Fatos T. Yarman-Vural

133 papers A* 3A 1B 11C 6Misc 4Journal 43Unranked 65

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A concept-aware explainability method for convolutional neural networks. Mach. Vis. Appl. Mustafa Kagan Gürkan, Nafiz Arica, Fatos T. Yarman-Vural
2025	J	`jnl`	Generalized variational autoencoders for learning disentangled representation. Neurocomputing Hazal Mogultay Ozcan, Sinan Kalkan, Fatos T. Yarman-Vural
2025	J	`jnl`	L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation. CoRR Hazal Mogultay Ozcan, Sinan Kalkan, Fatos T. Yarman-Vural
2025	J	`jnl`	L-VAE: variational auto-encoder with learnable beta for disentangled representation. Mach. Vis. Appl. Hazal Mogultay Ozcan, Sinan Kalkan, Fatos T. Yarman-Vural
2024	J	`jnl`	Modelling the Human Intuition to Complete the Missing Information in Images for Convolutional Neural Networks. CoRR Robin Koç, Fatos T. Yarman-Vural
2024	—	`conf`	Visualization of Human Brain Network for the Analysis of Alzheimer's Disease. SIU Gönül Günal Degirmendereli, Ulas Sedat Aydin, Abdulla Ahmadkhan, Baris Türnüklü Ve, Fatos T. Yarman-Vural
2023	—	`conf`	DidEye: An Attempt for Defining and Incorporating Visual Intuition for Convolutional Neural Networks. SIU Robin Koç, Fatos T. Yarman-Vural
2023	—	`conf`	Early Diagnosis of Alzheimer Disease with Shannon Information Source Model of the Brain. SIU Ulas Sedat Aydin, Abdulla Ahmadkhan, Gonul Gunal Degirmendereli, Fatos T. Yarman-Vural
2023	J	`jnl`	Fraud detection from paper texture using Siamese networks. Signal Image Video Process. Ezgi Ekiz Emiroglu, Erol Sahin, Fatos T. Yarman-Vural
2022	—	`conf`	A Scoring Method for Interpretability of Concepts in Convolutional Neural Networks. SIU Mustafa Kagan Gürkan, Nafiz Arica, Fatos T. Yarman-Vural
2022	—	`conf`	An Analysis on Disentanglement in Machine Learning. SIU Hazal Mogultay, Sinan Kalkan, Fatos T. Yarman-Vural
2022	C	`conf`	Hierarchical Feature Alignment for Transfer Learning on Neural Decoding Tasks. BIBE Erkin Eryol, Fatos T. Yarman-Vural
2022	J	`jnl`	Just noticeable difference for machine perception and generation of regularized adversarial images with minimal perturbation. Signal Image Video Process. Adil Kaan Akan, Emre Akbas, Fatos T. Yarman-Vural
2022	—	`conf`	Template-aligned Transfer Learning on Brain Decoding Problem. SIU Erkin Eryol, Fatos T. Yarman-Vural
2022	—	`conf`	Texture Analysis by Deep Twin Networks for Paper Fraud Detection. SIU Ezgi Ekiz, Erol Sahin, Fatos T. Yarman-Vural
2021	J	`jnl`	Analyzing Complex Problem Solving by Dynamic Brain Networks. Frontiers Neuroinformatics Abdullah Alchihabi, Omer Ekmekci, Baran Baris Kivilcim, Sharlene D. Newman, Fatos T. Yarman-Vural
2021	J	`jnl`	EEG Classification by Factoring in Sensor Spatial Configuration. IEEE Access Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Olusola Ajilore, Heide Klumpp, Fatos T. Yarman-Vural
2021	J	`jnl`	Just Noticeable Difference for Machine Perception and Generation of Regularized Adversarial Images with Minimal Perturbation. CoRR Adil Kaan Akan, Emre Akbas, Fatos T. Yarman-Vural
2021	—	`conf`	Representation of Cognitive States by Shannon Entropy. SIU Gonul Gunal Degirmendereli, Fatos T. Yarman-Vural
2020	B	`conf`	Estimating Static and Dynamic Brain Networks by Kulback-Leibler Divergence from fMRI Data. ICPR Gonul Gunal Degirmendereli, Fatos T. Yarman-Vural
2020	B	`conf`	Just Noticeable Difference for Machines to Generate Adversarial Images. ICIP Adil Kaan Akan, Mehmet Ali Genc, Fatos T. Yarman-Vural
2020	J	`jnl`	Just Noticeable Difference for Machines to Generate Adversarial Images. CoRR Adil Kaan Akan, Mehmet Ali Genc, Fatos T. Yarman-Vural
2019	—	`conf`	EEG Classification based on Image Configuration in Social Anxiety Disorder. NER Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Olusola Ajilore, Heide Klumpp, Fatos T. Yarman-Vural
2019	J	`jnl`	Improved EEG Classification by factoring in sensor topography. CoRR Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Heide Klumpp, Olusola Ajilore, Fatos T. Yarman-Vural
2019	—	`conf`	Modeling and Decoding Complex Problem Solving Process by Artificial Neural Networks. SIU Adil Kaan Akan, Baran Baris Kivilcim, Emre Akbas, Sharlene D. Newman, Fatos T. Yarman-Vural
2019	C	`conf`	On the Entropy of Brain Anatomic Regions for Complex Problem Solving. BIBE Gonul Gunal Degirmendereli, Sharlene D. Newman, Fatos T. Yarman-Vural
2018	—	`conf`	A dynamic network representation of fMRI for modeling and analyzing the problem solving task. ISBI Abdullah Alchihabi, Baran B. Kivilicim, Sharlene D. Newman, Fatos T. Yarman-Vural
2018	—	`conf`	Decoding cognitive subtasks of complex problem solving using fMRI signals. SIU Abdullah Alchihabi, Baran B. Kivilicim, Omer Ekmekci, Sharlene D. Newman, Fatos T. Yarman-Vural
2018	J	`jnl`	EEG Classification based on Image Configuration in Social Anxiety Disorder. CoRR Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Olusola Ajilore, Heide Klumpp, Fatos T. Yarman-Vural
2018	J	`jnl`	Modeling Brain Networks with Artificial Neural Networks. CoRR Baran Baris Kivilcim, Itir Önal Ertugrul, Fatos T. Yarman-Vural
2018	Misc	`conf`	Non-Euclidean Vector Product for Neural Networks. ICASSP Arman Afrasiyabi, Diaa Badawi, Baris Nasir, Ozan Yildiz, Fatos T. Yarman-Vural, A. Enis Çetin
2018	J	`jnl`	On the Brain Networks of Complex Problem Solving. CoRR Abdullah Alchihabi, Omer Ekmekci, Baran B. Kivilicim, Sharlene D. Newman, Fatos T. Yarman-Vural
2017	—	`conf`	An energy efficient additive neural network. SIU Arman Afrasiyabi, Baris Nasir, Ozan Yildiz, Fatos T. Yarman-Vural, A. Enis Çetin
2017	C	`conf`	Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning. BIBE Arash Rahnama, Abdullah Alchihabi, Vijay Gupta, Panos J. Antsaklis, Fatos T. Yarman-Vural
2017	J	`jnl`	Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning. CoRR Arash Rahnama, Abdullah Alchihabi, Vijay Gupta, Panos J. Antsaklis, Fatos T. Yarman-Vural
2017	J	`jnl`	Energy Saving Additive Neural Network. CoRR Arman Afrasiyabi, Ozan Yildiz, Baris Nasir, Fatos T. Yarman-Vural, A. Enis Çetin
2017	J	`jnl`	Multi-way, multilingual neural machine translation. Comput. Speech Lang. Orhan Firat, Kyunghyun Cho, Baskaran Sankaran, Fatos T. Yarman-Vural, Yoshua Bengio
2017	—	`conf`	Transfer learning for brain decoding using deep architectures. IEEE ICCI*CC Burak Velioglu, Fatos T. Yarman-Vural
2016	J	`jnl`	A Self-Supervised Decision Fusion Framework for Building Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Çaglar Senaras, Fatos T. Yarman-Vural
2016	—	`conf`	A Sparse Temporal Mesh Model for brain decoding. ICCI*CC Arman Afrasiyabi, Itir Onal, Fatos T. Yarman-Vural
2016	—	`conf`	A robust normalization method for fMRI data for brain decoding. SIU Ozan Yildiz, Fethiye Irmak Dogan, Ilke Öztekin, Eda Mizrak, Fatos T. Yarman-Vural
2016	—	`conf`	CEREBRA: A 3-D visualization tool for brain network extracted from fMRI data. EMBC Baris Nasir, Fatos T. Yarman-Vural
2016	—	`conf`	Decoding cognitive states using the bag of words model on fMRI time series. SIU Gunes Sucu, Emre Akbas, Ilke Öztekin, Eda Mizrak, Fatos T. Yarman-Vural
2016	—	`conf`	Effect of voxel selection on temporal mesh model for brain decoding. SIU Arman Afrasiyabi, Itir Onal, Fatos T. Yarman-Vural
2016	J	`jnl`	Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification. CoRR Itir Önal Ertugrul, Mete Ozay, Fatos T. Yarman-Vural
2016	J	`jnl`	Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding. CoRR Itir Onal, Mete Ozay, Eda Mizrak, Ilke Öztekin, Fatos T. Yarman-Vural
2016	—	`conf`	Simplification and visualization of brain network extracted from fMRI data using CEREBRA. ICCI*CC Baris Nasir, Fatos T. Yarman-Vural
2016	A*	`conf`	Zero-Resource Translation with Multi-Lingual Neural Machine Translation. EMNLP Orhan Firat, Baskaran Sankaran, Yaser Al-Onaizan, Fatos T. Yarman-Vural, Kyunghyun Cho
2016	J	`jnl`	Zero-Resource Translation with Multi-Lingual Neural Machine Translation. CoRR Orhan Firat, Baskaran Sankaran, Yaser Al-Onaizan, Fatos T. Yarman-Vural, Kyunghyun Cho
2015	—	`conf`	An MRF framework for co-solving image segmentation and border ownership. SIU Özge Öztimur Karadag, Mehmet Akif Akkus, Sinan Kalkan, Fatos T. Yarman-Vural
2015	—	`conf`	Bilişsel durum analizi i~in beyin Aği modeli. SIU Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural
2015	—	`conf`	Classification of fMRI data by using clustering. SIU Hazal Mogultay, Sarper Alkan, Fatos T. Yarman-Vural
2015	—	`conf`	Ensembling brain regions for brain decoding. EMBC Sarper Alkan, Fatos T. Yarman-Vural
2015	—	`conf`	Functional Mesh Model with Temporal Measurements for brain decoding. EMBC Itir Önal, Mete Ozay, Fatos T. Yarman-Vural
2015	J	`jnl`	Fusion of Image Segmentation Algorithms using Consensus Clustering. CoRR Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2015	—	`conf`	Learning Deep Temporal Representations for fMRI Brain Decoding. MLMMI@ICML Orhan Firat, Emre Aksan, Ilke Öztekin, Fatos T. Yarman-Vural
2015	J	`jnl`	Machine Learning Methods for Attack Detection in the Smart Grid. CoRR Mete Özay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2015	—	`conf`	Modeling Voxel Connectivity for Brain Decoding. PRNI Itir Önal, Mete Ozay, Fatos T. Yarman-Vural
2015	J	`jnl`	Segmentation Fusion for Building Detection Using Domain-Specific Information. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Özge Öztimur Karadag, Çaglar Senaras, Fatos T. Yarman-Vural
2015	J	`jnl`	Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. CoRR Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2015	—	`conf`	fMRG Verilerinde Temel Bileşenler Analizi ve Özyinemeli Boyut Eliminasyonu Kullanarak Boyut Küçültme. SIU Arman Afrasiyabi, Fatos T. Yarman-Vural
2014	B	`conf`	Deep learning for brain decoding. ICIP Orhan Firat, Like Oztekin, Fatos T. Yarman-Vural
2014	—	`conf`	Estimating brain connectivity for pattern analysis. SIU Itir Önal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Like Oztekin, Fatos T. Yarman-Vural
2014	—	`conf`	Functional networks of anatomic brain regions. ICCI*CC Burak Velioglu, Emre Aksan, Itir Onal, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural
2014	B	`conf`	Fusion of Image Segmentations under Markov, Random Fields. ICPR Özge Öztimur Karadag, Fatos T. Yarman-Vural
2014	J	`jnl`	Image segmentation by fusion of low level and domain specific information via Markov Random Fields. Pattern Recognit. Lett. Özge Öztimur Karadag, Fatos T. Yarman-Vural
2014	—	`conf`	Localization of semantic category classification in fMRI images. SIU Sarper Alkan, Fatos T. Yarman-Vural
2014	B	`conf`	Modeling the Brain Connectivity for Pattern Analysis. ICPR Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Ilke Öztekin, Fatos T. Yarman-Vural
2014	B	`conf`	Representation Learning for Contextual Object and Region Detection in Remote Sensing. ICPR Orhan Firat, Gulcan Can, Fatos T. Yarman-Vural
2014	C	`conf`	Segmentation and decision fusion for building detection. IGARSS Özge Öztimur Karadag, Çaglar Senaras, Fatos T. Yarman-Vural
2013	—	`conf`	Airplane localization in satellite images by using visual attention. SIU Gulsah Tumuklu Ozyer, Fatos T. Yarman-Vural
2013	C	`conf`	An information theoretic approach to classify cognitive states using fMRI. BIBE Itir Onal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos T. Yarman-Vural
2013	J	`jnl`	Building Detection With Decision Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Çaglar Senaras, Mete Ozay, Fatos T. Yarman-Vural
2013	—	`conf`	Cognitive process representation with minimum spanning tree of local meshes. SIU Orhan Firat, Mete Ozay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural
2013	—	`conf`	Contextual object recoğnition with conditional random fields. SIU Gulcan Can, Orhan Firat, Fatos T. Yarman-Vural
2013	—	`conf`	Dry dock detection in satellite images with representation learning. SIU Ümit Rusen Aktas, Orhan Firat, Fatos T. Yarman-Vural
2013	J	`jnl`	Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding. Int. J. Cogn. Informatics Nat. Intell. Orhan Firat, Mete Özay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural
2013	—	`conf`	Functional Mesh Learning for pattern analysis of cognitive processes. ICCI*CC Orhan Firat, Mete Ozay, Itir Onal, Ilke Öztekin, Fatos T. Yarman-Vural
2013	B	`conf`	Fusion of image segmentation algorithms using consensus clustering. ICIP Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2013	—	`conf`	Information distribution analysis in the fMRI measurements with degree of locality estimation. SIU Itir Önal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos T. Yarman-Vural
2013	—	`conf`	MRF Based Image Segmentation Augmented with Domain Specific Information. ICIAP (2) Özge Öztimur Karadag, Fatos T. Yarman-Vural
2013	B	`conf`	Mesh learning for object classification using fMRI measurements. ICIP Omer Ekmekci, Orhan Firat, Mete Ozay, Ilke Öztekin, Fatos T. Yarman-Vural, Uygar Öztekin
2013	—	`conf`	Representation learning with convolutional sparse autoencoders for remote sensing. SIU Orhan Firat, Fatos T. Yarman-Vural
2013	J	`jnl`	Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. IEEE J. Sel. Areas Commun. Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2012	J	`jnl`	A New Fuzzy Stacked Generalization Technique for Deep learning and Analysis of its Performance CoRR Mete Ozay, Fatos T. Yarman-Vural
2012	—	`conf`	A robust approach for shoreline detection in satellite imagery. SIU Ümit Rusen Aktas, Gulcan Can, Fatos T. Yarman-Vural
2012	—	`conf`	Application of context invariants in airport region of interest detection for multi-spectral satellite imagery. SIU Orhan Firat, Okan Tarhan Tursun, Fatos T. Yarman-Vural
2012	C	`conf`	Automatic building detection with feature space fusion using ensemble learning. IGARSS Çaglar Senaras, Baris Yüksel, Mete Ozay, Fatos T. Yarman-Vural
2012	—	`conf`	Distributed models for sparse attack construction and state vector estimation in the smart grid. SmartGridComm Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2012	J	`jnl`	Mesh Learning for Classifying Cognitive Processes CoRR Mete Ozay, Ilke Öztekin, Uygar Öztekin, Fatos T. Yarman-Vural
2012	—	`conf`	Mesh learning approach for brain data modeling. SIU Orhan Firat, Mete Ozay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural
2012	—	`conf`	Semantic image segmentation with Markov Random Fields. SIU Özge Öztimur Karadag, Fatos T. Yarman-Vural
2012	—	`conf`	Smarter security in the smart grid. SmartGridComm Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2011	—	`conf`	An Attention-Based Image Retrieval System. ICMLA (1) Gulsah Tumuklu Ozyer, Fatos T. Yarman-Vural
2009	—	`conf`	Ensemble detection: A new architecture for multisensor data fusion with ensemble learning for object detection. ISCIS Mete Ozay, Okan Akalin, Fatos T. Yarman-Vural
2009	—	`conf`	HANOLISTIC: A Hierarchical Automatic Image Annotation System Using Holistic Approach. CVPR Workshops Özge Öztimur Karadag, Fatos T. Yarman-Vural
2007	A*	`conf`	Automatic Image Annotation by Ensemble of Visual Descriptors. CVPR Emre Akbas, Fatos T. Yarman-Vural
2006	B	`conf`	A Hierarchical Classification System Based on Adaptive Resonance Theory. ICIP Mutlu Uysal, Emre Akbas, Fatos T. Yarman-Vural
2006	—	`conf`	Design of a Feature Set for Face Recognition Problem. ISCIS Emre Akbas, Fatos T. Yarman-Vural
2005	—	`conf`	ORF-NT: An Object-Based Image Retrieval Framework Using Neighborhood Trees. ISCIS Mutlu Uysal, Fatos T. Yarman-Vural
2005	—	`conf`	Shape Similarity Measurement for Boundary Based Features. ICIAR Nafiz Arica, Fatos T. Yarman-Vural
2004	A*	`conf`	A content based image retrieval system based on the fuzzy ARTMAP architecture. ACM Multimedia Mutlu Uysal, Fatos T. Yarman-Vural
2004	—	`conf`	An Image Retrieval System Based on Region Classification. ISCIS Özge Can Özcanli, Fatos T. Yarman-Vural
2004	—	`conf`	Shape Recognition with Generalized Beam Angle Statistics. ISCIS Ömer Önder Tola, Nafiz Arica, Fatos T. Yarman-Vural
2003	—	`conf`	A Compact Shape Descriptor Based on the Beam Anlge Statistics. CIVR Nafiz Arica, Fatos T. Yarman-Vural
2003	J	`jnl`	BAS: a perceptual shape descriptor based on the beam angle statistics. Pattern Recognit. Lett. Nafiz Arica, Fatos T. Yarman-Vural
2003	J	`jnl`	Object-based image labeling through learning by example and multi-level segmentation. Pattern Recognit. Yaowu Xu, Pinar Duygulu, Eli Saber, A. Murat Tekalp, Fatos T. Yarman-Vural
2003	J	`jnl`	SASI: a generic texture descriptor for image retrieval. Pattern Recognit. Abdurrahman Çarkacioglu, Fatos T. Yarman-Vural
2003	—	`conf`	Selection of the Best Representative Feature and Membership Assignment for Content-Based Fuzzy Image Database. CIVR Mutlu Uysal, Fatos T. Yarman-Vural
2002	—	`conf`	A Perceptual Shape Descriptor. ICPR (3) Nafiz Arica, Fatos T. Yarman-Vural
2002	—	`conf`	Learning similarity space. ICIP (1) Abdurrahman Çarkacioglu, Fatos T. Yarman-Vural
2002	J	`jnl`	Optical Character Recognition for Cursive Handwriting. IEEE Trans. Pattern Anal. Mach. Intell. Nafiz Arica, Fatos T. Yarman-Vural
2001	J	`jnl`	An overview of character recognition focused on off-line handwriting. IEEE Trans. Syst. Man Cybern. Syst. Nafiz Arica, Fatos T. Yarman-Vural
2001	—	`conf`	Multilevel image segmentation and object representation for content-based image retrieval. Storage and Retrieval for Media Databases Pinar Duygulu, Fatos T. Yarman-Vural
2001	—	`conf`	SASI: a new texture descriptor for content based image retrieval. ICIP (2) Abdurrahman Çarkacioglu, Fatos T. Yarman-Vural
2000	B	`conf`	A Shape Descriptor Based on Circular Hidden Markov Mode. ICPR Nafiz Arica, Fatos T. Yarman-Vural
2000	Misc	`conf`	Object based image retrieval based on multi-level segmentation. ICASSP Yaowu Xu, Pinar Duygulu, Eli Saber, A. Murat Tekalp, Fatos T. Yarman-Vural
2000	J	`jnl`	One-dimensional representation of two-dimensional information for HMM based handwriting recognition. Pattern Recognit. Lett. Nafiz Arica, Fatos T. Yarman-Vural
1999	—	`conf`	A new HMM topology for shape recognition. NSIP Nafiz Arica, Fatos T. Yarman-Vural
1999	Misc	`conf`	Morphing as a Tool for Motion Modeling. ICIAP Serkan Genç, Fatos T. Yarman-Vural
1999	J	`jnl`	Repulsive attractive network for baseline extraction on document images. Signal Process. Erhan Öztop, Adem Yasar Mülayim, Volkan Atalay, Fatos T. Yarman-Vural
1998	—	`conf`	A Fast Color Quantization Algorithm using a Set of One Dimensional Color Intervals. ICIP (1) Mustafa Uysal, Fatos T. Yarman-Vural
1998	B	`conf`	A new scheme for off-line handwritten connected digit recognition. ICPR Nafiz Arica, Fatos T. Yarman-Vural
1998	—	`conf`	A new scheme for off-line handwritten connected digit recognition. KES (2) Nafiz Arica, Fatos T. Yarman-Vural
1998	—	`conf`	One Dimensional Representation of Two Dimensional Information for HMM based Handwritten Recognition. ICIP (2) Nafiz Arica, Fatos T. Yarman-Vural
1997	J	`jnl`	A heuristic algorithm for optical character recognition of Arabic script. Signal Process. A. Alper Atici, Fatos T. Yarman-Vural
1997	A	`conf`	Optical Character Recognition Without Segmentation. ICDAR Mehmet Ali Özdil, Fatos T. Yarman-Vural
1997	—	`conf`	Optical Character Recognition Without Segmentation. ICIAP (2) Mehmet Ali Özdil, Fatos T. Yarman-Vural, Nafiz Arica
1997	Misc	`conf`	Repulsive attractive network for baseline extraction on document images. ICASSP Erhan Öztop, Adem Yasar Mülayim, Volkan Atalay, Fatos T. Yarman-Vural
1997	—	`conf`	Similarity Measures for Binary and Grey Level Markov Random Field Textures. ICIAP (1) Abdurrahman Çarkacioglu, Fatos T. Yarman-Vural
1988	J	`jnl`	Modified condensed nearest neighbor rule as applied to speaker independent word recognition. Speech Commun. N. Yalabik, Fatos T. Yarman-Vural, A. Mansur
1987	J	`jnl`	Noise, histogram and cluster validity for Gaussian-mixtured data. Pattern Recognit. Fatos T. Yarman-Vural, Ergin Ataman
1985	J	`jnl`	An efficient and order-recursive algorithm for estimating stationary ARMA models. IEEE Trans. Acoust. Speech Signal Process. Fatos T. Yarman-Vural

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.