• Temel Biyomekanik 

  Özkaya, Nihat; Nordin, Margareta; Goldsheyder, David; Leger, Dawn (TOBB ETÜ Yayınları, 2019-10)
• 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 ...
• 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 ...
• 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 ...
• 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 ...
• 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 ...
• 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 ...
• 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; ...
• Multi-Scale Modularity and Motif Distributional Effect in Metabolic Networks 

  Gao, Shang; Chen, Alan; Rahmani, Ali; Zeng, Jia; Tan, Mehmet; Alhajj, Reda; Rokne, Jon; Demetrick, Douglas; Wei, Xiaohui (BENTHAM Science Publ. Ltd., 2016)

  Metabolism is a set of fundamental processes that play important roles in a plethora of biological and medical contexts. It is understood that the topological information of reconstructed metabolic networks, such as modular ...
• Predicting drug activity by image encoded gene expression profiles 

  Ozgul, O.F.; Bardak, B.; Tan, Mehmet (Institute of Electrical and Electronics Engineers Inc., 2018-07-05)

  Developing personalized cancer treatment procedures requires a prior knowledge on the effects of different drugs on cancer cell lines. While obtaining this information in vitro is a tedious task, the emergence of numerous ...
• Feature diverse hierarchical classification of human gait with CW radar for assisted living 

  Seyfioğlu, M.S.; Serinöz, A.; Özbayoğlu, Ahmet Murat; Gürbüz, S.Z. (Institution of Engineering and Technology, 2017-10-26)

  Activity recognition and estimation of gait parameter are medically essential components of remote health monitoring systems that can improve quality of life, enable personalized treatments, acquire continual medical data ...
• Anti-cancer Drug Activity Prediction by Ensemble Learning 

  Tolan, Ertan; Tan, Mehmet (SCITEPRESS, 2016)

  Personalized cancer treatment is an ever-evolving approach due to complexity of cancer. As a part of personalized therapy, effectiveness of a drug on a cell line is measured. However, these experiments are backbreaking and ...

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