Browsing Bilgisayar Mühendisliği 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 performance of defect predictors using confirmation bias metrics 
    Çalıklı, Handan Gül. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2012.)
    Software defect prediction models help managers to prioritize their testing effort. Algorithms, which are used to learn defect predictors, have reached a ceiling such that further improvements may only come from increasing ...
  • 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 text classification performance with the analysis of lexical dependencies and class-based feature selection 
    Özgür, Levent. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    In this thesis, we present a comprehensive analysis of the feature extraction and feature selection techniques for the text classification problem in order to achieve more successful results using much smaller feature ...
  • 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. ...
  • Improving the performance of software defect predictors with internal and external information sources 
    Turhan, Burak. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    In this dissertation, we make an analysis of software defect prediction problem from a data mining perspective, where software characteristics are represented with static code features and defect predictors are learned ...
  • 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 construction of cost-conscious ensembles using multiple learners and representations in machine learning 
    Ulaş, Mehmet Aydın. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    In this thesis, the main purpose is to combine multiple models to increase accuracy, while at the same time keeping a check on complexity. Towards this aim, we propose two methods, and these methods are tested by simulations ...
  • 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 ...

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