• Semantically Enriched Task and Workflow Automation in Crowdsourcing for Linked Data Management 

  Basharat, A.; Arpinar, I.B.; Dastgheib, S.; Kursuncu, U.; Kochut, K.; Doğdu, Erdoğan (World Scientific Publishing Co. Pte Ltd, 2014-12)

  Crowdsourcing is one of the new emerging paradigms to exploit the notion of human-computation for harvesting and processing complex heterogenous data to produce insight and actionable knowledge. Crowdsourcing is task-oriented, ...
• Social Networks and Surveillance for Society 

  Özyer, Tansel; Bakshi, Sambit; Alhajj, Reda; TOBB ETU, Faculty of Engineering, Department of Computer Engineering; TOBB ETÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü; Özyer, Tansel; 143116 (Springer International Publishing, 2019-01)
• Brilliant blue G assisted macular surgery: the effect of air infusion on contrast recognisability in internal limiting membrane peeling 

  Totan, Yuksel; Guler, Emre; Guragac, Fatma B.; Uzun, Erkam; Doğdu, Erdoğan (BMJ Publishing Group, 2015-01)

  Background To evaluate the potential efficacy and safety of inner limiting membrane (ILM) staining with brilliant blue G (BBG) under air infusion. Methods 63 patients, treated by one surgeon with macular hole or idiopathic ...
• Travma ve Anestezi 

  Ökten, Feyhan; Özlü, Onur; Teltik Başar, Hülya (Hipokrat Kitabevi - Tıp Kitapları, 2019)
• From Security to Community Detection in Social Networking Platforms 

  Karampelas, Panagiotis;  Kawash, Jalal;  Ozyer, Tansel; TOBB ETU, Faculty of Engineering, Department of Computer Engineering; TOBB ETÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü; Özyer, Tansel; 143116 (Springer International Publishing, 2019-01)
• Machine Learning Techniques for Online Social Networks 

  Özyer, Tansel;  Alhajj, Reda; TOBB ETU, Faculty of Engineering, Department of Computer Engineering; TOBB ETÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü; Özyer, Tansel; 143116 (Springer International Publishing, 2018)
• A Fully Unsupervised Framework for Scoring Driving Style 

  Ozgul, Ozan Firat; Cakir, Mehmet Ulas; Tan, Mehmet; Amasyali, Mehmet Fatih; Hayvacı, Harun Taha (IEEE, 2018)

  Rating driving performance is a challenging topic. It attracts professionals from a variety of domains such as automotive industry and insurance companies. In this work, we propose a fully unsupervised driver scoring ...
• UAV Base Station Location Optimization for Next Generation Wireless Networks: Overview and Future Research Directions 

  Çicek, Cihan Tuğrul; Gültekin, Hakan; Tavlı, Bülent; Yanıkömeroğlu, Halim (IEEE, 2019)

  Unmanned aerial vehicles mounted base stations (UAV-BSs) are expected to become one of the significant components of the Next Generation Wireless Networks (NGWNs). Rapid deployment, mobility, higher chances of unobstructed ...
• Yazılım Davranışlarının Dinamik Olarak Değiştirilebilmesini Sağlayan Yeni Bir Yaklaşım 

  Gerede, Çağdaş Evren (CEUR-WS, 2018-09)

  Nowadays software provided over web and mobile platforms can be frequently updated. W i t h updates the behavior of software changes. Certain behaviors can cause undesired damages. Therefore, the correc¬ tion of incorrect ...
• Computational intelligence models for PIV based particle (cuttings) direction and velocity estimation in multi-phase flows 

  Tombul, H.; Özbayoğlu, Ahmet Murat; Özbayoğlu, M.E. (Elsevier B.V., 2019)

  In multi-phase flow, the gas phase, the liquid phase and the particles (cuttings) within the liquid have different flow behaviors. Particle velocity and particle direction are two of the important aspects for determining ...
• On Hedonic Games with Common Ranking Property 

  Çaşkurlu, Buğra; Kızılkaya, Fatih Erdem (Springer Verlag, 2019)

  Hedonic games are a prominent model of coalition formation, in which each agent’s utility only depends on the coalition she resides. The subclass of hedonic games that models the formation of general partnerships [21], ...
• Minimization of Testing Costs in Capacity-Constrained Database Migration 

  Subramani, K.; Çaşkurlu, Buğra; Velasquez, A. (Springer Verlag, 2019)

  Database migration is an ubiquitous need faced by enterprises that generate and use vast amount of data. This is due to database software updates, or from changes to hardware, project standards, and other business factors ...
• Financial Forecasting using Deep Learning with an Optimized Trading Strategy 

  Maratkhan, A.; Ilyassov, I.; Aitzhanov, M.; Demirci, Muhammed Fatih; Özbayoğlu, Ahmet Murat (Institute of Electrical and Electronics Engineers Inc., 2019)

  Financial forecasting using computational intelligence nowadays remains a hot topic. Recent improvements in deep neural networks allow us to predict financial market behavior. In our work we first implement a novel approach ...
• Perceptions, Expectations and Implementations of Big Data in Public Sector 

  Dogdu, Erdogan; Özbayoglu, Murat; Yazici, Ali; Karakaya, Ziya (Institute of Electrical and Electronics Engineers Inc., 2019-12)

  Big Data is one of the most commonly encountered buzzwords among IT professionals nowadays. Technological advancements in data acquisition, storage, telecommunications, embedded systems and sensor technologies resulted in ...
• Tackling in-camera downsizing for reliable camera id verification 

  Tandoğan, Sinan E.;  Altınışık, Enes;  Sarimurat, Salim;  Sencar, Hüsrev Taha (Society for Imaging Science and Technology, 2019-01)

  The photo-response non-uniformity (PRNU) of an imaging sensor can be regarded as a biometric identifier unique to each camera. This modality is referred to as camera ID. The underlying process for estimating and matching ...
• Drug response prediction by ensemble learning and drug-induced gene expression signatures 

  Tan, Mehmet; Özgül, Ozan Fırat; Bardak, Batuhan; Ekşioğlu, Işıksu; Sabuncuoğlu, S. ( Academic Press Inc., 2019-09)

  Chemotherapeutic response of cancer cells to a given compound is one of the most fundamental information one requires to design anti-cancer drugs. Recently, considerable amount of drug-induced gene expression data has ...
• Classification of Turkish Documents Using Paragraph Vector 

  Sarı, Mustafa; Özbayo?lu, Ahmet Murat ( Institute of Electrical and Electronics Engineers Inc., 2018)

  Text processing and mining gained a lot of traction recently due to rising interest in integration of Natural Language Processing with data analytics algorithms, in particular Deep Learning Models. In this study, newspaper ...
• A First Look at the Usability of OpenVAS Vulnerability Scanner 

  Aksu, M. Ugur; Altuncu, Enes; Bıçakçı, Kemal (NDSS, 2019-02)

  Vulnerability scanning is a fundamental step for assuring system security. It is also an integral component of IT system risk assessment to manage the identified vulnerabilities in a timely and prioritized way. It is ...
• The effects of pelvic floor muscle therapy on symptoms, voiding, and pelvic floor muscle activity parameters in children with overactive bladder 

  Pekbay, Yelda; Ergin, Oğuz; Topuz, Bahadır; Sarıkaya, Selçuk; Acar, Zeynep Zübeyde; Irkilata, Hasan Cem; Dayanç, Murat (WILEY, 2019-06)

  Introduction Refractory overactive bladder (OAB) in children can be treated with second line modalities such as as biofeedback, transcutaneous electrical stimulation (TENS), and botulinum toxin. In this study, we aimed to ...
• MIS-IoT: Modular Intelligent Server Based Internet of Things Framework with Big Data and Machine Learning 

  Onal, Aras Can; Sezer, Omer Berat; Özbayoglu, Murat; Dogdu, Erdogan (Institute of Electrical and Electronics Engineers Inc., 2019-01)

  Internet of Things world is getting bigger everyday with new developments in all fronts. The new IoT world requires better handling of big data and better usage with more intelligence integrated in all phases. Here we ...

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