Journal Publications:

1. S. F. Ismael, K. Kayabol, E. Aptoula, "Unsupervised domain adaptation for the semantic segmentation of remote sensing images via a class-aware Fourier transform and a fine-grained discriminator", Digital Signal Processing, vol. 151, pp., 104551, 2024.
2. S. F. Ismael, K. Kayabol and E. Aptoula, "Unsupervised domain adaptation for the semantic segmentation of remote sensing images via one-shot image-to-image translation," IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023.
3. K. Kayabol, E. B. Aytekin, S. Arisoy and E. E. Kuruoglu, "Skewed t-distribution for hyperspectral anomaly detection based on autoencoder", IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022.
4. S. Arisoy, N. M. Nasrabadi and K. Kayabol, "Unsupervised pixel-wise hyperspectral anomaly detection via autoencoding adversarial networks," IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022.
5. S. Kutluk, K. Kayabol and A. Akan, "A new CNN training approach with application to hyperspectral image classification", Digital Signal Processing, vol. 113, pp. 103016, 2021.
6. S. Arisoy and K. Kayabol, "Nonparametric Bayesian background estimation for hyperspectral anomaly detection", Digital Signal Processing, vol. 111, pp. 106-114, 2021.
7. K. Kayabol, “Approximate sparse multinomial logistic regression for classification,” IEEE Trans. Pattern Anal. Machine Intell., vol. 42, no. 2, pp. 490-493, 2020.
8. A. Tombak, I. Turkmenli, E. Aptoula and K. Kayabol, "Pixel-based classification of SAR images using feature attribute profiles", IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 4, pp. 564-567, 2019.
9. K. Kayabol and S. Kutluk, "Bayesian classification of hyperspectral images using spatially-varying Gaussian mixture model", Digital Signal Processing, vol. 59, pp. 106–114, 2016.
10. S. Arisoy and K. Kayabol, "Mixture-based superpixel segmentation and classification of SAR images", IEEE Geoscience and Remote Sensing Letters, vol. 13, no.1 1, pp. 1721-1725, 2016.
11. K. Kayabol, “Histogram based contextual classification of SAR images”, IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 1, pp. 33-37, 2015.
12. K. Kayabol, B. Gunsel, “Unsupervised classification of SAR images using normalized gamma process mixtures”, Digital Signal Processing, vol. 23, pp. 1344-1354, Sep. 2013.
13. K. Kayabol and J. Zerubia, “Unsupervised amplitude and texture classification of SAR images with multinomial latent model,” IEEE Trans. Image Process., vol. 22, no. 2, pp. 561-572, Feb., 2013.
14. K. Kayabol, J.L. Sanz, D. Herranz, E.E. Kuruoglu, E. Salerno , “Joint Bayesian separation and restoration of CMB from convolutional mixtures,” Monthly Notices Royal Astronomical Society, vol. 415, pp. 1334-1342, 2011.
15. F. Argueso, E. Salerno, D. Herranz, J.L. Sanz, E.E. Kuruoglu, K. Kayabol, “A Bayesian technique for the detection of point sources in CMB maps,” Monthly Notices Royal Astronomical Society, vol. 414, no.4, pp. 410-417, 2011.
16. S. Ricciardi, A. Bonaldi, P. Natoli, G. Polenta, C. Baccigaluppi, E. Salerno, K. Kayabol, L. Bedini, G. De Zotti “Correlated component analysis for diffuse component separation with error estimation on simulated Planck polarization data,” Monthly Notices Royal Astronomical Society, vol. 406, no. 3, pp. 1644-1658 2010.
17. K. Kayabol, E.E. Kuruoglu, J.L. Sanz, B. Sankur, E. Salerno, D. Herranz, “Adaptive Langevin sampler for separation of t-distribution modelled astrophysical maps,” IEEE Trans. Image Process., vol. 19, no.9, pp. 2357-2368, 2010.
18. K. Kayabol, E.E. Kuruoglu and B. Sankur, “Bayesian separation of images modelled with MRFs using MCMC”, IEEE Trans. Image Process., vol. 18, no. 5, pp. 982-994, May 2009.
19. K. Kayabol and E. T. Akman, “The peak-constrained optimization of stable linear-phase IIR PRQMF bank,” AEÜ – International Journal of Electronics and Communications, vol. 59, no.1, pp. 8-14, March 2005.
20. E.T. Akman and K. Kayabol, "The use of CNN for 2D two-channel DC IIR filter bank design," IEICE Trans. Fundamentals, vol.E85-A, no.11, Nov. 2002.

Papers in International Conferences:

1. I. Turkmenli, K. Kayabol and E. Aptoula, "A smoothing layer for SAR image semantic segmentation with fully convolutional networks,"Joint Urban Remote Sensing Event (JURSE), Heraklion, Greece, 2023, pp. 1-4.
2. F. E. Simsek, C. Cigla, and K. Kayabol, “SOMPT22: A surveillance oriented multi-pedestrian tracking dataset”, Real-World Surveillance: Applications and Challenges Workshop, ECCV’22, Tel Aviv, Israel, 2022.
3. S. F. Ismael, E. Aptoula and K. Kayabol, "A joint semantic segmentation loss function for imbalanced datasets," 2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), pp. 13-16, 2022.
4. I. Turkmenli, E. Aptoula and K. Kayabol, “Superpixel based graph convolutional neural network for SAR image segmentation”, Proc. SPIE 11862, Image and Signal Processing for Remote Sensing XXVII 11862, 148-153, 2021.
5. S. Arisoy, N. M. Nasrabadi and K. Kayabol, "GAN-based hyperspectral anomaly detection", 28th European Signal Processing Conference, EUSIPCO’20, Amsterdam, Netherlands, pp. 1891-1895, 2021.
6. S. Arisoy and K. Kayabol, "Anomaly detection in hyperspectral images via superpixel segmentation and unsupervised background learning", 10th IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS'19, Amsterdam, The Netherlands, Sep. 2019.
7. S. Kutluk, K. Kayabol and A. Akan, “Spectral-spatial classification of hyperspectral images using CNNs and approximate sparse multinomial logistic regression”, 27th European Signal Processing Conference, EUSIPCO’19, A Coruna, Spain, Sep. 2019.
8. S. Kutluk, K. Kayabol and A. Akan, “Classification of hyperspectral images using mixture of probabilistic PCA model”, 24th European Signal Processing Conference, EUSIPCO’16, pp. 1568-1572, Budapest, Hungary, Sep. 2016.
9. K. Kayabol, “Bayesian Gaussian mixture model for spatial-spectral classification of hyperspectral images”, 23th European Signal Processing Conference, EUSIPCO’15, pp. 1845-1849, Nice, France, Sep. 2015.
10. K. Kayabol, “Model-based superpixel segmentation of SAR images”, 23th European Signal Processing Conference, EUSIPCO’15, pp. 1840-1844, Nice, France, Sep. 2015.
11. K. Kayabol, “Local histogram based classification of SAR images using spatially dependent mixtures”, IEEE Int. Conf. Image Processing ICIP’14, pp. 5157-5161, Paris, France, Oct. 2014.
12. K. Kayabol, B. Gunsel, “SAR image classification with normalized gamma process mixtures”, IEEE Int. Conf. Image Processing ICIP’13, pp. 320-324, Melbourne, Australia, Sep. 2013.
13. K. Kayabol, J. Zerubia, “A comparison of texture and amplitude based unsupervised SAR classifications for urban area extraction”, IEEE Int. Geoscience Remote Sensing Sym. IGARSS’12, pp. 4054-4057, Munich, Germany, July 2012.
14. K. Kayabol, V.A. Krylov, J. Zerubia, “Unsupervised classification of SAR images using hierarchical agglomeration and EM”, MUSCLE Int. Workshop Computational Intelligence Multimedia Understanding, LNCS 7252, pp. 54-65, Pisa, Italy, Dec. 2011.
15. K. Kayabol, A. Voisin, J. Zerubia, “SAR image classification with non-stationary multinomial logistic mixture of amplitude and texture densities”, IEEE Int. Conf. Image Processing ICIP’11, pp. 173-176, Brussels, Belgium, Sep. 2011.
16. D. Herranz, F. Argueso, E. Salerno, E.E. Kuruoglu, K. Kayabol, “Bayesian map detection of extragalactic point sources in microwave astronomical images”, IEEE Int. Conf. Image Processing ICIP’11, pp. 1317-1320, Brussels, Belgium, Sep. 2011.
17. K. Kayabol, and E.E. Kuruoglu, “Non-stationary t-distribution prior for image source separation from blurred observations,” 9th Int. Conf. Latent Variable Analysis and Signal Separation, LVA/ICA’10, LNCS vol. 6365, pp. 506-513, Malo, France, Sep. 2010, Springer Verlag.
18. Q. Yan, E. E. Kuruoglu, X. Yang, Y. Xu, K. Kayabol, “Separating reflections from a single image using spatial smoothness and structure information,” 9th Int. Conf. Latent Variable Analysis and Signal Separation, LVA/ICA’10, LNCS vol. 6365, pp. 637-644, Malo, France, Sep. 2010, Springer Verlag.
19. K. Kayabol, J. L. Sanz, D. Herranz, E.E. Kuruoglu and E. Salerno, “Blind source separation from multi-channel observations with channel-variant spatial resolution,” 18th European Signal Processing Conference, EUSIPCO’10, pp. 1077-1081, Aalborg, Denmark, Aug. 2010.
20. K. Kayabol, J. L. Sanz, D. Herranz, E.E. Kuruoglu and E. Salerno, “Astrophysical map reconstruction from convolutional mixtures,” Conf. Astronomical Data Analysis, ADA’10, Monastir, Tunisia, May 2010.
21. K. Kayabol, E.E. Kuruoglu, B. Sankur, E. Salerno and L. Bedini, “Fast MCMC Separation for MRF Modelled Astrophysical Components,” IEEE Int. Conf. Image Processing ICIP’09, pp. 2769-2772, Cairo, Egypt, Nov. 2009.
22. K. Kayabol, E. E. Kuruoglu and B. Sankur, “Image source separation using color channel dependencies”, Int. Conf. Independent Component Analysis ICA’09, LNCS, vol. 5441, pp. 499-506, Paraty, Brazil, March 2009, Springer Verlag.
23. K. Kayabol, E.E. Kuruoglu and B. Sankur, “Image separation using iterated posterior point estimation,” 16th European Signal Processing Conference, EUSIPCO’08, Lausanne, Switzerland, Aug. 2008.
24. K. Kayabol, B. Sankur and E.E. Kuruoglu, “Source separation in image via MRFs with variational approximation,” 15th European Signal Processing Conference, EUSIPCO’07, pp. 423-427, Poznan, Poland, Sept. 2007.
25. A. Ozmen, E. Tufan-Akman, K. Kayabol and O. N. Ucan, “The combination of steerable filters and CNN for edge detection application,” 2nd Int. Conf. on Electrical and Electronics Engineers ELECO’01, pp. 122-125, Bursa, Turkey, Nov. 2001.
26. E. Tufan-Akman and K. Kayabol, “2-D two-channel IIR PRQMF bank design using CNN,” European Conference on Circuit Theory and Design ECCTD’01, vol. 2, pp. 265-268, Espoo, Finland, Aug. 2001.
27. E. Tufan-Akman, K. Kayabol and V. Tavsanoglu, “IIR PR-QMF bank design based on Lagrangian method,” WSES/IEEE Multi-conf. on Circuits, Systems, Communications, and Computers CSCC’01, Rethymnon, Crete Island, Greece, July 2001.

Abstracts in International Conferences:

1. F. Argueso, E. Salerno, D. Herranz, J. L. Sanz, E. E. Kuruoglu, K. Kayabol, “A Bayesian technique to detect of point sources in CMB maps,” PLANCK Conf. 2011, Paris, France, Jan. 2011.
2. E. E. Kuruoglu, K. Kayabol, D. Herranz, B. Sankur, E. Salerno, J. L. Sanz, “Adaptive Langevin sampler for Bayesian separation of cosmological components,” PLANCK Conf. 2011, Paris, France, Jan. 2011.

Papers in National Conferences (in Turkish):

1. K. Kayabol, E. B. Aytekin, S. Arisoy and E. E. Kuruoglu, "Hyperspectral anomaly detection with multivariate skewed t background model," 30. IEEE Signal Processing and Communications Applications Conference (SIU’22), Karabuk, Turkey, 2022.
2. I. Turkmenli, E. Aptoula and K. Kayabol, "Group equivariant U-Net for the semantic segmentation of SAR images," 30. IEEE Signal Processing and Communications Applications Conference (SIU’22), Karabuk, Turkey, 2022.
3. F. N. Yılmaz and K. Kayabol, “Unsupervised hyperspectral anomaly detection with convolutional neural networks”, 29. IEEE Signal Processing and Communications Applications Conference (SIU’21), Istanbul, Turkey, 2021.
4. I. Turkmenli, E. Aptoula and K. Kayabol, "Land cover classification of PolSAR images using semantic segmentation networks," 28. IEEE Signal Processing and Communications Applications Conference (SIU’20), Gaziantep, Turkey, 2020.
5. I. Turkmenli and K. Kayabol, "Ensemble learning based classification of high resolution SAR images", 27. IEEE Signal Processing and Communications Applications Conference (SIU’19), Sivas, Turkey, April 2019.
6. Y. E. Sahin, S. Arisoy and K. Kayabol, “Anomaly detection in hyperspectral images using Bayesian Gauss background model”, 26. IEEE Signal Processing and Communications Applications Conference (SIU’18), İzmir, Turkey, May 2018.
7. A. Tombak, E. Aptoula and K. Kayabol, “Pixel-based classification of SAR images using features”, 26. IEEE Signal Processing and Communications Applications Conference (SIU’18), İzmir, Turkey, May 2018.
8. I. Turkmenli, K. Kayabol and E. Aptoula, “Comparison of semantic classification algorithms on SAR images”, 26. IEEE Signal Processing and Communications Applications Conference (SIU’18), İzmir, Turkey, May 2018.
9. S. Kutluk, K. Kayabol and A. Akan, “A discriminative model for contextual classification of hyperspectral images”, 26. IEEE Signal Processing and Communications Applications Conference (SIU’18), İzmir, Turkey, May 2018.
10. S. D. Talipoglu, K. Kayabol and K. G. Ince, “A comparative study on fusion of visible and infrared images”, 26. IEEE Signal Processing and Communications Applications Conference (SIU’18), İzmir, Turkey, May 2018.
11. S. Arisoy and K. Kayabol, “Classification of local SAR features with convolutional neural network”, 25. IEEE Signal Processing and Communications Applications Conference (SIU’17), Antalya, Turkey, May 2017.
12. S. Kutluk, K. Kayabol and A. Akan, “A probabilistic method for the classification of hyperspectral images”, 24. IEEE Signal Processing and Communications Applications Conference (SIU’16), pp. 905-908, Zonguldak, Turkey, May 2016.
13. S. Arisoy and K. Kayabol, “Superpixel-based classification of SAR images”, 23. IEEE Signal Processing and Communications Applications Conference (SIU’15), pp. 783 – 786, Malatya, Turkey, May 2015.
14. K. Kayabol, and J. Zerubia, “An hierarchical approach for model-based classification of SAR images,” 20. IEEE Signal Processing and Communications Applications Conference (SIU’12), Mugla, Turkey, April 2012.
15. K. Kayabol, “Latent variable based spatial clustering with background noise”, 20. IEEE Signal Processing and Communications Applications Conference (SIU’12), Mugla, Turkey, April 2012.
16. K. Kayabol, E. E. Kuruoglu and B. Sankur, “Astrophysical Component Separation with Langevin Sampler,” 17. IEEE Signal Processing and Communications Applications Conference (SIU’09), Antalya, Turkey, April 2009.
17. K. Kayabol, E. E. Kuruoglu and B. Sankur, “2D particle filter realization in MRF modeled images,” 16. IEEE Signal Processing, Communication and Applications Conference (SIU'08), Didim, Turkey, April, 2008.
18. K. Kayabol, E. E. Kuruoglu and B. Sankur, “Fully Bayesian Image Separation using Markov Chain Monte Carlo,” 15. Signal Processing, Communication and Applications Conference (SIU'07), Eskisehir, Turkey, June 2007.
19. K. Kayabol and E. Tufan-Akman, ” Particle mechanics based hybrid Monte Carlo estimation of image sequence,” 14. Signal Processing, Communication and Applications Conference (SIU'06), Antalya, Turkey, April 2006.
20. K. Kayabol and E. Tufan-Akman, "Adaptive directional filter design," 11. Signal Processing, Communication and Applications Conference (SIU'03), pp. 422-425, Istanbul, Turkey, June 2003.
21. K. Kayabol ve E. Tufan-Akman, "Image enhancement and restoration using cellular neural networks banks," 10. Signal Processing, Communication and Applications Conference SIU'02, pp. 1238-1242, Pamukkale, Turkey, June 2002.
22. K. Kayabol, ve E. Tufan-Akman, “2D IIR PRQMF banks design using cellular neural networks,” Electrical, Electronics and Computer Engineering Symposium,NEU-CEE’01, pp. 324-327, Nicosia, N. Cyprus, May 2001.

Non Scientific, Media Appearance:

1. K. Kayabol, “Region-based unsupervised classification of SAR Images,” ERCIM News, no.89, p. 45, Apr. 2012.

• ELM 218 Olasılık ve Rastgelelik
• ELM 462 İstatistiksel İşaret İşlemenin Temelleri
• ELM 491 Bitirme Çalışması I
• ELM 492 Bitirme Çalışması II
• ELM 562 İstatistiksel İşaret İşleme
• ELM 642 İşaret İşleme için Makine Öğrenmesi
• ELM 661 Hesaplamalı Çıkarım ve Öğrenme

Doktora Tezleri:

Sertaç Arısoy, "Hiperspektral İmgelerde Anomali Saptama için İstatistiksel Yöntemler", Doktora Tezi, Gebze Teknik Üniversitesi, 2021.

Sezer Kutluk, "Hiperspektral İmgelerin İzge-Uzamsal Sınıflandırılması için Olasılıksal Modeller", Doktora Tezi, İstanbul Üniversitesi-Cerrahpaşa, 2021. (2. danışman)

Sarmad F. I. Ismael, "Deep Domain Adaptation for the Semantic Segmentation of Remote Sensing Images", Doktora Tezi, Gebze Teknik Üniversitesi, 2023. (2. danışman Erchan Aptoula)

Yüksek Lisans Tezleri:

Sertaç Arısoy, "Uzaktan Algılama Görüntülerinin Süperpiksel Tabanlı Sınıflandırılması", Yüksek Lisans Tezi, Gebze Teknik Üniversitesi, 2016.

İlter Türkmenli, "SAR İmgelerinin Anlambilimsel Sınıflandırılması", Yüksek Lisans Tezi, Gebze Teknik Üniversitesi, 2018.

Yunus Emre Şahin, "Hiperspektral Görüntülerde Anomali Saptama için Arkaplan Çıkarımı", Yüksek Lisans Tezi, Gebze Teknik Üniversitesi, 2019.

Sadettin Durmuş Talipoğlu, "Farklı Spektral Banttaki Görüntülerin Kaynaştırılması", Yüksek Lisans Tezi, Gebze Teknik Üniversitesi, 2019.

Ayşe Tombak, "SAR İmgelerinin Öznitelik Tabanlı Sınıflandırılması", Yüksek Lisans Tezi, Gebze Teknik Üniversitesi, 2019.

Nur Alabuğa, "Olasılıksal Alt-uzay Yöntemleri ile Hiperspektral İmgelerde Anomali Saptama", Yüksek Lisans Tezi, Gebze Teknik Üniversitesi, 2022.

Ensar Burak Aytekin, "Hiperspektral İmgelerde Arka Planın Normal Olmayan Dağılımlar ile Modellenmesi ve Anomali Tespiti", Yüksek Lisans Tezi, Gebze Teknik Üniversitesi, 2022.

• Doktora: İstanbul Üniversitesi, 2008
• Yüksek lisans: İstanbul Üniversitesi, 2002
• Lisans: İstanbul Üniversitesi, 1997

> 2001 – 2008: Araştırma Görevlisi, Elektrik & Elektronik Müh. Böl., İstanbul Üniversitesi, İstanbul
> 2008 – 2010: Doktora Sonrası Araştırmacı, ISTI, CNR, Pisa, İtalya.
> 2010 – 2011: Doktora Sonrası Araştırmacı, Ariana, INRIA, Sophia Antipolis, Fransa.
> 2011 – 2012: Doktora Sonrası Araştırmacı, CWI, Amsterdam, Hollanda
> 2012 – 2013: Doktora Sonrası Araştırmacı, İstanbul Teknik Üniversitesi