Browsing Ph.D. Theses by Title

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  • Fast high-dimensional temporal point processes with applications 
    Türkmen, Ali Caner. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Large sets of continuous-time discrete event streams are often in the focus of seismology, neuroscience, finance, behavioral science among other scientific and engi neering disciplines. In this work, we explore a set of ...
  • Filtering based defense mechanisms against DDOS attacks for core networks 
    Kalkan, Kübra. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    In this thesis, we present filtering based defense mechanisms against Distributed Denial of Service (DDoS) attacks for core networks. Initially, several filtering techniques are analyzed and their advantages and disadvantages ...
  • Finite and small - space automata with advice 
    Küçük, Uğur. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    Advice is a piece of trusted supplemental information that is provided to a computing device, in advance of its execution in order to extend its power beyond its limits and hence to assist it in its task. The content of ...
  • FPFM : a formal specification and verification framework for security policies in multi-domain mobile networks 
    Ünal, Devrim. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    We present a framework called Formal Policy Framework for Mobility (FPFM) for the specification and verification of domain and inter-domain security policies in a multi-domain mobile network environment. FPFM supports the ...
  • Gait analysis and fall risk assessment with wearable inertial sensors 
    Tunca, Can. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    The gold standards for gait analysis are instrumented walkways and camera based motion capture systems which are highly accurate, but require costly infrastruc ture and are only available in hospitals and specialized gait ...
  • Generalized tensor factorization 
    Yılmaz, Yusuf Kenan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    This thesis proposes a unified probabilistic framework for modelling multiway data. Our approach establishes a novel link between probabilistic graphical models and tensor factorization, that allows us to design arbitrary ...
  • Generating, ranking, and enacting commitment protocols 
    Günay, Akın. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.)
    Multiagent systems o er novel techniques to solve computational challenges that involve data interpretation, reasoning and decision making, without human intervention. An important aspect of every multiagent system is ...
  • Generative vs. discriminative models for vision based hand gesture recognition 
    Keskin, Cem. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    In this thesis, we focus on the problem of modelling sequential data, and particularly hand gestures. We approach the modelling problem using automata theory and theory of formal languages, which allows us to determine the ...
  • Green networking: from conventional to next generation heterogeneous cellular networks 
    Yiğitel, M. Aykut. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    Increasing energy costs drive the telecommunication service providers to become highly interested in energy efficient operations. The exponential growth in mobile data exchange which is further augmented by the rapid ...
  • 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, ...

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