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Browsing M.S. Theses by Author "Gürgen, Fikret."

Browsing M.S. Theses by Author "Gürgen, Fikret."

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  • A modular approach for SMEs credit risk analysis 
    Derelioğlu, Gülnur. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    Credit risk analysis is a challenging problem in financial analysis domain. It aims to estimate the risk occurred when a customer is granted. The risk estimation depends on both customer behavior and economical condition. ...
  • A study of a group healthcare datasets in data mining domain 
    Kurum, Fikri Mert. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.)
    This research is to search for alternatives to the resolution of complex medical diagnosis where human knowledge should be apprehended in a general fashion. Successful application examples show that human diagnostic ...
  • 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 ...
  • Automatic TV logo detection and classification 
    Özay, Nedret. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    Television (TV) logos are the only semantic objects that appear commonly in all TV broadcast videos. And they can be utilized in the development of many useful applications such as TV commercial detection, and audience ...
  • Classifier performances for credit risk analysis 
    Çetiner, Erkan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    Credit Risk Analysis (CRA) is an important and challenging data mining problem in financial analysis domain which is commonly used by many financial organizations. It became one of the most important and hot concept in ...
  • Compressing mesh geometry using spectral methods and a set partitioning algorithm 
    Konur, Umut. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    The demand for visualizing 3D objects has been growing rapidly in recent years due to the use of 3D models in several contexts and an increasing number of applications such as computer aided design, manufacturing, defense, ...
  • Credit risk modeling using machine learning techniques 
    Kaya, Murat Emre. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    In this thesis, credit scoring ability of several machine learning techniques were investigated such as multi-layer perceptron (MLP), radial basis function (RBF), knearest neighbor (k-NN) and support vector machines (SVM). ...
  • Deep learning based recommendation system design 
    Şen, Seçil. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Recommendation systems are software tools that seek to suggest relevant items regarding user preferences. Preference might be any; text to read, product to buy, or anything depending on the industry. Since it’s vastly ...
  • ECG arrhythmia classification using class-modular MLP 
    Vural, Haydar. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    ECG (Electrocardiography) is a graphical signal of electrical activity recorded from electrodes on the body surface. It is one of the most important biosignal used by cardiologists for diagnostic purposes. In this study, ...
  • Error concealment for speech over noisy channels by using audio watermarking 
    Er, Fatih. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    In this thesis, the author presents a novel error concealment method of speech for noisy channels using audio watermarking. The proposed error concealment algorithm abbreviated as ECAW is basically a LSB-based scheme and ...
  • Feature selection and transfer learning algorithms with applications on credit risk analysis 
    Bozkurt Gönen, Gül Efşan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    Many financial organizations such as banks and retailers use computational credit risk analysis (CRA) tools heavily due to recent financial crises and more strict regulations. This strategy enables them to manage their ...
  • Forecasting stock market volatility using artificial neural networks 
    Yümlü, Mustafa Serdar. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2004., 2004.)
    Stock markets play a very significant role in the economy of capitalist countries. Millions of people trade everyday in order to have more and more profit. At this point, being able to know the future of the market gets ...
  • GA-NN approach for ECG feature selection in rule-based arrhythmia classification 
    Aslantaş, Gözde. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    This paper presents rule extraction and feature selection system to detect abnormality in ECG signals. Genetic Algorithm-Neural Network (GA-NN) Approach is used to distinguish between the presence and absence of cardiac ...
  • 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 ...
  • 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 ...
  • Location area management for mobile networks with evolutionary algorithms 
    Karaoğlu, Bahar. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2004., 2004.)
    Location management is a very important problem in mobile networks. In general, registration and paging costs are associated with tracking the current location of a mobile user. Considering the whole network as a single ...
  • Parallel implementation of a VQ-based text-independent speaker identification 
    Soğancı, Ruhsar. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2004., 2004.)
    Automatic user identification is an indispensable part of today's computer based applications. Passwords and keys are common solutions due to their ease of implementation and low cost, but these solutions also contain the ...
  • Performance evaluation of evolutionary heuristics in dynamic environments 
    Ayvaz, Demet. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    In stationary optimization problems, it is assumed that no changes occur with respect to the problem solved during the course of computation. However many real-world optimization problems are non-stationary (dynamic) and ...
  • Prenatal risk assessment of Down syndrome by probabilistic classifiers 
    Uzun, Ömer. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.)
    Over the last 20 years, new technology has improved the methods of detection of fetal abnormalities, including Down syndrome. While there are ways to diagnose Down syndrome by obtaining fetal tissue samples by amniocentesis ...
  • Risk estimation for intrauterine growth restriction using ultrasound indices and classifiers in emergency cases 
    Zengin, Zeynep. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    The main objective of this study is to provide automatic recognition of IUGR in the early stages of pregnancy by using noninvasive method. The difficulty faced in interpretation of IUGR in the early stages forced researchers ...

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