Prof. Dr. Önsen Toygar

Publications

List of Books/Book Chapters

Book Chapters:

  1. İmren Yeşilyurt, Mehtap Köse Ulukök and Önsen Toygar, "Print Attack Detection for Ear Biometrics with Fusion of Texture-based and CNN-based Approaches", Innovations and Technologies in Engineering, edited by S.Tasdemir and I. A. Ozkan, E-ISBN: 978-625-6382-83-1,  pp.70-83, Eğitim Yayınevi, Chapter 6, December 2022.
  2. Önsen Toygar, Esraa Alqaralleh and Ayman Afaneh, “Person Identification Using Multimodal Biometrics Under Different Challenges”, Human-Robot Interaction – Theory and Application, edited by G. Anbarjafari and S. Escalera, ISBN 978-953-51-5611-6, http://dx.doi.org/10.5772/intechopen.71667, InTech, Chapter 5, pp.81-100, July 2018.

List of Journal Publications

SCI and SCI Expanded Articles:

 

1. Duygu Çelik Ertuğrul, Önsen Toygar, Hasan Karataş, Brain Tumor Detection on X-Ray and MRI Images Using Fusion of Hybrid Learning Methods, Acta Scientiarum Technology, Vol. , Issue: , 2024. (Accepted)
2. Samaneh Sarfarazi, Hossein Ghaderi Zefrehi, Önsen Toygar, Potato leaf disease classification using fusion of multiple color spaces with weighted majority voting on deep learning architectures. Multimedia Tools and Applications (published online - September 2024). https://doi.org/10.1007/s11042-024-20173-3
3. Yasemin Keskin, Önsen Toygar, Enhancement of underwater images through a dehazing approach with color balancing and multiscale image fusion, Signal, Image and Video Processing, 18, pp. 5301–5309, August 2024, DOI:  https://doi.org/10.1007/s11760-024-03233-x.
4. Fuat Uyguroğlu, Önsen Toygar and Hasan Demirel, CNN-based Alzheimer’s disease classification using fusion of multiple 3D angular orientations, Signal, Image and Video Processing, 18, pp.2743-2751, April 2024, DOI: https://doi.org/10.1007/s11760-023-02945-w 
5. Felix O. Babalola, Önsen Toygar and Yıltan Bitirim, Boosting Hand Vein Recognition Performance with the Fusion of Different Color Spaces on Deep Learning Architectures, Signal Image and Video Processing, Vol. 17, pp.4375–4383, November 2023, DOI: https://doi.org/10.1007/s11760-023-02671-3
6. Felix Olanrewaju Babalola, Shehu Hamidu, Önsen Toygar, Human recognition system through major and minor finger knuckle pattern fusion by symmetric-sum method, Journal of Electronic Imaging, Vol. 32, Issue. 5, 053020, September 2023, doi: 10.1117/1.JEI.32.5.053020.
7. Esraa Alqaralleh, Ayman Afaneh and Önsen Toygar, Masked Face Recognition Using Frontal and Profile Faces With Multiple Fusion Levels, Signal Image and Video Processing, Vol. 17, pp.1375–1382, June 2023, DOI: 10.1007/s11760-022-02345-6. 
8. Felix O. Babalola, Yıltan Bitirim and Önsen Toygar, Dorsal Hand Vein Biometrics with A Novel Deep Learning Approach for Person Identification, Acta Scientiarum Technology, Vol. 45, Issue: e61948, April 2023, DOI: 10.4025/actascitechnol.v45i1.61948
9. Emre Özbilge, Mehtap Köse Ulukök, Önsen Toygar and Ebru Ozbilge, "Tomato Disease Recognition Using a Compact Convolutional Neural Network," in IEEE Access, vol. 10, pp. 77213-77224, July 2022, DOI: 10.1109/ACCESS.2022.3192428.
10. Duygu Çelik Ertuğrul, Önsen Toygar and Neda Foroutan, A Rule Based Decision Support System for Aiding Iron Deficiency Management, Health Informatics Journal, Vol. 27(4), pp. 1-24, October 2021, DOI: https://doi.org/10.1177/14604582211066054.
11. İmren Toprak and Önsen Toygar, Detection of Spoofing Attacks for Ear Biometrics Through Image Quality Assessment and Deep Learning, Expert Systems with Applications, Vol. 172, June 2021, DOI: https:// doi.org/10.1016/j.eswa.2021.114600.
12. Felix O. Babalola, Yıltan Bitirim and Önsen Toygar, Palm Vein Recognition Through Fusion of Texture-based and CNN-based Features, Signal Image and Video Processing, Vol.15, No:3, pp.459-466, April 2021, DOI: 10.1007/s11760-020-01765-6.
13. Önsen Toygar, Felix O. Babalola, Yıltan Bitirim, “FYO: A Novel Multimodal Vein Database with Palmar, Dorsal and Wrist Biometrics”, IEEE Access, Vol.8, Issue 1, pp. 82461-82470, April 2020, DOI: 10.1109/ACCESS.2020.2991475.
14. İmren Toprak and Önsen Toygar, Ear Anti-Spoofing Against Print Attacks Using Three-Level Fusion of Image Quality Measures, Signal Image and Video Processing, DOI: 10.1007/s11760-019-01570-w, Vol.14, Issue 2, pp.417–424, March 2020.
15. Önsen Toygar, Esraa Alqaralleh and Ayman Afaneh, On The Use of Ear and Profile Faces for Distinguishing Identical Twins and Non-Twins, Expert Systems, Vol.37, Issue.1, e12389, DOI: 10.1111/exsy.12389, February 2020.
16. Joosep Hook, Fatemeh Noroozi, Önsen Toygar and Gholamreza Anbarjafari, “Automatic speech based emotion recognition using paralinguistics features” Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol. 67, no.3, pp.479-488, June 2019.
17. Shahram Taheri and Önsen Toygar, Integrating Feature Extractors for the Estimation of Human Facial Age, Applied Artificial Intelligence, DOI: 10.1080/08839514.2019.1577009, Vol.33, Issue:5, pp. 379-398, April 2019.
18. Shahram Taheri and Önsen Toygar, Multi-Stage Age Estimation Using Two Level Fusions of Handcrafted and Learned Features on Facial Images, DOI:  10.1049/iet-bmt.2018.5141, IET Biometrics, Vol.8, Issue 2, pp. 124-133, March 2019.
19. Shahram Taheri and Önsen Toygar, On The Use of DAG-CNN Architecture For Age Estimation with Multi-stage Features Fusion, DOI: 10.1016/j.neucom.2018.10.071, Neurocomputing, Vol.329, pp. 300-310, February 2019.
20. Önsen Toygar, Esraa Alqaralleh and Ayman Afaneh, Symmetric Ear and Profile Face Fusion for Identical Twins and Non-Twins Recognition, Signal, Image and Video Processing, DOI: 10.1007/s11760-018-1263-3, Vol.12, Issue.6, pp. 1157-1164, September 2018.
21. Esraa Alqaralleh and Önsen Toygar, Ear Recognition Based on Fusion of Ear and Tragus Under Different Challenges, International Journal of Pattern Recognition and Artificial Intelligence, DOI: 10.1142/S0218001418560098, Vol. 32, No. 09, pp. 1856009-1- 1856009-10, September 2018.
22. Shahram Taheri and Önsen Toygar, Animal Classification Using Facial Images with Score-level Fusion, IET Computer Vision, DOI:  10.1049/iet-cvi.2017.0079, Vol. 12, Issue 5, p. 679 –685, August 2018.
23. Ayman Afaneh, Fatemeh Noroozi and Önsen Toygar, Recognition of Identical Twins Using Fusion of Various Facial Feature Extractors, EURASIP Journal on Image and Video Processing, Vol. 2017:81, pp.1-14, December 2017.
24. Mina Farmanbar and Önsen Toygar, Spoof Detection on Face and Palmprint Biometrics, Signal, Image and Video Processing, Vol.11, Issue:7, pp. 1253-1260, October 2017.
25. Cem Kalyoncu and Önsen Toygar, GTCLC: A Novel Leaf Classification Method Using Multiple Descriptors, IET Computer Vision, Volume 10, Issue 7, pp. 700 – 708, October 2016. 
26. Mina Farmanbar and Önsen Toygar, Feature Selection for the Fusion of Face and Palmprint Biometrics, Signal, Image and Video Processing, Vol.10, Issue:5, pp. 951-958, July 2016.
27. Cengiz Kandemir, Cem Kalyoncu and Önsen Toygar, A Weighted Mean Filter with Spatial-Bias Elimination for Impulse Noise Removal, Digital Signal Processing, Vol. 46, pp. 164-174, November 2015.
28. Mina Farmanbar and Önsen Toygar, A Hybrid Approach for Person Identification Using Palmprint and Face Biometrics, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 29, No.6, pp.1556009-1-1556009-15, September 2015.
29. Maryam Eskandari and Önsen Toygar, Selection of Optimized Features and Weights on Face-Iris Fusion Using Distance Images, Computer Vision and Image Understanding, Vol. 137, pp. 63-75, August 2015.
30. Cem Kalyoncu and Önsen Toygar, Geometric Leaf Classification, Computer Vision and Image Understanding, Vol. 133, pp. 102–109, April 2015. 
31. Maryam Eskandari and Önsen Toygar, Fusion of Face and Iris Biometrics Using Local and Global Feature Extraction Methods, Signal, Image and Video Processing, Vol.8, Issue:6, pp. 995-1006, September 2014.
32. Maryam Eskandari, Önsen Toygar and Hasan Demirel, Feature Extractor Selection for Face-Iris Multimodal Recognition, Signal, Image and Video Processing, Vol.8, Issue:6, pp. 1189-1198, September 2014.
33. Shima Izadpanahi and Önsen Toygar, Human Age Classification with Optimal Geometric Ratios and Wrinkle Analysis, International Journal of Pattern Recognition and Artificial Intelligence, Vol.28, No.2, pp. 1456003-1 - 1456003-17, March 2014
34. Cem Kalyoncu, Önsen Toygar, Hasan Demirel, Interpolation-Based Impulse Noise Removal, IET Image Processing, Vol.7, No.8, pp.777-785, November 2013.
35. Maryam Eskandari, Önsen Toygar and Hasan Demirel, A New Approach For Face-Iris Multimodal Biometric Recognition Using Score Fusion, International Journal of Pattern Recognition and Artificial Intelligence, Vol.27, No.3, May 2013
36. Önsen Toygar and Hakan Altınçay, Preserving Spatial Information and Overcoming Variations in Appearance for Face Recognition, Pattern Analysis and Applications, Vol.14, pp.67-75, February 2011.
37. Önsen Toygar and Adnan Acan, Multiple Classifier Implementation of a Divide-and-Conquer Approach Using Appearance-Based Statistical Methods for Face Recognition, Pattern Recognition Letters, Vol.25, pp. 1421-1430, September 2004.
38. Önsen Toygar and Adnan Acan, Boosting Face Recognition Speed with a Novel Divide-and-Conquer Approach, Lecture Notes in Computer Science (LNCS), Vol. 3280, pp.430-439, October 2004. (SCI-E in 2004)
39. Önsen Toygar and Adnan Acan, Selection of Optimal Dimensionality Reduction Methods for Face Recognition using Genetic Algorithms, Lecture Notes in Computer Science (LNCS), Vol. 3261, pp.472-481, October 2004. (SCI-E in 2004)



International Journal Articles

  1. Felix O. Babalola, Nekabari I. Kpai and Önsen Toygar, Deep Learning Based Classification of Apple Leaf Diseases Using AlexNet, Journal of Computer Science, Vol. IDAP-2023 special issue, pp. 67-74, September 2023, https://doi.org/10.53070/bbd.1349566
  2. Önsen Toygar and Adnan Acan, Recognition of Face Images via Overlapped and Non-overlapped Partitioning, WSEAS Transactions on Signal Processing, Vol. 2, No. 9,  September 2006, pp. 1238-1247.
  3. Önsen Toygar and Adnan Acan , Partitioning-based Face Recognition Using PCA, LDA and ICA, WSEAS Transactions on Computers, Vol. 4, No. 9,  September 2005, pp. 1171-1178.

National Journal Articles (TR-index):

1. Samaneh Sarfarazi and Önsen Toygar, Classification Of Brain Tumors On MRI Images Using Deep Learning Architectures, Kahramanmaraş Sütçü İmam University Journal of Engineering Sciences, 26 (Special Issue),  1177-1186, 2023. https://doi.org/10.17780/ksujes.1339884           

2. Ali Torbati and Önsen Toygar, Masked And Unmasked Face Recognition On Unconstrained Facial Images Using Hand-Crafted Methods, Kahramanmaraş Sütçü İmam University Journal of Engineering Sciences, 26 (Special Issue), 1133-1139, 2023. https://doi.org/10.17780/ksujes.1339868.

3. Felix O. Babalola, Önsen Toygar, Yıltan Bitirim, A Palm Vein Recognition Approach by Multiple Convolutional Neural Network Models, European Journal of Science and Technology, No:29, pp.237-242, December 2021. (doi:10.31590/ejosat.1016532)

4. Önsen Toygar and Adnan Acan, Face Recognition Using PCA, LDA and ICA Approaches on Colored Images, Journal of Electrical and Electronics Engineering (JEEE), Istanbul University, Vol.3, No.1, 2003, pp. 735-743


List of Conference Papers:

International Conference Papers:

 

1. Rodrigo Colnago Contreras, Caio Ulisses Silva Carmassi, Monique Simplicio Viana, Önsen Toygar, Rodrigo Capobianco Guido, A new filter-based framework for detecting spoofing in ear identification systems, International Conference on Artificial Intelligence and Soft Computing (ICAISC2024), Zakopane, Poland (16-20 June, 2024).
2. Leila M. Vaighan, Zeinab Jabbarbobei, Fuat Uyguroğlu, Önsen Toygar, “Exploring Deep Learning Architectures for Multiple Apple Leaf Disease Classification”, 3rd International Conference on Advanced Engineering, Technology and Applications (ICAETA2024), Catania, Italy (24-25 May, 2024).
3. Fuat Uyguroğlu, Önsen Toygar, Hasan Demirel, Deep Learning Based Parkinson’s Disease Classification Using Angular Orientations (Açısal Yönlendirmeler Kullanılarak Derin Öğrenme Tabanlı Parkinson Hastalığı Sınıflandırması), 6th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA2024), İstanbul, Turkey (May 23-25, 2024).
4. Felix Olanrewaju Babalola, Nekabari Isabella Kpai and Önsen Toygar, Deep Learning Based Classification of Apple Leaf Diseases Using AlexNet, 7th International Artificial Intelligence & Data Processing Symposium (IDAP2023), Malatya, Turkey (7-8 September 2023).
5. Samaneh Sarfrazi And Önsen Toygar, Classification of Brain Tumors on MRI Images Using Deep Learning Architectures, International IFS and Contemporary Mathematics and Engineering Conference (IFSCOM-E 2023), Mersin, Turkey (8-11 July 2023).
6. Ali Torbati and Önsen Toygar, Masked and Unmasked Face Recognition on Unconstrained Facial Images Using Hand-Crafted Methods, International IFS and Contemporary Mathematics and Engineering Conference (IFSCOM-E 2023), Mersin, Turkey (8-11 July 2023).
7. Felix O. Babalola, John A. Katende, Yıltan Bitirim, Önsen Toygar, On The Use of Voice Biometrics for Gender Recognition, The 14th International Scientific Research Congress (UBAK 2022) - Science and Engineering Sciences, Ankara, Turkey (20 – 21 August 2022).
8. Felix O. Babalola, Abdulhameed A. Abdulkareem, Yıltan Bitirim, Önsen Toygar,  Spoof Attack Detection in Face Recognition Using Image Quality Metrics, The 14th International Scientific Research Congress (UBAK 2022) - Science and Engineering Sciences,  Ankara, Turkey (20 – 21 August 2022).
9. Önsen Toygar, Mehtap Köse Ulukök, Emre Özbilge, Plant Disease Identification Through Deep Learning, International Conference on Advanced Engineering, Technology and Applications (ICAETA-2021), İstanbul, Turkey (July 9-10, 2021).
10. Shahram Taheri, Zahra Golrizkhatami, Önsen Toygar, Classification of Animal Faces Using A Novel Deep Learning Architecture, International Conference on Advanced Engineering, Technology and Applications (ICAETA-2021), İstanbul, Turkey (July 9-10, 2021).
11. Felix O. Babalola, Önsen Toygar, Yıltan Bitirim, A Palm Vein Recognition Approach by Multiple Convolutional Neural Network Models, 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT 2021), Turkey (October 21-23, 2021). 
12. Felix O. Babalola, Önsen Toygar, Yıltan Bitirim, Wrist Vein Recognition by Fusion of Multiple Handcrafted Methods, 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA2021), DOI: 10.1109/HORA52670.2021.9461367, Turkey (June 11-13, 2021). 
13. Yıltan Bitirim, Selin Bitirim, Duygu Çelik Ertuğrul and Önsen Toygar, An Evaluation of Reverse Image Search Performance of Google, 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), Madrid, Spain (July 13-17, 2020).
14. Hussaini Habib, İmren Toprak and Önsen Toygar, A Feature-Level Fusion Approach for Iris Anti-Spoofing Using Image Quality Assessment, 6th International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA2019), Girne, Northern Cyprus (March 6-8, 2019).
15. Suleiman A. Usman, İmren Toprak and Önsen Toygar, Classification of Corn and Grape Plant Diseases Through Leaf Images, 6th International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA2019), Girne, Northern Cyprus (March 6-8, 2019). 
16. İmren Toprak and Önsen Toygar, Fusion of Full-Reference and No-Reference Anti-Spoofing Techniques for Ear Biometrics under Print Attacks, International Conference on Advanced Technologies, Computer Engineering and Science (ICATCES’18), Safranbolu, Turkey (May 11-13, 2018)
17. Maryam Eskandari and Önsen Toygar, Score Level Fusion for Face-Iris Multimodal Biometric System, 28th International Symposium on Computer and Information Sciences (ISCIS2013), Paris, France (October 28-29, 2013) 
18. Maryam Eskandari and Önsen Toygar, Person Identification Using Face and Iris Multimodal Biometric System, The 2012 International Conference on Image Processing, Computer Vision and Pattern Recognition (IPCV2012), Nevada, USA (July 16-19, 2012)
19. Shima Izadpanahi and Önsen Toygar, Geometric Feature Based Age Classification Using Facial Images, The IET Image Processing Conference (IPR2012), London, UK (July 3-4, 2012) 
20. Fatemeh Mirzaei and Önsen Toygar, Facial Age Classification Using Subpattern-based Approaches, The 2011 International Conference on Image Processing, Computer Vision and Pattern Recognition (IPCV2011), Nevada, USA (July 18-21, 2011) 
21. Fatemeh Mirzaei and Önsen Toygar,  Age Classification using Facial Feature Extraction on Female and Male Images, The 3rd International Conference on Digital Image Processing (ICDIP 2011), Chengdu, China (April 15-17, 2011).
22. Maryam Eskandari and Önsen Toygar, Effect of Eyelid and Eyelash Occlusions on Iris Images using Subpattern-based Approaches, 5th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control (ICSCCW2009), September 2009, Gazimağusa, Northern Cyprus.
23. Önsen Toygar, Cem Ergün, Hakan Altınçay, Using Local Features Based Face Experts in Multimodal Biometrics Identification Systems, 5th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control (ICSCCW2009), September 2009, Gazimağusa, Northern Cyprus. 
24. Meryem Erbilek and Önsen Toygar, Recognizing Partially Occluded Irises Using Subpattern-based Approaches, 24th International Symposium on Computer and Information Sciences (ISCIS2009), September 2009, Güzelyurt, Northern Cyprus. 
25. Meryem Erbilek  and Önsen Toygar,  Performance Analysis of Partitioning-based and Subpattern-based Approaches on Iris Recognition, The 9th International Conference on Visualization, Imaging and Image Processing  (VIIP 2009), July 2009, Cambridge, UK 
26. Siamak Tafavogh and Önsen Toygar,  Facial Expression Recognition with Subpattern-based Approaches, The 9th International Conference on Visualization, Imaging and Image Processing  (VIIP 2009), July 2009, Cambridge, UK 
27. Hüseyin Sertbay and Önsen Toygar,  Face Recognition in the Presence of Age Differences using Holistic and Subpattern-based Approaches, WSEAS  International Conference on Signal Processing (SIP 2009), May2009, İstanbul, Turkey .
28. Meryem Erbilek  and Önsen Toygar,  Robustness of Subpattern-based Approaches to Occlusions on Iris Images, The 2009 International Conference on Image Processing, Computer Vision and Pattern Recognition (IPCV09), July 13-16, 2009, Nevada, USA
29. Siamak Tafavogh and Önsen Toygar,  Recognizing Facial Expressions Using Subspace Linear Discriminant Analysis, The 2009 International Conference on Image Processing, Computer Vision and Pattern Recognition (IPCV09), July 13-16, 2009, Nevada, USA.
30. Tiwuya H. Faaya and Önsen Toygar, Illumination Invariant Face Recognition under Various Facial Expressions and Occlusions, International Conference on Image and Signal Processing (ICISP08), Lecture Notes in Computer Science (LNCS), July 1-3, 2008, Normandy, France
31. Tiwuya H. Faaya and and Önsen Toygar, On Occlusion Robust, Illumination and Facial Expression Invariant Face Recognition, The 2008 International Conference on Image Processing, Computer Vision and Pattern Recognition (IPCV08), Nevada, USA, July 14-17, 2008.
32. Tiwuya H. Faaya and and Önsen Toygar, Recognizing Faces under Facial Expression Variations and Partial Occlusions, The 7th WSEAS International Conference on Signal Processing (SIP'08), İstanbul, Turkey, May 27-29, 2008. 
33. Meryem Erbilek and Önsen Toygar, Reducing the Effect of Partial Occlusions on Iris Recognition, 3rd International Conference on Computer Vision Theory and Applications (VISAPP08), 22-25 January, 2008, Funchal, Madeira, Portugal. 
34. Önsen Toygar,Sensitivity Analysis of Partitioning-based Face Recognition Algorithms on Occlusions, in Proceedings of the 6th WSEAS International Conference on Applications of Electrical Engineering, pp. 21-27, İstanbul, Turkey, May 2007. 
35. Önsen Toygar and Adnan Acan, Overlapping on Partitioned Facial Images, 6th WSEAS International Conference on Signal, Speech and Image Processing (WSEAS SSIP'06), 22-24 September 2006, Lisbon, Portugal, pp.197-202.
36. Önsen Toygar and Adnan Acan, Improved Recognition Performance of LDA- and ICA-based Face Recognition Using Vertically and Horizontally Partitioned Facial Images, 5th WSEAS International Conference on Signal, Speech and Image Processing (WSEAS SSIP'05), 17-19 August 2005, Corfu Island, Greece, pp.96-100.
37. Önsen Toygar and Adnan Acan, An Analysis of Appearance-Based Statistical Methods and Autoassociative Neural Networks on Face Recognition, International Conference on Artificial Intelligence (IC-AI’03), 23-26 June 2003, Nevada, USA, pp. 292-298.


International Conference Abstracts:

  1. Meryem Erbilek and Önsen Toygar, Iris Recognition on Partially Occluded Images, 22nd International Symposium on Computer and Information Sciences (ISCIS07), November 7-9, 2007, Ankara, Turkey.

National Conference Papers:

  1. Önsen Toygar and Adnan Acan, Face Recognition using Autoassociative Neural Networks: An Experimental Evaluation on the FERET Database, 12th Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN’03), 2-4 July 2003, Canakkale, Turkey, pp.734-743.
  2. Önsen Toygar and Adnan Acan, A Comparative Performance Analysis of PCA and LDA on Face Recognition Using Colored Images, 11thTurkish Symposium on Artificial Intelligence and Neural Networks (TAINN’02), 20-21 June 2002, Istanbul, Turkey, pp.113-122.
  3. Adnan Acan, Önsen Toygar and Mehtap Köse, Performance of Reciprocal Translocation on the Set-Covering Problem, 11th Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN’02), 20-21 June 2002, Istanbul, Turkey, pp.209-218.
  4. Önsen Toygar and Adnan Acan, University Course Timetabling Using Genetic　Algorithms, 10th Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN’01), 21-22 June 2001, Gazimagusa, T.R.N.C., pp.136-143.



Prof. Dr. Önsen Toygar