Boğaziçi Üniversitesi Tezleri: Recent submissions

  • 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 ...
  • Biomolecular language processing for drug-target affinity prediction 
    Özçelik, Rıza. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Finding high-affinity protein-chemical pairs is a prominent stage of the drug discovery pipeline. However, the number of available proteins and chemicals forms an experimentally insurmountable combination space and ...
  • Attention modeling with temporal shift in sign language recognition 
    Çelimli, Ahmet Faruk. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Sign languages (SLs) are the main communication language of deaf people. They are visual languages that establish communication through multiple cues including hand gestures, upper-body movements and facial expressions. ...
  • SIMD extensions for ethereum virtual machine 
    Bozkurt, Aykut. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Ethereum and its smart contracts have been growing their popularity. Therefore, there is a need for higher transaction throughput in every other day. Ethereum Virtual Machine is a Turing-complete computer which executes ...
  • Example-dependent cost-sensitive gradient boosting machines for credit scoring 
    Kurtuluş, İlker. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Although most of machine learning algorithms try to minimize cost-insensitive losses, many real world applications require cost-sensitive approaches where misclassifi cation costs among classes differ from each other. In ...
  • Multi-layer network appoach in modeling epidemics in an urban town 
    Türker, Melikşah. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    The last two years have been an extraordinary time with the Covid-19 pandemic killing millions, affecting and distressing billions of people worldwide. Authorities took various measures such as turning school and work to ...
  • Solving Turkish math word problems by sequence-to-sequence encoder-decoder models 
    Gedik, Esin. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    It can be argued that solving math word problems (MWP) is a challenging task due to the semantic gap between natural language texts and mathematical equations. The main purpose of the task is to take a written math problem ...
  • A decentralized framework with dynamic and event-driven container orchestration at the edge 
    Özyar, Umut Can. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Persistent advancements are being made at a rapid pace on enabling edge com puting for the Internet of Things technology to capitalize on. Vendors and developers are exploring new techniques to smooth out the process of ...
  • Variance reduction in Markov chain Monte Carlo algorithms 
    Boyar, Onur. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    In a simulation study, the output of the simulation is used to estimate target parameters. The estimated parameters typically has a variance, which impacts the precision of the estimation. In Monte Carlo simulations, the ...
  • A gan-based hybrid data augmentation framework on chest x-ray images and reports 
    Özfidan, Hasan Berat. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Classical data augmentation techniques are widely used by many image classifi cation applications in the absence of adequate training data. These data augmentation techniques consists of but not limited with reflection, ...
  • Parallel analysis of blockchain transaction graphs 
    Kılıç, Baran. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Blockchain is more prominent in the finance sector than ever. Stablecoins build a bridge between traditional finance ecosystems and the blockchain ecosystem. Ma jor payment processors adopt cryptocurrency solutions and ...

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