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Browsing M.S. Theses by Author "Özgür, Arzucan."

Browsing M.S. Theses by Author "Özgür, Arzucan."

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  • A gan-based hybrid data augmentation framework on chest x-ray images and reports 
    Özfidan, Hasan Berat. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Classical data augmentation techniques are widely used by many image classifi cation applications in the absence of adequate training data. These data augmentation techniques consists of but not limited with reflection, ...
  • A hybrid BERT-GAN system for protein - protein interaction extraction from biomedical text 
    Basmacı, Mert. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Considering the rapid increase in the biomedical literature, manual extraction of information regarding Protein-Protein Interactions (PPIs) becomes an exhausting task. Therefore, there is a strong need for the development ...
  • A semantic sentence similarity estimation approach for the biomedical domain 
    Soğancıoğlu, Gizem. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    During the last decades, the use of semantic text similarity has been adopted as a major component in many Natural Language Processing tasks, including text retrieval, summarization, and document categorization. Integration ...
  • A seq2seq transformer model for Turkish spelling correction 
    Batmaz, Şahin. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Natural language processing (NLP) is a fascinating area of artificial intelligence. It allows humans to interact with machines through natural language. There are two main concepts in NLP model architectures, namely input ...
  • Analysing drug taggets using ligand similarity 
    Öztürk, Hakime. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Analysis of the interactions between target proteins and drugs is crucial not only for drug discovery, but also for a better understanding of the possible evolutionary pressure that the drugs exert on the proteins. Based ...
  • Analyzing stemming and sentence simplification methodologies for Turkish multi-document text summarization 
    Nuzumlalı, Muhammed Yavuz. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Automatic text summarization is the task of generating a compact and coherent version of a given text document or a set of text documents. Although there is a vast number of studies for automatic document summarization on ...
  • Analyzing the generalizability of deep contextualized language representations for text classification 
    Büyüköz, Berfu. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    This study evaluates the robustness of two state-of-the-art deep contextual language representations, ELMo and DistilBERT, on supervised learning of binary protest news classi cation and sentiment analysis of product ...
  • Bayesian network based pathway analysis of high throughput biological data 
    Korucuoğlu, Melike. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.)
    Biological data production has been increasing at an unprecedented pace with the advancements of microarrays and next-generation sequencing technologies. Such High Throughput Biological Data (HTBD), requires detailed ...
  • Biomolecular language processing for drug-target affinity prediction 
    Özçelik, Rıza. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Finding high-affinity protein-chemical pairs is a prominent stage of the drug discovery pipeline. However, the number of available proteins and chemicals forms an experimentally insurmountable combination space and ...
  • 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 ...
  • Detecting hate speech in Turkish texts 
    Hüsünbeyi, Zehra Melce. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    It is well known that prejudiced and discriminatory language is being widely used and spread through several channels such as printed or social media. The discrimina tory language, in particular hate speech as its more ...
  • 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 ...
  • Detection of topic-based opinion leaders in microblogging environments 
    Kaymaz, Gözde. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.)
    Recently, the world has become a huge virtual and social environment where people spend a great deal of time expressing their thoughts, feelings and opinions. This virtual socialization seems to bring us to a new era where ...
  • Discovering a gene interaction atlas using bayesian networks and external biological knowledge 
    Doğan, Haluk. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2013., 2013.)
    Recent advances have enlightened that biological pathways are far more complicated than once thought, due to the inclusion of interconnected complex cellular actions, which made hard understanding the multifaceted mechanisms ...
  • Empowering heterogeneous networks for drug-target affinity prediction 
    Parlar, Selen. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Predicting drug-target binding affinity is a critical phase in computer-aided drug design, which can help accelerate the drug development process and reduce experimen tal validation costs caused by the significant ...
  • 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 ...
  • Hate speech detection in Turkish news using a transformer-based model enhanced with linguistic features 
    Yüksel, Atıf Emre. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Hate speech directed at ethnicities, nationalities, religious identities, and specific groups has increased not only in social media, but also in print media. This creates a need for automated hate speech detection systems ...
  • 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 ...
  • 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 ...

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