| Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange Y Kara, MA Boyacioglu, ÖK Baykan Expert systems with Applications 38 (5), 5311-5319, 2011 | 1188 | 2011 |
| A new hybrid method based on particle swarm optimization, ant colony optimization and 3-opt algorithms for traveling salesman problem M Mahi, ÖK Baykan, H Kodaz Applied Soft Computing 30, 484-490, 2015 | 430 | 2015 |
| Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit … MA Boyacioglu, Y Kara, ÖK Baykan Expert systems with applications 36 (2), 3355-3366, 2009 | 418 | 2009 |
| A parallel cooperative hybrid method based on ant colony optimization and 3-Opt algorithm for solving traveling salesman problem Ş Gülcü, M Mahi, ÖK Baykan, H Kodaz Soft Computing 22, 1669-1685, 2018 | 189 | 2018 |
| A novel modified bat algorithm hybridizing by differential evolution algorithm G Yildizdan, ÖK Baykan Expert Systems with Applications 141, 112949, 2020 | 95 | 2020 |
| A novel hybrid algorithm based on particle swarm and ant colony optimization for finding the global minimum MS Kıran, M Gündüz, ÖK Baykan Applied Mathematics and Computation 219 (4), 1515-1521, 2012 | 76 | 2012 |
| A new deep convolutional neural network model for classifying breast cancer histopathological images and the hyperparameter optimisation of the proposed model KC Burçak, ÖK Baykan, H Uğuz The Journal of Supercomputing 77 (1), 973-989, 2021 | 65 | 2021 |
| Prediction of middle school students' programming talent using artificial neural networks A Çetinkaya, ÖK Baykan Engineering Science and Technology, an International Journal 23 (6), 1301-1307, 2020 | 53 | 2020 |
| Assessment of exercise stress testing with artificial neural network in determining coronary artery disease and predicting lesion localization I Babaoglu, OK Baykan, N Aygul, K Ozdemir, M Bayrak Expert Systems with Applications 36 (2), 2562-2566, 2009 | 46 | 2009 |
| Predicting 10-day mortality in patients with strokes using neural networks and multivariate statistical methods G Çelik, ÖK Baykan, Y Kara, H Tireli Journal of Stroke and Cerebrovascular Diseases 23 (6), 1506-1512, 2014 | 43 | 2014 |
| Boundary constrained voxel segmentation for 3D point clouds using local geometric differences A Saglam, HB Makineci, NA Baykan, ÖK Baykan Expert Systems with Applications 157, 113439, 2020 | 34 | 2020 |
| A new approach based on particle swarm optimization algorithm for solving data allocation problem M Mahi, OK Baykan, H Kodaz Applied Soft Computing 62, 571-578, 2018 | 30 | 2018 |
| Force feedback control of lower extremity exoskeleton assisting of load carrying human Y Şahin, FM Botsalı, M Kalyoncu, M Tinkir, Ü Önen, N Yılmaz, ÖK Baykan, ... Applied Mechanics and Materials 598, 546-550, 2014 | 21 | 2014 |
| A new algorithm based on artificial bee colony algorithm for energy demand forecasting in Turkey H Uguz, H Hakli, ÖK Baykan 2015 4th International Conference on Advanced Computer Science Applications …, 2015 | 20 | 2015 |
| A new feature selection method for text categorization based on information gain and particle swarm optimization F Yi̇ği̇t, ÖK Baykan 2014 IEEE 3rd International conference on cloud computing and intelligence …, 2014 | 19 | 2014 |
| Training of artificial neural network using metaheuristic algorithm S Alwaisi, ÖK Baykan | 17 | 2017 |
| Bone age determination in young children (newborn to 6 years old) using support vector machines GÜRE GÜRAKSIN, H Uğuz, ÖK Baykan Turkish Journal of Electrical Engineering and Computer Sciences 24 (3), 1693 …, 2016 | 16 | 2016 |
| Determination of damage levels of RC columns with a smart system oriented method G Dogan, MH Arslan, OK Baykan Bulletin of Earthquake Engineering 18 (7), 3223-3245, 2020 | 15 | 2020 |
| Detection of tumor with Otsu-PSO method on brain MR image MÜ Özıç, Y Özbay, ÖK Baykan 2014 22nd signal processing and communications applications conference (SIU …, 2014 | 14 | 2014 |
| Shear strength predicting of FRP-strengthened RC beams by using artificial neural networks G Yavuz, MH Arslan, OK Baykan Science and Engineering of Composite Materials 21 (2), 239-255, 2014 | 13 | 2014 |
Mostafa MahiAssociate in Computer Engineering, Payame Noor UniversityVerified email at pnu.ac.ir
