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.
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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.
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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.
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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.
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6. Ince, T., S. Kiranyaz and M. Gabbouj, 2012. Evolutionary RBF classifier for polarimetric SAR images. Expert Syst. Applic., 39: 4710-4717.
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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.
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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.
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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.
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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.
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12. Ince, T., 2010. Unsupervised classification of polarimetric SAR image with dynamic clustering: An image processing approach. Adv. Eng. Software, 41: 636-646.
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13. Ince, T., 2010. FMCW radar performance for atmospheric measurements. Radioengineering, 19: 129-135.
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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.
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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.
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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.
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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.
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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.
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