Browsing Ph.D. Theses by Title

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  • Hardware / software partitioning for custom instruction processors 
    Atasu, Kubilay. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    In this thesis, we describe an integer linear programming (ILP) based system called CHIPS for identifying custom instructions given the available data bandwidth and transfer latencies between the base processor and the ...
  • Human activity recognition with wireless sensor networks using machine learning 
    Alemdar, Hande. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Recognizing human behavior in an automated manner is essential in many ambient intelligence applications such as smart homes, health monitoring applications and emergency services. In order to make such long term health ...
  • Improving performance of defect predictors using confirmation bias metrics 
    Çalıklı, Handan Gül. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2012.)
    Software defect prediction models help managers to prioritize their testing effort. Algorithms, which are used to learn defect predictors, have reached a ceiling such that further improvements may only come from increasing ...
  • Improving text classification performance with the analysis of lexical dependencies and class-based feature selection 
    Özgür, Levent. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    In this thesis, we present a comprehensive analysis of the feature extraction and feature selection techniques for the text classification problem in order to achieve more successful results using much smaller feature ...
  • Improving the performance of software defect predictors with internal and external information sources 
    Turhan, Burak. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    In this dissertation, we make an analysis of software defect prediction problem from a data mining perspective, where software characteristics are represented with static code features and defect predictors are learned ...
  • Incremental construction of cost-conscious ensembles using multiple learners and representations in machine learning 
    Ulaş, Mehmet Aydın. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    In this thesis, the main purpose is to combine multiple models to increase accuracy, while at the same time keeping a check on complexity. Towards this aim, we propose two methods, and these methods are tested by simulations ...
  • Integrating morphology into automatic speech recognition: morpholexical and discriminative language models for Turkish 
    Sak, Haşim. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    Languages with agglutinative or in ectional morphology have proven to be challenging for speech and language processing due to relatively large vocabulary sizes leading to a high number of out-of-vocabulary (OOV) words. ...
  • Job scheduling for heterogeneous supercomputers 
    Soner, Seren. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    This thesis addresses the job scheduling problem for heterogeneous supercomputers where accelerators such as GPGPUs or co-processors are employed. On homogeneous supercomputers, the problem of scheduling user jobs to the ...
  • Load balanced forwarding in multimedia wireless sensor networks 
    Işık, Sinan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    Congestion is a challenging problem in wireless sensor networks which exacerbates with the high volume of data traffic imposed by video applications that are enabled by the evolution of low-cost camera hardware. In this ...
  • Localized multiple kernel algorithms for machine learning 
    Gönen, Mehmet. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    In recent years, several multiple kernel learning methods have been proposed in the machine learning literature. Different kernels correspond to different notions of similarity and multiple kernel learning can be used to ...
  • Medium access control layer performance ıssues in wireless sensor networks 
    Demirkol, İlker Seyfettin. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    Wireless sensor networks (WSNs) present a promising technology for many applications providing an intelligent and remote observation of a destination. Among the various potential applications, there are health monitoring, ...
  • Model driven security framework for software design and verification 
    Deveci, Engin. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Information system security is receiving increasing attention every day because a security problem can cause serious nancial loss or even loss of lives. Some of these security problems occur as a result of poor design ...
  • Modelling software reliability using Hybrid Bayesian networks 
    Tosun, Ayşe. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    In this research, we analyse the problem of predicting software reliability from AI perspective. We observe that existing models are built based on expert knowledge including de ning a set of metrics through surveys and ...
  • Multi-resolution model plus correction paradigm for task and skill refinement on autonomous robots 
    Meriçli, Çetin. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    Robots need to be taught what type of tasks or skills they are expected to perform, and how to perform those particular tasks or skills. However, there is no universally accepted single approach for transferring the task ...
  • Multi-view feature extraction based on canonical correlation analysis 
    Şakar, Cemal Okan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Canonical Correlation Analysis (CCA) aims at identifying linear dependencies between two sets of variables. CCA has recently become popular in the eld of machine learning with the increase in the number of multi-view ...
  • Multicasting for all-optical multifiber networks 
    Köksal, Fatih. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    We propose to use a layered graph approach, which has been previously proposed for unicasting, to have a more general, realistic and flexible model of an all-optical multifiber network for multicasting. This new presentation ...
  • Network-centric warfare communications with wireless sensor networks and data fusion 
    Önel, Tolga. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    In this thesis we aim to design efficient algorithms for wireless ad hoc sensor networks that are supporting network-centric warfare operations. These algorithms should conform to the hard end to end QoS requirements. They ...
  • Neural named entity recognition for morphologically rich languages 
    Güngör, Onur. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Named entity recognition (NER) is an important task in natural language pro cessing (NLP). Until the revival of neural network based models for NLP, NER taggers employed traditional machine learning approaches or finite-state ...
  • New dynamic group key agreement protocols and their formal analysis and applications 
    Ermiş, Orhan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    The essence of dynamic group key agreement protocols is to help compute a secure key for a group communication with a dynamic set of participants in distributed systems. Dynamic group key agreement protocols are expected ...
  • Nonuniformity in wireless sensor networks 
    Koşar, Rabun. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    Deemed as suitable for various challenging sensing tasks, wireless sensor networks evolve as candidates for deployment to different environments to perform the given task for as long as possible. Those networks operate ...

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