• Medium access control and routing in industrial wireless sensor networks 

  Erman, Ayşegül Tüysüz; İncel, Özlem Durmaz (CRC Press, 2017-01-01)

  Wireless Sensor Networks (WSNs) appear as a promising solution for industrial applications, especially for monitoring purposes, due to the advantages that they provide [19]. First of all, they overcome the wiring constraints ...

• GSPIM: Graphical visualization tool for MIPS assembly programming and simulation 

  Borunda, Patrick; Brewer, Chris; Erten, Cesim (2007)

  We describe our system, GSPIM, used for visualization of low-level MIPS Assembly programming and simulation. Although many visualization tools for algorithms and high-level programs have been considered in educational ...

• SPD (Static Priority with Deadline considerations) packet scheduling algorithm for achieving better QoS 

  Daǧ, Tamer (IEEE, 2007)

  Providing quality of service (QoS) to applications with different traffic characteristics based on their needs is an important research area for today's and tomorrow's high speed networks. Various techniques have been ...

• Feature extraction from discrete attributes 

  Yıldız, Olcay Taner (IEEE, 2010)

  In many pattern recognition applications, first decision trees are used due to their simplicity and easily interpretable nature. In this paper, we extract new features by combining k discrete attributes, where for each ...

• Bilingual software requirements tracing using vector space model 

  Yıldız, Olcay Taner; Okutan, Ahmet; Solak, Ercan (SciTePress, 2014)

  In the software engineering world, creating and maintaining relationships between byproducts generated during the software lifecycle is crucial. A typical relation is the one that exists between an item in the requirements ...

• Constructing a Turkish-English parallel treebank 

  Yıldız, Olcay Taner; Solak, Ercan; Görgün, Onur; Ehsani, Razieh (Association for Computational Linguistics (ACL), 2014)

  In this paper, we report our preliminary efforts in building an English-Turkish parallel treebank corpus for statistical machine translation. In the corpus, we manually generated parallel trees for about 5,000 sentences ...

• Multivariate statistical tests for comparing classification algorithms 

  Yıldız, Olcay Taner; Aslan, Özlem; Alpaydın, Ethem (Springer, Berlin, Heidelberg, 2011)

  The misclassification error which is usually used in tests to compare classification algorithms, does not make a distinction between the sources of error, namely, false positives and false negatives. Instead of summing ...

• On the VC-dimension of univariate decision trees 

  Yıldız, Olcay Taner (2012)

  In this paper, we give and prove lower bounds of the VC-dimension of the univariate decision tree hypothesis class. The VC-dimension of the univariate decision tree depends on the VC-dimension values of its subtrees and ...

• Mixture of Gaussian models and bayes error under differential privacy 

  Xi, Bowei; Kantarcıoğlu, Murat; İnan, Ali (2011)

  Gaussian mixture models are an important tool in Bayesian decision theory. In this study, we focus on building such models over statistical database protected under differential privacy. Our approach involves querying ...

• E-learning and microformats: A learning object harvesting model and a sample application 

  Soylu, Ahmet; Kuru, Selahattin; Wild, Fridolin; Mödritscher, Felix (2008)

  In order to support interoperability of learning tools and reusability of resources, this paper introduces a framework for harvesting learning objects from web-based content. Therefore, commonly-known web technologies are ...

• Efficient privacy-aware record integration 

  Kuzu, Mehmet; Kantarcıoğlu, Murat; İnan, Ali; Bertino, Elisa; Durham, Elizabeth Ashley; Malin, Bradley A. (2013)

  The integration of information dispersed among multiple repositories is a crucial step for accurate data analysis in various domains. In support of this goal, it is critical to devise procedures for identifying similar ...

• A novel regression method for software defect prediction with kernel methods 

  Okutan, Ahmet; Yıldız, Olcay Taner (2013)

  In this paper, we propose a novel method based on SVM to predict the number of defects in the files or classes of a software system. To model the relationship between source code similarity and defectiveness, we use SVM ...

• Univariate margin tree 

  Yıldız, Olcay Taner (Springer, 2010)

  In many pattern recognition applications, first decision trees are used due to their simplicity and easily interpretable nature. In this paper, we propose a new decision tree learning algorithm called univariate margin ...

• Statistical tests using hinge/ε-sensitive loss 

  Yıldız, Olcay Taner; Alpaydın, Ethem (Springer-Verlag, 2013)

  Statistical tests used in the literature to compare algorithms use the misclassification error which is based on the 0/1 loss and square loss for regression. Kernel-based, support vector machine classifiers (regressors) ...

• Biclustering expression data based on expanding localized substructures 

  Erten, Cesim; Sözdinler, Melih (Springer-Verlag Berlin Heidelberg, 2009)

  Biclustering gene expression data is the problem of extracting submatrices of genes and conditions exhibiting significant correlation across both the rows and the columns of a data matrix of expression values. We provide ...

• An interoperability infrastructure for distributed feed networks 

  Wild, Fridolin; Siguroarson, Steinn E.; Sobernig, Stefan; Stahl, Christina; Soylu, Ahmet; Rebas, Vahur; Gárka, Dariusz; Danielewska-Tułecka, Anna; Tapiador, Antonio (2007)

  Blogs have the affordance to become an integral part of teaching and learning processes as a vehicle for knowledge management. Open, flexible systems integrating blogs provide user-friendly, personalised microlearning ...

• ICamp - The educational web for higher education 

  Kieslinger, Barbara; Wild, Fridolin; Arsun, Onur İhsan (Springer Verlag, 2006)

  iCamp is an EC-funded research project in the area of Technology Enhanced Learning (TEL) that aims to support collaboration and social networking across systems, countries and disciplines in higher education. The concept ...

• Infrastructure assisted data dissemination for vehicular sensor networks in metropolitan areas 

  Erman, Ayşegül Tüysüz; Schwartz, Ramon S.; Dilo, Arta; Schölten, Hans J.; Havinga, Paul (IGI Global, 2012)

  Vehicular Sensor Networks (VSNs) are an emerging area of research that combines technologies developed in the domains of Intelligent Transport Systems (ITS) and Wireless Sensor Networks. Data dissemination is an important ...

• A designing practice and two coding practices for extreme programming (XP) 

  Yıldız,Mustafa; Kuru, Selahattin (Springer Verlag, 2003)

  This paper introduces three new XP practices and reports the experience of applying them to web based software development. These are issue- based programming, comment-first coding and just in time code ownership. The ...

• An incremental model selection algorithm based on cross-validation for finding the architecture of a Hidden Markov model on hand gesture data sets 

  Yıldız, Olcay Taner; Ulaş, Aydın (IEEE, 2009-12-13)

  In a multi-parameter learning problem, besides choosing the architecture of the learner, there is the problem of finding the optimal parameters to get maximum performance. When the number of parameters to be tuned increases, ...

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