Prof. Dr. FATOŞ TUNAY YARMAN VURAL

Yayın Ağı

Makaleler 16

1. L-VAE: variational auto-encoder with learnable beta for disentangled representation

MOĞULTAY ÖZCAN H., KALKAN S., YARMAN VURAL F. T.

Machine Vision and Applications , cilt.36, sa.5, 2025 (SCI-Expanded, Scopus)

2. A concept-aware explainability method for convolutional neural networks

Gurkan M. K., Arica N., YARMAN VURAL F. T.

Machine Vision and Applications , cilt.36, sa.2, 2025 (SCI-Expanded, Scopus)

3. Editorial: Machine learning methods for human brain imaging

YARMAN VURAL F. T., Newman S. D., Çukur T., Önal Ertugrul I.

Frontiers in Neuroinformatics , cilt.17, 2023 (SCI-Expanded, Scopus)

4. Just noticeable difference for machine perception and generation of regularized adversarial images with minimal perturbation

Akan A. K., AKBAŞ E., YARMAN VURAL F. T.

SIGNAL IMAGE AND VIDEO PROCESSING , cilt.16, sa.6, ss.1595-1606, 2022 (SCI-Expanded, Scopus)

5. Gender classification using mesh networks on multiresolution multitask fMRI data

Ertugrul I. O., Ozay M., YARMAN VURAL F. T.

BRAIN IMAGING AND BEHAVIOR , cilt.14, sa.2, ss.460-476, 2020 (SCI-Expanded, Scopus)

6. Encoding the local connectivity patterns of fMRI for cognitive task and state classification

Ertugrul I. O., Ozay M., YARMAN VURAL F. T.

BRAIN IMAGING AND BEHAVIOR , cilt.13, sa.4, ss.893-904, 2019 (SCI-Expanded, Scopus)

7. Hierarchical multi-resolution mesh networks for brain decoding

Ertugrul I. O., Ozay M., YARMAN VURAL F. T.

BRAIN IMAGING AND BEHAVIOR , cilt.12, sa.4, ss.1067-1083, 2018 (SCI-Expanded, Scopus)

8. A New Representation of fMRI Signal by a Set of Local Meshes for Brain Decoding

Onal I., Ozay M., Mizrak E., GİLLAM İ., YARMAN VURAL F. T.

IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS , cilt.3, sa.4, ss.683-694, 2017 (ESCI, Scopus)

9. Multi-way, multilingual neural machine translation

Firat O., Cho K., Sankaran B., YARMAN VURAL F. T., Bengio Y.

COMPUTER SPEECH AND LANGUAGE , cilt.45, ss.236-252, 2017 (SCI-Expanded, Scopus)

10. Machine Learning Methods for Attack Detection in the Smart Grid

Ozay M., Esnaola I., YARMAN VURAL F. T., Kulkarni S. R., Poor H. V.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS , cilt.27, sa.8, ss.1773-1786, 2016 (SCI-Expanded, Scopus)

11. A Self-Supervised Decision Fusion Framework for Building Detection

Senaras C., YARMAN VURAL F. T.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING , cilt.9, sa.5, ss.1780-1791, 2016 (SCI-Expanded, Scopus)

12. Hierarchical distance learning by stacking nearest neighbor classifiers

Ozay M., YARMAN VURAL F. T.

INFORMATION FUSION , cilt.29, ss.14-31, 2016 (SCI-Expanded, Scopus)

13. Segmentation Fusion for Building Detection Using Domain-Specific Information

Karadag O. O., Senaras C., YARMAN VURAL F. T.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING , cilt.8, sa.7, ss.3305-3315, 2015 (SCI-Expanded, Scopus)

14. Image segmentation by fusion of low level and domain specific information via Markov Random Fields

Karadag O. O., YARMAN VURAL F. T.

PATTERN RECOGNITION LETTERS , cilt.46, ss.75-82, 2014 (SCI-Expanded, Scopus)

15. Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models

Ozay M., Esnaola I., YARMAN VURAL F. T., Kulkarni S. R., Poor H. V.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS , cilt.31, sa.7, ss.1306-1318, 2013 (SCI-Expanded, Scopus)

16. Building Detection With Decision Fusion

Senaras C., Ozay M., YARMAN VURAL F. T.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING , cilt.6, sa.3, ss.1295-1304, 2013 (SCI-Expanded, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 52

1. Visualization of Human Brain Network for the Analysis of Alzheimer's Disease Alzheimer Hastalığının Analizi için Beyin Ağlarının Görselleştirilmesi

Değirmendereli G. G., Aydın U. S., Ahmadkhan A., Türnüklü B., YARMAN VURAL F. T.

32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024, Mersin, Türkiye, 15 - 18 Mayıs 2024, (Tam Metin Bildiri)

2. DidEye: An Attempt for Defining and Incorporating Visual Intuition for Convolutional Neural Networks DidEye: Bir Görsel Sezgi Tanimlama Denemesi ve Evrişimsel Sinir Aǧlarina Uygulanmasi

Koç R., YARMAN VURAL F. T.

31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023, İstanbul, Türkiye, 5 - 08 Temmuz 2023, (Tam Metin Bildiri)

3. Texture Analysis by Deep Twin Networks for Paper Fraud Detection Ikiz Derin Aǧlarla Doku Analizi ile Evrak Sahteciliǧinin Tesbiti

Ekiz E., ŞAHİN E., YARMAN VURAL F. T.

30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Türkiye, 15 - 18 Mayıs 2022, (Tam Metin Bildiri)

4. An Analysis on Disentanglement in Machine Learning Makine Öǧrenmesinde Ayrişiklik Üzerine Bir Analiz

MOĞULTAY H., KALKAN S., YARMAN VURAL F. T.

30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Türkiye, 15 - 18 Mayıs 2022, (Tam Metin Bildiri)

5. Template-aligned Transfer Learning on Brain Decoding Problem Beyin Çözümleme Probleminde Şablon-Hizali Transfer Öǧrenme

Eryol E., YARMAN VURAL F. T.

30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Türkiye, 15 - 18 Mayıs 2022, (Tam Metin Bildiri)

6. Estimating Static and Dynamic Brain Networks by Kulback-Leibler Divergence from fMRI Data

Degirmendereli G. G., YARMAN VURAL F. T.

25th International Conference on Pattern Recognition (ICPR), ELECTR NETWORK, 10 - 15 Ocak 2021, ss.5913-5919, (Tam Metin Bildiri)

7. On the Entropy of Brain Anatomic Regions for Complex Problem Solving

Degirmendereli G. G., Newman S. D., YARMAN VURAL F. T.

19th Annual IEEE International Conference on Bioinformatics and Bioengineering (BIBE), Athens, Yunanistan, 28 - 30 Ekim 2019, ss.603-608, (Tam Metin Bildiri)

8. Modeling and Decoding Complex Problem Solving Process by Artificial Neural Networks

Akan A. K., Kivilcim B. B., AKBAŞ E., Newman S. D., YARMAN VURAL F. T.

27th Signal Processing and Communications Applications Conference (SIU), Sivas, Türkiye, 24 - 26 Nisan 2019, (Tam Metin Bildiri)

9. EEG Classification based on Image Configuration in Social Anxiety Disorder

Mokatren L. S., Ansari R., Cetin A. E., Leow A. D., Ajilore O., Klumpp H., et al.

9th IEEE/EMBS International Conference on Neural Engineering (NER), San-Francisco, Kostarika, 20 - 23 Mart 2019, ss.577-580, (Tam Metin Bildiri)

10. CORRELATION-BASED VARIATIONAL CHANGE DETECTION FOR ELEVATION MODELS

Aktas G., Nar F., YARMAN VURAL F. T.

38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, İspanya, 22 - 27 Temmuz 2018, ss.1930-1933, (Tam Metin Bildiri)

11. NON-EUCLIDEAN VECTOR PRODUCT FOR NEURAL NETWORKS

Afrasiyabi A., Badawi D., Nasir B., Yildiz O., YARMAN VURAL F. T., ÇETİN A. E.

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Kanada, 15 - 20 Nisan 2018, ss.6862-6866, (Tam Metin Bildiri)

12. A DYNAMIC NETWORK REPRESENTATION OF FMRI FOR MODELING AND ANALYZING THE PROBLEM SOLVING TASK

Alchihabi A., Kivilicim B. B., Newman S. D., YARMAN VURAL F. T.

15th IEEE International Symposium on Biomedical Imaging (ISBI), Washington, Kiribati, 4 - 07 Nisan 2018, ss.114-117, (Tam Metin Bildiri)

13. BrainParcel: A Brain Parcellation Algorithm for Cognitive State Classification

MOĞULTAY ÖZCAN H., YARMAN VURAL F. T.

2018 International Workshop on Graphs in Biomedical Image Analysis-GRAIL, Granada, Nikaragua, 20 Eylül 2018, cilt.11044, ss.32-42, (Tam Metin Bildiri)

14. Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning

Rahnama A., Alchihabi A., Gupta V., Antsaklis P. J., YARMAN VURAL F. T.

17th IEEE International Conference on Bioinformatics and Bioengineering (BIBE), Virginia, Amerika Birleşik Devletleri, 23 - 25 Ekim 2017, ss.75-80, (Tam Metin Bildiri)

15. Transfer Learning for Brain Decoding using Deep Architectures

Velioglu B., YARMAN VURAL F. T.

IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC), Oxford, Birleşik Krallık, 26 - 28 Temmuz 2017, ss.65-70, (Tam Metin Bildiri)

16. An Energy Efficient Additive Neural Network

Afrasiyabi A., NASIR B., Yildiz O., YARMAN VURAL F. T., ÇETİN A. E.

25th Signal Processing and Communications Applications Conference (SIU), Antalya, Türkiye, 15 - 18 Mayıs 2017, (Tam Metin Bildiri)

17. Simplification and Visualization of Brain Network Extracted from fMRI Data Using CEREBRA

Nasir B., YARMAN VURAL F. T.

15th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC), California, Amerika Birleşik Devletleri, 22 - 23 Ağustos 2016, ss.174-181, (Tam Metin Bildiri)

18. A Sparse Temporal Mesh Model for Brain Decoding

Afrasiyabi A., Onal I., YARMAN VURAL F. T.

15th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC), California, Amerika Birleşik Devletleri, 22 - 23 Ağustos 2016, ss.198-206, (Tam Metin Bildiri)

19. CEREBRA: A 3-D Visualization Tool for Brain Network Extracted from fMRI Data

NASIR B., YARMAN VURAL F. T.

38th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Florida, Amerika Birleşik Devletleri, 16 - 20 Ağustos 2016, ss.1147-1150, (Tam Metin Bildiri)

20. Effect of Voxel Selection on Temporal Mesh Model for Brain Decoding

Afrasiyabi A., Onal I., YARMAN VURAL F. T.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Türkiye, 16 - 19 Mayıs 2016, ss.2249-2252, (Tam Metin Bildiri)

21. A Robust Normalization Method for fMRI Data for Brain Decoding

Yildiz O., Dogan F. I., GİLLAM İ., Mizrak E., YARMAN VURAL F. T.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Türkiye, 16 - 19 Mayıs 2016, ss.2269-2272, (Tam Metin Bildiri)

22. Functional Mesh Model with Temporal Measurements for Brain Decoding

Onal I., Ozay M., YARMAN VURAL F. T.

37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, İtalya, 25 - 29 Ağustos 2015, ss.2624-2628, (Tam Metin Bildiri)

23. Learning Deep Temporal Representations for fMRI Brain Decoding

Firat O., Aksan E., Oztekin I., YARMAN VURAL F. T.

1st International Workshop on Medical Learning Meets Medical Imaging (MLMMI), Lille, Fransa, 11 Temmuz 2015, cilt.9487, ss.25-34, (Tam Metin Bildiri)

24. Modeling Voxel Connectivity for Brain Decoding

Onal I., Ozay M., YARMAN VURAL F. T.

2015 International Workshop on Pattern Recognition in NeuroImaging PRNI 2015, California, Amerika Birleşik Devletleri, 10 - 12 Haziran 2015, ss.5-8, (Tam Metin Bildiri)

25. fMRG Verilerinde Temel Bileşenler Analizi ve Özyinemeli Boyut Eliminasyonu Kullanarak Boyut Küçültme

Afrasiyabi A., YARMAN VURAL F. T.

2015 23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Turkey, 16 - 19 Mayıs 2015, (Tam Metin Bildiri)

26. Bilişsel durum analizi için beyin Ağı modeli

ÖNAL I., Aksan E., VELİOĞLU B., Fırat O., Özay M., YARMAN VURAL F. T.

2015 23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Turkey, 16 - 19 Mayıs 2015, (Tam Metin Bildiri)

27. Spatial and Temporal Feature Extraction for Brain Decoding using CUDA

ÖNAL I., TEMİZEL A., YARMAN VURAL F. T.

GPU Technology Conference, San-Jose, Amerika Birleşik Devletleri, 17 - 20 Mart 2015, (Özet Bildiri)

28. DEEP LEARNING FOR BRAIN DECODING

Firat O., GİLLAM İ., YARMAN VURAL F. T.

IEEE International Conference on Image Processing (ICIP), Paris, Fransa, 27 - 30 Ekim 2014, ss.2784-2788, (Tam Metin Bildiri)

29. Fusion of Image Segmentations under Markov Random Fields

Karadag O. O., YARMAN VURAL F. T.

22nd International Conference on Pattern Recognition (ICPR), Stockholm, İsveç, 24 - 28 Ağustos 2014, ss.930-935, (Tam Metin Bildiri)

30. Representation Learning for Contextual Object and Region Detection in Remote Sensing

Firat O., Can G., YARMAN VURAL F. T.

22nd International Conference on Pattern Recognition (ICPR), Stockholm, İsveç, 24 - 28 Ağustos 2014, ss.3708-3713, (Tam Metin Bildiri)

31. Modeling the Brain Connectivity for Pattern Analysis

Onal I., Aksan E., Velioglu B., Firat O., Ozay M., GİLLAM İ., et al.

22nd International Conference on Pattern Recognition (ICPR), Stockholm, İsveç, 24 - 28 Ağustos 2014, ss.3339-3344, (Tam Metin Bildiri)

32. FUNCTIONAL NETWORKS OF ANATOMIC BRAIN REGIONS

Velioglu B., Aksan E., Onal I., Firat O., Ozay M., YARMAN VURAL F. T.

13th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC), London, Kanada, 18 - 20 Ağustos 2014, ss.53-60, (Tam Metin Bildiri)

33. SEGMENTATION AND DECISION FUSION FOR BUILDING DETECTION

Karadag O. O., Senaras C., YARMAN VURAL F. T.

IEEE Joint International Geoscience and Remote Sensing Symposium (IGARSS) / 35th Canadian Symposium on Remote Sensing, Quebec City, Kanada, 13 - 18 Temmuz 2014, ss.1604-1607, (Tam Metin Bildiri)

34. Estimating Brain Connectivity for Pattern Analysis

Onal I., Aksan E., Velioglu B., Firat O., Ozay M., GİLLAM İ., et al.

22nd IEEE Signal Processing and Communications Applications Conference (SIU), Trabzon, Türkiye, 23 - 25 Nisan 2014, ss.1806-1809, (Tam Metin Bildiri)

35. An Information Theoretic Approach to Classify Cognitive States Using fMRI

Onal I., Ozay M., Firat O., GİLLAM İ., YARMAN VURAL F. T.

IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE), Chania, Yunanistan, 10 - 13 Kasım 2013, (Tam Metin Bildiri)

36. FUSION OF IMAGE SEGMENTATION ALGORITHMS USING CONSENSUS CLUSTERING

Ozay M., YARMAN VURAL F. T., Kulkarni S. R., Poor H. V.

20th IEEE International Conference on Image Processing (ICIP), Melbourne, Avustralya, 15 - 18 Eylül 2013, ss.4049-4053, (Tam Metin Bildiri)

37. MRF Based Image Segmentation Augmented with Domain Specific Information

Karadag O. O., YARMAN VURAL F. T.

17th International Conference on Image Analysis and Processing (ICIAP), Naples, İtalya, 9 - 13 Eylül 2013, cilt.8157, ss.61-70, (Tam Metin Bildiri)

38. Functional Mesh Learning for Pattern Analysis of Cognitive Processes

Firat O., Ozay M., Onal I., GİLLAM İ., YARMAN VURAL F. T.

12th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI CC), New-York, Amerika Birleşik Devletleri, 16 - 18 Temmuz 2013, ss.161-167, (Tam Metin Bildiri)

39. Representation of Cognitive Processes Using the Minimum Spanning Tree of Local Meshes

Firat O., Ozay M., Onal I., GİLLAM İ., YARMAN VURAL F. T.

35th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Osaka, Japonya, 3 - 07 Temmuz 2013, ss.6780-6783, (Tam Metin Bildiri)

40. Analyzing the Information Distribution in the fMRI Measurements by Estimating the Degree of Locality

Onal I., Ozay M., Firat O., GİLLAM İ., YARMAN VURAL F. T.

35th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Osaka, Japonya, 3 - 07 Temmuz 2013, ss.6772-6775, (Tam Metin Bildiri)

41. Airplane Localization in Satellite Images by using Visual Attention

Ozyer G. T., YARMAN VURAL F. T.

21st Signal Processing and Communications Applications Conference (SIU), CYPRUS, 24 - 26 Nisan 2013, (Tam Metin Bildiri)

42. Dry Dock Detection in Satellite Images with Representation Learning

Aktas U. R., Firat O., YARMAN VURAL F. T.

21st Signal Processing and Communications Applications Conference (SIU), CYPRUS, 24 - 26 Nisan 2013, (Tam Metin Bildiri)

43. Edge aware segmentation in satellite imagery A case study of shoreline detection

Aktaş Ü. R., Gülcan C., YARMAN VURAL F. T.

7th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), Tsukuba Science City, Japan, 11 Kasım 2012, (Tam Metin Bildiri)

44. Conditional Random Fields for Land Use/Land Cover Classification and Complex Region Detection

Can G., Firat O., YARMAN VURAL F. T.

Joint IAPR International Workshop on Structural and Syntactic Pattern Recognition (SSPR) / International Workshop on Statistical Techniques in Pattern Recognition (SPR), Hiroshima, Japonya, 7 - 09 Kasım 2012, cilt.7626, ss.216-224, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

45. Smarter Security in the Smart Grid

Ozay M., Esnaola I., YARMAN VURAL F. T., Kulkarni S. R., Poor H. V.

IEEE 3rd International Conference on Smart Grid Communications (SmartGridComm), Tainan, Tayvan, 5 - 08 Kasım 2012, ss.312-317, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

46. Distributed Models for Sparse Attack Construction and State Vector Estimation in the Smart Grid

Ozay M., Esnaola I., YARMAN VURAL F. T., Kulkarni S. R., Poor H. V.

IEEE 3rd International Conference on Smart Grid Communications (SmartGridComm), Tainan, Tayvan, 5 - 08 Kasım 2012, ss.306-311, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

47. A content-based image retrieval system using visual attention Görsel dikkat kullanarak geliştirilen i̇çerik tabanli bir görüntü erişim sistemi

Özyer G. T., YARMAN VURAL F. T.

18th IEEE Signal Processing and Communications Applications Conference, SIU 2010, Diyarbakır, Türkiye, 22 - 24 Nisan 2010, ss.399-402, (Tam Metin Bildiri)

Kitaplar 1

1. Derin Öğrenme

Yarman Vural F. T., Cinbiş R. G., Kalkan S.

Buzdağı Yayınevi, Ankara, 2018

Metrikler

Yayın

Yayın (WoS)

Yayın (Scopus)

Atıf (WoS)

588

H-İndeks (WoS)

Atıf (Scopus)

371

H-İndeks (Scopus)

Atıf (Scholar)

H-İndeks (Scholar)

Proje

Tez Danışmanlığı

Açık Erişim

BM Sürdürülebilir Kalkınma Amaçları

Yayınlar & Eserler

Yayın

Yayın (WoS)

Yayın (Scopus)

Atıf (WoS)

H-İndeks (WoS)

Atıf (Scopus)

H-İndeks (Scopus)

Atıf (Scholar)

H-İndeks (Scholar)

Proje

Tez Danışmanlığı

Açık Erişim