• Kabadayı, Mustafa Erdem, Paria Ettehadi Osgouei, and Elif Sertel. “Agricultural Land Abandonment in Bulgaria: A Long-Term Remote Sensing Perspective, 1950–1980.” Land, Special Issue Modeling Land Use Change Using Historical and Archaeological Datasets, 11, no. 10 (2022): 1855. https://doi.org/10.3390/land11101855.
  • Sertel, Elif, Burak Ekim, Paria Ettehadi Osgouei, and M. Erdem Kabadayi. “Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images.” Remote Sensing 14, no. 18 (2022): 4558. https://doi.org/10.3390/rs14184558.
  • Avcı, Cengiz, Elif Sertel, and Mustafa Erdem Kabadayı. “Deep Learning Based Road Extraction from Historical Maps.” IEEE Geoscience and Remote Sensing Letters, 2022. https://doi.org/10.1109/LGRS.2022.3204817.
  • Ettehadi Osgouei, Paria, Elif Sertel, and M. Erdem Kabadayı. “Integrated Usage of Historical Geospatial Data and Modern Satellite Images Reveal Long-Term Land Use/Cover Changes in Bursa/Turkey, 1858–2020.” Scientific Reports 12, no. 1 (May 31, 2022): 9077. https://doi.org/10.1038/s41598-022-11396-1.
  • Kabadayi, M Erdem, Piet Gerrits, and Grigor Boykov. “Geospatial Mapping of a 16th Century Transport Corridor for Southeast Europe.” Digital Scholarship in the Humanities, no. fqab084 (November 9, 2021). https://doi.org/10.1093/llc/fqab084.
  • Ustaoglu, Eda, and Mustafa Erdem Kabadayı. “Reconstruction of Residential Land Cover and Spatial Analysis of Population in Bursa Region (Turkey) in the Mid-Nineteenth Century.” Land 10, no. 10 (October 2021): 1077. https://doi.org/10.3390/land10101077.
  • Can, Yekta Said, and M. Erdem Kabadayı. “Automatic Estimation of Age Distributions from the First Ottoman Empire Population Register Series by Using Deep Learning.” Electronics 10, no. 18 (2021): 2253. https://doi.org/10.3390/electronics10182253.
  • Can, Yekta Said, and Mustafa Erdem Kabadayi. “Text Detection and Recognition by Using CNNs in the Austro-Hungarian Historical Military Mapping Survey.” In The 6th International Workshop on Historical Document Imaging and Processing, 25–30. HIP ’21. New York, NY, USA: Association for Computing Machinery, 2021. https://doi.org/10.1145/3476887.3476904.
  • Can, Yekta Said, and M. Erdem Kabadayı. “Line Segmentation of Individual Demographic Data from Arabic Handwritten Population Registers of Ottoman Empire.” In Document Analysis and Recognition – ICDAR 2021 Workshops, edited by Elisa H. Barney Smith and Umapada Pal, 312–21. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-86198-8_22.
  • Ma, Jilian, Akın Sefer, and M. Erdem Kabadayı. “Geolocating Ottoman Settlements: The Use of Historical Maps for Digital Humanities.” In Proceedings of the 8th International Symposium of the International Cartography Commission on the History of Cartography “Mapping the Ottoman Realm: Travelers, Cartographers and Archaeologists” 21–23 April 2020, Istanbul, Turkey (Rescheduled for December 2021, Florence, Italy), edited by Imre Josef Demhardt, 3. Göttingen: Copernicus Publications, 2021. https://doi.org/10.5194/ica-proc-3-10-2021.
  • Ekim, Burak, Elif Sertel, and M. E. Kabadayı. “Automatic Road Extraction from Historical Maps Using Deep Learning Techniques: A Regional Case Study of Turkey in a German World War II Map” ISPRS International Journal of Geo-Information 10, no. 8 (2021): 492, https://doi.org/10.3390/ijgi10080492.
  • Ustaoglu, Eda, M. Erdem Kabadayı, and Petrus Johannes Gerrits. ‘The Estimation of Non-Irrigated Crop Area and Production Using the Regression Analysis Approach: A Case Study of Bursa Region (Turkey) in the Mid-Nineteenth Century’, PLOS ONE 16, no. 4 (30 April 2021): e0251091, https://doi.org/10.1371/journal.pone.0251091.
  • Can, Yekta Said, Petrus Johannes Gerrits, and M. Erdem Kabadayi. ‘Automatic Detection of Road Types From the Third Military Mapping Survey of Austria-Hungary Historical Map Series With Deep Convolutional Neural Networks’, IEEE Access 9 (2021): 62847–56, https://doi.org/10.1109/ACCESS.2021.3074897.
  • 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.
  • Can, Yekta S., and M. Erdem Kabadayı. “Curation of Historical Arabic Handwritten Digit Datasets from Ottoman Population Registers: A Deep Transfer Learning Case Study.” In 2020 IEEE International Conference on Big Data (Big Data), 1853–60, 2020. https://doi.org/10.1109/BigData50022.2020.9378445.
  • Erünal, Efe. ‘Examining Age Structure and Estimating Mortality Rates in Ottoman Bursa Using Mid-Nineteenth-Century Population Registers’. Middle Eastern Studies, 30 November 2020.  https://doi.org/10.1080/00263206.2020.1844672.
  • 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.
  • Papastefanaki, Leda, and M. Erdem Kabadayı, eds. Working in Greece and Turkey: A Comparative Labour History from Empires to Nation States, 1840 – 1940. Berghahn Books. Vol. 33. International Studies in Social History Edited by Marcel van Der Linden. New York, Oxford: Berghahn Books, 2020.
  • 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.
  • Stratoulias, D., and M. E. Kabadayı. ‘Land Cover Feature Extraction from Corona Spy Satellite Images During the Cold WAR – 1968’. In IGARSS 2020 – 2020 IEEE International Geoscience and Remote Sensing Symposium, 6069–72, 2020. https://doi.org/10.1109/IGARSS39084.2020.9324485.
  • Çelik, Semih. ‘“Koyunun Olmadığı Yerde Keçiye Abdurrahman Çelebi Derler”: Ankara Eyaleti’nde Tiftik Keçisi Ekonomisinin Zaman-Uzamsal Analiz Denemesi (1889-1905).’ In Tarihi Dokumak: Bir Kentin Gizemi – Sof, edited by Filiz Yenişehirlioğlu and Gözde Çerçioğlu-Yücel, 95-107. Ankara: VEKAM, 2018.
  • Çelik, Semih. ‘“Sheep go to Heaven, (Angora) Goats go to Hell”: A Spatio-Temporal Analysis of Angora Goat Economy in the Province of Ankara (1889-1905).’ In Weaving the History: Mystery of a City – Sof, edited by Filiz Yenişehirlioğlu and Gözde Çerçioğlu-Yücel, 95-107. Ankara: VEKAM, 2018.
  • Kabadayi, M. Erdem. ‘Working for the State in the Urban Economies of Ankara, Bursa, and Salonica: From Empire to Nation State, 1840s–1940s’. International Review of Social History 61, no. S24 (2016): 213–41. https://doi.org/10.1017/s002085901600047x.