Browsing M.S. Theses by Title

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  • Identification of verbal multiword expressions using deep learning architectures and representation learning methods 
    Erden, Berna. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Understanding multiword expressions (MWEs) plays an instrumental role in Natural Language Processing applications such as parsing and machine translation. MWE identi cation is a task that automatically detects and classi ...
  • Identifying event nuggets in Turkish news texts using natural language processing and machine learning methods 
    Durna, Mehmet. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    An event nugget is the smallest textual instance that marks the existence of an event. Detecting event nuggets in a given text opens door to further research and many practical applications such as automatic classification ...
  • Identifying image related sentences in news articles 
    İlter, Melike Esma. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    With the increasing availability of images on the web, identifying image related sentences has become an important problem. This research area is also important for the news publishing community for automatic captioning ...
  • Identifying passages describing protein-protein interaction detection methods in biomedical full text articles using information retrieval methods 
    Aydın, Ferhat. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    Information regarding the physical interactions among proteins is crucial, since protein-protein interactions (PPIs) are central for many biological processes. The experimental techniques used to verify PPIs are also vital ...
  • Identifying peptide motifs using genetic algorithms 
    Tanrıseven, Deniz. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2000., 2000.)
    Finding the ligand motifs binding to the receptor molecules is crucial in vaccine and drug design, especially for the MHC-peptide problem. In this work, for determining the peptide motifs binding to specific MHC molecules, ...
  • Imitation of human arm movements by a humanoid robot using monocular vision 
    Kurt, Barış. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    A sociable robot must have the capability to imitate agents around it. In a human society, people generally teach new skills to other people by demonstration. Hence, our artificial partners should be able to learn from us ...
  • Implementation of the analysis part of a pascal translator 
    Ataç, H. Cem. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 193., 1983.)
    This thesis describes the implementation of the analysis part of a single pass translator for the programming language STANDARD PASCAL. The translation process includes syntactic analysis and semantic analysis at the ...
  • Importance methods for photon mapping 
    Aras, Hikmet. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    Photon mapping is a global illumination method widely used in realistic image synthesis. It is a Monte-Carlo Sampling based technique and noise is a potential problem in the rendered image. Tracing high number of photons ...
  • Improving robustness of deep learning systems with fast and customizable adversarial data generation 
    Arıcı, Mehmet Melih. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Deep Learning (DL) is the force behind the success of solving many complicated tasks in recent years. With the use of DL systems in safety-critical applications, it has become of great importance to make these systems ...
  • Improving text categorization performance by combining feature selection methods 
    Özbilen, Ece. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    Even though the arrival of the machine learning methods in text categorization is one of the essential factors that improves the effectiveness of text categorization, high dimensionality is still a challenge for classification ...
  • Improving the performance of a communication via diffusion system considering molecule degradation in nanonetworking 
    Kılıç, Fatma Nur. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    The interconnection between the nanoscale circuit components, which is referred to as nanonetworking, is a hot topic for nearly a decade. Among the various approaches studied in the literature, we apply communication via ...
  • Improving the performance of LoRaWAN IoT system 
    Yapar, Gökçer. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    One of the technologies developed in LPWAN according to the IoT concept is the LoRaWAN protocol. This protocol works together with LoRa modulation. So far, studies on this protocol included only uplink communication. ...
  • In silico determination of orthosteric and allosteric inhibitors of sphingosine kinase 1 (SK1) 
    Bayraktar, Özge. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    The sphingosine kinase 1 (SK1)/sphingosine-1-phosphate (S1P) signaling pathway is a crucial target for numerous human diseases from cancer to cardiovascular diseases. Even though the discovery of SK1 inhibitors has been ...
  • Increasing accessiblity of web content via semantic renarration 
    Güder, Emrah. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    Much of the content on the Web is not accessible to a large portion of the global population due to barriers such as language, literacy levels, physical impairments, expertise, etc. Attempts to make content more accessible ...
  • Incremental learning with ensemble based SVM classifiers for non-stationary environments 
    Yalçın, Aycan. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    In this thesis, we evaluate the performance of support vector machines (SVM) ensemble, which is constructed by using Learn++ algorithm, on changing environment and propose incorporating forgetting mechanism to adapt this ...
  • Incremental neural network construction algorithms for training multilayer perceptrons 
    Aran, Oya. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2002., 2002.)
    The problem of determining the architecture of a multilayer perceptron together with the disadvantages of the standard backpropagation algorithm, directed the research towards algorithms that determine not only the weights ...
  • Indoor visual understanding with RGB-D images using deep neural network 
    Doyran, Metehan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    We created a visual understanding pipeline for house robots with Red-Green-Blue Depth (RGB-D) sensors. Our pipeline consists of three components; (i) an RGB-D object detection network,(ii)asimpletrackingalgorithm,and(iii)a3D ...
  • Inference and parameter estimation in bayesian change point models 
    Yıldız, Çağatay. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    In this work, we present a Bayesian change point model that identifies the time points at which a time series undergoes abrupt changes. Our model is a hierarchical hidden Markov model that treats the change points and the ...
  • 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 ...
  • Interactive briefing map on responsive workbench 
    Kalkan, Muhammed. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    This thesis presents a terrain visualization application developed on a responsive workbench system. The application enables stereo viewing of a terrain as if a physical mock up model of it is actually on a real table. ...

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