* Associate Editor of Expert Systems (since January 2007)
* Editorial Board Member of Expert Systems (SCI Indexed Journal; since 25 September 2006)
* Associate Editor of International Journal of Biomedical Signal Processing (since May 2008)
* Guest Editor of Expert Systems with Dr. Michal Wozniak (Special Issue on Computer Recognition Systems; 2009)
* Memberships of Editorial Board: Journal of Engineering and Applied Sciences; International Journal of Soft Computing; Research Journal of Applied Sciences; Research Journal of Medical Sciences; Scientific Journals International/Electrical, Mechanical, Manufacturing, and Aerospace Engineering; The Open Medical Informatics Journal; Bulletin of the International Scientific Surgical Association, International Journal of Real-Time Systems, Journal of Biomedical Science and Engineering; International Journal of Engineering & Applied Sciences
SCI and SCI-E Indexed Journal Papers
1. Übeyli, E.D., Cvetkovic, D., Cosic, I., Analysis of human PPG, ECG and EEG signals by eigenvector methods, Digital Signal Processing, 2009.
2. Şahin, D., Übeyli, E.D., İlbay, G., Şahin, M., Yaşar, A.B., Diagnosis of airway obstruction or restrictive spirometric patterns by multiclass support vector machines, Journal of Medical Systems, 2009.
3. Übeyli, E.D., Noise cancellation in Doppler ultrasound signals with adaptive neuro-fuzzy inference system, Digital Signal Processing, 2009.
4. Übeyli, E.D., Automatic diagnosis of diabetes using adaptive neuro-fuzzy inference systems, Expert Systems , 2009.
5. İlbay, K., Übeyli, E.D., İlbay, G., Budak, F., R ecurrent neural networks for diagnosis of carpal tunnel syndrome using electrophysiologic findings, Journal of Medical Systems, 2009.
6. Übeyli, E.D., Automatic detection of electroencephalographic changes using adaptive neuro-fuzzy inference system employing Lyapunov exponents, Expert Systems with Applications, 2009.
7. Übeyli, E.D., İlbay, G., Şahin, D., Ateş, N., Analysis of spike-wave discharges in rats using discrete wavelet transform, Computers in Biology and Medicine, 2009.
8. Cvetkovic, D., Übeyli, E.D., Holland, G., Cosic, I., Alterations in sleep EEG activity during the hypopnoea episodes, Journal of Medical Systems, 2009.
9. Übeyli, E.D., Adaptive neuro-fuzzy inference system for classification of ECG signals using Lyapunov exponents, Computer Methods and Programs in Biomedicine, 2009.
10. Übeyli, E.D., Detecting variabilities of ECG signals by Lyapunov exponents, Neural Computing & Applications, 2009.
11. Übeyli, E.D., İlbay, K., İlbay, G., Sahin, D., Akansel, G., Differentiation of two subtypes of adult hydrocephalus by mixture of experts, Journal of Medical Systems , 2009.
12. Übeyli, E.D., Statistics over features of ECG signals, Expert Systems with Applications, 2009.
13. Übeyli, E.D., Doğdu, E., Automatic detection of erythemato-squamous diseases using k-means clustering, Journal of Medical Systems, 2009.
14. Übeyli, E.D., Implementation of automated diagnostic systems: ophthalmic arterial disorders detection case, International Journal of Systems Science, 2009.
15. Übeyli, E.D., Adaptive neuro-fuzzy inference systems for automatic detection of breast cancer, Journal of Medical Systems, 2009.
16. Übeyli, E.D., Modified mixture of experts for diabetes diagnosis, Journal of Medical Systems, 2009.
17. Übeyli, E.D., Modified mixture of experts employing eigenvector methods and Lyapunov exponents for analysis of EEG signals, Expert Systems, 2009.
18. Übeyli, E.D., Medical informatics: a model developed for diabetes education via telemedicine, Journal of Medical Systems, 2009.
19. Übeyli, E.D., Analysis of electrocardiographic changes in partial epileptic patients by combining eigenvector methods and support vector machines, Expert Systems , 2009.
20. Übeyli, E.D., Eigenvector methods for automated detection of electrocardiographic changes in partial epileptic patients, IEEE Transactions on Information Technology in Biomedicine, 2009.
21. Übeyli, E.D., Probabilistic neural networks combined with wavelet coefficients for analysis of EEG signals, Expert Systems, 2009.
22. Übeyli, E.D., Advances in medical decision support systems, Expert Systems, 26(1), 3-7, 2009.
23. Übeyli, E.D., Combining recurrent neural networks with eigenvector methods for classification of ECG beats, Digital Signal Processing, 19(2), 320-329, 2009.
24. Übeyli, E.D., Combined neural network model employing wavelet coefficients for EEG signals classification, Digital Signal Processing , 19(2), 297-308, 2009.
25. Übeyli, E.D., Features for analysis of electrocardiographic changes in partial epileptic patients, Expert Systems with Applications, 36(3), 6780-6789, 2009.
26. Übeyli, E.D., Übeyli, M., Estimation of radiation damage at the structural materials of a hybrid reactor by probabilistic neural networks, Expert Systems with Applications, 36(3), 5184-5189, 2009.
27. Übeyli, E.D., Combined neural networks for diagnosis of erythemato-squamous diseases, Expert Systems with Applications, 36(3), 5107-5112, 2009.
28. Übeyli, E.D., Decision support systems for time-varying biomedical signals: EEG signals classification, Expert Systems with Applications, 36(2), 2275-2284, 2009.
29. Übeyli, E.D., Measuring saliency of features representing EEG signals using signal-to-noise ratios, Expert Systems with Applications, 36(1), 501-509, 2009.
30. Übeyli, E.D., Analysis of EEG signals by implementing eigenvector methods/recurrent neural networks, Digital Signal Processing, 19(1), 134-143, 2009.
31. Übeyli, E.D., Use of the Internet in medical decision making: a model developed for diabetes prediction, Neural Network World, 18(6), 427-436, 2008.
32. Übeyli, E.D., Signal-to-noise ratios for measuring saliency of features extracted by eigenvector methods from ECG signals, Neural Network World, 18(5), 381-400, 2008.
33. Übeyli, E.D., Signal-to-noise ratios for measuring saliency of features extracted by eigenvector methods from ophthalmic arterial Doppler signals, Expert Systems, 25(5), 431-443, 2008.
34. Übeyli, E.D., Implementing eigenvector methods/probabilistic neural networks for analysis of EEG signals, Neural Networks, 21(9), 1410-1417, 2008.
35. Übeyli, E.D., Measuring saliency of features using signal-to-noise ratios for detection of electrocardiographic changes in partial epileptic patients, Journal of Medical Systems, 32(6), 463-470, 2008.
36. Übeyli, E.D., Support vector machines for detection of electrocardiographic changes in partial epileptic patients, Engineering Applications of Artificial Intelligence, 21(8), 1196-1203, 2008.
37. Übeyli, M., Übeyli, E.D., Estimation of neutronic performance of a high power density hybrid reactor by multilayer perceptron neural networks, Journal of Fusion Energy, 27(4), 278-284, 2008.
38. Übeyli, E.D., Teaching application of MATLAB fuzzy logic toolbox to modeling coplanar waveguides, Computer Applications in Engineering Education, 16(3), 223-232, 2008.
39. Übeyli, E.D., Feature extraction by autoregressive spectral analysis using maximum likelihood estimation: internal carotid arterial Doppler signals, Expert Systems, 25(4), 367-379, 2008.
40. Übeyli, E.D., Multiclass support vector machines for diagnosis of erythemato-squamous diseases, Expert Systems with Applications, 35(4), 1733-1740, 2008.
41. Cvetkovic, D.,Übeyli, E.D., Cosic, I., Wavelet transform feature extraction from human PPG, ECG and EEG signal responses to ELF PEMF exposures: A pilot study, Digital Signal Processing, 18(5), 861-874, 2008.
42. Übeyli, E.D., Time-varying biomedical signals analysis with multiclass support vector machines employing Lyapunov exponents, Digital Signal Processing, 18(4), 646-656, 2008.
43. Übeyli, E.D., Usage of eigenvector methods to improve reliable classifier for Doppler ultrasound signals, Computers in Biology and Medicine, 38(5), 563-573, 2008.
44. Übeyli, E.D., Diverse and composite features for ECG signals processing, Bio-Medical Materials and Engineering,18(2), 61-72, 2008.
45. Übeyli, E.D., Cvetkovic, D., Cosic, I., AR spectral analysis technique for human PPG, ECG and EEG signals, Journal of Medical Systems, 32(3), 201-206, 2008.
46. Übeyli, E.D., Implementing wavelet transform/mixture of experts network for analysis of electrocardiogram beats, Expert Systems, 25(2), 150-162, 2008.
47. Übeyli, E.D., Recurrent neural networks with composite features for detection of electrocardiographic changes in partial epileptic patients, Computers in Biology and Medicine, 38(3), 401-410, 2008.
48. Übeyli, E.D., Statistics over features for internal carotid arterial disorders detection, Computers in Biology and Medicine, 38(3), 361-371, 2008.
49. Übeyli, E.D., Recurrent neural networks employing Lyapunov exponents for analysis of Doppler ultrasound signals, Expert Systems with Applications, 34(4), 2538-2544, 2008.
50. Übeyli, E.D., Adaptive neuro-fuzzy inference system employing wavelet coefficients for detection of ophthalmic arterial disorders, Expert Systems with Applications, 34(3), 2201-2209, 2008.
51. Übeyli, E.D., Wavelet/mixture of experts network structure for EEG signals classification, Expert Systems with Applications, 34(3), 1954-1962, 2008.
52. Übeyli, E.D., Probabilistic neural networks employing Lyapunov exponents for analysis of Doppler ultrasound signals, Computers in Biology and Medicine, 38(1), 82-89, 2008.
53. Übeyli, E.D., Analysis of EEG signals by combining eigenvector methods and multiclass support vector machines, Computers in Biology and Medicine, 38(1), 14-22, 2008 .
54. Übeyli, E.D., Usage of eigenvector methods in implementation of automated diagnostic systems for ECG beats, Digital Signal Processing, 18(1), 33-48, 2008.
55. Übeyli, E.D., Measuring saliency of features extracted by model-based methods from internal carotid arterial Doppler signals using signal-to-noise ratios, Digital Signal Processing, 18(1), 2-14, 2008.
56. Übeyli, E.D., MATLAB for teaching Doppler ultrasound blood flow signal analysis to biomedical engineering students, International Journal of Engineering Education, 23(6), 1232-1244, 2007.
57. Übeyli, E.D., Übeyli, M., Investigating neutronic parameters of a Thorium fusion breeder with recurrent neural networks, Journal of Fusion Energy, 26(4), 323-330, 2007.
58. Übeyli, E.D., Wavelet/probabilistic neural networks for ECG beats classification, Neural Network World, 17(3), 255-267, 2007.
59. Übeyli, E.D., Detection of arterial disorders by spectral analysis techniques, Bio-Medical Materials and Engineering, 17(3), 183-189, 2007.
60. Übeyli, E.D., Combining eigenvector methods and support vector machines for detecting variability of Doppler ultrasound signals, Computer Methods and Programs in Biomedicine, 86(2), 181-190, 2007.
61. Übeyli, E.D., ECG beats classification using multiclass support vector machines with error correcting output codes, Digital Signal Processing, 17(3), 675-684, 2007.
62. Übeyli, E.D., Detection of electrocardiogram beats using a fuzzy similarity index, Expert Systems, 24(2), 87-96 2007.
63. Übeyli, E.D., Implementing automated diagnostic systems for breast cancer detection, Expert Systems with Applications, 33(4), 1054-1062, 2007.
64. Übeyli, E.D., Doppler ultrasound signals analysis using multiclass support vector machines with error correcting output codes, Expert Systems with Applications, 33(3), 725-733, 2007.
65. Übeyli, E.D., Comparison of different classification algorithms in clinical decision-making, Expert Systems, 24(1), 17-31, 2007.
66. Übeyli, E.D., Analysis of EEG signals using Lyapunov exponents, Neural Network World, 16(3), 257-273, 2006.
67. Übeyli, E.D., Fuzzy similarity index employing Lyapunov exponents for discrimination of EEG signals, Neural Network World, 16(5), 421-431, 2006.
68. Übeyli, E.D., Güler, İ., Detecting variabilities of Doppler ultrasound signals by a modified mixture of experts with diverse features, Digital Signal Processing, 18(2), 267-279, 2008.
69. Übeyli, E.D., Güler, İ., Features extracted by eigenvector methods for detecting variability of EEG signals, Pattern Recognition Letters, 28(5), 592-603, 2007.
70. Güler, İ., Übeyli, E.D., Multiclass support vector machines for EEG signals classification, IEEE Transactions on Information Technology in Biomedicine, 11(2), 117-126, 2007.
71. Übeyli, E.D., Güler, İ., Performance analysis of classical, model-based and eigenvector methods: Ophthalmic arterial disorders detection case, Computers and Electrical Engineering, 33(1), 30-47, 2007.
72. Güler, İ., Übeyli, E.D., Implementing wavelet/probabilistic neural networks for Doppler ultrasound blood flow signals, Expert Systems with Applications, 33(1), 162-170, 2007.
73. Güler, İ., Übeyli, E.D., Expert systems for time-varying biomedical signals using eigenvector methods, Expert Systems with Applications, 32(4), 1045-1058, 2007.
74. Übeyli, E.D., Güler, İ., MATLAB Toolboxes: Teaching feature extraction from time-varying biomedical signals, Computer Applications in Engineering Education, 14(4), 321-332, 2006.
75. Übeyli, E.D., Güler, İ., Adaptive neuro-fuzzy inference system to compute quasi-TEM characteristic parameters of microshield lines with practical cavity sidewall profiles, Neurocomputing, 70(1-3), 296-304, 2006.
76. Güler, İ, Übeyli, E.D., Automated diagnostic systems with diverse and composite features for Doppler ultrasound signals, IEEE Transactions on Biomedical Engineering, 53(10), 1934-1942, 2006.
77. Güler, İ, Übeyli, E.D., A recurrent neural network classifier for Doppler ultrasound blood flow signals, Pattern Recognition Letters, 27(13), 1560-1571, 2006.
78. Güler, İ, Übeyli, E.D., Combined neural network model to compute wavelet coefficients, Expert Systems, 23(3), 159-173, 2006.
79. Güler, İ, Übeyli, E.D., Analysis of Doppler ultrasound signals based on fuzzy similarity index, Expert Systems with Applications, 31(1), 130-136, 2006.
80. Güler, İ, Übeyli, E.D., Feature saliency using signal-to-noise ratios in automated diagnostic systems developed for Doppler ultrasound signals, Engineering Applications of Artificial Intelligence, 19(1), 53-63, 2006.
81. Güler, İ, Übeyli, E.D., Neural network analysis of ophthalmic arterial Doppler signals with uveitis disease, Neural Computing & Applications, 14(4), 353-360, 2005.
82. Übeyli, E.D., Güler, İ., Feature extraction from Doppler ultrasound signals for automated diagnostic systems, Computers in Biology and Medicine, 35(9), 735-764, 2005.
83. Güler, İ, Übeyli, E.D., Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients, Journal of Neuroscience Methods, 148(2), 113-121, 2005.
84. Übeyli, E.D., Güler, İ., Teaching automated diagnostic systems for Doppler ultrasound blood flow signals to biomedical engineering students using MATLAB, International Journal of Engineering Education, 21(4), 649-667, 2005.
85. Güler, İ, Übeyli, E.D., A modified mixture of experts network structure for ECG beats classification with diverse features, Engineering Applications of Artificial Intelligence, 18(7), 845-856, 2005.
86. Übeyli, E.D., Güler, İ., Adaptive neuro-fuzzy inference systems for analysis of internal carotid arterial Doppler signals, Computers in Biology and Medicine, 35(8), 687-702, 2005.
87. Güler, N.F., Übeyli, E.D., Güler, İ., Recurrent neural networks employing Lyapunov exponents for EEG signals classification, Expert Systems with Applications, 29(3), 506-514, 2005.
88. Güler, İ, Übeyli, E.D., Adaptive neuro-fuzzy inference system for gap discontinuities in coplanar waveguides, International Journal of Electronics, 92(3), 173-188, 2005.
89. Güler, İ, Übeyli, E.D., Automatic detection of ophthalmic artery stenosis using adaptive neuro-fuzzy inference system, Engineering Applications of Artificial Intelligence, 18(4), 413-422, 2005.
90. Güler, İ, Übeyli, E.D., A mixture of experts network structure for modelling Doppler ultrasound blood flow signals, Computers in Biology and Medicine, 35(7), 565-582, 2005.
91. Güler, İ, Übeyli, E.D., An expert system for detection of electrocardiographic changes in patients with partial epilepsy using wavelet-based neural networks, Expert Systems, 22(2), 62-71, 2005.
92. Übeyli, E.D., Güler, İ., Improving medical diagnostic accuracy of ultrasound Doppler signals by combining neural network models, Computers in Biology and Medicine, 35(6), 533-554, 2005.
93. Übeyli, E.D., Güler, İ., Automatic detection of erythemato-squamous diseases using adaptive neuro-fuzzy inference systems, Computers in Biology and Medicine, 35(5), 421-433, 2005.
94. Übeyli, E.D., Güler, İ., Determining variability of ophthalmic arterial Doppler signals using Lyapunov exponents, Computers in Biology and Medicine, 35(5), 405-420, 2005.
95. Güler, İ, Übeyli, E.D., Feature saliency using signal-to-noise ratios in automated diagnostic systems developed for ECG beats, Expert Systems with Applications, 28(2), 295-304, 2005.
96. Güler, İ, Übeyli, E.D., Detection of ophthalmic arterial Doppler signals with Behcet disease using multilayer perceptron neural network, Computers in Biology and Medicine, 35(2), 121-132, 2005.
97. Güler, İ, Übeyli, E.D., ECG beat classifier designed by combined neural network model, Pattern Recognition, 38(2), 199-208, 2005.
98. Übeyli, E.D., Güler, İ., Selection of optimal AR spectral estimation method for internal carotid arterial Doppler signals using Cramer-Rao bound, Computers & Electrical Engineering, 30(7), 491-508, 2004.
99. Güler, İ, Übeyli, E.D., Detecting variability of internal carotid arterial Doppler signals by Lyapunov exponents, Medical Engineering & Physics, 26(9), 763-771, 2004.
100. Übeyli, E.D., Güler, İ., Multilayer perceptron neural networks to compute quasistatic parameters of asymmetric coplanar waveguides, Neurocomputing, 62, 349-365, 2004.
101. Übeyli, E.D., Güler, İ., Detection of electrocardiographic changes in partial epileptic patients using Lyapunov exponents with multilayer perceptron neural networks, Engineering Applications of Artificial Intelligence, 17(6), 567-576, 2004.
102. Güler, İ, Übeyli, E.D., Application of adaptive neuro-fuzzy inference system for detection of electrocardiographic changes in patients with partial epilepsy using feature extraction, Expert Systems with Applications, 27(3), 323-330, 2004.
103. Güler, N.F., Übeyli, E.D., Wavelet-based neural network analysis of ophthalmic artery Doppler signals, Computers in Biology and Medicine, 34(7), 601-613, 2004.
104. Übeyli, E.D., Güler, İ., Spectral broadening of ophthalmic arterial Doppler signals using STFT and wavelet transform, Computers in Biology and Medicine, 34(4), 345-354, 2004.
105. Übeyli, E.D., Güler, İ., Spectral analysis of internal carotid arterial Doppler signals using FFT, AR, MA, and ARMA methods, Computers in Biology and Medicine, 34(4), 293-306, 2004.
106. Übeyli, E.D., Güler, İ., Comparison of eigenvector methods with classical and model-based methods in analysis of internal carotid arterial Doppler signals, Computers in Biology and Medicine, 33(6), 473-493, 2003.
107. Güler, İ., Übeyli, E.D., Application of classical and model-based spectral methods to ophthalmic arterial Doppler signals with uveitis disease, Computers in Biology and Medicine, 33(6), 455-471, 2003.
108. Übeyli, E.D., Güler, İ., Neural network analysis of internal carotid arterial Doppler signals: predictions of stenosis and occlusion, Expert Systems with Applications, 25(1), 1-13, 2003.
109. Güler, İ., Übeyli, E.D., Detection of ophthalmic artery stenosis by least-mean squares backpropagation neural network, Computers in Biology and Medicine, 33(4), 333-343, 2003.
110. Güler, İ., Hardalaç, F., Übeyli, E.D., Determination of Behcet disease with the application of FFT and AR methods, Computers in Biology and Medicine, 32(6), 419-434, 2002.
Book Chapters
1. Übeyli, E.D., Ilbay, G., Sahin, D., Spectral Analysis Methods for Spike-Wave Discharges in Rats with Genetic Absence Epilepsy,Recent Advances in Biomedical Engineering, Published by In-Tech, Editor: Ganesh R. Naik, ISBN 978-953-307-004-9, Chapter 30, pp. 595-620, October 2009. (invited)
2. Cvetkovic, D., Abdullah, H., Übeyli, E.D., Holland, G., Cosic, I., Alterations in Sleep Electroencephalography and Heart Rate Variability During the Obstructive Sleep Apnoea and Hypopnoea, Recent Advances in Biomedical Engineering, Published by In-Tech, Editor: Ganesh R. Naik, ISBN 978-953-307-004-9, Chapter 8, pp. 149-164, October 2009. (invited)
3. Übeyli, E.D., Übeyli, M., Case Studies for Applications of Elman Recurrent Neural Networks, Recurrent Neural Networks, I-Tech Education and Publishing, Editors: Xiaolin Hu, P. Balasubramaniam, ISBN 978-953-7619-08-4, Chapter 17, pp.357-376, 2008. (invited)
4. Übeyli, E.D., Güler, İ., Spectral Analysis Techniques in the Detection of Coronary Artery Stenosis, Biomechanical Systems Technology, World Scientific Publishing Company, Editor: Cornelius T. Leondes, ISBN-13: 978-981-270-984-4, Chapter 7, Vol. 4, pp.217-271, 2007. (invited)
EI and IM Indexed Journal Papers
1. Übeyli, E.D., Analysis of ECG signals by diverse and composite features, Istanbul University - Journal of Electrical and Electronics Engineering, 7(2), 393-402, 2007.
2. Übeyli, E.D., Biyomedikal işaretlerin sınıflandırılmasında otomatik teşhis sistemlerinin başarımı,Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 22(3), 461-469, 2007.
3. Übeyli, E.D., Combining neural network models for automated diagnostic systems, Journal of Medical Systems, 30(6), 483-488, 2006.
4. Übeyli, E.D., A mixture of experts network structure for breast cancer diagnosis, Journal of Medical Systems, 29(5), 569-579, 2005.
5. Übeyli, E.D., Güler, İ., Wavelet-based neural network analysis of internal carotid arterial Doppler signals, Journal of Medical Systems, 30(3), 221-229, 2006.
6. Güler, İ, Übeyli, E.D., Çok katmanlı perseptron sinir ağları ile diyabet hastalığının teşhisi, Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 21(2), 319-326, 2006.
7. Übeyli, E.D., Güler, İ., AR ve ARMA metotlarının kullanımı ile teşhis sistemleri için öznitelik çıkarma: Oftalmik atardamar Doppler işaretlerinin durum analizi, Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 19(4), 405-413, 2004.
8. Übeyli, E.D., Işık, H., Güler, İ., Application of FFT and ARMA spectral analysis to arterial Doppler signals, Mathematical & Computational Applications, 8(3), 311-318, 2003.
9. Übeyli, E.D., Güler, İ., Determination of stenosis and occlusion in arteries with the application of FFT, AR and ARMA methods, Journal of Medical Systems, 27(2), 105-120, 2003.
10. Güler,N.F., Übeyli, E.D., Theory and applications of telemedicine, Journal of Medical Systems, 26(3), 199-220, 2002.
11. Güler,N.F., Übeyli, E.D., Theory and applications of biotelemetry, Journal of Medical Systems, 26(2), 159-178, 2002.
National Journal Papers
1. Übeyli, E.D., Asimetrik koplanar dalga kılavuzunda aralık analizi, Politeknik Dergisi, 4(3), 39-46, 2001.
2. Übeyli, E.D., Güler, İ., Atardamarlardaki daralma ve tıkanıklığın maksimum olabilirlik kestiriminin kullanıldığı AR metodu ile incelenmesi, Gazi Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 16(2), 375-385, 2003.
3. Übeyli, E.D., Güler, N.F., Parametrik olmayan metodların performans analizi, Politeknik Dergisi, 5(1), 35-49, 2002.
4. Übeyli, E.D., Güler, İ., Cramer-Rao alt sınırı ile AR metodunda parametre kestirim performansının analizi, Politeknik Dergisi, 5(1), 1-11, 2002.
Conference Papers
1. Übeyli, E.D., Analysis of Doppler ultrasound signals: Ophthalmic arterial disorders detection case, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC09, 43-46, Minneapolis, USA, September 2009 (invited paper).
2. Übeyli, E.D., Advances in automated diagnostic systems, The 10th WSEAS International Conference on Neural Networks NN'09, 69-74, Prague, Czech Republic, March 2009. (Plenary Lecture).
3. Übeyli, E.D., Automated diagnostic systems: Arterial disorders detection, The 8th WSEAS International Conference on Applied Computer Science ACS'08, 105-110, Venice, Italy, November 2008.
4. Übeyli, E.D., Adaptive neuro-fuzzy inference system employing Lyapunov exponents for electroencephalographic changes, The 6th International Symposium on Intelligent & Manufacturing Systems IMS'2008, 71-81, Sakarya, Turkey, October 2008.
5.Übeyli, E.D., Feature extraction for analysis of ECG signals, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC08, 1080-1083, Vancouver, Canada, August 2008.
6. Übeyli, E.D., İlbay, G., Şahin, D., Ateş, N., Discrete wavelet transform for analysis of spike-wave discharges in rats, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC08, 4680-4683, Vancouver, Canada, August 2008.
7. Cvetkovic, D., Übeyli, E.D., Holland, G., Cosic, I., Alterations in sleep EEG activity during the hypopnoea episodes, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC08, 3496-3499, Vancouver, Canada, August 2008.
8. Übeyli, E.D., İlbay, G., Şahin, D., Ateş, N., Sıçan modellerinde diken-dalga komplekslerinin dalgacık katsayıları ile analizi, Biyomed. Müh. Ulusal Toplantısı BİYOMUT 2008, (in CD), May 2008, Ankara, Turkey.
9. Übeyli, E.D., Doppler ultrasound techniques in medicine, Fifth International Scientific Teleconference “New Technology in Medicine”, 3(1), 100-103, Saint-Petersburg, Russia, March 2008.
10. Übeyli, E.D., EKG işaretlerinin sınıflandırılmasında otomatik teşhis sistemlerinin başarımı, 12. Elektrik Elektronik Bilgisayar Biyomedikal Mühendisliği Ulusal Kongresi, 183-188, November 2007, Eskişehir, Turkey.
11. Übeyli, E.D., Sağlık bilgi ağları ve teletıp uygulamaları, 2. E-Sağlık Kongresi, (in CD), October 2007, Belek, Antalya, Turkey.
12. Übeyli, E.D., Modified mixture of experts for analysis of EEG signals, 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC07, 1546-1549, Lyon, France, August 2007.
13. Übeyli, E.D., Cvetkovic, D., Cosic, I., Eigenvector methods for analysis of human PPG, ECG and EEG signals, 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC07, 3304-3307, Lyon, France, August 2007.
14.Übeyli, E.D., Modified mixture of experts with diverse features for analysis of Doppler ultrasound signals, International Symposium on Health Informatics and Bioinformatics HIBIT07, (in CD), April 2007, Belek, Antalya, Turkey.
15. Übeyli, E.D., Implementation of automated diagnostic systems for biomedical signals, TASSA Annual Conference, New Haven, U.S.A., March 2007.
16. Übeyli, E.D., Medical decision support systems, Fourth International Scientific Teleconference “New Technology in Medicine”, 2(1), 110-114, Saint-Petersburg, Russia, March 2007.
17.Übeyli, E.D., Time-varying biomedical signals analysis with multiclass support vector machines, The Fifth IASTED International Conference on Biomedical Engineering, IASTED 2007, 385-390, Innsbruck, Austria, February 2007.
18. Übeyli, E.D., Biyomedikal eğitiminde bilişim teknolojilerinin kullanımı, XI. Türkiye'de Internet Konferansı, December 2006, Ankara, Turkey.
19. Übeyli, E.D., EKG işaretlerinin farklı ve birleşik öznitelikler ile analizi, Elektrik-Elektronik-Bilgisayar Mühendisliği Sempozyumu ELECO-2006, 270-274, December 2006, Bursa, Turkey.
20. Übeyli, E.D., Zamanla değişen biyomedikal işaretlerin dalgacık dönüşümü ile analizi, Otomatik Kontrol Ulusal Toplantısı TOK'06, 273-277, Ankara, Turkey, November 2006.
21. Übeyli, E.D., Adaptive neuro-fuzzy inference system for analysis of Doppler signals, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC06, 2167-2170, New York, U.S.A., September 2006.
22. Übeyli, E.D., Fuzzy similarity index for discrimination of EEG signals, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC06, 5346-5349, New York, U.S.A., September 2006.
23. Übeyli, E.D., Uzman sistemler ile EEG işaretlerinin analizi, Biyomed. Müh. Ulusal Toplantısı BİYOMUT 2006, May 2006, İstanbul, Turkey.
24. Übeyli, E.D., Güler, İ., Security issues and network architecture in aviation systems, Kayseri VI. Havacılık Sempozyumu - HaSeM06, 122-126, May 2006, Nevşehir, Turkey.
25. Güler, İ., Übeyli, E.D., Implementing combined neural network model for breast cancer diagnosis, Third International Scientific Teleconference “New Technology in Medicine”, 1(2), 26-28, Saint-Petersburg, Russia, March 2006.
26. Güler, İ., Übeyli, E.D., Eigenvector methods for automated detection of time-varying biomedical signals, Computational Intelligence Methods and Applications CIMA 2005, (Paper # 1-4244-0020-1/05/20.00a2005), December 2005, İstanbul, Turkey.
27. Güler, İ., Übeyli, E.D., Combined neural network model for detection of electrocardiographic changes in partial epileptic patients, 4th International Conference on Electrical and Electronics Engineering ELECO 2005, 131-134, December 2005, Bursa, Turkey.
28. Übeyli, E.D., Güler, N.F., Güler, İ., Usage of information technologies in medicine: A model developed for diabetes education via telemedicine, 4th International Advanced Technologies Symposium, 345-350, September 2005, Konya, Turkey.
29. Güler, N.F., Übeyli, E.D., Güler, İ., Combined neural network model employing Lyapunov exponents: Internal carotid arterial disorders detection case, 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC05, 4564-4567, Shanghai, China, September 2005.
30. Güler, İ., Übeyli, E.D., Güler, N.F., A mixture of experts network structure for EEG signals classification, 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC05, 2707-2710, Shanghai, China, September 2005.
31. Übeyli, E.D., Güler, İ., Combined neural network model for EEG signals classification, International Symposium on Innovations in Intelligent Systems and Applications INISTA 2005, 342-345, June 2005, İstanbul, Turkey.
32. Übeyli, E.D., Güler, İ., Farklı ve birleşik öznitelikler ile ultrasonik Doppler işaretlerinin analizi, Biyomed. Müh. Ulusal Toplantısı BİYOMUT 2005, 131-137, May 2005, İstanbul, Turkey.
33. Güler, İ, Übeyli, E.D., Automated diagnostic system developed for EEG signals using Lyapunov exponents, Second International Scientific Teleconference “New Technology in Medicine”, 97-99, Saint-Petersburg, Russia, March 2005.
34. Übeyli, E.D., Güler, İ., Statistics over Lyapunov Exponents for Feature Extraction: Electroencephalographic Changes Detection Case, International Conference on Signal Processing ICSP 2004, 169-172, December 2004, İstanbul, Turkey.
35. Übeyli, E.D., Güler, İ., Dalgacık dönüşümü ile EEG işaretlerinden çıkarılan öznitelik vektörleri üzerinde istatistiksel işlemlerin gerçekleştirilmesi, Elektrik-Elektronik-Bilgisayar Mühendisliği Sempozyumu ELECO-2004, 230-234, December 2004, Bursa, Turkey.
36. Güler, İ, Übeyli, E.D., Dalgacık dönüşümünün kullanımı ile teşhis sistemleri için öznitelik çıkarma: İç karotid atardamar Doppler işaretlerinin durum analizi, Akıllı Sistemlerde Yenilikler ve Uygulamaları Sempozyumu ASYU-INISTA 2004, 23-26, June 2004, İstanbul, Turkey.
37. Übeyli, E.D., Güler, İ., Multilayer perceptron neural networks to compute wavelet coefficients, The 13th Turkish Symposium on Artificial Intelligence and Neural Networks TAINN 2004, 341-349, June 2004, İzmir, Turkey.
38. Übeyli, E.D., Güler, İ., İşaret-gürültü oranlarının kullanımı ile teşhis sistemleri için çıkarılan özniteliklerin etkisinin belirlenmesi: İç karotid atardamar Doppler işaretlerinin durum analizi, Biyomed. Müh. Ulusal Toplantısı BİYOMUT 2004, 219-226, May 2004, İstanbul, Turkey.
39. Übeyli, E.D., Güler, İ., Application of adaptive neuro-fuzzy inference system for analysis of ophthalmic arterial Doppler signals using feature extraction, First International Scientific Teleconference “New Technology in Medicine”, 126-128, Saint-Petersburg, Russia, March 2004.
40. Übeyli, E.D., Güler, İ., Application of STFT and wavelet transform to ophthalmic arterial Doppler signals, International Conference on Signal Processing ICSP 2003, vol. 1, 26-29, September 2003, Çanakkale, Turkey.
41. Übeyli, E.D., Güler, İ., Dalgacık dönüşüm tabanlı sinir ağları ile oftalmik atardamar Doppler işaretlerinin sınıflandırılması, Elektrik-Elektronik-Bilgisayar Mühendisliği 10. Ulusal Kongresi, vol. 2, 442-445, September 2003, İstanbul, Turkey.
42. Übeyli, E.D., Güler, İ., Koruyucu hekimlikte bilgisayar uygulamaları, 3rd International Advanced Technologies Symposium, vol. 1, 239-249, August 2003, Ankara, Turkey.
43. Güler, İ, Übeyli, E.D., Classification of internal carotid arterial Doppler signals using wavelet-based neural networks, International Twelfth Turkish Symposium on Artificial Intelligence and Neural Networks TAINN 2003, vol. 1, 8-12, July 2003, Çanakkale, Turkey.
44. Übeyli, E.D., Güler, İ., Tıbbi karar destek sisteminde bilişim teknolojilerinin kullanımı: Diabet hastalığının teşhisi için geliştirilen model, Biyomed. Müh. Ulusal Toplantısı BİYOMUT 2003, 100-105, May 2003, İstanbul, Turkey.
45. Übeyli, E.D., Hardalaç, F., Güler, İ., Maksimum olabilirlik kestiriminin kullanılması ile Oftalmik arterden alınan Doppler işaretlerinin AR spektral analizi, Biyomed. Müh. Ulusal Toplantısı BİYOMUT 2002, 28-33, May 2002, İstanbul, Turkey.
46. Übeyli, E.D., Güler, İ., Refraktometreler ve kalibrasyon metodları, IV. Ulusal Ölçümbilim Kongresi, 89-94, October 2001, Eskişehir, Turkey.