Publications

SCI JOURNALS:
  1. G. Ortaç, A. S. Bilgi, K. Taşdemir, Habil Kalkan, (2016), “A hyperspectral imaging based control system for quality assessment of dried figs”, Computers and Electronics in Agriculture, 130, 38-47.
  2. K. Taşdemir, B. Yalçin, I. Yildirim, (2015),"Approximate spectral clustering with utilized similarity information using geodesic based hybrid distance measures", Pattern Recognition,  48 (4), 1465-1477.
  3. K. Taşdemir, Y. Moazzen, I. Yıldırım, (2015) "An Approximate Spectral Clustering Ensemble for High Spatial Resolution Remote-Sensing Images", IEEE JSTARS, 8 (5), 1996-2004.
  4. K. Taşdemir (2012), “Vector quantization based approximate spectral clustering of large datasets”, Pattern Recognition, 45(8), 3034-3044.
  5. K. Taşdemir, C. Wirnhardt (2012), “Neural network based clustering for agriculture management”, EURASIP Journal on Advances in Signal Processing, Special Issue on  Neural Networks for Interpretation of Remotely Sensed Data, Invited Paper.
  6. K. Taşdemir (2012), “Exploiting spectral and spatial information for identification of hazelnut fields using self-organizing maps”, International Journal of Remote Sensing, vol. 33(19), 6239-6253.
  7. K. Taşdemir, P. Milenov, B. Tapsall (2012), “A hybrid method combining SOM-based clustering and object-based analysis for identifying land in good agricultural condition,” Computers and Electronics in Agriculture, vol. 83, 92-101. 
  8. S. Aksoy, I. Z. Yalniz, and K. Taşdemir (2012), “Automatic Detection and Segmentation of Orchards Using Very High-Resolution Imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 50 (8), 3117-3131.
  9. S. Reis and K. Taşdemir (2011), “Identification of hazelnut fields using spectral and textural features,” ISPRS Journal of Photogrammetry and Remote Sensing, 66(5), 652-661.
  10. K. Taşdemir, P. Milenov and B. Tapsall (2011), “A topology based hierarchical clustering of self-organizing maps,” IEEE Transactions on Neural Networks, 22(3), 474-485. 
  11. K. Taşdemir and E. Merényi (2011), “A validity index for prototype based clustering of data sets with complex cluster structures,” IEEE Transactions on Systems Man and Cybernetics, Part B, 41(4), 1039-1053. 
  12. K. Taşdemir (2010), “Graph Based Representations of Density Distribution and Distances for Self-Organizing Maps,” IEEE Transactions on Neural Networks, 21(3), 520-527.
  13. K. Taşdemir and E. Merényi (2009), “Exploiting data topology in visualization and clustering of Self-Organizing Maps”, IEEE Transactions on Neural Networks, 20(4), 549 – 562.
BOOK CHAPTERS
  1. Erzsébet Merényi, Kadim Taşdemir, Lili Zhang, “Learning highly structured manifolds: harnessing the power of SOMs”, Chapter in “Similarity based clustering”, Lecture Notes in Artificial Intelligence (Eds. M. Biehl, B. Hammer, M. Verleysen, T. Villmann), Springer-Verlag. LNAI 5400, 138 – 168, 2009.
THESIS
  • PhD Thesis, (2008), “The Use of Data Topology in Unsupervised Clustering of High-Dimensional Data by Self-Organizing Maps”, Dept. of Electrical and Computer Engineering, Rice University Houston (TX), USA. Advisor: Dr. Erzsébet Merényi
  • MSc Thesis (2004), “Application of Fusion Algorithms in Character Recognition”, Computer Engineering, Istanbul Technical University, Istanbul, Turkey. Advisor: Dr. Muhittin Gokmen

CONFERENCE PROCEEDINGS 
  1. Y. Moazzen and K. Taşdemir, (2016), “Sampling based approximate spectral clustering ensemble for partitioning datasets”, International Conference on Pattern Recognition (ICPR), 1630-1635.
  2. E. Pala and K. Taşdemir (2016), “Fast extraction of plastic greenhouses using Worldview-2 images”, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 6292-6295, Beijing, China.
  3. K. Taşdemir, "Approximate spectral clustering for unsupervised agriculture monitoring", Fourth International Conference on Agro-GeoInformatics, 20-24 July 2015, Istanbul, Turkey.
  4. Y. Moazzen, B. Yalçın, K. Taşdemir, "Sampling based approximate spectral clustering ensemble for unsupervised land cover identification", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 26-31 July 2015, Milan, Italy, 2015.
  5. E. Pala, K. Taşdemir, D. Koc-San, "Unsupervised extraction of greenhouses using approximate spectral clustering ensemble", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 26-31 July 2015, Milan, Italy, 2015.
  6. G. Ortaç, K. Taşdemir, A. S. Bilgi, E. Durmuş, H. Kalkan, "A hyperspectral imaging system for detection of dried figs with black mold", WHISPERS 2015, 2-5 June, Tokyo, Japan, 2015.
  7. E. Durmuş, A. S. Bilgi, G. Ortaç, H. Kalkan, K. Taşdemir, "Detection of black mold infected figs by using transmittance spectroscopy", WHISPERS 2015, 2-5 June, Tokyo, Japan, 2015.
  8. K Taşdemir, “Dimensionality reduction based similarity visualization for neural gas”, IEEE International Conference on Data Mining Workshop (ICDMW), 668-675, Shenzen, China, December 2014. 
  9. K.Taşdemir, Y. Moazzen, İ. Yıldırım, “Geodesic based similarities for approximate spectral clustering”, ICPR2014, 24-28 August 2014, Stockholm, Sweden, 2014. 
  10. K. Taşdemir D. Koç-San, “Unsupervised extraction of greenhouses using Worldview-2 images”, IGARSS’2014, 13-18 July 2014, Quebec, Canada, 2014. 
  11. K. Taşdemir, “A hybrid similarity measure for approximate spectral clustering of remote sensing images”, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 2013, Melbourne, Australia, 2013. 
  12. S. Şenturk, K. Tasdemir, S. Kaya, E. Sertel, "Unsupervised classification of vineyard parcels using SPOT5 images by utilizing spectral and textural features," 2013 Second International Conference on Agro-Geoinformatics, pp.61,65, 12-16 August 2013.
  13. K. Taşdemir and C. Wirnhardt, “Automatic assessment of land parcel identification systems for agricultural management”, IEEE IGARSS 2012, 22-27 July 2012, Munich, Germany. 
  14. P. Milenov and K. Taşdemir, “Optimization of RapidEye time-series for annual inventory of the agriculture land at country level”, 32nd EARSeL Symposium, 1st Workshop on Temporal Analysis of Satellite Image Data, 23-25 May 2012, Mykonos, Greece. 
  15. R. de Kok and K. Taşdemir, “Contrast analysis in high-resolution imagery for near and far neighborhoods”, GEOBIA 2012, 7-9 May 2012, Rio de Janeiro, Brazil. 
  16. K. Taşdemir, “Spectral clustering as an automated SOM segmentation tool”, Workshop on Self Organizing Maps (WSOM2011), 13-15 June 2011, Espoo, Finland. 
  17. K. Taşdemir, “Neural network based approximate spectral clustering for remote sensing images”, IEEE IGARSS 2011, 22-29 July 2011, Vancouver, Canada. 
  18. K. Taşdemir and S. Reis, “Land cover identification for finding hazelnut fields using Worldview2 imagery”, IEEE IGARSS 2011, 22-29 July 2011, Vancouver, Canada. 
  19. R de Kok and K. Taşdemir, “Analysis of high-resolution remote sensing imagery with textures derived from single pixel objects”, SPIE Remote Sensing Conference 8181, Earth Resources and Environmental Remote Sensing/GIS Applications, 19-22 September 2011, Prague, Czech Republic. 
  20. B. Tapsall, P. Milenov and K. Taşdemir, “Analysis Of Rapideye Imagery For Annual Landcover Mapping As An Aid To European Union (EU) Common Agricultural Policy”, The International Archives Of The Photogrammetry, Remote Sensing And Spatial Information Sciences, Vol. XXXVIII, Part 7B, ISPRS Technical Commission VII Symposium 100 Years ISPRS Advancing Remote Sensing Science, pp. 568-573, 5-7 July 2010, Vienna, Austria. 
  21. K. Taşdemir, “Classification of hazelnut orchards by self-organizing maps”, In Proc. 6th IAPR Workshop on Pattern Recognition in Remote Sensing PRRS 2010, 22 August 2010, Istanbul, Turkey. 
  22. K. Taşdemir and Pavel Milenov,”An automated SOM clustering based on data topology”, Proc. of 18th European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, D-Facto, 27-30 April 2010, pp. 375-380. 
  23. K. Taşdemir, “An Automated Clustering Method for Self-Organizing Maps”, Proc. International Symposium on INnovations in Intelligent SysTems and Applications, 29-01 June 2009 (INISTA2009), Trabzon, Turkey. 
  24. K. Taşdemir, and E. Merényi, “Cluster analysis in remote sensing spectral imagery through graph representation and advanced SOM visualization” Proc. 11th Int’l Conf. on Discovery Science, DS- 2008, Budapest, Hungary, 13 – 16 October, 2008. Lecture Notes in Computer Science, Volume 5255/2008, pp 272-283, Springer. 
  25. K Taşdemir, “Exploring topology preservation of SOMs with a graph based visualization”, Proc. The 9th International Conference on Intelligent Data Engineering and Automated Learning, November 2-5, 2008, KAIST, Daejeon, Korea (South), 2008. Lecture Notes in Computer Science, Volume 5326/2008, pp. 180-187, Springer. 
  26. E. Merényi, K. Taşdemir, and W.H. Farrand, “Intelligent Information Extraction to Aid Science Decision Making in Autonomous Space Exploration”, Proc. of DSS08 SPIE Defense and Security Symposium, Space Exploration Technologies (Ed. W. Fink), Vol. 6960, 69600M, March 17 – 18, 2008, Orlando, FL. (Invited). 
  27. E. Merényi, B. Csathó, and K. Taşdemir, “Knowledge discovery in urban environments from fused multi-dimensional imagery”, Proc. 4th IEEE GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (URBAN 2007), P. Gamba and M. Crawford, Eds., Paris, France, 11-13 April 2007, IEEE Catalog number 07EX1577/ 
  28. E Merényi, L. Zhang, and K. Taşdemir, “Min(d)ing the small details: discovery of critical knowledge through precision manifold learning and application to on-board decision support.,”, Proc. IEEE Intl Conference on Systems of Systems Engineering (IEEE SoSE), San Antonio, TX, April 16–18, 2007. 
  29. K. Taşdemir and E. Merényi, “A new cluster validity index for prototype based clustering algorithms based on inter- and intra-cluster density”, Proc. International Joint Conference on Neural Networks (IJCNN 2007), Orlando, Florida, USA, August 12-17, 2007, IEEE Catalog number 07CH37922C. 
  30. K Taşdemir and E. Merényi, “Data topology visualization for the Self-Organizing Maps”, Proc. of 14th European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, D-Facto, April 26-28, 2006, 277-282. 
  31. K. Taşdemir and E.Merényi, “Considering topology in clustering of the Self-Organizing Maps”, Proc. 5th Workshop on Self-Organizing Maps (WSOM05), Paris, France, September 5-8, 2005, pp. 439–446.
  32. A. Çapar, K. Taşdemir, Ö.Kılıç, M. Gökmen, “A Turkish handprint character recognition system”, ISCIS 2003. Lecture Notes in Computer Science, vol 2869. Springer, Berlin, Heidelberg, 447-456. 
CONFERENCE PROCEEDINGS (in Turkish)
  1. A. Güneş, A. S. Bilgi, G. Ortaç, H. Kalkan and K. Taşdemir (2016), “Active learning method for classifying the mold contaminated figs”,  IEEE Signal Processing and Communications Applications (SIU), 1169-1172.
  2. B. Yalçın, Y. Moazzen, K. Taşdemir (2015), "Yaklaşık spektral öbekleme birleşimiyle fındık arazilerinin bulunması", 2nd Workshop on Remote Sensing Signal and Image Processing, IEEE Signal Processing and Commun. Applications Conference (SIU), 18-21 Mayıs 2015, Malatya, 2015.
  3. A. S. Bilgi, E. Durmuş, H. Kalkan, G. Ortaç, K. Taşdemir (2015), "Hiperspektral görüntü analizi ile bozulmuş incirlerin otomatik olarak tespiti", IEEE SIU, 18-21 Mayıs 2015, Malatya.
  4. B. Yalçın, K. Taşdemir (2014), “Büyük veri kümelerinin yaklaşık spectral öbeklemesi için k-ortalama++ nicemleme yönteminin kullanılması”, IEEE SIU, 23-25 Nisan 2014, Trabzon.
  5. Y. Moazzen, K. Taşdemir (2014), “Uzaktan algı görüntülerinin yaklaşık spektral öbeklenmesinde jeodezik bazlı hibrit benzerlik ölçütleri”, IEEE SIU, 23-25 Nisan 2014, Trabzon.
  6. K. Taşdemir (2013), “Uzaktan Algı Görüntülerini Öbeklemek İçin Yerel Yoğunluk Bazlı Benzerlik Kriteri (Local Density Based Similarity Criterion for Clustering of Remote-Sensing Images, in Turkish)”, IEEE SIU.
  7. S. Reis and K. Taşdemir (2010), “Findik alanlarinin kendini örgütleyen eşlemlerle (self organizing maps) belirlenmesi”, III. Uzaktan Algi ve Cografi Bilgi Sistemleri Sempozyumu, 11-13 October 2010, Gebze.
  8. K. Taşdemir (2009), “Büyük Veri Kümelerinin Topoloji Betimleyen Çizgeye Dayalı Otomatik Gruplandırması”, IEEE SIU, 9-11 April 2009, Antalya, 816-819.
  9. K. Taşdemir and M. Gökmen (2003), “Kaynaşım Yöntemleri ve Karakter Tanıma Üzerine Uygulanması”, 11. Sinyal İşlemeleri ve Uygulamaları Konferansı (SIU’2003), 223-227.
  10. A. Çapar, M. S. Beratoglu, K. Taşdemir, Ö. Kılıç and M. Gökmen (2003), “İTÜ Araç Plaka Tanıma Sistemi”, 11. Sinyal İşlemeleri ve Uygulamaları Konferansı (SIU’2003), 371-375.
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