• Stratoulias, Dimitris, and George Grekousis. ‘Information Extraction and Population Estimates of Settlements from Historic Corona Satellite Imagery in the 1960s’. Sensors 21, no. 7 (2021): 2423. https://doi.org/10.3390/s21072423.
  • Kabadayı, M. Erdem. ‘20. Yüzyılda Türkiye Ekonomisinde Mesleki Yapısal Dönüşüm’. In İktisat Tarihinin Dönüşü. Yeni Yaklaşımlar ve Tartışmalar, edited by Ulaş Karakoç and Alp Yücel Kaya, 163–96. Istanbul: İletişim Yayınları, 2021.
  • Kabadayı, M. Erdem, Piet Gerrits, Osman Özkan, and Turgay Koçak. ‘A Preliminary Attempt to Construct a Geospatial, Multimodal Ottoman Transport Network for 1899’. In Spatial Webs: Mapping Anatolian Pasts for Research and the Public, edited by Christopher. H. Roosevelt, 115–28. Koç University Research Center for Anatolian Civilizations (ANAMED). Istanbul: Koç University Press, 2021.
  • Sefer, Akın, Aysel Yıldız, and Mustafa Erdem Kabadayı. ‘Labor Migration from Kruševo: Mobility, Ottoman Transformation, and the Balkan Highlands in the 19th Century’. International Journal of Middle East Studies, 2021, 1–15. https://doi.org/10.1017/S0020743820000847.
  • Can, Y. S., and M. E. Kabadayı. ‘Developing an Automatic Layout Analysis System for Ottoman Population Registers’. In 2020 28th Signal Processing and Communications Applications Conference (SIU), 1–4, 2020. https://doi.org/10.1109/SIU49456.2020.9302464.
  • Can, Yekta Said, and M. Erdem Kabadayı. ‘CNN-Based Page Segmentation and Object Classification for Counting Population in Ottoman Archival Documentation’. Journal of Imaging 6, no. 5 (May 2020): 32. https://doi.org/10.3390/jimaging6050032.
  • Can, Yekta Said, and M. Erdem Kabadayı. ‘Automatic CNN-Based Arabic Numeral Spotting and Handwritten Digit Recognition by Using Deep Transfer Learning in Ottoman Population Registers’. Applied Sciences. Special Issue: Advances in Image Processing, Analysis and Recognition Technology 10, no. 16 (2020). https://doi.org/10.3390/app10165430.
  • Can, Yekta Said, and Mustafa Erdem Kabadayı. ‘Computerized Counting of Individuals in Ottoman Population Registers with Deep Learning’. In Document Analysis Systems, edited by Xiang Bai, Dimosthenis Karatzas, and Daniel Lopresti, 277–90. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-57058-3_20.
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  • Kabadayı, M. Erdem, Piet Gerrits, Osman Özkan, and Turgay Koçak. ‘1899 Yılı Osmanlı İmparatorluğu Için Jeomekansal ve Çok Modlu Bir Ulaşım Ağı Oluşturma Denemesi’. In Mekânsal Ağlar: Araştırma ve Kamu Erişimi İçin Anadolu’nun Geçmişinin Haritalandırılması, edited by Christopher. H. Roosevelt, 137–50. Istanbul: Anadolu Medeniyetleri Araştırma Merkezi, 2020.
  • Kabadayı, M. Erdem, and Murat Güvenç. ‘Ethno-Religious Division of Labour in Urban Economies of the Ottoman Empire in the Nineteenth Century’. In Working in Greece and Turkey: A Comparative Labour History from Empires to Nation States, 1840 – 1940, edited by Leda Papastefanaki and M. Erdem Kabadayı, 33:204–29. International Studies in Social History Edited by Marcel van Der Linden. New York, Oxford: Berghahn Books, 2020.
  • Kabadayı, M. Erdem, Piet Gerrits, and Grigor Boykov. ‘Bridging the Gap between Pre-Census and Census-Era Historical Data: Devising a Geo-Sampling Model to Analyse Agricultural Production in the Long Run for Southeast Europe, 1840–1897’. International Journal of Humanities and Art Computing. A Journal of Digital Humanities. Geospatial Humanities USGIS Special Issue 14, no. 1–2 (2020): 46–63. https://doi.org/10.3366/ijhac.2020.0244.
  • Ohanian, Daniel, Z. Mehmet Başkurt, and M. Erdem Kabadayı. ‘An Historical Geographic Information System for Ottoman Studies. The c. 1907 Ottoman Census and Armenian Settlement in Istanbul’. Turcica. Revue d’études Turques – Peuples, Langues, Cultures, États 51 (2020): 255–83. https://doi.org/10.2143/TURC.51.0.3288390.
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  • Stratoulias, Dimitris, and M. Erdem Kabadayı. ‘Feature and Information Extraction for Regions of Southeast Europe from Corona Satellite Images Acquired in 1968’. In Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), Vol. 11524. International Society for Optics and Photonics, 2020. https://doi.org/10.1117/12.2571209.
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