Dr. Turker Ince

Associate Professor
Izmir University of Economics, Turkiye

Highest Degree
Ph.D. in Electrical Engineering from University of Massachusetts, USA

My URL
https://livedna.org/90.10899

Share this Profile

Biography

Dr. Turker Ince is an Associate Professor and Head of Department at Izmir University of Economics, Turkey. He earned his Ph.D. in Electrical Engineering from University of Massachusetts, USA. His main area of interest focuses on Computer Sciences, Remote Sensing, Evolutionary Optimization, and Machine Learning. His area of expertise includes Remote Sensing, Evolutionary Optimization, Biomedical Signal Processing, Electromagnetic Target Classification, Radar Signal Processing, Machine Learning, and SAR Image Classification. He has 27 publications in journals contributed as author/co-author.

Area of Interest:

Computer Sciences
Remote Sensing
Machine Learning
Neural Networks
Biomedical Signal Processing

Selected Publications

  1. Vuruskan, A., T. Ince, E. Bulgun and C. Guzelis, 2015. Intelligent fashion styling using genetic search and neural classification. Int. J. Cloth. Sci. Technol., 27: 283-301.
    Direct Link  |  

  2. Kiranyaz, S., T. Ince and M. Gabbouj, 2015. Real-time patient-specific ECG classification by 1D convolutional neural networks. IEEE Trans. Biomed. Eng. 10.1109/TBME.2015.2468589.
    CrossRef  |  Direct Link  |  

  3. Kiranyaz, S., T. Ince, M. Zabihi and D. Ince, 2014. Automated patient-specific classification of long-term Electroencephalography. J. Biomed. Informat., 49: 16-31.
    PubMed  |  

  4. Kiranyaz, S., T. Ince and M. Gabbouj, 2013. Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition. Springer-Verlag, Heidelberg, Pages: 321.

  5. Kiranyaz, S., T. Ince, S. Uhlmann and M. Gabbouj, 2012. Collective network of binary classifier framework for polarimetric SAR image classification: An evolutionary approach. IEEE Trans. Syst. Man Cybernetics, Part B: Cybernetics, 42: 1169-1186.
    CrossRef  |  Direct Link  |  

  6. Ince, T., S. Kiranyaz and M. Gabbouj, 2012. Evolutionary RBF classifier for polarimetric SAR images. Expert Syst. Applic., 39: 4710-4717.
    CrossRef  |  Direct Link  |  

  7. Kiranyaz, S., T. Ince, J. Pulkkinen, M. Gabbouj and J. Arje et al., 2011. Classification and retrieval on macroinvertebrate image databases. Comput. Biol. Med., 41: 463-472.
    CrossRef  |  Direct Link  |  

  8. Kiranyaz, S., T. Ince and M. Gabbouj, 2011. Stochastic approximation driven particle swarm optimization with simultaneous perturbation: Who will guide the guide? Applied Soft Comput., 11: 2334-2347.
    CrossRef  |  Direct Link  |  

  9. Ince, T., S. Kiranyaz, J. Pulkkinen and M. Gabbouj, 2011. Evaluation of global and local training techniques over feed-forward neural network architecture spaces for computer-aided medical diagnosis. Expert Syst. Appli. : Int. J., 37: 8450-8461.
    CrossRef  |  Direct Link  |  

  10. Ince, T., S. Kiranyaz and M. Gabbouj, 2011. A Generic and Patient-Specific Electrocardiogram Signal Classification System. In: ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence, Gacek, A. and W. Pedrycz (Eds.). Springer, Germany.

  11. Kiranyaz, S., T. Ince, A. Yildirim and M. Gabbouj, 2010. Fractional particle swarm optimization in multidimensional search space. IEEE Trans. Syst. Man Cybernetics, Part B: Cybernetics, 40: 298-319.
    CrossRef  |  Direct Link  |  

  12. Ince, T., 2010. Unsupervised classification of polarimetric SAR image with dynamic clustering: An image processing approach. Adv. Eng. Software, 41: 636-646.
    CrossRef  |  

  13. Ince, T., 2010. FMCW radar performance for atmospheric measurements. Radioengineering, 19: 129-135.
    Direct Link  |  

  14. Kiranyaz, S., T. Ince, A. Yildirim and M. Gabbouj, 2009. Evolutionary artificial neural networks by multi-dimensional particle swarm optimization. Neural Networks, 22: 1448-1462.
    CrossRef  |  Direct Link  |  

  15. Ince, T., S. Kiranyaz and M. Gabbouj, 2009. A generic and robust system for automated patient-specific classification of electrocardiogram signals. IEEE Trans. Biomed. Eng., 56: 1415-1426.
    PubMed  |  

  16. Ince, T., 2009. On Performance of S-Band fmcw Radar for Atmospheric Measurements. In: Advances in Geoscience and Remote Sensing, Jedlovec, G. (Ed.). InTech, Croatia, pp: 645-658.

  17. Sun, J., D.H. Lenschow, S.P. Burns, R.M. Banta and R.K. Newsom et al., 2004. Atmospheric disturbances that generate intermittent turbulence in nocturnal boundary layers. Boundary-Layer Meteorol., 110: 255-279.
    CrossRef  |  Direct Link  |  

  18. Ince, T., S.J. Frasier, A. Muschinski and A.L. Pazmany, 2003. An S‐band frequency‐modulated continuous‐wave boundary layer profiler: Description and initial results. Radio Sci., 38: 1072-1081.

  19. Sun, J., S.P. Burns, D.H. Lenschow, R. Banta and R. Newsom et al., 2002. Intermittent turbulence associated with a density current passage in the stable boundary layer. Boundary-Layer Meteorol., 105: 199-219.
    CrossRef  |  Direct Link  |  

  20. Turhan‐Sayan, G., K. Leblebicioglu and T. Ince, 1999. Electromagnetic target classification using time-frequency analysis and neural networks. Microwave Optical Technol. Lett., 21: 63-69.
    CrossRef  |  Direct Link  |  
Member since March, 2016