| Collection and analysis of a Parkinson speech dataset with multiple types of sound recordings BE Sakar, ME Isenkul, CO Sakar, A Sertbas, F Gurgen, S Delil, H Apaydin, ... IEEE Journal of Biomedical and Health Informatics 17 (4), 828-834, 2013 | 675 | 2013 |
| A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform CO Sakar, G Serbes, A Gunduz, HC Tunc, H Nizam, BE Sakar, M Tutuncu, ... Applied Soft Computing 74, 255-263, 2019 | 440 | 2019 |
| Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks CO Sakar, SO Polat, M Katircioglu, Y Kastro Neural Computing and Applications 31 (10), 6893-6908, 2019 | 244 | 2019 |
| Telediagnosis of Parkinson’s disease using measurements of dysphonia CO Sakar, O Kursun Journal of medical systems 34, 591-599, 2010 | 239 | 2010 |
| Analyzing the effectiveness of vocal features in early telediagnosis of Parkinson's disease B Erdogdu Sakar, G Serbes, CO Sakar PloS one 12 (8), e0182428, 2017 | 134 | 2017 |
| Pulmonary crackle detection using time–frequency and time–scale analysis G Serbes, CO Sakar, YP Kahya, N Aydin Digital Signal Processing 23 (3), 1012-1021, 2013 | 94 | 2013 |
| A feature selection method based on kernel canonical correlation analysis and the minimum Redundancy–Maximum Relevance filter method CO Sakar, O Kursun, F Gurgen Expert Systems with Applications 39 (3), 3432-3437, 2012 | 88 | 2012 |
| Distracted driver detection by combining in-vehicle and image data using deep learning F Omerustaoglu, CO Sakar, G Kar Applied Soft Computing 96, 106657, 2020 | 71 | 2020 |
| Online Naive Bayes classification for network intrusion detection F Gumus, CO Sakar, Z Erdem, O Kursun 2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014 | 57 | 2014 |
| Feature extraction using time-frequency/scale analysis and ensemble of feature sets for crackle detection G Serbes, CO Sakar, YP Kahya, N Aydin 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 50 | 2011 |
| Social media mining for ideation: Identification of sustainable solutions and opinions S Ozcan, M Suloglu, CO Sakar, S Chatufale Technovation 107, 102322, 2021 | 40 | 2021 |
| Using covariates for improving the minimum redundancy maximum relevance feature selection method O Kurşun, CO ŞAKAR, O Favorov, N Aydin, SF GÜRGEN Turkish Journal of Electrical Engineering and Computer Sciences 18 (6), 975-989, 2010 | 32 | 2010 |
| Estimation of Parkinson’s disease severity using speech features and extreme gradient boosting HC Tunc, CO Sakar, H Apaydin, G Serbes, A Gunduz, M Tutuncu, ... Medical & Biological Engineering & Computing 58, 2757-2773, 2020 | 29 | 2020 |
| A method for combining mutual information and canonical correlation analysis: predictive mutual information and its use in feature selection CO Sakar, O Kursun Expert Systems with Applications 39 (3), 3333-3344, 2012 | 28 | 2012 |
| Discriminative feature extraction by a neural implementation of canonical correlation analysis CO Sakar, O Kursun IEEE Transactions on neural networks and learning systems 28 (1), 164-176, 2015 | 27 | 2015 |
| Social media-based opinion retrieval for product analysis using multi-task deep neural networks N Gozuacik, CO Sakar, S Ozcan Expert Systems with Applications 183, 115388, 2021 | 24 | 2021 |
| An automated cryptocurrency trading system based on the detection of unusual price movements with a Time-Series Clustering-Based approach F Ozer, CO Sakar Expert Systems with Applications 200, 117017, 2022 | 21 | 2022 |
| Ensemble canonical correlation analysis CO Sakar, O Kursun, F Gurgen Applied intelligence 40, 291-304, 2014 | 20 | 2014 |
| Human Resources Mining for Examination of R&D Progress and Requirements S Ozcan, CO Sakar, M Suloglu IEEE Transactions on Engineering Management, 2020 | 18 | 2020 |
| A hybrid method for feature selection based on mutual information and canonical correlation analysis CO Sakar, O Kursun 2010 20th International Conference on Pattern Recognition, 4360-4363, 2010 | 18 | 2010 |
