• Temel Biyomekanik 

  Özkaya, Nihat; Nordin, Margareta; Goldsheyder, David; Leger, Dawn (TOBB ETÜ Yayınları, 2019-10)
• Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends 

  Jurca, G.;  Addam, O.;  Aksac, A.; Gao,S.; Özyer, Tansel;  Demetrick, D.;  Alhajj, R. (BioMed Central Ltd., 2016)

  Background: Breast cancer is a serious disease which affects many women and may lead to death. It has received considerable attention from the research community. Thus, biomedical researchers aim to find genetic biomarkers ...
• Boosting real-time recognition of hand posture and gesture for virtual mouse operations with segmentation 

  Ozturk, O.; Aksac, A.; Özyer, Tansel; Alhajj, R. (Springer New York LLC, 2015-06-09)

  The design and implementation of polylogarithmically or polynomially bounded algorithms on faster processors has gained popularity and attracted the attention of both researchers and practitioners. The evolution in the ...
• Classification of HIV data By Constructing A Social Network with Frequent Itemsets 

  Kocak, Yunuscan; Özyer, Tansel; Alhajj, Reda (IEEE, 2016)

  Acquired immune deficiency syndrome (AIDS) is the last and the most life-threatening phase of Human Immunodeficiency Virus (HIV) disease. HIV attacks and heavily affects the immune system of the body which remains unable ...
• IEEE 802.11 WLAN Based Real Time Indoor Positioning: Literature Survey and Experimental Investigations 

  Kul, Gokhan; Özyer, Tansel; Tavlı, Bülent (ELSEVIER Science BV, 2014)

  Indoor positioning has emerged as a hot topic that gained gradual interest from both academia and industry. Accurate estimation is necessitated in a variety of location-based services such as healthcare, repository tracking, ...
• Bitcoin movement prediction with text mining 

  Ceyhan, K.; Kurtulmaz, E.; Sert, O.C.; Özyer, Tansel (Institute of Electrical and Electronics Engineers Inc., 2018-07-05)

  In the last few years, Bitcoin is one of the most discussed and popular topic in financial system. This article aims to predict Bitcoin movement by using Machine Learning and Text Mining models. Many models have been used ...
• A comprehensive approach for validating p53 binding site predictions 

  Özyer, Tansel; Alhajj, R. (Institute of Electrical and Electronics Engineers Inc., 2017-10-20)

  Predicting the locations of Response Elements (RE) has received considerable attention in the field of gene sequence analysis and bioinformatics. Protein53 (p53) has a prominent role in the cell cycle and cancer prevention; ...
• Effectiveness of mobile electrocardiogram in healthcare: From mobile application and development to community reaction 

  Kassem, A.; Yldrm, U.O.; Turut, K.A.; Wiil U.K.; Özyer, Tansel; Alhajj, R. (Association for Computing Machinery, Inc., 2017-07-31)

  Chronic diseases such as heart and blood vessels are considered among the most common and serious reasons of mortality in the world. In Europe alone, over four million deaths a year (45% of all deaths) are caused by heart ...
• A Case Study for the Churn Prediction in Turksat Internet Service Subscription 

  Gok, Mehmet; Özyer, Tansel; Jida, Jamal (ASSOC Computing Machinery, 2015)

  Churn prediction is a customer relationship process that predicts for customers who are at the brink of transferring all the business to competitor. It is predicted by modeling customer behaviors in order to extract patterns. ...
• Prediction of influenza outbreaks by integrating Wikipedia article access logs and Google flu trend data 

  Bardak, B.; Tan, Mehmet (Institute of Electrical and Electronics Engineers Inc., 2015-12-28)

  Prediction of influenza outbreaks is of utmost importance for health practitioners, officers and people. After the increasing usage of internet, it became easier and more valuable to fetch and process internet search query ...
• An evolutionary approach for detecting communities in social networks 

  Ozturk, K.; Polat, F.; Özyer, Tansel (Association for Computing Machinery, Inc., 2017-07-31)

  Rapid development and wide usage of social networking applications have enabled large amounts of valuable data which can be analyzed for various reasons by companies, governments, non-profit organizations such as UN. This ...
• Periodicity detection in turkish stock market 

  Kurtulmaz, E.; Aziz, R.; Ucar, U.; Özyer, Tansel; Alhajj, R. (Institute of Electrical and Electronics Engineers Inc., 2018-07)

  This paper provides a periodicity detection sample of the Turkish Stock Market using data mining concepts and techniques. The extraction of periodic patterns from the time series databases is a captivating area in data ...
• Recent Advances in Counter PRNU Based Source Attribution and Beyond 

  Karakucuk, Ahmet; Dirik, Ahmet E.; Sencar, Hüsrev Taha; Memon, Nasir D. (SPIE-INT SOC Optical Engineering, 2015)

  Photo response noise uniformity (PRNU) based source attribution has proven to be a powerful technique in multimedia forensics. The increasing prominence of this technique, combined with its introduction as evidence in the ...
• Integrating SOM and fuzzy k-means clustering for customer classification in personalized recommendation system for non-text based transactional data 

  Dhaliwal, S.; Van, N.N.; Dhaliwal, M.; Rokne J.; Alhajj, R.; Özyer, Tansel (Institute of Electrical and Electronics Engineers Inc., 2017-05-17)

  The world of e-commerce is reshaping marketing strategies based on the analysis of e-commerce data. Huge amounts of data are being collecting and can be analyzed for some discoveries that may be used as guidance for people ...
• From social media analysis to ubiquitous event monitoring: The case of Turkish tweets 

  Erdogan, A.E.; Ylmaz, T.; Sert, O.C.; Akyüz, M.; Özyer, Tansel; Alhajj, R. (Association for Computing Machinery, Inc., 2017-07-31)

  The work described in this paper illustrates how social media is a valuable source of data which may be processed for informative knowledge discovery which may help in better decision making. We concentrate on Twitter as ...
• Drug sensitivity prediction for cancer cell lines based on pairwise kernels and miRNA profiles 

  Tan, Mehmet (Institute of Electrical and Electronics Engineers Inc., 2014-12-29)

  Cancer cell lines comprise an important tool to design and evaluate new drug candidates. Prediction of in vivo drug response for cancer cell lines has become attractive due to recently issued large scale drug screen ...
• Evaluation of partner companies based on fuzzy inference system for establishing virtual enterprise consortium 

  Nikghadam, S.; LotfiSadigh, B.; Özbayoğlu, Ahmet Murat; Ünver, Hakkı Özgür; Kilic, S.E. (Springer Verlag, 2015)

  Virtual Enterprise (VE) is one of the growing trends in agile manufacturing concepts. Under this platform companies with different skills and core competences are cooperate with each other in order to accomplish a manufacturing ...
• Partner selection in formation of virtual enterprises using fuzzy logic 

  Nikghadam, S.; Sadigh, B.L.; Özbayoğlu, Ahmet Murat; Ünver, Hakkı Özgür; Kilic, S.E. (SciTePress, 2015)

  Virtual Enterprise (VE) is a temporary cooperation among independent enterprises to build up a dynamic collaboration framework for manufacturing. One of the most important steps to construct a successful VE is to select ...
• Load and PV Generation Forecast Based Cost Optimization for Nanogrids with PV and Battery 

  Gudelek, M.U.; Cirak, C.R.; Arin, E.; Sezgin M.E.; Özbayoğlu, Ahmet Murat; Gol, M. (Institute of Electrical and Electronics Engineers Inc., 2018-11-20)

  Power system resiliency and robustness became major concerns of the system operators and researchers after the introduction of the smart grid concept. The improvements in the battery storage systems (BSS) and the photovoltaic ...
• Optimized GPU implementation of JPEG 2000 for satellite image decompression 

  Ufuk, D.U.; Temizel, A.; Özbayoğlu, Ahmet Murat (Institute of Electrical and Electronics Engineers Inc., 2018-12-24)

  JPEG 2000 is a powerful yet computationally complex image compression algorithm which is widely used in remote sensing applications. In this work, we focus on speeding-up the decompression algorithm by applying various GPU ...

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