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Browsing M.S. Theses by Subject "Neural networks (Computer science)"

Browsing M.S. Theses by Subject "Neural networks (Computer science)"

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  • A defect prediction method for software versioning 
    Kastro, Yomi. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    Software lifecycle is becoming more human-independent with the help of new methodologies and tools. Many of the research in this field focus on defect reduction, defect identification and defect prediction. Defect prediction ...
  • Attention modeling with temporal shift in sign language recognition 
    Çelimli, Ahmet Faruk. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Sign languages (SLs) are the main communication language of deaf people. They are visual languages that establish communication through multiple cues including hand gestures, upper-body movements and facial expressions. ...
  • Datasets and transformer models for cross-lingual relation classification 
    Köksal, Abdullatif. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Relation classification is one of the key topics in information extraction, which can be used to construct knowledge bases or to provide useful information for question answering. Current approaches for relation classification ...
  • Earthquake prediction using neural networks 
    Dimililer, Nazife. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 1995., 1995.)
    Earthquake Prediction is a mainly unsolved problem. A large number of different approaches have been tried and only a small number of attempts were fruitful. A few of these are explained briefly in this thesis. One of the ...
  • 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, ...
  • 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 ...
  • Enhancing relation classification by using shortest dependency paths between entities with pre-trained language models 
    Karaevli, Haluk Alper. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Relation Extraction (RE) is the task of finding the relation between entities from a plain text. As the length of the text increases, finding the relation becomes more challenging. The shortest dependency path (SDP) between ...
  • 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 ...
  • Hierarchical mixtures of generators in generative adversarial networks 
    Ahmetoğlu, Alper. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Generative adversarial networks (GANs) are deep neural networks that are de signed to model complex data distributions. The idea is to create a discriminator net work that learns the borders of the data distribution and a ...
  • Learning word representations with deep neural networks for Turkish 
    Dündar, Enes Burak. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    In this study, we analyze the effect of different word embedding methods in representing Turkish texts, namely word2vec, fastText, and ELMo. Word embeddings are used for representing words in a high dimensional vector space ...
  • Mixture of experts learning in automated theorem proving 
    Erkek, Cemal Acar. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    The main challenge of automated theorem proving is to find a way to shorten the search process. Therefore using a good heuristic method is essential. Although there are several heuristics that improve the search techniques, ...
  • Morphologically motivated input variations in Turkish - English neural machine translation 
    Yirmibeşoğlu, Zeynep. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Success of neural networks in natural language processing has paved the way for neural machine translation (NMT), which rapidly became the mainstream approach in machine translation. Tremendous improvement in translation ...
  • Multivariate product demand forecasting with neural networks 
    Şahin, Çağatay. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    In retail, there are plenty of use cases that would benefit from predicting the future amount of product sales. Those use cases include cash ow management, campaign execution and inventory planning, all of which are the ...
  • Probabilistic argumentation systems entity-transitive relation-implication model and document ranking as an efficient application 
    Çetin, Burak. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2005., 2005.)
    This work is an endeavor towards analyzing complex networks. Mainly, a linkanalysis ranking (LAR) algorithm will be introduced, and related background will bedeveloped. Firstly, we introduce a graph based model we name ...
  • Robustness and resilience of deep neural networks 
    Buldu, Abdullah Murat. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Deep Neural Networks (DNN) are used extensively to solve challenging problems in computer vision, natural language processing, and speech recognition. However, recent studies such as adversarial attacks show that high ...
  • Unsupervised routing strategies for conditional deep neural networks 
    Meral, Tuna Han Salih. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Deep convolutional neural networks are considered state-of-the- art solutions due to their high classification performance in image classification tasks. The apparent drawback is the amount of computing power required to ...

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