M.S. Theses: Recent submissions

  • Analysis and regularization of deep generative second order ordinary differential equations 
    Koyuncu, Batuhan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Deep generative models aim to learn processes that are assumed to generate the data. To this end, deep latent variable models use probabilistic frameworks to learn a joint probability distribution over the data and its ...
  • An autonomous area coverage method for endoscopic capsule robots 
    Çelik, İbrahim Ömer. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Endoscopic examination with actively steerable capsule robots is an emerging technology for the diagnosis of various cancer types and many other gastrointestinal diseases such as Crohn's disease, ulcerative colitis, and ...
  • A defect prediction method for software versioning 
    Kastro, Yomi. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    Software lifecycle is becoming more human-independent with the help of new methodologies and tools. Many of the research in this field focus on defect reduction, defect identification and defect prediction. Defect prediction ...
  • Handover with network slicing in 5G networks 
    Sevim, Kübra. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    5G suggests many advantages but these advantages bring some problems to be solved. Network Slicing is one of the key concepts that 5G introduces. Slicing enables having multiple isolated virtual networks on top of the same ...
  • Modelling wave transformations using extended mild-slope equation and the radial basis function colloaction method 
    Manat, Onur. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    In this study, the extended mild-slope equation is modelled over different topogra phies using the Radial Basis Function Collocation Method. In the numerical model, the equation preserved its elliptic form and two related ...
  • Analysis of word dependency relations and subword models in abstractive text summarization 
    Özkan, Ahmet Beka. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Abstractive text summarization is an important task in natural language pro cessing. As there are too many textual materials becoming available in the digital world at an unprecedented speed, people begin to need automated ...
  • Using transformer networks for detection and normalization of named entities in biomedical texts 
    Pala, İlkay Ramazan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    The increasing difficulty of retrieving relevant information from rapidly growing literature has raised the interest for natural language processing (NLP) systems in the biomedical domain. In many of these systems, detection ...
  • Targeted drug design with warm start 
    Uludoğan, Gökçe. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    The generation of novel compounds targeting a protein of interest is a compelling task in the pharmaceutical industry. Deep generative models have been applied to targeted molecular design and have shown promising results. ...
  • A static analyzer and bug prediction engine for smart contracts 
    Gül, Ahmet. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    As blockchain solutions are becoming increasingly common, identifying potential bugs in smart contracts written in Solidity language is vital for these solutions to work accurately. To precisely detect these bugs, developers ...
  • A hybrid BERT-GAN system for protein - protein interaction extraction from biomedical text 
    Basmacı, Mert. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Considering the rapid increase in the biomedical literature, manual extraction of information regarding Protein-Protein Interactions (PPIs) becomes an exhausting task. Therefore, there is a strong need for the development ...
  • Morphologically motivated input variations in Turkish - English neural machine translation 
    Yirmibeşoğlu, Zeynep. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Success of neural networks in natural language processing has paved the way for neural machine translation (NMT), which rapidly became the mainstream approach in machine translation. Tremendous improvement in translation ...
  • Deep learning based recommendation system design 
    Şen, Seçil. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Recommendation systems are software tools that seek to suggest relevant items regarding user preferences. Preference might be any; text to read, product to buy, or anything depending on the industry. Since it’s vastly ...
  • Robot skill acquisition via representation sharing and reward conditioning 
    Akbulut, Mete Tuluhan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Skill acquisition is a character trait of intelligent behavior, which Robot Learning aims to give to robots. An effective approach is to teach an initial version of the skill by demonstrating as a form of Supervised Learning ...
  • Mathematical foundations of next generation wireless systems 
    Yılmaz, Hüseyin Birkan. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    The heterogeneous structure of Next Generation Wireless Systems (NGWS) makes admission control very complex. Accessibility of the subsystems at the time of connection or hando® request, availability of resources in the ...
  • Investigation of the metabolic changes in the adaptive evolution of S. Cerevisiae strains by using genome-scale metabolic models 
    Çetin, Handan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Increasing an organisms’ tolerance level to various stress conditions is one of the most common applications of adaptive laboratory evolution (ALE) experiments which provides high amounts of genomic and experimental data ...
  • Relation extraction for chemical and protein interactions from biomedical documents 
    Dönmez, Hilal. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    The sharing of chemical-protein interactions (CPI) with the scientific commu nities plays a crucial role in understanding the mechanisms of diseases, as well as in facilitating drug discovery and drug repurposing studies. ...
  • PUF-enhanced scalable RFID security and privacy 
    Kurt, Işıl. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Radio Frequency ldentification (RFID) is a very promising technology that enables the automatic identification of objects. However, it has some challenging issues such as scalability. Almost all of the existing solutions ...
  • Comparative analysis of case studies on legacy system migration in banking industry 
    Hayretci, H. Emre. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Advances in technology, changing customer requirements, and pressure from business goals are the main drivers for innovation in the banking industry. Legacy architectures with monolithic structures prevent banks from ...
  • Fair recommendation through conditioning on systematic presentation in recommender systems 
    Bozal, Özge. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Recommendation engines are interactive systems aiming to predict users’ top preferences according to their choices. A limitation of the recommender systems is that over time the recommendations get narrower in scope. That ...
  • Datasets and transformer models for cross-lingual relation classification 
    Köksal, Abdullatif. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Relation classification is one of the key topics in information extraction, which can be used to construct knowledge bases or to provide useful information for question answering. Current approaches for relation classification ...

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