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Fatos T. Yarman-Vural
Fatos Tünay Yarman Vural
Person information
- affiliation: Middle East Technical University, Ankara, Turkey
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2020 – today
- 2024
- [c101]Gönül Günal Degirmendereli, Ulas Sedat Aydin, Abdulla Ahmadkhan, Baris Türnüklü Ve, Fatos T. Yarman-Vural:
Visualization of Human Brain Network for the Analysis of Alzheimer's Disease. SIU 2024: 1-4 - [i18]Robin Koç, Fatos T. Yarman-Vural:
Modelling the Human Intuition to Complete the Missing Information in Images for Convolutional Neural Networks. CoRR abs/2407.09236 (2024) - 2023
- [j27]Fatos Tünay Yarman Vural, Sharlene D. Newman, Tolga Çukur, Itir Önal Ertugrul:
Editorial: Machine learning methods for human brain imaging. Frontiers Neuroinformatics 17 (2023) - [j26]Ezgi Ekiz Emiroglu, Erol Sahin, Fatos T. Yarman-Vural:
Fraud detection from paper texture using Siamese networks. Signal Image Video Process. 17(7): 3369-3376 (2023) - [c100]Ulas Sedat Aydin, Abdulla Ahmadkhan, Gonul Gunal Degirmendereli, Fatos Tünay Yarman Vural:
Early Diagnosis of Alzheimer Disease with Shannon Information Source Model of the Brain. ICECS 2023: 1-4 - [c99]Ulas Sedat Aydin, Abdulla Ahmadkhan, Gonul Gunal Degirmendereli, Fatos T. Yarman-Vural:
Early Diagnosis of Alzheimer Disease with Shannon Information Source Model of the Brain. SIU 2023: 1-4 - [c98]Robin Koç, Fatos T. Yarman-Vural:
DidEye: An Attempt for Defining and Incorporating Visual Intuition for Convolutional Neural Networks. SIU 2023: 1-4 - 2022
- [j25]Adil Kaan Akan
, Emre Akbas, Fatos T. Yarman-Vural:
Just noticeable difference for machine perception and generation of regularized adversarial images with minimal perturbation. Signal Image Video Process. 16(6): 1595-1606 (2022) - [c97]Erkin Eryol, Fatos T. Yarman-Vural:
Hierarchical Feature Alignment for Transfer Learning on Neural Decoding Tasks. BIBE 2022: 249-254 - [c96]Ezgi Ekiz, Erol Sahin, Fatos T. Yarman-Vural:
Texture Analysis by Deep Twin Networks for Paper Fraud Detection. SIU 2022: 1-4 - [c95]Erkin Eryol, Fatos T. Yarman-Vural:
Template-aligned Transfer Learning on Brain Decoding Problem. SIU 2022: 1-4 - [c94]Mustafa Kagan Gürkan
A Scoring Method for Interpretability of Concepts in Convolutional Neural Networks. SIU 2022: 1-4 - [c93]Hazal Mogultay, Sinan Kalkan, Fatos T. Yarman-Vural:
An Analysis on Disentanglement in Machine Learning. SIU 2022: 1-4 - 2021
- [j24]Lubna Shibly Mokatren
EEG Classification by Factoring in Sensor Spatial Configuration. IEEE Access 9: 19053-19065 (2021) - [j23]Abdullah Alchihabi, Omer Ekmekci, Baran Baris Kivilcim, Sharlene D. Newman, Fatos T. Yarman-Vural:
Analyzing Complex Problem Solving by Dynamic Brain Networks. Frontiers Neuroinformatics 15: 670052 (2021) - [c92]Gonul Gunal Degirmendereli, Fatos T. Yarman-Vural:
Representation of Cognitive States by Shannon Entropy. SIU 2021: 1-4 - [i17]Adil Kaan Akan, Emre Akbas, Fatos T. Yarman-Vural:
Just Noticeable Difference for Machine Perception and Generation of Regularized Adversarial Images with Minimal Perturbation. CoRR abs/2102.08079 (2021) - 2020
- [c91]Adil Kaan Akan, Mehmet Ali Genc, Fatos T. Yarman-Vural:
Just Noticeable Difference for Machines to Generate Adversarial Images. ICIP 2020: 2171-2175 - [c90]Gonul Gunal Degirmendereli, Fatos T. Yarman-Vural:
Estimating Static and Dynamic Brain Networks by Kulback-Leibler Divergence from fMRI Data. ICPR 2020: 5913-5919 - [i16]Adil Kaan Akan, Mehmet Ali Genc, Fatos T. Yarman-Vural:
Just Noticeable Difference for Machines to Generate Adversarial Images. CoRR abs/2001.11064 (2020)
2010 – 2019
- 2019
- [c89]Gonul Gunal Degirmendereli, Sharlene D. Newman, Fatos T. Yarman-Vural:
On the Entropy of Brain Anatomic Regions for Complex Problem Solving. BIBE 2019: 603-608 - [c88]Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Olusola Ajilore
EEG Classification based on Image Configuration in Social Anxiety Disorder. NER 2019: 577-580 - [c87]Adil Kaan Akan, Baran Baris Kivilcim, Emre Akbas, Sharlene D. Newman, Fatos T. Yarman-Vural:
Modeling and Decoding Complex Problem Solving Process by Artificial Neural Networks. SIU 2019: 1-4 - [i15]Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Heide Klumpp, Olusola Ajilore, Fatos T. Yarman-Vural:
Improved EEG Classification by factoring in sensor topography. CoRR abs/1905.09472 (2019) - 2018
- [c86]Arman Afrasiyabi, Diaa Badawi, Baris Nasir, Ozan Yildiz, Fatos T. Yarman-Vural, A. Enis Çetin:
Non-Euclidean Vector Product for Neural Networks. ICASSP 2018: 6862-6866 - [c85]Gizem Aktas, Fatih Nar
Correlation-Based Variational Change Detection for Elevation Models. IGARSS 2018: 1930-1933 - [c84]Abdullah Alchihabi, Baran B. Kivilicim, Sharlene D. Newman, Fatos T. Yarman-Vural:
A dynamic network representation of fMRI for modeling and analyzing the problem solving task. ISBI 2018: 114-117 - [c83]Hazal Mogultay, Fatos Tünay Yarman Vural:
BrainParcel: A Brain Parcellation Algorithm for Cognitive State Classification. GRAIL/Beyond-MIC@MICCAI 2018: 32-42 - [c82]Baran Baris Kivilcim, Itir Önal Ertugrul, Fatos Tünay Yarman Vural:
Modeling Brain Networks with Artificial Neural Networks. GRAIL/Beyond-MIC@MICCAI 2018: 43-53 - [c81]Abdullah Alchihabi, Baran B. Kivilicim, Omer Ekmekci, Sharlene D. Newman, Fatos T. Yarman-Vural:
Decoding cognitive subtasks of complex problem solving using fMRI signals. SIU 2018: 1-4 - [i14]Baran Baris Kivilcim, Itir Önal Ertugrul, Fatos T. Yarman-Vural:
Modeling Brain Networks with Artificial Neural Networks. CoRR abs/1807.08368 (2018) - [i13]Abdullah Alchihabi, Omer Ekmekci, Baran B. Kivilicim, Sharlene D. Newman, Fatos T. Yarman-Vural:
On the Brain Networks of Complex Problem Solving. CoRR abs/1810.05077 (2018) - [i12]Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Olusola Ajilore, Heide Klumpp, Fatos T. Yarman-Vural:
EEG Classification based on Image Configuration in Social Anxiety Disorder. CoRR abs/1812.02865 (2018) - 2017
- [j22]Orhan Firat, Kyunghyun Cho, Baskaran Sankaran, Fatos T. Yarman-Vural, Yoshua Bengio:
Multi-way, multilingual neural machine translation. Comput. Speech Lang. 45: 236-252 (2017) - [j21]Itir Onal
A New Representation of fMRI Signal by a Set of Local Meshes for Brain Decoding. IEEE Trans. Signal Inf. Process. over Networks 3(4): 683-694 (2017) - [c80]Burak Velioglu, Fatos T. Yarman-Vural:
Transfer learning for brain decoding using deep architectures. IEEE ICCI*CC 2017: 65-70 - [c79]Arash Rahnama, Abdullah Alchihabi, Vijay Gupta
Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning. BIBE 2017: 75-80 - [c78]Arman Afrasiyabi, Baris Nasir, Ozan Yildiz, Fatos T. Yarman-Vural, A. Enis Çetin:
An energy efficient additive neural network. SIU 2017: 1-4 - [c77]Hazal Mogultay, Fatos Tünay Yarman Vural:
Cognitive learner: An ensemble learning architecture for cognitive state classification. SIU 2017: 1-4 - [i11]Arman Afrasiyabi, Ozan Yildiz, Baris Nasir, Fatos T. Yarman-Vural, A. Enis Çetin:
Energy Saving Additive Neural Network. CoRR abs/1702.02676 (2017) - [i10]Arash Rahnama, Abdullah Alchihabi, Vijay Gupta, Panos J. Antsaklis, Fatos T. Yarman-Vural:
Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning. CoRR abs/1708.04232 (2017) - 2016
- [j20]Mete Ozay, Fatos Tünay Yarman Vural:
Hierarchical distance learning by stacking nearest neighbor classifiers. Inf. Fusion 29: 14-31 (2016) - [j19]Çaglar Senaras
A Self-Supervised Decision Fusion Framework for Building Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(5): 1780-1791 (2016) - [j18]Mete Ozay, Inaki Esnaola
Machine Learning Methods for Attack Detection in the Smart Grid. IEEE Trans. Neural Networks Learn. Syst. 27(8): 1773-1786 (2016) - [c76]Baris Nasir, Fatos T. Yarman-Vural:
Simplification and visualization of brain network extracted from fMRI data using CEREBRA. ICCI*CC 2016: 174-181 - [c75]Arman Afrasiyabi, Itir Onal, Fatos T. Yarman-Vural:
A Sparse Temporal Mesh Model for brain decoding. ICCI*CC 2016: 198-206 - [c74]Baris Nasir, Fatos T. Yarman-Vural:
CEREBRA: A 3-D visualization tool for brain network extracted from fMRI data. EMBC 2016: 1147-1150 - [c73]Orhan Firat, Baskaran Sankaran, Yaser Al-Onaizan, Fatos T. Yarman-Vural, Kyunghyun Cho:
Zero-Resource Translation with Multi-Lingual Neural Machine Translation. EMNLP 2016: 268-277 - [c72]Gunes Sucu, Emre Akbas
Decoding cognitive states using the bag of words model on fMRI time series. SIU 2016: 2245-2248 - [c71]Arman Afrasiyabi, Itir Onal, Fatos T. Yarman-Vural:
Effect of voxel selection on temporal mesh model for brain decoding. SIU 2016: 2249-2252 - [c70]Ozan Yildiz, Fethiye Irmak Dogan
A robust normalization method for fMRI data for brain decoding. SIU 2016: 2269-2272 - [i9]Itir Onal, Mete Ozay, Eda Mizrak, Ilke Öztekin, Fatos T. Yarman-Vural:
Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding. CoRR abs/1603.01067 (2016) - [i8]Orhan Firat, Baskaran Sankaran, Yaser Al-Onaizan, Fatos T. Yarman-Vural, Kyunghyun Cho:
Zero-Resource Translation with Multi-Lingual Neural Machine Translation. CoRR abs/1606.04164 (2016) - [i7]Itir Önal, Mete Ozay, Fatos Tünay Yarman Vural:
A Hierarchical Multi-resolution Mesh Network for Brain Decoding. CoRR abs/1607.07695 (2016) - [i6]Itir Önal Ertugrul, Mete Ozay, Fatos T. Yarman-Vural:
Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification. CoRR abs/1610.05036 (2016) - 2015
- [j17]Özge Öztimur Karadag, Çaglar Senaras
Segmentation Fusion for Building Detection Using Domain-Specific Information. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(7): 3305-3315 (2015) - [c69]Itir Önal, Mete Ozay, Fatos T. Yarman-Vural:
Functional Mesh Model with Temporal Measurements for brain decoding. EMBC 2015: 2624-2628 - [c68]Sarper Alkan
Ensembling brain regions for brain decoding. EMBC 2015: 2948-2951 - [c67]Orhan Firat, Emre Aksan, Ilke Öztekin, Fatos T. Yarman-Vural:
Learning Deep Temporal Representations for fMRI Brain Decoding. MLMMI@ICML 2015: 25-34 - [c66]Itir Önal, Mete Ozay, Fatos T. Yarman-Vural:
Modeling Voxel Connectivity for Brain Decoding. PRNI 2015: 5-8 - [c65]Özge Öztimur Karadag, Mehmet Akif Akkus, Sinan Kalkan
An MRF framework for co-solving image segmentation and border ownership. SIU 2015: 839-842 - [c64]Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural:
Bilişsel durum analizi i~in beyin Aği modeli. SIU 2015: 1688-1692 - [c63]Hazal Mogultay, Sarper Alkan
Classification of fMRI data by using clustering. SIU 2015: 2381-2383 - [c62]Arman Afrasiyabi, Fatos T. Yarman-Vural:
fMRG Verilerinde Temel Bileşenler Analizi ve Özyinemeli Boyut Eliminasyonu Kullanarak Boyut Küçültme. SIU 2015: 2438-2441 - [i5]Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. CoRR abs/1502.04254 (2015) - [i4]Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Fusion of Image Segmentation Algorithms using Consensus Clustering. CoRR abs/1502.05435 (2015) - [i3]Mete Özay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Machine Learning Methods for Attack Detection in the Smart Grid. CoRR abs/1503.06468 (2015) - 2014
- [j16]Özge Öztimur Karadag, Fatos T. Yarman-Vural:
Image segmentation by fusion of low level and domain specific information via Markov Random Fields. Pattern Recognit. Lett. 46: 75-82 (2014) - [c61]Burak Velioglu, Emre Aksan, Itir Onal, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural:
Functional networks of anatomic brain regions. ICCI*CC 2014: 53-60 - [c60]Orhan Firat, Like Oztekin, Fatos T. Yarman-Vural:
Deep learning for brain decoding. ICIP 2014: 2784-2788 - [c59]Özge Öztimur Karadag, Fatos T. Yarman-Vural:
Fusion of Image Segmentations under Markov, Random Fields. ICPR 2014: 930-935 - [c58]Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Ilke Öztekin, Fatos T. Yarman-Vural:
Modeling the Brain Connectivity for Pattern Analysis. ICPR 2014: 3339-3344 - [c57]Orhan Firat, Gulcan Can, Fatos T. Yarman-Vural:
Representation Learning for Contextual Object and Region Detection in Remote Sensing. ICPR 2014: 3708-3713 - [c56]Özge Öztimur Karadag, Çaglar Senaras
Segmentation and decision fusion for building detection. IGARSS 2014: 1604-1607 - [c55]Itir Önal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Like Oztekin, Fatos T. Yarman-Vural:
Estimating brain connectivity for pattern analysis. SIU 2014: 1806-1809 - [c54]Sarper Alkan
Localization of semantic category classification in fMRI images. SIU 2014: 2178-2181 - 2013
- [j15]Orhan Firat, Mete Özay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural:
Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding. Int. J. Cogn. Informatics Nat. Intell. 7(3): 46-57 (2013) - [j14]Mete Ozay, Inaki Esnaola
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. IEEE J. Sel. Areas Commun. 31(7): 1306-1318 (2013) - [j13]Çaglar Senaras
Building Detection With Decision Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(3): 1295-1304 (2013) - [c53]Orhan Firat, Mete Ozay, Itir Onal, Ilke Öztekin, Fatos T. Yarman-Vural:
Functional Mesh Learning for pattern analysis of cognitive processes. ICCI*CC 2013: 161-167 - [c52]Itir Onal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos T. Yarman-Vural:
An information theoretic approach to classify cognitive states using fMRI. BIBE 2013: 1-6 - [c51]Itir Onal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos Tünay Yarman Vural:
Analyzing the information distribution in the fMRI measurements by estimating the degree of locality. EMBC 2013: 6772-6775 - [c50]Orhan Firat, Mete Ozay, Itir Onal, Ilke Öztekin, Fatos Tünay Yarman Vural:
Representation of cognitive processes using the minimum spanning tree of local meshes. EMBC 2013: 6780-6783 - [c49]Özge Öztimur Karadag, Fatos T. Yarman-Vural:
MRF Based Image Segmentation Augmented with Domain Specific Information. ICIAP (2) 2013: 61-70 - [c48]Omer Ekmekci, Orhan Firat, Mete Ozay, Ilke Öztekin, Fatos T. Yarman-Vural, Uygar Öztekin:
Mesh learning for object classification using fMRI measurements. ICIP 2013: 2631-2634 - [c47]Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Fusion of image segmentation algorithms using consensus clustering. ICIP 2013: 4049-4053 - [c46]Ümit Rusen Aktas
Dry dock detection in satellite images with representation learning. SIU 2013: 1-4 - [c45]Gulcan Can, Orhan Firat, Fatos T. Yarman-Vural:
Contextual object recoğnition with conditional random fields. SIU 2013: 1-4 - [c44]Orhan Firat, Mete Ozay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural:
Cognitive process representation with minimum spanning tree of local meshes. SIU 2013: 1-4 - [c43]Orhan Firat, Fatos T. Yarman-Vural:
Representation learning with convolutional sparse autoencoders for remote sensing. SIU 2013: 1-4 - [c42]Itir Önal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos T. Yarman-Vural:
Information distribution analysis in the fMRI measurements with degree of locality estimation. SIU 2013: 1-4 - [c41]Gulsah Tumuklu Ozyer, Fatos T. Yarman-Vural:
Airplane localization in satellite images by using visual attention. SIU 2013: 1-4 - 2012
- [c40]Çaglar Senaras
Automatic building detection with feature space fusion using ensemble learning. IGARSS 2012: 6713-6716 - [c39]Ümit Rusen Aktas
A robust approach for shoreline detection in satellite imagery. SIU 2012: 1-4 - [c38]Orhan Firat, Mete Ozay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural:
Mesh learning approach for brain data modeling. SIU 2012: 1-4 - [c37]Orhan Firat, Okan Tarhan Tursun, Fatos T. Yarman-Vural:
Application of context invariants in airport region of interest detection for multi-spectral satellite imagery. SIU 2012: 1-4 - [c36]Özge Öztimur Karadag, Fatos T. Yarman-Vural:
Semantic image segmentation with Markov Random Fields. SIU 2012: 1-4 - [c35]Mete Ozay, Inaki Esnaola
Distributed models for sparse attack construction and state vector estimation in the smart grid. SmartGridComm 2012: 306-311 - [c34]Mete Ozay, Inaki Esnaola
Smarter security in the smart grid. SmartGridComm 2012: 312-317 - [c33]Gulcan Can, Orhan Firat, Fatos Tünay Yarman Vural:
Conditional Random Fields for Land Use/Land Cover Classification and Complex Region Detection. SSPR/SPR 2012: 216-224 - [i2]Mete Ozay, Fatos T. Yarman-Vural:
A New Fuzzy Stacked Generalization Technique for Deep learning and Analysis of its Performance. CoRR abs/1204.0171 (2012) - [i1]Mete Ozay, Ilke Öztekin, Uygar Öztekin, Fatos T. Yarman-Vural:
Mesh Learning for Classifying Cognitive Processes. CoRR abs/1205.2382 (2012) - 2011
- [c32]Gulsah Tumuklu Ozyer, Fatos T. Yarman-Vural:
An Attention-Based Image Retrieval System. ICMLA (1) 2011: 96-99
2000 – 2009
- 2009
- [c31]Özge Öztimur Karadag, Fatos T. Yarman-Vural:
HANOLISTIC: A Hierarchical Automatic Image Annotation System Using Holistic Approach. CVPR Workshops 2009: 16-21 - [c30]Mete Ozay, Fatos Tünay Yarman Vural:
A new decision fusion technique for image classification. ICIP 2009: 2189-2192 - [c29]Ahmet Sayar
Image annotation with semi-supervised clustering. ISCIS 2009: 12-17 - [c28]Mete Ozay, Okan Akalin, Fatos T. Yarman-Vural:
Ensemble detection: A new architecture for multisensor data fusion with ensemble learning for object detection. ISCIS 2009: 420-425 - 2008
- [c27]Mete Ozay, Fatos Tünay Yarman Vural:
On the Performance of Stacked Generalization Classifiers. ICIAR 2008: 445-454 - 2007
- [c26]Emre Akbas
Automatic Image Annotation by Ensemble of Visual Descriptors. CVPR 2007 - 2006
- [c25]Mutlu Uysal, Emre Akbas
A Hierarchical Classification System Based on Adaptive Resonance Theory. ICIP 2006: 2913-2916 - [c24]Emre Akbas, Fatos T. Yarman-Vural:
Design of a Feature Set for Face Recognition Problem. ISCIS 2006: 239-247 - 2005
- [c23]Nafiz Arica
Shape Similarity Measurement for Boundary Based Features. ICIAR 2005: 431-438 - [c22]Mutlu Uysal, Fatos T. Yarman-Vural:
ORF-NT: An Object-Based Image Retrieval Framework Using Neighborhood Trees. ISCIS 2005: 595-605 - 2004
- [c21]Ömer Önder Tola, Nafiz Arica, Fatos T. Yarman-Vural:
Shape Recognition with Generalized Beam Angle Statistics. ISCIS 2004: 391-399 - [c20]Özge Can Özcanli, Fatos T. Yarman-Vural:
An Image Retrieval System Based on Region Classification. ISCIS 2004: 449-458 - [c19]Mutlu Uysal, Fatos T. Yarman-Vural:
A content based image retrieval system based on the fuzzy ARTMAP architecture. ACM Multimedia 2004: 248-251 - 2003
- [j12]Yaowu Xu, Pinar Duygulu
Object-based image labeling through learning by example and multi-level segmentation. Pattern Recognit. 36(6): 1407-1423 (2003) - [j11]Abdurrahman Çarkacioglu, Fatos T. Yarman-Vural:
SASI: a generic texture descriptor for image retrieval. Pattern Recognit. 36(11): 2615-2633 (2003) - [j10]Nafiz Arica
BAS: a perceptual shape descriptor based on the beam angle statistics. Pattern Recognit. Lett. 24(9-10): 1627-1639 (2003) - [c18]Mutlu Uysal, Fatos T. Yarman-Vural:
Selection of the Best Representative Feature and Membership Assignment for Content-Based Fuzzy Image Database. CIVR 2003: 141-151 - [c17]Nafiz Arica, Fatos T. Yarman-Vural:
A Compact Shape Descriptor Based on the Beam Anlge Statistics. CIVR 2003: 152-162 - 2002
- [j9]Nafiz Arica
Optical Character Recognition for Cursive Handwriting. IEEE Trans. Pattern Anal. Mach. Intell. 24(6): 801-813 (2002) - [c16]Abdurrahman Çarkacioglu, Fatos T. Yarman-Vural:
Learning similarity space. ICIP (1) 2002: 405-408 - [c15]Nafiz Arica, Fatos T. Yarman-Vural:
A Perceptual Shape Descriptor. ICPR (3) 2002: 375-378 - 2001
- [j8]Nafiz Arica
An overview of character recognition focused on off-line handwriting. IEEE Trans. Syst. Man Cybern. Syst. 31(2): 216-233 (2001) - [c14]Abdurrahman Çarkacioglu, Fatos T. Yarman-Vural:
SASI: a new texture descriptor for content based image retrieval. ICIP (2) 2001: 137-140 - [c13]Pinar Duygulu
Multilevel image segmentation and object representation for content-based image retrieval. Storage and Retrieval for Media Databases 2001: 460-469 - 2000
- [j7]Nafiz Arica
One-dimensional representation of two-dimensional information for HMM based handwriting recognition. Pattern Recognit. Lett. 21(6-7): 583-592 (2000) - [c12]Yaowu Xu, Pinar Duygulu, Eli Saber, A. Murat Tekalp
Object based image retrieval based on multi-level segmentation. ICASSP 2000: 2019-2022 - [c11]Nafiz Arica, Fatos T. Yarman-Vural:
A Shape Descriptor Based on Circular Hidden Markov Mode. ICPR 2000: 1924-1927
1990 – 1999
- 1999
- [j6]Erhan Öztop
Repulsive attractive network for baseline extraction on document images. Signal Process. 75(1): 1-10 (1999) - [c10]Serkan Genç, Fatos T. Yarman-Vural:
Morphing as a Tool for Motion Modeling. ICIAP 1999: 538-543 - [c9]Nafiz Arica, Fatos T. Yarman-Vural:
A new HMM topology for shape recognition. NSIP 1999: 756-760 - 1998
- [c8]Mustafa Uysal, Fatos T. Yarman-Vural:
A Fast Color Quantization Algorithm using a Set of One Dimensional Color Intervals. ICIP (1) 1998: 191-195 - [c7]Nafiz Arica, Fatos T. Yarman-Vural:
One Dimensional Representation of Two Dimensional Information for HMM based Handwritten Recognition. ICIP (2) 1998: 948-952 - [c6]Nafiz Arica, Fatos T. Yarman-Vural:
A new scheme for off-line handwritten connected digit recognition. ICPR 1998: 1127-1129 - [c5]Nafiz Arica, Fatos T. Yarman-Vural:
A new scheme for off-line handwritten connected digit recognition. KES (2) 1998: 329-335 - 1997
- [j5]A. Alper Atici, Fatos T. Yarman-Vural:
A heuristic algorithm for optical character recognition of Arabic script. Signal Process. 62(1): 87-99 (1997) - [c4]Erhan Öztop, Adem Yasar Mülayim, Volkan Atalay, Fatos T. Yarman-Vural:
Repulsive attractive network for baseline extraction on document images. ICASSP 1997: 3181-3184 - [c3]Mehmet Ali Özdil, Fatos T. Yarman-Vural:
Optical Character Recognition Without Segmentation. ICDAR 1997: 483-486 - [c2]Abdurrahman Çarkacioglu, Fatos T. Yarman-Vural:
Similarity Measures for Binary and Grey Level Markov Random Field Textures. ICIAP (1) 1997: 127-133 - [c1]Mehmet Ali Özdil, Fatos T. Yarman-Vural, Nafiz Arica
Optical Character Recognition Without Segmentation. ICIAP (2) 1997: 608-615
1980 – 1989
- 1989
- [j4]Fatos Tünay Yarman Vural, Dennis Wawrzynski, A. Enis Çetin:
The generalized H-lattice filter and estimation of the ARMA models. IEEE Trans. Acoust. Speech Signal Process. 37(1): 147-151 (1989) - 1988
- [j3]N. Yalabik, Fatos T. Yarman-Vural, A. Mansur:
Modified condensed nearest neighbor rule as applied to speaker independent word recognition. Speech Commun. 7(4): 411-415 (1988) - 1987
- [j2]Fatos T. Yarman-Vural, Ergin Ataman:
Noise, histogram and cluster validity for Gaussian-mixtured data. Pattern Recognit. 20(4): 385-401 (1987) - 1985
- [j1]Fatos T. Yarman-Vural:
An efficient and order-recursive algorithm for estimating stationary ARMA models. IEEE Trans. Acoust. Speech Signal Process. 33(4): 1054-1058 (1985)
Coauthor Index
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For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
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load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
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to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
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last updated on 2024-10-07 21:17 CEST by the dblp team
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