Bilgisayar Mühendisliği: Recent submissions

  • Using machine learning to improve automated test generation 
    Köroğlu, Yavuz. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Underestimating the value of software testing had catastrophic results in recent history. Automated Test Generation (ATG) is an approach that aims to minimize the manual effort required for testing. This thesis aims to ...
  • Algorithms for learning from online human behavior and human interaction with learning algorithms 
    Çapan, Gökhan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    In modern digital systems, algorithms that deliver personalized content shape the user experience and affect user satisfaction, hence long-term engagement with the system. What the system presents also influences the parties ...
  • Unsupervised 
    Başaran, Osman Tugay. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Stress is one of the most important problems of today. Although it seems to be a part of modern human life, it is known to cause serious health problems. Many researchers from different disciplines have been working on ...
  • Robustness and resilience of deep neural networks 
    Buldu, Abdullah Murat. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Deep Neural Networks (DNN) are used extensively to solve challenging problems in computer vision, natural language processing, and speech recognition. However, recent studies such as adversarial attacks show that high ...
  • Generating goal models from user stories 
    Güneş, Tuğçe. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Natural language (NL) is used to express stakeholder requirements since it requires less time and energy. There are several ways to collect requirements, and user stories are an example of a semi-structured format. They ...
  • A comparative evaluation of machine learning algorithms for statistical downscaling of monthly mean temperature data over European region 
    Eser, Günay. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Climate change is the most vital environmental change that has already started to affect many ecosystems. It is caused by greenhouse gas emissions which are increasing since the pre- industrial era, and populated areas ...
  • Bidirectional scheduling for Wi-Fi 6 (IEEE (802.11ax) networks 
    Dilmaç, Abdurrahman. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    In recent years, Wi-Fi, along with Broadband Wireless, has been at the center of wireless communication. End-users owning laptops, tablets, and mobile phones enjoyed connected mobility. This massive adaptation brought more ...
  • Achieving ultra-reliable low-latency communication (URLLC) in next-generation cellular networks with programmable data planes 
    Gökarslan, Kerim. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Recent advancements in wireless technologies towards the next- generation cellular networks have brought a new era that made it possible to apply cellular technology on traditionally-wired networks with tighter requirements, ...
  • Source localization for molecular communication via diffusion 
    Yetimoğlu, Oğuzhan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Molecular communication is a type of communication that provides communication in mediums such as underwater, where traditional communication paradigms are insufficient, and in which information is carried by molecules in ...
  • Stress measurement and regulation in real-life using affective technologies 
    Chalabianloo, Niaz. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Stress has become one of the main contributors to serious mental and physical health issues in today’s world. Existing works in the literature have used Psychophysi ological measures and proposed numerous mechanisms to ...
  • Parallel network flow algorithms 
    Kara, Gökçehan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Network flows is an active area of research that has applications in a wide variety of fields. Several network flow problems are reduced to either the maximum flow problem or the minimum cost flow problem. Maximum flow ...
  • Deep learning-based dependency parsing for Turkish 
    Bilgin, Şaziye Betül. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Dependency parsing is an important step for many natural language processing (NLP) systems such as question answering and machine translation. Turkish, being a morphologically rich language and having a complex grammar, ...
  • A common subexpression elimination-based compression method for the constant matrix multipication 
    Bilgili, Emre. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    The execution time, resource and energy costs of deep learning applications become much more important as their popularity grows. The Constant Matrix Multi plication has been studied for a long time and takes place in deep ...
  • An ontology based representation of semantic annotations for biomedical relations extracted from scientific documents 
    Ataman, Berkay. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    The sheer volume of scienti c literature challenges researchers to identify and utilize the knowledge embedded in them and makes automated extraction and process ing necessary. Automated processing becomes especially signi ...
  • Prioritization driven task offloading in uav-aided sofware- defined networks 
    Kalınağaç, Onur. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Under demanding operational conditions such as traffic surges, coverage issues, very-low latency requirements, or security concerns, terrestrial cellular networks may become inadequate to provide the expected service levels ...
  • A seq2seq transformer model for Turkish spelling correction 
    Batmaz, Şahin. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Natural language processing (NLP) is a fascinating area of artificial intelligence. It allows humans to interact with machines through natural language. There are two main concepts in NLP model architectures, namely input ...
  • A comprehensive analysis of subword tokenizers for morphologically rich languages 
    Erkaya, Erencan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Transformer language models have paved the way for outstanding achievements on a wide variety of natural language processing tasks. The first step in transformer models is dividing the input into tokens. Over the years, ...
  • Electanon : a blockchain-based, anonymous, robust and scalable ranked-choice voting protocol 
    Onur, Ceyhun. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Remote voting has become more critical in recent years, especially after the Covid-19 outbreak. Blockchain technology and its benefits like decentralization, se curity, and transparency have encouraged remote voting systems ...
  • Unsupervised routing strategies for conditional deep neural networks 
    Meral, Tuna Han Salih. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Deep convolutional neural networks are considered state-of-the- art solutions due to their high classification performance in image classification tasks. The apparent drawback is the amount of computing power required to ...
  • Empowering heterogeneous networks for drug-target affinity prediction 
    Parlar, Selen. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Predicting drug-target binding affinity is a critical phase in computer-aided drug design, which can help accelerate the drug development process and reduce experimen tal validation costs caused by the significant ...

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