Gözüaçik, Cemal Okan Sakar, Sercan Ozcan:
Social media-based opinion retrieval for product analysis using multi-task deep neural networks. Expert Syst. Appl. 183: 115388 (2021) - [j16]Sercan Ozcan, Cemal Okan Sakar, Metin Suloglu:
Human Resources Mining for Examination of R&D Progress and Requirements. IEEE Trans. Engineering Management 68(5): 1372-1387 (2021) - [c14]Hasan Avci, Cemal Okan Sakar:
A Dynamic Recurrent Neural Networks-Based Recommendation System for Banking Customers. SIU 2021: 1-4 - 2020
- [j15]Furkan Omerustaoglu, Cemal Okan Sakar, Gorkem Kar:
Distracted driver detection by combining in-vehicle and image data using deep learning. Appl. Soft Comput. 96: 106657 (2020) - [j14]Hünkar Can Tunç, Cemal Okan Sakar, Hulya Apaydin, Gorkem Serbes, Aysegul Günduz, Melih Tutuncu, Fikret Gürgen:
Estimation of Parkinson's disease severity using speech features and extreme gradient boosting. Medical Biol. Eng. Comput. 58(11): 2757-2773 (2020)
2010 – 2019
- 2019
- [j13]Cemal Okan Sakar, Gorkem Serbes, Aysegul Günduz, Hünkar Can Tunç, Hatice Nizam, Betul Erdogdu Sakar, Melih Tutuncu, Tarkan Aydin, M. Erdem Isenkul, Hulya Apaydin:
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. 74: 255-263 (2019) - [j12]Cemal Okan Sakar, Suleyman Olcay Polat, Mete Katircioglu, Yomi Kastro:
Real-time prediction of online shoppers' purchasing intention using multilayer perceptron and LSTM recurrent neural networks. Neural Comput. Appl. 31(10): 6893-6908 (2019) - [c13]Merih Bozbura, Hünkar Can Tunç, Miray Endican Kusak, Cemal Okan Sakar:
Detection of e-Commerce Anomalies using LSTM-recurrent Neural Networks. DATA 2019: 217-224 - [c12]Gizem Aras, Gülsah Ayhan, Mehmet Ali Sarikaya, A. Aylin Tokuç, Cemal Okan Sakar:
Forecasting Hotel Room Sales within Online Travel Agencies by Combining Multiple Feature Sets. ICPRAM 2019: 565-573 - [c11]Tülin Çakmak, Ahmet Tekin, Çagla Senel, Tugba Çoban, Zeynep Eda Uran, Cemal Okan Sakar:
Accurate Prediction of Advertisement Clicks based on Impression and Click-Through Rate using Extreme Gradient Boosting. ICPRAM 2019: 621-629 - 2018
- [c10]Ozde Tiryaki, Cemal Okan Sakar:
Nonlinear Feature Extraction using Multilayer Perceptron based Alternating Regression for Classification and Multiple-output Regression Problems. DATA 2018: 107-117 - [d3]Cemal Okan Sakar, Yomi Kastro:
Online Shoppers Purchasing Intention Dataset. UCI Machine Learning Repository, 2018
- [d2]Cemal Okan Sakar, Gorkem Serbes, Aysegul Günduz, Hatice Nizam, Betul Erdogdu Sakar:
Parkinson's Disease Classification. UCI Machine Learning Repository, 2018 - 2017
- [j11]Cemal Okan Sakar, Olcay Kursun:
Discriminative Feature Extraction by a Neural Implementation of Canonical Correlation Analysis. IEEE Trans. Neural Networks Learn. Syst. 28(1): 164-176 (2017) - 2015
- [j10]Nazife Cevik, Cemal Okan Sakar, Olcay Kursun:
Analysis of shared miRNAs of different species using ensemble CCA and genetic distance. Comput. Biol. Medicine 64: 261-267 (2015) - [c9]Betul Erdogdu Sakar, Cemal Okan Sakar, Gorkem Serbes, Olcay Kursun:
Determination of the optimal threshold value that can be discriminated by dysphonia measurements for unified Parkinson's Disease rating scale. BIBE 2015: 1-4 - 2014
- [b1]Cemal Okan Sakar:
Multi-view feature extraction based on canonical correlation analysis (Kanonik korelasyon tabanlı ç ok-bakış lı oznitelik ç ıkarımı). Boğaziçi University, Turkey, 2014 - [j9]Cemal Okan Sakar, Olcay Kursun, Fikret Gürgen:
Ensemble canonical correlation analysis. Appl. Intell. 40(2): 291-304 (2014) - [j8]Cemal Okan Sakar, Olcay Kursun, Huseyin Seker, Fikret Gürgen, Nizamettin Aydin, Oleg V. Favorov:
Combining multiple views: Case studies on protein and arrhythmia features. Eng. Appl. Artif. Intell. 28: 174-180 (2014) - [j7]Cemal Okan Sakar, Olcay Kursun, Huseyin Seker, Fikret Gürgen:
Combining multiple clusterings for protein structure prediction. Int. J. Data Min. Bioinform. 10(2): 162-174 (2014) - [c8]Fatma Gumus, Cemal Okan Sakar, Zeki Erdem, Olcay Kursun:
Online Naive Bayes classification for network intrusion detection. ASONAM 2014: 670-674 - [d1]Olcay Kursun, Betul Erdogdu Sakar, M. Erdem Isenkul, Cemal Okan Sakar, Ahmet Sertbas, Fikret S. Gürgen:
Parkinson Speech Dataset with Multiple Types of Sound Recordings. UCI Machine Learning Repository, 2014 - 2013
- [j6]Gorkem Serbes, Cemal Okan Sakar, Yasemin P. Kahya, Nizamettin Aydin:
Pulmonary crackle detection using time-frequency and time-scale analysis. Digit. Signal Process. 23(3): 1012-1021 (2013) - [j5]Betul Erdogdu Sakar, M. Erdem Isenkul, Cemal Okan Sakar, Ahmet Sertbas, Fikret Gürgen, Sakir Delil, Hulya Apaydin, Olcay Kursun:
Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings. IEEE J. Biomed. Health Informatics 17(4): 828-834 (2013) - 2012
- [j4]Cemal Okan Sakar, Olcay Kursun:
A method for combining mutual information and canonical correlation analysis: Predictive Mutual Information and its use in feature selection. Expert Syst. Appl. 39(3): 3333-3344 (2012) - [j3]Cemal Okan Sakar, Olcay Kursun, Fikret Gürgen:
A feature selection method based on kernel canonical correlation analysis and the minimum Redundancy-Maximum Relevance filter method. Expert Syst. Appl. 39(3): 3432-3437 (2012) - [c7]Cemal Okan Sakar, Olcay Kursun, Ali Karaali, Çigdem Eroglu Erdem:
Feature extraction for facial expression recognition by canonical correlation analysis. SIU 2012: 1-3 - [c6]Betul Erdogdu Sakar, Cemal Okan Sakar, Fikret Gürgen, Ahmet Sertbas, Olcay Kursun:
A validation method for comparing classifiers on imbalanced datasets. SIU 2012: 1-4 - [c5]Gorkem Serbes, Cemal Okan Sakar, Yasemin P. Kahya, Nizamettin Aydin:
Pulmonary crackle detection using time-frequency analysis. SIU 2012: 1-4 - 2011
- [j2]Cemal Okan Sakar, Goksel Demir, Olcay Kursun, Hüseyin Özdemir, Gökmen Altay, Senay Yalçin:
Feature Selection For The Prediction Of Tropospheric Ozone Concentration Using A Wrapper Method. Intell. Autom. Soft Comput. 17(4): 403-413 (2011) - [c4]Gorkem Serbes, Cemal Okan Sakar, Yasemin P. Kahya, Nizamettin Aydin:
Feature extraction using time-frequency/scale analysis and ensemble of feature sets for crackle detection. EMBC 2011: 3314-3317 - [c3]Gorkem Serbes, Cemal Okan Sakar, Yasemin P. Kahya, Nizamettin Aydin:
Effect of Different Window and Wavelet Types on the Performance of a Novel Crackle Detection Algorithm. ICHIT (1) 2011: 575-581 - 2010
- [j1]Cemal Okan Sakar, Olcay Kursun:
Telediagnosis of Parkinson's Disease Using Measurements of Dysphonia. J. Medical Syst. 34(4): 591-599 (2010) - [c2]Cemal Okan Sakar, Olcay Kursun, Huseyin Seker, Fikret Gürgen:
Prediction of Protein Sub-nuclear Location by Clustering mRMR Ensemble Feature Selection. ICPR 2010: 2572-2575 - [c1]Cemal Okan Sakar, Olcay Kursun:
A Hybrid Method for Feature Selection Based on Mutual Information and Canonical Correlation Analysis. ICPR 2010: 4360-4363
Coauthor Index
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