M.S. Theses: Recent submissions

  • 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 ...
  • Driver behavior modeling 
    Dal, Ferhat Melih. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Autonomous vehicles are set to be a part of everyday traffic. Their presence in traffic dominated by humans possesses some challenges. Any experience with driving in traffic shows us that each driver is unique in their ...
  • Detection of free-standing conversational groups with graph convolutional networks 
    Atıcı, Efehan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Automatically detecting conversational groups from video footage is a very in triguing and practical research area with applications in video activity recognition and human-robot interaction. Therefore, there is a critical ...
  • Data augmentation on chest x-rays for improving pathology classification performance 
    Adıgüzel, Onur. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    In recent years, deep learning techniques have made great progress. We can see applications of it in many fields such as economics, military, healthcare, and so on. Healthcare, in particular, is one of the most critical ...
  • Predicting intracellular functions of proteins from amino acid sequences using language processing methods 
    Çaldır, Bedirhan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Rapidly increasing computational power and sequencing technologies, which are at the peak of their development, enable the use of advanced algorithms with high processing volume to predict the intracellular functions of ...
  • Targeted sentiment analysis on Turkish texts 
    Mutlu, Mustafa Melih. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Sentiment Analysis (SA) is one of the Natural Language Processing (NLP) tasks whose goal is to understand subjective information from a piece of text. The increased accessibility to the Internet and thus to social media ...
  • Enhancing relation classification by using shortest dependency paths between entities with pre-trained language models 
    Karaevli, Haluk Alper. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Relation Extraction (RE) is the task of finding the relation between entities from a plain text. As the length of the text increases, finding the relation becomes more challenging. The shortest dependency path (SDP) between ...
  • Blur assessment in sign language videos 
    Eryılmaz, Giray Naim. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Blur impairs the sharpness of visual features and the clarity of details. It may sometimes be desired for artistic effect. However, in general, it is regarded as a defect. There are different problems studied about blur, ...
  • A knowledge-graph based graph neural network model to identify topics in short texts 
    Güney, Abdullah Atakan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Topic models are probabilistic generative models used to analyze a collection of documents. People have leveraged topic models for many years to extract hidden structures from documents. However, classical topic models ...
  • Network data analytics function in 5G networks 
    Sevgican, Salih. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Wireless cellular networking in the world goes through a tremendous structural change where many advances in technology find an opportunity to present themselves for assistance. 5G cellular network, the most recent generation ...
  • Short-term forecast methodologies and case studies in traffic flow 
    Yılmaz, Elif. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    This thesis gives case studies on short-term traffic flow forecasting strategies within a time series framework. After discussing the traditional, machine learning and deep learning methods, one of main goals is to experiment ...
  • Bidirectional multi-step prediction with affordances 
    Bozdoğan, Utku. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Affordances are action possibilities of an object, directly perceived by agents based on their capabilities. Affordances are learned from goal-free exploration of the agent’s capabilities through observing the effects of ...
  • Probabilistic discriminative region descriptor for time series classification 
    İşiaçık, Pınar Süngü. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Detecting discriminivative regions is a recent promising concept in many differ ent domains for various dataset types such as image, text and time series. In time series domain, time series might be large and high dimensional ...
  • Hate speech detection in Turkish news using a transformer-based model enhanced with linguistic features 
    Yüksel, Atıf Emre. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Hate speech directed at ethnicities, nationalities, religious identities, and specific groups has increased not only in social media, but also in print media. This creates a need for automated hate speech detection systems ...
  • A tree based categorical variable encoding strategy in supervised learning tasks 
    Gazioğlu, Mine. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Categorical variables are present in most real-world datasets, often consisting of a high number of levels, referred to as high-cardinality categorical variables. Most machine learning algorithms do not have an innate ...
  • 3D shape generation and manipulation 
    Dirik, Alara. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Computer graphics, 3D computer vision and robotics communities have pro duced multiple approaches to represent and generate 3D shapes, as well as a vast number of use cases. These use cases include, but are not limited to, ...

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