Kitaplar

Şengür, A., Budak, Ü., Akbulut, Y., Karabatak, M., Tanyıldızı, E., , Neutrosophic Set in Medical Image Analysis, Elsevier Academic Press, 2019, 370, 9780128181485.

Şengür, A., Budak, Ü., Akbulut, Y., Karabatak, M., Tanyıldızı, E., , Neutrosophic Set in Medical Image Analysis, Elseiver Academic Press, 2019, 352, 9780128181485.

Makaleler

Uluslararası

Cömert, Z., Şengür, A., Akbulut, Y., Budak, Ü., Kocamaz, A.F., Güngör, S., (2019). A Simple and Effective Approach for Digitization of the CTG Signals from CTG Traces. IRBM, (),-.
Budak, Ü., Bajaj, V., Akbulut, Y., Şengür, A., Atila, O., (2019). An Effective Hybrid Model for EEG-Based Drowsiness Detection1. IEEE SENSORS JOURNAL, 19(17),7624-7631.
Chaudhary, S., Taran, S., Bajaj, V., Şengür, A., (2019). Convolutional Neural Network Based Approach Towards Motor Imagery Tasks EEG Signals Classification. IEEE SENSORS JOURNAL, 19(12),4494-4500.
Siuly, S., Bajaj, V., Şengür, A., Zhang, Y., (2019). An Advanced Analysis System for Identifying Alcoholic Brain State Through EEG Signals. International Journal of Automation and Computing, (),-.
Demir, F., Bajaj, V., Ince, M.C., Taran, S., Şengür, A., (2019). Surface EMG signals and deep transfer learning-based physical action classification. NEURAL COMPUTING APPLICATIONS, 31(12),8455-8462.
Budak, Ü., Cömert, Z., Rashid, Z.N., Şengür, A., Çıbuk, M., (2019). Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images. APPLIED SOFT COMPUTING, 85(null),-.
Çıbuk, M., Budak, Ü., Guo, Y., Ince, M.C., Şengür, A., (2019). Efficient deep features selections and classification for flower species recognition. MEASUREMENT, 137(null),7-13.
Türkoğlu, M., Hanbay, D., Şengür, A., (2019). Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests. Journal of Ambient Intelligence and Humanized Computing, (),-.
Güner, A., Alçin, Ö.F., Şengür, A., (2019). Automatic digital modulation classification using extreme learning machine with local binary pattern histogram features. MEASUREMENT, 145(),214-225.
Çıbuk, M., Budak, Ü., Guo, Y., Ince, M.C., Şengür, A., (2019). Efficient deep features selections and classification for flower species recognition. Measurement, 137(),7-13.
Cömert, Z., Şengür, A., Budak, Ü., Kocamaz, A.F., (2019). Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models. Health Information Science and Systems, 7(1),-.
Budak, Ü., Bajaj, V., Akbulut, Y., Atila, O., Şengür, A., (2019). An Effective Hybrid Model for EEG-Based Drowsiness Detection. IEEE Sensors Journal, 19(17),7624-7631.
Cömert, Z., Şengür, A., Akbulut, Y., Budak, Ü., Kocamaz, A.F., Güngör, S., (2019). A Simple and Effective Approach for Digitization of the CTG Signals from CTG Traces. IRBM, 40(5),286-296.
Cömert, Z., Şengür, A., Budak, Ü., Kocamaz, A.F., (2019). Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models. Health Information Science and Systems, 7(1),1-9.
Siuly, S., Alçin, Ö.F., Bajaj, V., Şengür, A., Zhang, Y., (2019). Exploring Hermite transformation in brain signal analysis for the detection of epileptic seizure. IET Science, Measurement Technology, 13(1),35-41.
Cömert, Z., Şengür, A., Akbulut, Y., Budak, Ü., Kocamaz, A.F., Bajaj, V., (2020). Efficient approach for digitization of the cardiotocography signals. Physica A: Statistical Mechanics and its Applications, 537(),122725-.
Demir, F., Şengür, A., Bajaj, V., Polat, K., (2019). Towards the classification of heart sounds based on convolutional deep neural network. HEALTH INFORMATION SCIENCE AND SYSTEMS, 7(1),-.
Ahmad, S., Agrawal, S., Joshi, S., Taran, S., Bajaj, V., Demir, F., Şengür, A., (2020). Environmental sound classification using optimum allocation sampling based empirical mode decomposition. Physica A: Statistical Mechanics and its Applications, 537(),122613-.
Demir, F., Bajaj, V., Ince, M.C., Taran, S., Şengür, A., (2019). Surface EMG signals and deep transfer learning-based physical action classification. NEURAL COMPUTING APPLICATIONS, 31(12),8455-8462.
Selimefendigil, F., Akbulut, Y., Şengür, A., Öztop, H.F., (2019). MHD conjugate natural convection in a porous cavity involving a curved conductive partition and estimations by using Long Short-Term Memory Networks. Journal of Thermal Analysis and Calorimetry, (),-.
Budak, Ü., Guo, Y., Tanyıldızı, E., Şengür, A., (2020). Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation. Medical Hypotheses, 134(),109431-.
Budak, Ü., Cömert, Z., Çıbuk, M., Şengür, A., (2020). DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images. Medical Hypotheses, 134(),109426-.
Guo, Y., Budak, Ü., Şengür, A., (2018). A novel retinal vessel detection approach based on multiple deep convolution neural networks. Computer Methods and Programs in Biomedicine, 167(),43-48.
Budak, Ü., Guo, Y., Şengür, A., Smarandache, F., (2017). Neutrosophic Hough Transform. Axioms, 6(4),35-.
Guo, Y., Budak, Ü., Vespa, L.J., Khorasani, E., Şengür, A., (2018). A retinal vessel detection approach using convolution neural network with reinforcement sample learning strategy. Measurement, 125(),586-591.
Budak, Ü., Şengür, A., Guo, Y., Akbulut, Y., (2017). A novel microaneurysms detection approach based on convolutional neural networks with reinforcement sample learning algorithm. Health Information Science and Systems, 5(1),-.
Guo, Y., Budak, Ü., Şengür, A., Smarandache, F., (2017). A Retinal Vessel Detection Approach Based on Shearlet Transform and Indeterminacy Filtering on Fundus Images. Symmetry, 9(10),235-.
Bajaj, V., Taran, S., Tanyıldızı, E., Şengür, A., (2019). Robust Approach Based on Convolutional Neural Networks for Identification of Focal EEG Signals. IEEE Sensors Letters, 3(5),1-4.
Cıbuk, M., Budak, Ü., Guo, Y., Ince, M.C., Şengür, A., (2019). Efficient deep features selections and classification for flower species recognition. Measurement, 137(),7-13.
Şengür, A., Budak, Ü., Akbulut, Y., (2018). CLASSIFICATION OF AMYOTROPHIC LATERAL SCLEROSIS AND HEALTHY ELECTROMYOGRAPHY SIGNALS BASED ON TRANSFER LEARNING. European Journal of Technic, 8(2),179-185.
Bajaj, V., Guo, Y., Şengür, A., Siuly, S., Alçin, Ö.F., (2017). A hybrid method based on time–frequency images for classification of alcohol and control EEG signals. Neural Computing and Applications, 28(12),3717-3723.
Akbulut, Y., Guo, Y., Şengür, A., Aslan, M., (2018). An effective color texture image segmentation algorithm based on hermite transform. Applied Soft Computing, 67(),494-504.
Akbulut, Y., Şengür, A., Guo, Y., Smarandache, F., (2017). NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier. Symmetry, 9(9),179-.
Akbulut, Y., Şengür, A., Guo, Y., Smarandache, F., (2017). A Novel Neutrosophic Weighted Extreme Learning Machine for Imbalanced Data Set. Symmetry, 9(8),142-.
Akbulut, Y., Şengür, A., Guo, Y., Smarandache, F., (2017). An Efficient Image Segmentation Algorithm Using Neutrosophic Graph Cut. Symmetry, 9(9),185-.
Taran, S., Bajaj, V., Sharma, D., Siuly, S., Şengür, A., (2018). Features based on analytic IMF for classifying motor imagery EEG signals in BCI applications. MEASUREMENT, 116(),68-76.
Deniz, E., Şengür, A., Kadiroğlu, z., Guo, Y., Bajaj, V., Budak, Ü., (2018). Transfer learning based histopathologic image classification for breast cancer detection. Health Information Science and Systems, 6(1),-.
Guo, Y., Şengür, A., Akbulut, Y., Shipley, A., (2018). An effective color image segmentation approach using neutrosophic adaptive mean shift clustering. MEASUREMENT, 119(),28-40.
Deniz, E., Şengür, A., Kadiroğlu, Z., Guo, Y., Varun, B., Budak, Ü., (2018). Transfer learning based histopathologic image classification for breast cancer detection. Health Information Science and Systems, 6(1),1-7.
Akbulut, Y., Guo, Y., Şengür, A., Aslan, M., (2018). An effective color texture image segmentation algorithm based on hermite transform. APPLIED SOFT COMPUTING, 67(),494-504.
Bajaj, V., Taran, S., Şengür, A., (2018). Emotion classification using flexible analytic wavelet transform for electroencephalogram signals. Health Information Science and Systems, 6(1),-.
Aslan, M., Akbulut, Y., Şengür, A., Ince, M.C., (2017). Eklem tabanlı etkili düşme tespiti. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 32(4),1025-1034.
Akagündüz, E., Aslan, M., Şengür, A., Wang, H., Ince, M.C., (2017). Silhouette Orientation Volumes for Efficient Fall Detection in Depth Videos. IEEE Journal of Biomedical and Health Informatics, 21(3),756-763.
Akbulut, Y., Şengür, A., Guo, Y., Polat, K., (2017). KNCM: Kernel Neutrosophic c-Means Clustering. Applied Soft Computing, 52(),714-724.
Şengür, A., Akbulut, Y., Guo, Y., Bajaj, V., (2017). Classification of amyotrophic lateral sclerosis disease based on convolutional neural network and reinforcement sample learning algorithm. Health Information Science and Systems, 5(1),-.
Aslan, m., Akbulut, Y., Şengür, A., Ince, M.C., (2017). Eklem Tabanlı Etkili Düşme Tespiti. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, (),-.
Akagündüz, E., Aslan, M., Şengür, A., Wang, H., Ince, M.C., (2017). Silhouette Orientation Volumes for Efficient Fall Detection in Depth Videos. IEEE Journal of Biomedical and Health Informatics, (),1-1.
Akbulut, Y., Şengür, A., Guo, Y., Smarandache, F., (2017). A Novel Neutrosophic Weighted Extreme Learning Machine for Imbalanced Data Set. SYMMETRY-BASEL, 9(8),-.
Akbulut, Y., Şengür, A., Guo, Y., Smarandache, F., (2017). NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier. Symmetry, 9(9),179-.
Guo, Y., Akbulut, Y., Şengür, A., Xia, R., Smarandache, F., (2017). An Efficient Image Segmentation Algorithm Using Neutrosophic Graph Cut. Symmetry, 9(9),185-.
Guo, Y., Polat, K., Rong, X., Şengür, A., (2017). A novel image segmentation approach based on neutrosophic c-means clustering and indeterminacy filtering. Neural Computing and Applications, 28(10),3009-3019.
Akbulut, Y., Şengür, A., Guo, Y., Polat, K., (2017). KNCM: Kernel Neutrosophic c-Means Clustering. Applied Soft Computing, 52(),714-724.
Şengür, A., Guo, Y., Akbulut, Y., (2016). Time frequency texture descriptors of EEG signals for efficient detection of epileptic seizure. Brain Informatics, 3(2),101-108.
Guo, y., Şengür, A., Tianc, J., (2016). A novel breast ultrasound image segmentation algorithm based on neutrosophic similarity score and level set. Computer Methods and Programs in Biomedicine, 123(),43-53.
Guo, Y., Rong, X., Şengür, A., Polat, K., (2017). A novel image segmentation approach based on neutrosophic c means clustering and indeterminacy filtering. Neural Computing and Applications, (),-.
Bajaj, V., Guo, Y., Şengür, A., Siuly, S., Alçin, Ö.F., (2017). A hybrid method based on time frequency images for classification of alcohol and control EEG signals. Neural Computing and Applications, (),1-7.
Budak, Ü., Halıcı, U., Şengür, A., Karabatak, M., Yang, X., (2016). Efficient Airport Detection Using Line Segment Detector and Fisher Vector Representation. IEEE Geoscience and Remote Sensing Letters, 13(8),1079-1083.
Alçin, Ö.F., Siuly, S., Bajaj, v., Guo, Y., Şengür, A., Zhang, Y., (2016). Multi category EEG signal classification developing time frequency texture features based Fisher Vector encoding method. Neurocomputing, 218(),251-258.
Esen, H., Inallı, M., Şengür, A., Esen, M., (2008). Artificial neural networks and adaptive neuro fuzzy assessments for ground coupled heat pump system. Energy and Buildings, 40(6),1074-1083.
Esen, H., Inallı, M., Şengür, A., Esen, M., (2008). Predicting performance of a ground source heat pump system using fuzzy weighted pre processing based ANFIS. Building and Environment, 43(12),2178-2187.
Şengür, A., Guo, Y., Üstündağ, M., Alçin, Ö.F., (2015). A Novel Edge Detection Algorithm Based on Texture Feature Coding. Journal of Intelligent Systems, 24(2),235-248.
Alçin, Ö.F., Şengür, A., Jiang, Q., Ince, M.C., (2015). OMP ELM Orthogonal Matching Pursuit Based Extreme Learning Machine for Regression. Journal of Intelligent Systems, 24(1),135-143.
Aslan, m., Şengür, A., Xiao, Y., Haibo, w., Ince, M.C., Xin, M., (2015). Shape feature encoding via Fisher Vector for efficient fall detection in depth videos. Applied Soft Computing, 37(),1023-1028.
Guo, y., Şengür, A., (2015). NECM Neutrosophic evidential c means clustering algorithm. Neural Computing and Applications, 26(3),561-571.
Şengür, A., Guo, y., (2011). Color texture image segmentation based on neutrosophic set and wavelet transformation. Computer Vision and Image Understanding, 115(8),1134-1144.
Şengür, A., (2008). Wavelet transform and adaptive neuro fuzzy inference system for color texture classification. Expert Systems with Applications, 34(3),2120-2128.
Şengür, A., (2009). Multiclass least squares support vector machines for analog modulation classification. Expert Systems with Applications, 36(3),6681-6685.
Daş, R., Türkoğlu, İ., Şengür, A., (2009). Effective diagnosis of heart disease through neural networks ensembles. Expert Systems with Applications, 36(4),7675-7680.
Esen, H., Inallı, M., Şengür, A., Esen, M., (2008). Forecasting of a ground coupled heat pump performance using neural networks with statistical data weighting pre processing. International Journal of Thermal Sciences, 47(4),431-441.
Esen, H., Inallı, M., Şengür, A., Esen, M., (2008). Modeling a ground coupled heat pump system by a support vector machine. RENEWABLE ENERGY, 33(8),1814-1823.
Guo, Y., Şengür, A., (2015). A novel 3D skeleton algorithm based on neutrosophic cost function. Applied Soft Computing, 36(11),210-217.
Guo, Y., Şengür, A., (2015). NCM Neutrosophic c means clustering algorithm. Pattern Recognition, 48(8),2710-2724.
Daş, R., Şengür, A., Türkoğlu, İ., (2009). Diagnosis of valvular heart disease through neural networks ensembles. Computer Methods and Programs in Biomedicine, 93(2),185-191.
Esen, H., Inallı, M., Şengür, A., Esen, M., (2008). Modelling a ground coupled heat pump system using adaptive neuro fuzzy inference systems. International Journal of Refrigeration, 31(1),65-74.
Alçin, Ö.F., Şengür, A., Ince, M.C., (2015). İLERİ GERİ TAKİP ALGORİTMASI TABANLI SEYREK AŞIRI ÖĞRENME MAKİNESİ. Journal of the Faculty of Engineering & Architecture of Gazi University, 30(1),111-117.
Esen, H., Inallı, M., Şengür, A., Esen, M., (2008). Performance prediction of a ground coupled heat pump system using artificial neural networks. EXPERT SYSTEMS WITH APPLICATIONS, 35(4),1940-1948.
Esen, H., Özgen, F., Esen, M., Şengür, A., (2009). Artificial neural network and wavelet neural network approaches for modelling of a solar air heater. EXPERT SYSTEMS WITH APPLICATIONS, 36(8),11240-11248.
Esen, H., Özgen, F., Esen, M., Şengür, A., (2009). Modelling of a new solar air heater through least squares support vector machines. EXPERT SYSTEMS WITH APPLICATIONS, 36(7),10673-10682.
Şengür, A., (2009). Prediction of protein cellular localization sites using a hybrid method based on artificial immune system and fuzzy k NN algorithm. Digital Signal Processing, 19(5),815-826.
Şengür, A., (2011). Investigation of complex modulus of base and EVA modified bitumen with Adaptive Network Based Fuzzy Inference System. Expert Systems with Applications, 38(1),969-974.
Şengür, A., (2011). Wavelet domain association rules for efficient texture classification. Applied Soft Computing, 11(1),32-38.
Şengür, A., (2013). Neural network modeling of SBS modified bitumen produced with different methods. Fuel, 106(),265-270.
Şengür, A., (2014). A novel image thresholding algorithm based on neutrosophic similarity score. Measurement, 58(),175-186.
Şengür, A., (2014). GA SELM Greedy algorithms for sparse extreme learning machine. Measurement, 55(),126-132.
Şengür, A., (2014). A novel image edge detection algorithm based on neutrosophic set. Computers & Electrical Engineering, 40(8),3-25.
Şengür, A., (2014). A novel image segmentation algorithm based on neutrosophic similarity clustering. Applied Soft Computing, 25(),391-398.

Ulusal

Şengür, A., Budak, Ü., Akbulut, Y., (2018). CLASSIFICATION OF AMYOTROPHIC LATERAL SCLEROSIS AND HEALTHY ELECTROMYOGRAPHY SIGNALS BASED ON TRANSFER LEARNING. European Journal of Technic, 8(2),179-185.

Bildiriler

Uluslararası

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, (),-.
Rashid, Z., Zeebaree, S.R., Şengür, A., (2019). Design and Analysis of Proposed Remote Controlling Distributed Parallel Computing System Over the Cloud. 2019 International Conference on Advanced Science and Engineering (ICOASE), (),-.
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., (2019). Food Image Classification with Deep Features. 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), (),-.
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), (),-.
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.
Demir, A., Atila, O., Şengür, A., (2019). Deep Learning and Audio Based Emotion Recognition. 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
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., Alçin, Ö.F., Şengür, A., (2018). Automatic Airport Detection with Line Segment Detector and Histogram of Oriented Gradients from Satellite Images. 2018 International Conference on Artificial Intelligence and Data Processing (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), (),-.
Budak, Ü., Şengür, A., Akbulut, Y., (2017). Localization of macular edema region from color retinal images for detection of diabetic retinopathy. 2017 International Artificial Intelligence and Data Processing Symposium (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., 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, (),-.
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), (),-.
Budak, Ü., Şengür, A., Halıcı, U., (2018). Deep convolutional neural networks for airport detection in remote sensing images. 2018 26th Signal Processing and Communications Applications Conference (SIU), (),-.
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.
Aslan, M., Şengür, A., (2017). Depth image super resolution via multi-hypothesis estimation. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
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.
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 (ICAIE), (),214-217.
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., Ekici, S., (2017). Gender recognition from face images with deep learning. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
Aslan, m., Şengür, A., (2017). Depth image super resolution via multi-hypothesis estimation. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), (),-.
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.

Ulusal

Yeloğlu, Z., Akbulut, Y., Budak, Ü., Şengür, A., (2015). Hand gesture recognition from kinect depth images. 2015 23nd Signal Processing and Communications Applications Conference (SIU), (),628-631.
Aslan, M., Alçin, Ö.F., Şengür, A., Ince, M.C., (2015). Fall detection with depth videos. 2015 23nd Signal Processing and Communications Applications Conference (SIU), (),443-446.
Alçin, Ö.F., Arı, A., Şengür, A., Ince, M.C., (2015). Iterative hard thresholding based Extreme Learning Machine. 2015 23nd Signal Processing and Communications Applications Conference (SIU), (),367-370.
Akbulut, Y., Şengür, A., (2015). Texture classification using scale invariant feature transform and Bag of Words. 2015 23nd Signal Processing and Communications Applications Conference (SIU), (),152-155.

Ödüller

Abdulkadir ŞENGÜR has been awarded for distinguished achievement in neutrosophics and has been conferred an honorary membership

Distinguished Achievement in Neutrosophics

Projeler

Yaprak Tanıma Tabanlı Kayısı Bitkisi Sınıflandırma, 11.03.2016-11.06.2017

Diyabetik Retinopati Tespiti için Görüntü işleme Temelli Sanal Anjiyografi Sistemi Tübitak 1512, 01.07.2016-01.01.2018

Cilt Analiz ve Tanımlama Sistemi, 15.04.2014-15.04.2015

Üyelikler

Fırat Teknokent, Baksense ar-ge Ltd. Şti.

Fırat Üniv. Fen Bilimleri Enstitüsü