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Browsing Fen Bilimleri Enstitüsü by Subject "Machine learning."

Browsing Fen Bilimleri Enstitüsü by Subject "Machine learning."

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  • A comparative evaluation of machine learning algorithms for statistical downscaling of monthly mean temperature data over European region 
    Eser, Günay. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Climate change is the most vital environmental change that has already started to affect many ecosystems. It is caused by greenhouse gas emissions which are increasing since the pre- industrial era, and populated areas ...
  • Algorithmic trading on cryptocurrency markets using machine learning techniques 
    Aktepe, Çağdaş. (Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in the Social Sciences, 2018., 2018.)
    The aim of this thesis is to apply different machine learning models to the price prediction problem in cryptocurrency exchange markets in order to find profitable trading algorithm. Eight trading pairs are taken into ...
  • Algorithms for learning from online human behavior and human interaction with learning algorithms 
    Çapan, Gökhan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    In modern digital systems, algorithms that deliver personalized content shape the user experience and affect user satisfaction, hence long-term engagement with the system. What the system presents also influences the parties ...
  • An evaluation of existing and new feature selection metrics in automatic text categorization 
    Taşcı, Şerafettin. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    In recent years, the amount of available documents in the electronic medium such as electronic books, digital libraries and email messages increased rapidly. Therefore, the task of organizing and manipulating these resources ...
  • An interactive web-based machine-learning suite 
    Yanardağ, Pınar. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    We propose a comprehensive and interactive web-based machine learning suite that will allow researchers and practitioners to use a wide collection of basic and experimental learning algorithms and sophisticated visualization ...
  • Application of various machine learning approches to estimate liquefaction risk 
    Nejad, Amin Shoari. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    In this thesis, the possibility of using quadratic discriminant analysis (QDA), artificial neural networks (ANN), random forest and support vector machine (SVM), which are four famous machine learning approaches, to model ...
  • Applying machine learning and natural language processing techniques to twitter sentiment classification for Turkish and English 
    Ayata, Değer. (Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in the Social Sciences, 2018., 2018.)
    Determining the feelings of a user on a topic is called sentiment analysis. Senti ment analysis is done so as not just to get a sort of feedback data for decision making but also to check the emotions, characteristics and ...
  • 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). ...
  • Crowd - labelling for continuosun - valued annotations 
    Kara, Yunus Emre. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    As machine learning gained immense popularity across a wide variety of domains in the last decade, it has become more important than ever to have fast and inexpensive ways to annotate vast amounts of data. With the emergence ...
  • Deep learning based text regression 
    Dereli, Neşat. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Most financial analysis methods and portfolio management techniques are based on risk classification and risk prediction. Stock return volatility is a solid indicator of the financial risk of a company. Therefore, forecasting ...
  • Delay prediction using machine learning algorithms for connected autonomous traffic flow in uninterrupted facilities 
    Aytekin, Kaan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Road incidents and breakdowns in freeways create excess delays in road sections for a duration of time. Amount of this delay plays an important role in the route planning of the people on the road. In this thesis, we propose ...
  • Description of local chemical environments in machine learning potentials using spherical bessel descriptors 
    Köçer, S. Emir. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Molecular dynamics is an e ective numerical simulation technique for investigating material behavior at an atomistic scale, where simulated motions of atoms and molecules within a physical system are governed by Newtonian ...
  • Detection of antibiotic resistance in bacteria via machine learning approaches 
    Erkut, Hamdi. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Tuberculosis, which is sometimes referred as white plague, is one of the most dangerous diseases caused by bacteria in our era. The species causing the sickness is in the family of Mycobacteriaceae and called mycobacterium ...
  • Determination of protein-protein binding sites using machine learning tools 
    Sümbül, Fidan. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    Protein-protein interactions are involved in almost all biological processes. Thus, the understanding of the principles underlying these interactions is of great significance. This is mainly to identify the functional sites ...
  • Discriminant ensembles and error analysis of classifier fusion rules 
    Semerci, Murat. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    Each classification algorithm has its own underlying assumption and misclassifies different patterns and overall accuracy can be increased by a suitable fusion of multiple classifiers. The combination is performed over the ...
  • Efficient action and event recognition in videos using extreme learning machines 
    Varol, Gül. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    A great deal of research in computer vision community has gone into action and event recognition studies. Automatic video understanding for actions are crucial for application areas such as video indexing, surveillance and ...
  • Environment aware location estimation in cellular networks 
    Türkyılmaz, Onur. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    Location Based Services (LBS) enable personalized services to the mobile subscribers based on their current position and consequently it has received significant attention in both research and industry over the past few ...
  • Extracting protein-ligand interactions from the biomedical literature using deep learning approaches 
    Yüksel, Atakan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Protein-ligand interactions play crucial roles in living organisms, thus they attract many researchers from various disciplines. There are protein-ligand interaction databases that provide information to researchers in a ...
  • Hit song prediction using feature-based machine learning 
    Çalışkol, Anıl Orhan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Music industry is making big investments every year to produce hit songs. The increasing number of songs available through digital platforms can enable the development of learning models for predicting hit songs and ...
  • 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 ...

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