Bilgisayar Mühendisliği: Recent submissions

  • Semantic web services composition: a network analysis approach 
    Akkuş, Gökay Burak. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    “Software as a service” approach has become a reality since efforts of both industry and research focused on service integration on the web. It would be possible to see the true potential of such a distributed infrastructure ...
  • Detecting hate speech in Turkish texts 
    Hüsünbeyi, Zehra Melce. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    It is well known that prejudiced and discriminatory language is being widely used and spread through several channels such as printed or social media. The discrimina tory language, in particular hate speech as its more ...
  • Model selection for relational data factorization models 
    Hızlı, Çağlar. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    For relational data factorization, generative models provide a statistically principled approach that allows for extending the factorization task in the probabilistic framework of Bayesian statistics. The most well-known ...
  • Theme supervised nonnegative matrix factorization for topic modeling 
    Suyunu, Burak. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Topic models are often used to organize and interpret large and unstructured corpora of text documents. They try to explain the topics that constitute the semantic infrastructure of the document sets and try to find the ...
  • Likelihood free particle filtering with Approximate Bayesian Computation for parameter estimation in cosmic ray air shower studies 
    Yabaş, M. Kutay. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Highly energetic particles called cosmic rays arrive at earth and interact with the atmosphere to cause other particles to emerge and fuel a chain interaction of particle production until the energy is dissipated. These ...
  • Hierarchical multitask learning for language modeling with transformers 
    Aksoy, Çağla. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Recent works show that learning contextualized embeddings for words is bene ficial for natural language processing (NLP) tasks. Bidirectional Encoder Representa tions from Transformers (BERT) is one successful example of ...
  • Prediction of druggability properties of chemicals using machine learning techniques 
    Kahya, Gamze Ege. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Drug discovery is the process of designing and developing new medicine. The research and clinical experiments for new drug proposals are costly and take a long time. Although there has been proposed a lot of drug-like ...
  • A blockchain based group key agreement protocol (B-GKAP) 
    Taçyıldız, Yaşar Berkay. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Group key agreement protocols are crucial in the case of multiple parties agreeing on a common key without a centralized entity. However, the decentralized characteristic of these protocols causes performance challenges ...
  • Analyzing the generalizability of deep contextualized language representations for text classification 
    Büyüköz, Berfu. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    This study evaluates the robustness of two state-of-the-art deep contextual language representations, ELMo and DistilBERT, on supervised learning of binary protest news classi cation and sentiment analysis of product ...
  • Object, action, and outcome blending latent space exploration with intrinsic motivation to learn manipulation skills 
    Şener, Melisa İdil. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    In quest of making artificial agents more autonomous and intelligent, equipping them with the ability of self-learning of skills plays a crucial role. In this thesis, we focus on intrinsically motivated exploration to ...
  • Object and relation-centric reasoning of action effects in push manipulation tasks 
    Tekden, Ahmet Ercan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    In complex robotic systems, prediction of effects is a challenging problem when the number of objects varies, especially in the presence of rich and various interactions among these objects. To be able to model such systems, ...
  • Intelligent arrhythmia classification based on support vector machines 
    Özkaya, Aslı Uyar. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    The main objective of this study is to provide automatic recognition of arrhythmiccardiac pathologies from the classification of ECG recordings. ECG is a graphical signalwhich is the result of electrical tension of heart ...
  • Action recognition for social robots 
    Varol, Rahmetullah. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Being able to understand and recognize actions is a crucial precondition for social integration, which enables the members of a social community to interact with each other and with their environments. During the development ...
  • An embedded RISC-V with fast modular multiplication 
    Irmak, Ömer Faruk. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    While one of the biggest enabling factors of Internet of Things growth is cheap and capable hardware, maybe the biggest concern is privacy and security. Encryption and authentication need big power budgets, which ...
  • Constant-space, constant-randomness verifiers with arbitrarily small strong error 
    Gezer, Mehmet Utkan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    We study the capabilities of probabilistic finite-state machines that act as verifiers for certificates of language membership for input strings, in the regime where the verifiers are restricted to toss some fixed nonzero ...
  • Adversarial one-shot voice conversion using disentangled representations 
    Yeşilkanat, Ali. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    In this thesis, a new adversarial one-shot voice conversion (VC) method is introduced by enhancing one of the latest variational autoencoder based one-shot VC methods. The proposed method utilizes acoustic features as ...
  • Learning temporal sensorimotor distributions of complex robotic manipulation skills with conditional neural processes 
    Şeker, Muhammet Yunus. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    This thesis proposes a new framework, namely Conditional Neural Movement Primitives (CNMPs) that is a learning from demonstration framework designed as a robotic movement learning and generation system built on top of a ...
  • Neural Sign Language Translation by learning tokenization 
    Orbay, Alptekin. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    In this thesis, we propose a multitask learning based method to improve Neural Sign Language Translation (NSLT) consisting of two parts, a tokenization layer and Neural Machine Translation (NMT). The tokenization part ...
  • Score level multi cue fusion for sign language recognition 
    Gökçe, Çağrı. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    In this thesis, we propose a Score-Level Multi Cue Fusion approach that improves the sign language recognition performance of the three dimensional convolutional neural networks. Sign Language is the communication language ...
  • Spatially varying single image deblurring using cyclegans 
    Ünlü, Gizem Esra. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    In this thesis, we propose a novel method that learns to deblur hand images in the presence of spatially-varying object motion blur and unpaired blurry/sharp training pairs. While some success has been achieved in image ...