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Prof.Dr. FATOŞ TUNAY YARMAN VURAL (RETIRED)
FACULTY OF ENGINEERING
PublicationsResearchMembership & Awards
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Phone :  +90312210 5595
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Education

  Bachelor's, ITU, Electric-electronic. Eng.
  Master's, Bogazici, Electric-electronic. Eng.
  Doctorate, Princeton Univ., Computer Science

Publications (INTERNATIONAL)

Journal Papers

  A.1 F. Yarman, B. Dickinson, Autoregression Estimation Using Final Prediction Error. "IEEE Proceedings", 70, (1982), p.782-783.
  A.2 F. Yarman-Vural, An Efficient and Order Recursive Algorithm for Estimating Stationary ARMA Models. "IEEE Trans. ASSP", 33, (1985), p.1054-1058.
  A.3 F. Yarman-Vural, E. Ataman, Noise Histogram and Cluster Validity. "Journal of Pattern Recognition", 20, (1987), p.385-401.
  A.4 N. Yalabık, F. Yarman-Vural, A. Mansour, Modified condensed NN-Rule as Applied to Speaker Independent Word Recognition. "Journal of Speech Communication", 7, (1988), p.411-415.
  A.5 F. Yarman-Vural, Dennis Wawrzynski, E. Çetin, Generalized H-Lattice and Estimation of ARMA Models. "IEEE Trans. ASSP", 37, (1989), p.147-151.
  A.6 Fatoş Yarman-Vural, Enhancement of Speech in Additive, Locally Stationary and Colored Noise, Using Linear Prediction. "Journal of Signal Processing", 20, (1990), p.211-217.
  A.7 Alper Atici, Fatos T. Yarman-Vural, A Heuristic Method for Arabic Character Recognition. "Journal of Signal Processing", 62, (1997).
  A.8 Oztop, E., Mulayim, A., Atalay, V. and Yarman-Vural, F.T., Repulsive Attractive Network for Baseline Extrtaction. "Journal of Signal Processing", 75, (1999), p.1-10.
  A.9 Arıca, N. and Yarman-Vural, F.T., One Dimensional Representation of Two Dimensional Information for HMM Based Handwritten Recognition. "Journal of Pattern Recognition Letters", 21, (2000), p.583-592.
  A.10 Arıca, N. and Yarman-Vural, F.T., An Overview of Character Recognition Focused on Off-line Handwriting. "IEEE Transactions on Systems, Man, and Cybernetics", 31, (2001), p.216-233.
  A.11 Arıca, N. and Yarman-Vural, F.T., Optical Character Recognition for Cursive Handwriting. "IEEE Transactions on Pattern Analysis and Machine Intelligence", 24, (2002), p.801-814.
  A.12 Y.Xu, P.Duygulu, E.Saber, A.M. Tekalp, F.T. Yarman-Vural, Object-based image labeling througy learning by example and multi-level segmentation. "Pattern Recognition", 36, (2003), p.1407-1423.
  A.13 Nafiz Arıca, Fatos T. Yarman Vural, BAS: a perceptural shape descriptor based on the beam angle statistics. "Pattern Recognition Letters", 24, (2003), p.1627-1639.
  A.14 Abdurrahman Çarkacıoğlu, Fatoş Yarman-Vural, SASI: a generic texture descriptor for image retrieval. "Pattern Recognition", 36, (2003), p.2615-2633.
  A.15 Ömer Önder Tola, Nafiz Arıca, Fatoş Yarman-Vural, Shape Recognition with Generalized Beam Angle Statistics. "Lecture Notes on Computer Science", 2, (2004).
  A.16 Özge Can Özcanli, Fatoş Yarman-Vural, An Image Retrieval System Based on Region Classification. "Lecture Notes on Computer Science", 1, (2004).
  A.17 M. Uysal F.T. Yarman Vural, A Content-Based Fuzzy Image Database Based on The Fuzzy ARTMAP Architecture . "Turkish Journal of Electrical Engineering & Computer Sciences", 13, (2005), p.333-342.
  A.18 Senaras, C., Ozay, M., Yarman Vural, F.T., Building Detection With Decision Fusion. "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing", 6, (2013).
  A.19 Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent, Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. " IEEE Journal on Selected Areas in Communications", 31, (2013).
  A.20 Ozge Oztimur Karadag, Fatos T Yarman Vural, Image segmentation by fusion of low level and domain specific information via Markov Random Fields. "Pattern Recognition Letters", 46, (2014), p.75-82.
  A.21 Senaras, C., Yarman-Vural, F.T., A Self-Supervised Decision Fusion Framework for Building Detection. "IEEE Journal of STAR", (2015), p.2 - 14.
  A.22 Oztimur Karadag, O., Senaras, C., Yarman-Vural, F.T, Segmentation Fusion for Building Detection Using Domain-Specific Information. "IEEE Journal of STAR", 8, (2015), p.3305 - 3315.
  A.23 Ozay, M., Esnaola, I., Yarman-Vural, F.T., Kulkarni, S., Poor, H.V., Machine learning methods for attack detection in the smart grid. "IEEE Transactions on Neural Networks and Learning Systems", (2015), p.1 - 15.
  A.24 Orhan Firat, Kyunghyun Cho, Baskaran Sankaran, Fatos T Yarman Vural, Yoshua Beng, Multi-way, multilingual neural machine translation. "Computer Speech & Language,", (2016).
  A.25 Mete Ozay, Inaki Esnaola, Fatos Tunay Yarman Vural, Sanjeev R Kulkarni, H Vincen, Machine learning methods for attack detection in the smart grid. "IEEE Transactions on Neural Networks and Learning Systems", 27, (2016).
  A.26 M. Ozay , Fatos T. Yarman Vural, Hierarchical distance learning by stacking nearest neighbor classifiers. "Information Fusion", 29, (2016).
  A.27 Itir Onal, Mete Ozay, Eda Mizrak, Ilke Oztekin, Fatos T Yarman Vural, A new representation of fmri signal by a set of local meshes for brain decoding. "IEEE Transactions on Signal and Information Processing over Networks", (2017).
  A.28 Orhan Firat, Kyunghyun Cho, Baskaran Sankaran, Fatos T Yarman Vural, Yoshua Beng, Multi-way, multilingual neural machine translation. "Computer Speech and Language", (2017).
 

Conference Papers

  A.1 F. Yarman-Vural, The Generalized H-Lattice Filter and Estimation of the ARMA Models. "Info. Science and Systems Conf", (1986), p.323-329.
  A.2 N. Yalabık, Ashwak Mansour, F. Yarman-Vural, A New Approach For Template Selection for Speaker Independent Isolated Word Recognition. "Proc. of NATO-ASI", (1987).
  A.3 F. Yarman-Vural, B. Onaral, Enhanced Parametric Estimation of Electroencephalogram Under Acceleration Stress, Philadelphia. " Proc. IEEE Conf. on Engineering in Medicine", (1990).
  A.4 E.Öztop A. Mülayim, S. Gül, F. Yarman-Vural, A. Atalay, A New Method for Baseline Extraction on Document Images. "Proc. Int Conf on COMCON", (1995).
  A.5 A. Atıcı, F. T. Yarman Vural, Optical Character Recognition of Arabic Script. "Proc. VCIP-SPIE", 2, (1996), p.725-748.
  A.6 Çarkacıoğlu and F.T. Yarman-Vural,, Set of Texture Similarity Measures . "Electronic Imaging 97, Machine Vision Applications in Industrial Inspection, SPIE Proceedings", 3029, (1997), p.118-127.
  A.7 M.A. Özdil, F.T. Yarman,Vural, Optical Character Recognition Without Segmentation. "Proc. IAPR Int. Conf. on Document Analysis and Recognition", 2, (1997), p.483-487.
  A.8 E. Oztop, A. Mulayim, V. Atalay, F.T. Yarman-Vural, Baseline Extraction on Document Images by Repulsive Atractive Network. "Proc. IEEE-Int. Conf. on Acous. Speech and Signal Proces", (1997).
  A.9 A. Çarkacıoğlu and F.T. Yarman-Vural, A Set of Similarity Measures for Binary and Gray Level Markov Random Fields Textures. "IAPR - ICIAP Lecture Notes on Computer Science", 1310, (1997), p.127-134.
  A.10 M.A. Ozdil, Fatoş Yarman Vural, Nafiz Arica, Optical Character Recognition Without Segmentation. "Lecture Notes on Computer Science", 1311, (1997), p.609-615.
  A.11 Arıca, N. and Yarman-Vural, F.T., A New Scheme for Off-line Handwritten Connected Digit Recognition. "International Conference on Pattern Recognition", (1998).
  A.12 Arıca, N. and Yarman-Vural, F.T., One Dimensional Representation of Two Dimensional Information for HMM Based Handwritten Recognition. "IEEE-Image Processing", 3, (1998), p.986-991.
  A.13 Uysal M. and Yarman-Vural, F.T., A Fast Color Quantization Algorithm Using One Dimensional Color Intervals. "IEEE Int. Conference on Image Processing", 3, (1998), p.1082-1087.
  A.14 Arıca, N. and Yarman-Vural, F.T., Off-Line Hanwritten Connected Character Recognition. "International Conference on Intelligent Processing Systems", 2, (1998), p.562-567.
  A.15 Arıca, N. and Yarman-Vural, F.T., A New HMM Topology for Shape Recognition. "IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing", 1, (1999), p.162-168.
  A.16 Genc, S. and Yarman-Vural, F.T., Morphing for Motion Estimation. "International Conference on Image Processing Systems and Technologies and Information Systems", 1, (1999).
  A.17 Dicle, N. and Yarman-Vural, F.T., NES: a File Format for Content Based Coding of Images. "ISCIS 15", (2000).
  A.18 Arıca , N. and Yarman-Vural, F.T., A Shape Descriptor Based on Circular Hidden Markov Model. "ICPR- International Conference on Pattern Recognition' 2000", (2000).
  A.19 Duygulu, P., Saber, E., Tekalp, M. and Yarman-Vural, F.T., Multi-Level Image Segmentation for Content Based Image Representation. "IEEE-ICASP", (2000).
  A.20 Arıca, N. and Yarman-Vural, F.T., A Perceptual Shape Descriptor. "International Conference on Pattern Recognition ICPR", (2002).
  A.21 M.Uysal, F.T. Yarman-Vural, Selection of The Best Representative Feature and Membership Assignment For Content-Based Fuzzy Image Database. "International Conference on Image and Vidor Retrieval (CIVR)", (2003).
  A.22 Nafiz Arıca, Fatoş T. Yarman-Vural, A Compact Shape Descriptor Based on the Beam Angle Statistics. "International Conference on Image and Vidor Retrieval (CIVR)", (2003).
  A.23 M. Uysal, F. Yarman-Vural, A Content Based Image Retrieval System Based On The Fuzzy ARTMAP Architecture. "ACM Multimedia", (2004).
  A.24 N. Arica, F.T. Yarman Vural, Shape Similarity Measurement for Boundary Based Features. " Lecture Notes in Computer Science 2005, ISBN 3-540-29069-9", 3656, (2005), p.431-438.
  A.25 M. Uysal, F.T. Yarman Vural, ORF-NT: An Object-Based Image Retrieval Framework Using Neighborhood Trees. "Lecture Notes in Computer Science 37332005, ISBN 3-540-29414-7 SCIS2005", (2005), p.595-605.
  A.26 Uysal, M., Akbas, E., Yarman-Vural, F.T., A Hierarchical Classification System Based on Adaptive Resonance Theory,. "ICIP06", (2006), p.2913-2916.
  A.27 Emre Akbaş, Fatoş T. Yarman Vural, Design of Feature Set for Face Recognition Problem. "Lecture Notes in Computer Science, ISCIS2006", (2006), p.239-247.
  A.28 E. Akbaş, F.T. Yarman-Vural, Automatic Image Annotation by Ensemble of Visual Descriptors. "CVPR", (2007), p.1-8.
  A.29 İ. Yalabık, F.T. Yarman-Vural, G. Ucoluk, O.T. Sehitoglu, Pattern Classification Approach for Boosting with Genetic Algorithms. "ISCIS 2007", (2007), p.1-6.
  A.30 Mete Ozay, Fatos T. Yarman Vural, A Theoretical Analysis of Feature Fusion in Stacked Generalization. "IEEE Signal Processing, Communication and Applications", (2009).
  A.31 Mete Ozay, Okan Akalin, Fatos T. Yarman Vural, Ensemble Learning For Multi Sensor Data Fusion With Applications On Human Motion Detection And Analysis. "ISCIS", (2009).
  A.32 Mete Ozay, Fatos T. Yarman Vural, Linear Separability Analysis for Stacked Generalization Architecture. "IEEE Signal Processing, Communication and Applications", (2009).
  A.33 Özge Öztimur Karadağ, Fatoş T. Yarman Vural, HANOLISTIC: A Hierarchical Automatic Image Annotation System Using Holistic Approach. "2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops", (2009), p.cvprw, pp.16-21.
  A.34 Mete Özay, Fatos T. Yarman Vural, A new decision fusion technique for image classification. "International Conference on Image Processing , ICIP", (2009).
  A.35 Erşan Demircioğlu, Fatoş T. Yarman Vural, A Refinement Method for Automatic Image Annotation Systems. "IEEE International Conference on Image Processing", (2012), p.4.
  A.36 Çağlar Şenaras, Barış Yüksel, Mete Özay, Fatoş Yarman Vural,, AUTOMATIC BUILDING DETECTION WITH FEATURE SPACE FUSION USING ENSEMBLE LEARNING. "IEEE International Geoscience and Remote Sensing Symposium", (2012).
  A.37 O. Ekmekci, O. Firat, M. Ozay, I. Oztekin, F. T. Yarman Vural, U. Oztekin, Mesh Learning for Object Classification using fMRI Measurements. "12th IEEE International Conference on Image Processing (ICIP)", (2013), p.4.
  A.38 O. Firat, M. Ozay, I. Onal, I. Oztekin, F. T. Yarman Vural, Functional Mesh Learning for Pattern Analysis of Cognitive Processes. "12th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC)", (2013), p.8.
  A.39 O. Firat, M. Ozay, I. Onal, I. Oztekin, F. T. Yarman Vural, Representation of Cognitive Processes Using the Minimum Spanning Tree of Local Meshes. "35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)", (2013), p.4.
  A.40 I. Onal, M. Ozay, O. Firat, I. Oztekin, F. T. Yarman Vural, An Information Theoretic Approach to Classify Cognitive States Using fMRI. "13th IEEE International Conference on BioInformatics and BioEngineering (BIBE)", (2013), p.4.
  A.41 I. Onal, M. Ozay, O. Firat, I. Oztekin, F. T. Yarman Vural, Analyzing the Information Distribution in the fMRI measurements by estimating the degree of locality. "35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)", (2013), p.4.
  A.42 Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor, Fusion of image segmentation algorithms using consensus clustering. "12th IEEE International Conference on Image Processing (ICIP)", (2013), p.4.
  A.43 Orhan Firat, Fatos T Yarman Vural, Discriminative Functional Connectivity Measures for Brain Decoding. "arXiv preprint arXiv:1402.5684", (2014).
  A.44 Itir Onal,Emre Aksan,Burak Velioglu,Orhan Firat,Mete Ozay,Ilke Oztekin,Fatos T Y, Modeling the Brain Connectivity for Pattern Analysis. "Pattern Recognition (ICPR), 2014 22nd International Conference on", (2014), p.3339-3344.
  A.45 Ozge Oztimur Karadag, Fatos T Yarman Vural, Fusion of Image Segmentations under Markov, Random Fields. "Pattern Recognition (ICPR), 2014 22nd International Conference on", (2014), p.930-935.
  A.46 Orhan Firat, Emre Aksan, Ilke Oztekin, Fatos T Yarman Vural, Learning Deep Temporal Representations for Brain Decoding. "arXiv preprint arXiv:1412.7522", (2014).
  A.47 Burak Velioglu,Emre Aksan, Itir Onal,Orhan Firat,Mete Ozay,Fatos T Yarman Vural, Functional networks of anatomic brain regions. "Cognitive Informatics & Cognitive Computing (ICCI* CC), 2014 IEEE 13th International Conference on", (2014), p.53-60.
  A.48 Orhan Firat, Gulcan Can, Fatos T Yarman Vural, Representation learning for contextual object and region detection in remote sensing. "Pattern Recognition (ICPR), 2014 22nd International Conference on", (2014), p.3708-3713.
  A.49 Orhan Firat,Itir Onal,Emre Aksan,Burak Velioglu,Ilke Ozteki, Fatos TYarman Vural, LARGE SCALE FUNCTIONAL CONNECTIVITY FOR BRAIN DECODING. "International Conference on Biomedical Engineering", 11, (2014).
  A.50 Ozge Oztimur Karadag, Caglar Senaras, Fatos T Yarman Vural, Segmentation and decision fusion for building detection. "Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International", (2014), p.1604-1607.
  A.51 B. Nasir Fatos T. Yarman Vural, CEREBRA: A 3-D visualization tool for brain network extracted from fMRI data. "IEEE- Engineering in Medicine and Biology Society (EMBC)", (2016).
  A.52 Baris Nasir Fatos Tunay Yarman Vural, Simplification and visualization of brain network extracted from fMRI data using CEREBRA. " Cognitive Informatics & Cognitive Computing (ICCI*CC), 2016 IEEE 15th International Conference on", (2016).
  A.53 A. Afrasiyabi I. Onal, Fatos T. Yarman Vural, A Sparse Temporal Mesh Model for brain decoding. "International Conference on Cognitive Informatics & Cognitive Computing", (2016).
  A.54 Arash Rahnama, Abdullah Alchihabi, Vijay Gupta, Panos Antsaklis, Fatos T. Yarman, Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning. "", (2017).
  A.55 Burak Velioglu, Fatos T Yarman Vural, Transfer learning for brain decoding using deep architectures. "IEEE 16th International Conference on Cognitive Informatics Cognitive Computing (ICCICC)", (2017).

Publications (NATIONAL)

 

Conference Papers

  A.1 F. Yarman-Vural, Utilizing the Information Systems Technology for Ottoman Archives. "COMLIS: III", (1989).
  A.2 F. Yarman-Vural, O. Şener, Texture Generation and Estimation Techniques Using Markov Random Fields Model. "ISCIS-V", (1990).
  A.3 F. Yarman- Vural, A. Atıcı, A Segmentation and Feature Extraction Algorithm for Ottoman Cursive Script. " Proc. The Third Turkish Symposium on Artificial Intelligence and Neural Networks", (1994).
  A.4 A. Atıcı, F.T. Yarman-Vural, Osmanlıca Dokümanlarda bir Ayrıştırma ve Öznitelik Çıkarımı Algoritması. "Sinyal İşleme Kurultayı", (1994).
  A.5 A. Şişman, F.T. Yarman-Vural, Ottoman Transcription System. "International Symposium on Computer and Information Systems", (1996).
  A.6 A. Çarkacıoğlu and F.T. Yarman-Vural, Texture Similarity Measures for Markov Random Fields Model. "International Symposium on Computer and Information Systems IX (ISCIS)", 1, (1996), s.63-72.
  A.7 Nafiz Arıca, Fatoş Yarman Vural, HMM Based Handwritten Recognition. "ISCIS", XII, (1997), s.260-266.
  A.8 M. A. Ozdil, F. T. Yarman-Vural, Ayristirmasiz bir Optik Karakter Tanima Sistemi. "5. SIU", (1997).
  A.9 N. Arica, F.T. Yarman-Vural, Insan Optik Sisteminle Benzetilerek Gelistirilen bir El Yazisi Optik Karakter Tanima Sistemi. "5. SIU", 2, (1997), s.810-816.
  A.10 Uysal, M. ve Yarman-Vural, F.T., Tek Boyutlu Renk Aralıkları ile Çalışan Hızlı Bir Renk İndirgeme Yöntemi. "Sinyal İşleme Kurultayı", 2, (1998), s.600-605.
  A.11 Arıca N. ve Yarman-Vural, F.T., Saklı Markov Modeli ile El Yazısı Tanımada İki Boyutlu Bilginin Tek Boyutlu Sunumu. "Sinyal İşleme Kurultayı", 1, (1998), s.81-86.
  A.12 Mutlu Uysal, Fatos T. Yarman-Vural, Tek Boyutlu Renk Aralıkları ile Çalışan Hızlı Bir Renk İndirgeme Yöntemi. "Sinyal İşleme ve Uygulamalari Kurultayı", 2, (1998), s.600-605.
  A.13 Yarman-Vural, F.T., Eğitimde Yeni Modeller ve İnternete Dayalı Asenkron Eğitim. "BTIE (Bilişim Teknolojileri Işığında Eğitim Konferansı)", (2000).
  A.14 Mut, O. and Yarman-Vural, F.T., Genetik Algoritma ile Görüntü Bölütleme. "SIU 2001-Sinyal İşleme ve Uygulamaları Kurultayı", (2001).
  A.15 Çarkacıoğlu, A. and Yarman-Vural, F.T., SASI: A New Texture Descriptor for Image Retrieval. "ICIP 2001-International Conference on Image Processing", (2001).
  A.16 Arıca, N. and Yarman-Vural, F.T., El Yazısı Tanıma Problemi için Bütünsel Parametre Kestirimi ve Bölütleme Algoritmaları. "SIU 2001-Sinyal İşleme ve Uygulamaları Kurultayı", (2001).
  A.17 Doğu, H., Kaynar, İ. and Yarman-Vural, F.T., Yüz Tanıma Probleminde Paremetrelerin Performansa Etkisi ve Tanıma Yüzdesini Artırıcı Öneriler. "10. SİU", 1, (2002), s.309-314.
  A.18 Yüksel, T. and Vural, F.T., Lempel-Ziv Algoritması ile Doku Bölütlemesi. "10. SİU", (2002).
  A.19 Arıca, N. and Yarman-Vural, F.T., Kerteriz Tabanlı Şekil Tanımlayıcısı. "10. SİU", 1, (2002), s.129-134.
  A.20 Özcanlı, Ö.C., Dağlar, S. and Yarman-Vural, F.T., Yerel Benzerlik Örüntüsü Yöntemi ile Görüntü Erişim Sistemi. "10. SİU", 1, (2002), s.141-146.
  A.21 Özge Can Özcanlı, Pınar Duygulu-Şahin, Fatoş T. Yarman-Vural, Açıklamalı Görüntü Veritabanları Kullanarak Nesne Tanıma ve Erişimi. "11.SIU, Sinyal İşleme ve İletişim Uygulamaları Kurultayı", (2003).
  A.22 Nafiz Arıca, Fatoş T. Yarman-Vural, Tıkız Şekil Betimleyicileri. "11.SIU, Sinyal İşleme ve İletişim Uygulamaları Kurultayı", (2003).
  A.23 Serkan Alkan, Fatoş T. Yarman Vural, Öğretim Üyesi Yetiştirme Programı. "Elektrik Elektronik, Bilgisayar Mühendislikleri Eğitimi I. Ulusal Sempozyumu", (2003).
  A.24 A. Çarkacıoğlu, F. T. Yarman Vural, Doku Benzerliğini Tesbit Etmek İçin Yeni Bir Tanımlayıcı. "11.SIU, Sinyal İşleme ve İletişim Uygulamaları Kurultayı", (2003).
  A.25 M. Uysal, F. T. Yarman Vural, en İyi Temsil Eden Öznitelik Kullanılarak İçeriğe Dayalı Endeksleme ve Bulanık Mantığa Dayalı Sorgulama Sistemi. "11.SIU, Sinyal İşleme ve İletişim Uygulamaları Kurultayı", (2003).
  A.26 Ömer Önder Tola, Nafiz Arıca, Fatos Tünay Yarman Vural, Genelleştirilmiş Kerteriz Açısı istatistikleri ile şekil Tanıma . "Sinyal İşleme ve İletişim Uygulamaları Kurultayı", 1, (2004).
  A.27 M. Uysal, Ö. Özcanlı, F. T. Vural-Yarman, Bulanık ARTMAP Mimarisini Kullanan İçerik Bazlı Bir İmge Sorgulama Sistemi A Content Based Image Retrieval System Based on the Fuzzy ARTMAP Architecture. "Sinyal Isleme ve İletisim Uygulamaları Kurultayı", (2004).
  A.28 O. Ozcanli, E. Akbas, F.T. Yarman Vural, Görüntü Erişiminde Bulanık ARTMAP Ve Adaboost Sınıflandırma Yöntemlerinin Performans Karşılaştırması. "IEEE 13. Sinyal İşleme ve İletişim Uygulamaları Kurultayı", (2005).
  A.29 Fatos T. Yarman Vural, E-Donusum Turkiye ve e-Guvenlik. "2. Polis Bilisim Sempozyumu", 1, (2005), s.9-22.
  A.30 F.T. Yarman Vural, Bilgi Teknolojisindeki Gelişmenin Yarattığı Uluslar Arası Yeni Güvenlik Ortamı. . "Gelişen Bilgi Teknolojisi İle Güvenlik Politikası ve Stratejiler Arasında Etkileşim Sempozyumu", (2005).
  A.31 Mete Ozay , Fatos T. Yarman Vural, Vektör Uzaylarında Öznitelik Ard Arda Ekleme Yönteminin Analizi. "SİU Sinyal İşlemeleri ve Uygulamaları", (2010).
  A.32 Gulşah Tumuklu Fatoş T. Yarman Vural, Görsel Dikkat Kullanarak Geliştirilen İçerik Tabanlı Bir Görüntü Erişim Sistemi. "SİU Sinyal İşleme ve Uygulamaları", (2010).
  A.33 Karadag, O. O., & Vural, F. T. Y., Semantic Segmentation with Markov Random Fields. "IEEE 20th Conference on Signal Processing and Communications Applications (SIU)", (2012), s.4.
  A.34 R. Aktaş, G. Can, & F. T. Yarman Vural, Edge Aware Segmentation in Satellite Imagery: A Case Study of Shoreline Detection. "IAPR Workshop on Pattern Recognition in Remote Sensing", (2012), s.4.
  A.35 Fırat, O., Özay, M., Önal, I., Öztekin, İ., & Yarman Vural, F. T., A Mesh Learning Approach for Brain Data Modeling. "IEEE 20th Conference on Signal Processing and Communications Applications (SIU)", (2012), s.4.
  A.36 Aktas, U. R., Can, G., & Vural, F. T. Y., A Robust Approach for Shoreline Detection in Satellite Imagery. "IEEE 20th Conference on Signal Processing and Communications Applications (SIU)", (2012), s.4.
  A.37 G. Can, O. Firat, & F. T. Yarman Vural, Conditional Random Fields for Land use/Land cover Classification and Complex Region Detection. "14th International Workshop on Structural and Syntactic Pattern Recognition", (2012), s.6.
  A.38 Fırat, O., Tursun, O. T., & Yarman Vural, F. T., Application of Context Invariants in Airport Region of Interest Detection for Multi-spectral Satellite Imagery. "IEEE 20th Conference on Signal Processing and Communications Applications (SIU)", (2012), s.4.
  A.39 G. Can, O. Firat, & F. T. Yarman Vural, Contextual Object Recognition with Conditional Random Fields. "IEEE 21th Conference on Signal Processing and Communications Applications (SIU)", (2013), s.4.
  A.40 R. Aktaş, O. Firat, & F. T. Yarman Vural, Dry Dock Detection in Satellite Imagery with Representation Learning. "IEEE 21th Conference on Signal Processing and Communications Applications (SIU)", (2013), s.4.
  A.41 O. Firat, M. Ozay, I. Onal, I. Oztekin, & F. T. Yarman Vural, Cognitive Process Representation Using Minimum Spanning Tree of Local Meshes. "IEEE 21th Conference on Signal Processing and Communications Applications (SIU)", (2013), s.4.
  A.42 I. Onal, M. Ozay, O. Firat, I. Oztekin, & F. T. Yarman Vural, Analyzing the Information Distribution in the fMRI measurements by Estimating the Degree of Locality. "IEEE 21th Conference on Signal Processing and Communications Applications (SIU)", (2013), s.4.
  A.43 Fırat, O., & Yarman Vural, F. T., Representation Learning with Convolutional Sparse Autoencoders for Remote Sensing. "IEEE 21th Conference on Signal Processing and Communications Applications (SIU)", (2013), s.4.
  A.44 Itir Onal,Emre Aksan,Burak Velioglu,Orhan Firat,Mete Ozay,Like Oztekin,FatosT.Y, Estimating brain connectivity for pattern analysis. "Signal Processing and Communications Applications Conference (SIU), 2014 22nd", (2014), s.1806-1809.
  A.45 Sarper Alkan, Fatos T Yarman-Vural, Localization of semantic category classification in fMRI images. "Signal Processing and Communications Applications Conference (SIU), 2014 22nd", (2014), s.2178-2181.
  A.46 Onal, I., Aksan, E., Fırat, O., Velioglu, B.,Ozay, M., Yarman-Vural, F.T., Bilişsel Durum Analizi İçin Beyin Ağı Modeli. "SIU 2015", (2015), s.1688 - 1692.
  A.47 Karadag, O., Akkus, M., Kalkan, S., Yarman-Vural F.T, An MRF framework for solving image segmentation and border ownership. "SIU 2015", (2015), s.839 - 842.
  A.48 Onal, I., Ozay, M., Yarman-Vural, F.T., Functional Mesh Model with Temporal Measurements for Brain Decoding. "EMBC 2015", (2015), s.2624-2628.
  A.49 Mogultay, H., Alkan, S., Yarman-Vural, F.T, Classification of fMRI data by using clustering. "SIU 2015", (2015), s.2381 - 2383.
  A.50 Fırat, O., Aksan, E., Oztekin, I., Yarman-Vural, F.T., Learning Deep Temporal Representations for fMRI Brain Decoding. "Machine Learning Meets Medical Imaging", (2015), s.25-34.
  A.51 Onal, I., Ozay, M., Yarman-Vural, F.T., Modeling Voxel Connectivity for Brain Decoding. "PRNI 2015", (2015), s.5 - 8.
  A.52 Alkan, S., YarmanVural, F.T.,, Ensembling brain regions for brain decoding. "EMBC 2015", (2015), s.2948 - 2951.
  A.53 Afrasiyabi, A., Yarman-Vural F.T, fMRG Verilerinde Temel Bileşenler Analizi ve Özyinemeli Boyut Eliminasyonu Kullanarak Boyut Küçültme. "SIU 2015", (2015), s.2438 - 2441.
  A.54 Arman Afrasiyabi, Itir Onal, Fatos T Yarman Vural, Fatos Tunay Yarman Vural Effect of voxel selection on temporal mesh model for brain decoding. "International Workshop on Machine Learning for Understanding the Brain", (2016).
  A.55 Ozan Yıldız, Fethiye Irmak Doğan, İlke Öztekin, Eda Mızrak, Fatoş T Yarman Vural, A robust normalization method for fMRI data for brain decoding. "International Workshop on Machine Learning for Understanding the Brain", (2016).
  A.56 Hazal Mogultay, Fatos Tunay Yarman Vural, Cognitive learner: An ensemble learning architecture for cognitive state classification. "", (2017).
  A.57 Arman Afrasiyabi, Baris Nasir, Ozan Yildiz, Fatos T Yarman Vural, A Enis Cetin, An energy efficient additive neural network. "", (2017).
 

Book and Chapter in a Book

  A.1 Yarman Vural, F.T., Bilgi Toplumuna Doğru, Bilişim Eğitimi. "Türkiye Bilişim Şurası", (2002), s.497-523.
  A.2 Yarman Vural, F.T., Bilgi Toplumuna Doğru,AR-GE ve Bilişim. "Türkiye Bilişim Şurası", (2002), s.523-538.
  A.3 Fatos T. Yarman Vural, BİLGİ TOPLUMUNA DOGRU. "Türkiye 2. Bilişim Şurasi", (2004), s.417-441.
  A.4 Yarman-Vural, F.T. and Erten, Y.M., Bilgisayar Sistemleri . "Akademi Yayıncılık", (2000), s.419.
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