A Hybrid Method for Feature Selection Based on Mutual Information and Canonical Correlation Analysis. - Cemal Okan Sakar; Olcay Kursun (ICPR, 2010)

Prediction of Protein Sub-nuclear Location by Clustering mRMR Ensemble Feature Selection. - Cemal Okan Sakar; Olcay Kursun; Huseyin Seker; Fikret Gürgen (ICPR, 2010)

Telediagnosis of Parkinson's Disease Using Measurements of Dysphonia. - Cemal Okan Sakar; Olcay Kursun (J. Medical Syst., 2010)

Feature extraction using time-frequency/scale analysis and ensemble of feature sets for crackle detection. - Gorkem Serbes; Cemal Okan Sakar; Yasemin P. Kahya; Nizamettin Aydin (EMBC, 2011)

Effect of Different Window and Wavelet Types on the Performance of a Novel Crackle Detection Algorithm. - Gorkem Serbes; Cemal Okan Sakar; Yasemin P. Kahya; Nizamettin Aydin (ICHIT (1), 2011)

Feature Selection For The Prediction Of Tropospheric Ozone Concentration Using A Wrapper Method. - Cemal Okan Sakar; Goksel Demir; Olcay Kursun; Hüseyin Özdemir; Gökmen Altay; Senay Yalçin (Intell. Autom. Soft Comput., 2011)

Feature extraction for facial expression recognition by canonical correlation analysis. - Cemal Okan Sakar; Olcay Kursun; Ali Karaali; Çigdem Eroglu Erdem (SIU, 2012)

A validation method for comparing classifiers on imbalanced datasets. - Betul Erdogdu Sakar; Cemal Okan Sakar; Fikret Gürgen; Ahmet Sertbas; Olcay Kursun (SIU, 2012)

Pulmonary crackle detection using time-frequency analysis. - Gorkem Serbes; Cemal Okan Sakar; Yasemin P. Kahya; Nizamettin Aydin (SIU, 2012)

A method for combining mutual information and canonical correlation analysis: Predictive Mutual Information and its use in feature selection. - Cemal Okan Sakar; Olcay Kursun (Expert Syst. Appl., 2012)

A feature selection method based on kernel canonical correlation analysis and the minimum Redundancy-Maximum Relevance filter method. - Cemal Okan Sakar; Olcay Kursun; Fikret Gürgen (Expert Syst. Appl., 2012)

Pulmonary crackle detection using time-frequency and time-scale analysis. - Gorkem Serbes; Cemal Okan Sakar; Yasemin P. Kahya; Nizamettin Aydin (Digit. Signal Process., 2013)

Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings. - Betul Erdogdu Sakar; M. Erdem Isenkul; Cemal Okan Sakar; Ahmet Sertbas; Fikret Gürgen; Sakir Delil; Hulya Apaydin; Olcay Kursun (IEEE J. Biomed. Health Informatics, 2013)

Online Naive Bayes classification for network intrusion detection. - Fatma Gumus; Cemal Okan Sakar; Zeki Erdem; Olcay Kursun (ASONAM, 2014)

Ensemble canonical correlation analysis. - Cemal Okan Sakar; Olcay Kursun; Fikret Gürgen (Appl. Intell., 2014)

Combining multiple views: Case studies on protein and arrhythmia features. - Cemal Okan Sakar; Olcay Kursun; Huseyin Seker; Fikret Gürgen; Nizamettin Aydin; Oleg V. Favorov (Eng. Appl. Artif. Intell., 2014)

Combining multiple clusterings for protein structure prediction. - Cemal Okan Sakar; Olcay Kursun; Huseyin Seker; Fikret Gürgen (Int. J. Data Min. Bioinform., 2014)

Multi-view feature extraction based on canonical correlation analysis (Kanonik korelasyon tabanlı ç ok-bakış lı oznitelik ç ıkarımı) - Cemal Okan Sakar (2014)

Parkinson Speech Dataset with Multiple Types of Sound Recordings. - Olcay Kursun; Betul Erdogdu Sakar; M. Erdem Isenkul; Cemal Okan Sakar; Ahmet Sertbas; Fikret S. Gürgen (UCI Machine Learning Repository, 2014)

Determination of the optimal threshold value that can be discriminated by dysphonia measurements for unified Parkinson's Disease rating scale. - Betul Erdogdu Sakar; Cemal Okan Sakar; Gorkem Serbes; Olcay Kursun (BIBE, 2015)

Analysis of shared miRNAs of different species using ensemble CCA and genetic distance. - Nazife Cevik; Cemal Okan Sakar; Olcay Kursun (Comput. Biol. Medicine, 2015)

Discriminative Feature Extraction by a Neural Implementation of Canonical Correlation Analysis. - Cemal Okan Sakar; Olcay Kursun (IEEE Trans. Neural Networks Learn. Syst., 2017)

Nonlinear Feature Extraction using Multilayer Perceptron based Alternating Regression for Classification and Multiple-output Regression Problems. - Ozde Tiryaki; Cemal Okan Sakar (DATA, 2018)

Online Shoppers Purchasing Intention Dataset. - Cemal Okan Sakar; Yomi Kastro (UCI Machine Learning Repository, 2018)

Parkinson's Disease Classification. - Cemal Okan Sakar; Gorkem Serbes; Aysegul Günduz; Hatice Nizam; Betul Erdogdu Sakar (UCI Machine Learning Repository, 2018)

Detection of e-Commerce Anomalies using LSTM-recurrent Neural Networks. - Merih Bozbura; Hünkar Can Tunç; Miray Endican Kusak; Cemal Okan Sakar (DATA, 2019)

Forecasting Hotel Room Sales within Online Travel Agencies by Combining Multiple Feature Sets. - Gizem Aras; Gülsah Ayhan; Mehmet Ali Sarikaya; A. Aylin Tokuç; Cemal Okan Sakar (ICPRAM, 2019)

Accurate Prediction of Advertisement Clicks based on Impression and Click-Through Rate using Extreme Gradient Boosting. - Tülin Çakmak; Ahmet Tekin; Çagla Senel; Tugba Çoban; Zeynep Eda Uran; Cemal Okan Sakar (ICPRAM, 2019)

A comparative analysis of speech signal processing algorithms for Parkinson's disease classification and the use of the tunable Q-factor wavelet transform. - Cemal Okan Sakar; Gorkem Serbes; Aysegul Günduz; Hünkar Can Tunç; Hatice Nizam; Betul Erdogdu Sakar; Melih Tutuncu; Tarkan Aydin; M. Erdem Isenkul; Hulya Apaydin (Appl. Soft Comput., 2019)

Real-time prediction of online shoppers' purchasing intention using multilayer perceptron and LSTM recurrent neural networks. - Cemal Okan Sakar; Suleyman Olcay Polat; Mete Katircioglu; Yomi Kastro (Neural Comput. Appl., 2019)

Distracted driver detection by combining in-vehicle and image data using deep learning. - Furkan Omerustaoglu; Cemal Okan Sakar; Gorkem Kar (Appl. Soft Comput., 2020)

Estimation of Parkinson's disease severity using speech features and extreme gradient boosting. - Hünkar Can Tunç; Cemal Okan Sakar; Hulya Apaydin; Gorkem Serbes; Aysegul Günduz; Melih Tutuncu; Fikret Gürgen (Medical Biol. Eng. Comput., 2020)

A Dynamic Recurrent Neural Networks-Based Recommendation System for Banking Customers. - Hasan Avci; Cemal Okan Sakar (SIU, 2021)

Social media-based opinion retrieval for product analysis using multi-task deep neural networks. - Necip Gözüaçik; Cemal Okan Sakar; Sercan Ozcan (Expert Syst. Appl., 2021)

Human Resources Mining for Examination of R&D Progress and Requirements. - Sercan Ozcan; Cemal Okan Sakar; Metin Suloglu (IEEE Trans. Engineering Management, 2021)

Comparison of Transformer-Based Models Trained in Turkish and Different Languages on Turkish Natural Language Processing Problems. - Burak Aytan; Cemal Okan Sakar (SIU, 2022)

Performance Comparison of Oral, Laryngeal and Thoracic Sounds in the Detection of COVID-19 by Employing Machine Learning Techniques. - 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; et al. (SIU, 2022)

Natural Language Processing-Based Product Category Classification Model for E-Commerce. - Deniz Köksal; M. Mert Alacan; Ecesu Olgun; Cemal Okan Sakar (SIU, 2022)

An automated cryptocurrency trading system based on the detection of unusual price movements with a Time-Series Clustering-Based approach. - Faruk Ozer; Cemal Okan Sakar (Expert Syst. Appl., 2022)

Deep learning-based Turkish spelling error detection with a multi-class false positive reduction model. - Burak Aytan; Cemal Okan Sakar (Turkish J. Electr. Eng. Comput. Sci., 2023)

Creating CREATE queries with multi-task deep neural networks. - S. Nazmi Diker; Cemal Okan Sakar (Knowl. Based Syst., 2023)

Concealed pistol detection from thermal images with deep neural networks. - Ozan Veranyurt; Cemal Okan Sakar (Multim. Tools Appl., 2023)

Online Shoppers Purchasing Intention Dataset. - Cemal Okan Sakar; Suleyman Polat; Mete Katircioglu; Yomi Kastro (IEEE DataPort, 2025)

A statistical categorization-based curriculum learning approach for multi-task classification of images. - Ozan Veranyurt; Cemal Okan Sakar (Appl. Intell., 2025)