Recent Submissions

  • Pragmatics in human-computer conversations 

    Saygin, A. P.; Cicekli, I. (Elsevier, 2002-03)
    This paper provides a pragmatic analysis of some human-computer conversations carried out during the past six years within the context of the Loebner Prize Contest, an annual competition in which computers participate in ...
  • 3D Model compression using Connectivity-Guided Adaptive Wavelet Transform built into 2D SPIHT 

    Kose, K.; Cetin, A. E.; Gudukbay, U.; Onural, L. (Elsevier, 2010-01)
    Connectivity-Guided Adaptive Wavelet Transform based mesh compression framework is proposed. The transformation uses the connectivity information of the 3D model to exploit the inter-pixel correlations. Orthographic ...
  • SCALCE: boosting Sequence Compression Algorithms using Locally Consistent Encoding 

    Hach, F.; Numanagic, I.; Alkan, C.; Sahinalp, S. C. (Oxford University Press, 2012-10)
    Motivation: The high throughput sequencing (HTS) platforms generate unprecedented amounts of data that introduce challenges for the computational infrastructure. Data management, storage and analysis have become major ...
  • Cluster searching strategies for collaborative recommendation systems 

    Sengor Altingovde, I.; Subakan, O. N.; Ulusoy, O. (Elsevier, 2013-05)
    In-memory nearest neighbor computation is a typical collaborative filtering approach for high recommendation accuracy. However, this approach is not scalable given the huge number of customers and items in typical commercial ...
  • Smart markers for watershed-based cell segmentation 

    Koyuncu, C. F.; Arslan, S.; Durmaz, I.; Cetin Atalay, R.; Gunduz Demir, C. (Public Library of Science, 2012-11-12)
    Automated cell imaging systems facilitate fast and reliable analysis of biological events at the cellular level. In these systems, the first step is usually cell segmentation that greatly affects the success of the subsequent ...
  • Optimizing decomposition of software architecture for local recovery 

    Sozer, H.; Tekinerdogan, B.; Aksit, M. (Springer US, 2013-11-30)
    The increasing size and complexity of software systems has led to an amplified number of potential failures and as such makes it harder to ensure software reliability. Since it is usually hard to prevent all the failures, ...
  • A discretization method based on maximizing the area under receiver operating characteristic curve 

    Kurtcephe, M.; Guvenir, H. A. (World Scientific Publishing Company, 2013-02-21)
    Many machine learning algorithms require the features to be categorical. Hence, they require all numeric-valued data to be discretized into intervals. In this paper, we present a new discretization method based on the ...
  • Compiler-directed energy reduction using dynamic voltage scaling and voltage Islands for embedded systems 

    Ozturk, O.; Kandemir, M.; Chen, G. (IEEE, 2013-02)
    Addressing power and energy consumption related issues early in the system design flow ensures good design and minimizes iterations for faster turnaround time. In particular, optimizations at software level, e.g., those ...
  • Automatic categorization of Ottoman poems 

    Can, E. F.; Can, F.; Duygulu, P.; Kalpakli, M. (De Gruyter, 2014-04-08)
    Authorship attribution and identifying time period of literary works are fundamental problems in quantitative analysis of languages. We investigate two fundamentally different machine learning text categorization methods, ...
  • Architecting in global software engineering 

    Tekinerdogan, B.; Cetin, S. S.; Babar, M. A.; Lago, P.; Makio, J. (ACM New York, NY, USA, 2012-01)
    This paper summarizes the results of the First Workshop on Architecting in Global Software Engineering (GSE), which was organized in conjunction with the 6th International Conference on Global Software Engineering (ICGSE ...
  • Reflection on Turkish aspect-oriented software development workshop series 

    Tekinerdogan, B. (ACM New York, NY, USA, 2012-04-03)
    In the last decade aspect-oriented software development (AOSD) has gained a broad interest in both academic institutions and industry. Likewise, several international conferences and workshops have been organized around ...
  • Regression on feature projections 

    Guvenir, H. A.; Uysal, I. (Elsevier, 2000-06-10)
    This paper describes a machine learning method, called Regression on Feature Projections (RFP), for predicting a real-valued target feature, given the values of multiple predictive features. In RFP training is based on ...
  • Scene representation technologies for 3DTV - a survey 

    Alatan, A. Aydin; Yemez, Y.; Gudukbay, U.; Zabulis, X.; Muller, K.; Erdem, C.; Weigel, C.; Smolic, A. (IEEE, 2007-11)
    3-D scene representation is utilized during scene extraction, modeling, transmission and display stages of a 3DTV framework. To this end, different representation technologies are proposed to fulfill the requirements of ...
  • Great ape genetic diversity and population history 

    Prado Martinez, J.; Alkan, C.; Eichler, E. E.; Marques Bonet, T. (Nature Publishing Group, 2013-07-03)
    Most great ape genetic variation remains uncharacterized(1,2); however, its study is critical for understanding population history(3-6), recombination(7), selection(8) and susceptibility to disease(9,10). Here we sequence ...
  • Two novel multiway circuit partitioning algorithms using relaxed locking 

    Dasdan, A.; Aykanat, C. (IEEE, 1997-02)
    All the previous Kernighan–Lin-based (KL-based) circuit partitioning algorithms employ the locking mechanism, which enforces each cell to move exactly once per pass. In this paper, we propose two novel approaches for ...
  • A video-based text and equation editor for LaTeX 

    Oksuz, O.; Gudukbay, U.; Cetin, A. E. (Elsevier, 2008-09)
    In this paper we present a video based text and equation editor for LaTeX. The system recognizes what is written onto paper and generates the LaTeX code. Text and equations are written on a regular paper using a board ...
  • Ranking instances by maximizing the area under ROC curve 

    Guvenir, H. A.; Kurtcephe, M. (IEEE, 2013-10)
    In recent years, the problem of learning a real-valued function that induces a ranking over an instance space has gained importance in machine learning literature. Here, we propose a supervised algorithm that learns a ...
  • A signal transduction score flow algorithm for cyclic cellular pathway analysis, which combines transcriptome and ChIP-seq dataw 

    Isik, Z.; Ersahin, T.; Atalay, V.; Aykanat, C.; Cetin Atalay, R. (The Royal Society of Chemistry, 2012-09-11)
    Determination of cell signalling behaviour is crucial for understanding the physiological response to a specific stimulus or drug treatment. Current approaches for large-scale data analysis do not effectively incorporate ...
  • GLP: A cryptographic approach for group location privacy 

    Ashouri Talouki, M.; Baraani Dastjerdi, A.; Selcuk, A. A. (Elsevier, 2012-07-01)
    Recently, location privacy during the use of location-based services (LBSs) has raised considerable concerns. There is a wide literature on location privacy from the individual point of view; however, there exist only a ...
  • Foreword to the special issue on pattern recognition in remote sensing 

    Younan, N. H.; Aksoy, S. (IEEE, 2012-10)
    The nine papers in this special issue focus on covering different aspects of remote sensing image analysis. © 2012 IEEE

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