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Alçin, Ö.F., Budak, Ü., Aslan, M., Akbulut, Y., Cömert, Z., Akpınar, M.H., Şengür, A., , Modelling and Analysis of Active Biopotential Signals in Healthcare, IOP Publishing, 2020, , 978-0-7503-3277-4.
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Cömert, Z., Akbulut, Y., Akpınar, M.H., Alçin, Ö.F., Budak, Ü., Aslan, M., Şengür, A., , Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume 1, IOP Publishing, 2020, 26, 978-0-7503-3277-4.
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Başaran, E., Cömert, Z., Çelik, Y., Budak, Ü., Şengür, A., , Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume 2, IOP Publishing, 2020, , 978-0-7503-3411-2.
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Şengür, A., Cömert, Z., Akbulut, Y., Alçin, Ö.F., Budak, Ü., Akpınar, M.H., Aslan, M., , Modelling and Analysis of Active Biopotential Signals in Healthcare,, IOP Publishing, 2020, , 978-0-7503-3277-4.
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Şengür, A., Bajaj, V., Karabatak, M., Tanyıldızı, E., , NEUTROSOPHIC SET IN MEDICAL IMAGE ANALYSIS, Elsevier Academic Press, 2019, 370, 9780128181485.
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Şengür, A., Budak, Ü., Akbulut, Y., Karabatak, M., Tanyıldızı, E., , Neutrosophic Set in Medical Image Analysis, Elseiver Academic Press, 2019, 352, 9780128181485.
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Şengür, A., Budak, Ü., Akbulut, Y., Karabatak, M., Tanyıldızı, E., , Neutrosophic Set in Medical Image Analysis, Elsevier Academic Press, 2019, 370, 9780128181485.
- Budak, Ü., Alçin, Ö.F., Aslan, M., Şengür, A., (2018). Daha Hızlı Bölgesel Evrişimsel Sinir Ağları ile Retinal İmgelerde Optik Diskin Belirlenmesi. International Engineering and Technology Symposium (IETS18), (),-.
- Şengür, A., Ekici, S., Akbulut, Y., Alçin, Ö.F., Kavas, T., (2017). Speech based Gender Classification with 1D Local Binary Patterns. International Conference on Advances and Innovations in Engineering (ICAIE17), (),214-217.
- Ertam, F., Kılınçer, İ.F., Yaman, O., Şengür, A., (2020). A New IoT Application for Dynamic WiFi based Wireless Sensor Network. 2020 International Conference on Electrical Engineering (ICEE), (),-.
- Başaran, E., Cömert, Z., Şengür, A., Budak, Ü., Çelik, Y., Toğaçar, M., (2019). Chronic Tympanic Membrane Diagnosis based on Deep Convolutional Neural Network. 2019 4th International Conference on Computer Science and Engineering (UBMK), (),-.
- Budak, Ü., Şengür, A., Dabak, A.B., Çıbuk, M., (2019). Transfer Learning Based Object Detection and Effect of Majority Voting on Classification Performance. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
- Şengür, A., Akılotu, B.N., Arslan, T.S., Kadiroğlu, z., Yavuzkılıç, S., Budak, Ü., Deniz, E., (2018). Optic disc determination in retinal images with deep features. 2018 26th Signal Processing and Communications Applications Conference (SIU), (),-.
- Arı, B., Arı, A., Şengür, A., Arslan, T.S., (2019). Classification of Apricot Leaves with ExtremeLearning Machines Using Deep Features. 1th InternationalInformatics and SoftwareEngineering Conference, (),406-410.
- Pareta, A., Taran, S., Bajaj, V., Şengür, A., (2019). Automatic Environment Sounds Classification Using Optimum Allocation Sampling. 2019 4th International Conference on Robotics and Automation Engineering, (),-.
- Arı, B., Arı, A., Şengür, A., Arslan, T.S., (2019). Derin Öznitelikler Kullanılarak Aşırı Öğrenme Makineleri ile Kayısı Yapraklarının Sınıflandırılması. Uluslararası Bilişim ve Yazılım Mühendisliği Konferansı, (),406-410.
- Gülbaş, B., Şengür, A., Incel, E., Akbulut, Y., (2019). Deep Features and Extreme Learning Machines based Apparel Classification. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
- Şengür, A., Akbulut, Y., Budak, Ü., Cömert, Z., (2019). White Blood Cell Classification Based on Shape and Deep Features. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
- Budak, Ü., Şengür, A., Dabak, A.B., Çıbuk, M., (2019). Transfer Learning Based Object Detection and Effect of Majority Voting on Classification Performance. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
- Başaran, E., Şengür, A., Cömert, Z., Budak, Ü., Çelik, Y., Velappan, S., (2019). Normal and Acute Tympanic Membrane Diagnosis based on Gray Level Co-Occurrence Matrix and Artificial Neural Networks. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
- Alzebari, A., Şengür, A., (2019). Performance Comparison of Machine Learning Techniques on Diabetes Disease Detection. 1st International Informatics and Software Engineering Conference (Iisec-2019), (),-.
- Yaseen, N.O., Alali, S.G.S., Şengür, A., (2019). An Efficient Model for Automatic Number Plate Detection using HOG Feature from New North Iraq Vehicle Images Dataset. 1st International Informatics and Software Engineering Conference (Iisec-2019), (),-.
- Akılotu, B.N., Kadiroğlu, Z., Şengür, A., Kayaoğlu, M., (2019). Evrişimsel Sinir Ağları ve Transfer Öğrenme Yöntemi Kullanılarak Sıtma Tespiti. 2019 Uluslararası Bilim ve Mühendislik Sempozyumu, (),456-465.
- Kadiroğlu, Z., Akılotu, B.N., Şengür, A., Kayaoğlu, M., (2019). Derin Öznitelikler ve Renk Kullanılarak Dermoskopik Görüntülerin Sınıflandırılması. 2019 Uluslararası Bilim ve Mühendislik Sempozyumu, (),306-315.
- Şengür, A., Akhtar, Z., Akbulut, Y., Ekici, S., Budak, Ü., (2018). Deep Feature Extraction for Face Liveness Detection. 2018 International Conference on Artificial Intelligence and Data Processing (IDAP), (),-.
- Budak, Ü., Şengür, A., Guo, Y., Akbulut, Y., Vespa, L.J., (2017). A novel approach based on image processing algorithms for microaneurysm candidate detection. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
- Şengür, A., Guo, Y., Budak, Ü., Vespa, L.J., (2017). A retinal vessel detection approach using convolution neural network. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
- Budak, Ü., Akbulut, Y., Şengür, A., (2018). DİYABETİK RETİNOPATİ TESPİTİ İÇİN GRAFİKSEL KULLANICI ARAYÜZÜ TABANLI SANAL ANJİYOGRAFİ SİSTEMİ. International Engineering and Natural Sciences Conference (IENSC 2018), (),1584-1591.
- Akbulut, Y., Şengür, A., Budak, Ü., Ekici, S., (2017). Deep learning based face liveness detection in videos. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
- Şengür, A., Emre, İ., Genç, H., Şahin, A., (2017). Gel Electrophoresis Analysis with 2-D Hermite Transform and Line Segment Detector. IATS 17, (),-.
- Şengür, A., Budak, Ü., Akbulut, Y., (2018). CLASSIFICATION OF AMYOTROPHIC LATERAL SCLEROSIS AND HEALTHYELECTROMYOGRAPHY SIGNALS BASED ON TRANSFER LEARNING. International Engineering and Natural Sciences Conference (IENSC 2018), (),-.
- Kadiroğlu, Z., Şengür, A., Deniz, E., (2018). DÜŞÜK SEVİYELİ DOKU ÖZNİTELİKLERİ İLE HİSTOPATOLOJİK MEME KANSERİ GÖRÜNTÜLERİNİN SINIFLANDIRILMA. International Engineering and Natural Sciences Conference (IENSC2018), (),-.
- Yavuzkılıç, S., Aslan, M., Şengür, A., (2018). A Matlab Tool for Morris Water Maze Test Implementation. Conference: International Conference on Artifical Intelligence and Data Processing( IDAP2018), (),-.
- Demir, F., Şengür, A., Cummins, N., Amiriparian, S., Schuller, B., (2018). Low Level Texture Features for Snore Sound Discrimination. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), (),-.
- Sertolli, B., Cummins, N., Şengür, A., Schuller, B., (2018). Deep End-to-End Representation Learning for Food Type Recognition from Speech. Proceedings of the 2018 on International Conference on Multimodal Interaction - ICMI ’xx18, (),-.
- Dişli, F., Gedikpınar, M., Şengür, A., (2018). Fotovoltaik Panellerin Kirliliğinin Görüntü İşleme ile Belirlenmesi. International Conference on Artificial Intelligence and Data Processing (IDAP 2018), (),-.
- Demir, F., Şengür, A., Lu, h., Amiriparian, S., Cummins, N., Schuller, B., (2018). COMPACT BILINEAR DEEP FEATURES FOR ENVIRONMENTAL SOUND RECOGNITION. International Conference on Artificial Intelligence and Data Processing (IDAP 2018), (),-.
- Ekici, S., Ünal, F., Akbulut, Y., Şengür, A., (2018). Electricity Consumption Analysis with Matlab Tall Arrays. 1st INTERNATIONALENGINEERING ANDTECHNOLOGY SYMPOSIUM, (),7-11.
- Demir, F., Şengür, A., Çavaş, M., (2018). Derin Öznitelikler ve Destek Vektör Makineleri ile Kalp Seslerinin Sınıflandırılması. IDAP’xx18, (),-.
- Omar, A., Mashhood, A., Karabatak, M., Şengür, A., (2018). A comparative analysis of common YouTube comment spam filtering techniques. 2018 6th International Symposium on Digital Forensic and Security (ISDFS), (),-.
- Şengür, A., Akılotu, B.N., Arslan, T.S., Kadiroğlu, Z., Yavuzkılıç, S., Budak, Ü., Deniz, E., (2018). Optic disc determination in retinal images with deep features. 2018 26th Signal Processing and Communications Applications Conference (SIU), (),1-4.
- Kadiroğlu, Z., Şengür, A., Deniz, E., (2018). Classification of Histopathological Breast Cancer Images with Low Level Texture Features. International Engineering and Natural Sciences Conference (IENSC 2018), (),1765-1772.
- Şengür, A., Gedikpınar, M., Akbulut, Y., Deniz, E., Bajaj, V., (2017). DeepEMGNet: An Application for Efficient Discrimination of ALS and Normal EMG Signals. Mechatronics 2017: International Conference Mechatronics, (),619-625.
- Şengür, A., Ekici, S., Akbulut, Y., Kavas, T., (2017). TIME FREQUENCY GRAY LEVEL CO-OCCURRENCE MATRIX DESCRIPTORS FOR DECEPTION DETECTION. International Conference on AdvancedTechnology Sciences ICAT 17, (),665-668.
- Ekici, S., Kavas, T., Akbulut, Y., Şengür, A., (2017). Deception Detection From Speech Signals. International Conference on Advances and Innovations in Engineering (ICAIE), (),1016-1021.
- Yavuzkılıç, S., Şengür, A., Çambay, Z., Emre, İ., (2017). Video Analysis of Morris Water Maze Experiments. 8. Uluslararası İleri Teknolojiler Sempozyumu, (),-.
- Ismael, A., Şengür, A., Akbulut, Y., (2017). LOCAL RECEPTIVE FIELDS BASED EXTREME LEARNING MACHINE FOR FACE RECOGNITION. IATS 2017, (),-.
- Ekici, S., Akbulut, Y., Şengür, A., (2017). AUTOMATIC GENDER IDENTIFICATION FROM SPEECH SIGNALS. IATS 2017, (),-.
- Akbulut, Y., Şengür, A., (2016). Texture Segmentation Based on Gabor Filters and Neutrosophic Graph Cut. International Conference on Advanced Technology & Sciences (ICAT’16), (),336-339.
- Şengür, A., (2016). FEATURE TRANSFORMATION OVER RBF NETWORK FORIMPROVING THE PERFORMANCE OF K MEANS CLUSTERING ALGORITHM. Proceedings of The IRES International Conference, Shanghai, China, (),10-13.
- Arı, B., Şengür, A., Arı, A., Hanbay, D., (2016). Evrişimsel Sinir Ağları İle Yaprak Tanıma Tabanlı Kayısı Bitkisi Sınıflandırma. International Conference on Natural Science and Engineering (ICNASE’16), (),696-702.
- Akbulut, Y., Aslan, M., Şengür, A., Ince, M.C., (2016). Kinect Tabanlı İskelet Verileri ile Düşme Tespiti. International Conference on Natural Science and Engineering (ICNASE’16), (),131-139.
- Budak, Ü., Şengür, A., Halıcı, U., (2016). Uydu Görüntülerinden Aday Havaalanı Bölgelerin Tespiti. International Conference on Natural Science and Engineering (ICNASE’16), (),219-225.
- Şengür, A., (2016). Derin Aşırı Öğrenme Makinesi ile Yüz Tanıma. International Artificial Intelligence and Data Processing Symposium (IDAP'16), (),43-46.
- Atila, O., Şengür, A., (2016). Classification of Digital Modulation Signals with Time Frequency Texture Features and Support Vector Machines. International Conference on Advanced Technology & Sciences (ICAT’16), (),638-642.
- Aslan, M., Şengür, A., Budak, Ü., (2016). Çoklu Yamalar ile Tek İmgeli Süper Çözünürlük. International Artificial Intelligence and Data Processing Symposium (IDAP'16), (),536-539.
- Arı, B., Şengür, A., Arı, A., (2016). Yerel Alıcı Alanlar Aşırı Öğrenme Makinesi ile Kayısı Yaprağı Tanıma. International Artificial Intelligence and Data Processing Symposium (IDAP'16), (),532-535.
- Akbulut, Y., Şengür, A., (2016). Hermite Dönüşümü Kullanarak Doku Bölütleme. International Artificial Intelligence and Data Processing Symposium (IDAP'16), (),342-346.
- Budak, Ü., Şengür, A., Aslan, M., (2016). Gri Seviye Eş oluşum Matris ve Yapay Sinir Ağı ile Uzaktan Algılama Görüntülerinde Havaalanı Tespiti. International Artificial Intelligence and Data Processing Symposium (IDAP'16), (),108-111.