• Multilevel Sentiment Analysis in Arabic 

      NASSAR, AHMED (Fen Bilimleri Enstitüsü, 2017-08-24)
      Sentiment analysis has a great necessity to classify sentences like review, news, blog, etc. in order to hold the overall sentiment (i.e. negative, positive or neutral) embedded in them. The vast majority of studies focused ...
    • Multimodal Machine Comprehension of How-to Instructions with Images and Text 

      Yağcıoğlu, Semih (Fen Bilimleri Enstitüsü, 2023)
      In the blink of an eye, we understand what we are looking at. Most of our brain is organized to process the visual information we receive; thus, replicating human intelligence requires a complete understanding of human ...
    • Neural Dependency Parsıng For Turkısh 

      Tuç, Salih (Fen Bilimleri Enstitüsü, 2020-06)
      Dependency Parsing is the task of finding the grammatical structure of a sentence by identify- ing syntactic and semantic relationships between words. The current accuracy of the depen- dency parsers is still not satisfying ...
    • Neural Semantİc Parsİng, Annotation and Evaluation for Turkish 

      Bölücü, Necva (Fen Bilimleri Enstitüsü, 2022-12-13)
      Semantic representation is a way of expressing the meaning of a text that can be processed by a machine to serve a particular natural language processing (NLP) task. Universal Conceptual Cognitive Annotation (UCCA) is one ...
    • Neural Text Normalization for Turkish Social Media 

      Göker, Sinan (Fen Bilimleri Enstitüsü, 2018)
      Social media has become a rich data source for natural language processing tasks with its worldwide use; however, it is hard to process social media data directly in language studies due to its unformatted nature. Text ...
    • Neural Word Embeddings for Sentiment Analysis 

      Naderalvojoud, Behzad (Fen Bilimleri Enstitüsü, 2020)
      Most pre-trained word embeddings are achieved from context-based learning algorithms trained over a large text corpus. This leads to learning similar vectors for words that share most of their contexts, while expressing ...
    • Offensive Language Detection in Turkish Twitter Data with BERT Models 

      Özberk, Anıl (Fen Bilimleri Enstitüsü, 2022)
      As insulting statements become more frequent on online platforms, these negative statements create a reaction and disturb the peace of society. Identifying these expressions as early as possible is important to protect the ...
    • Omuz Egzersizlerinin RGB-D Verisi Kullanılarak Gerçek Zamanlı Kestirimi İçin Sanal Egzersiz Sistemi 

      Ulutaş, Volkan (Fen Bilimleri Enstitüsü, 2019-09-30)
      Shoulder pain and discomfort are common and serious problems. Shoulder treatment benefits from a structured and repetitive program. In traditional physical rehabilitation programs, patients frequently perform exercises ...
    • Online Time Delay and Disturbance Compensation for Linear Non Minimum Phase Systems 

      Demirtaş, Özlem (Fen Bilimleri Enstitüsü, 2021)
      Disturbances often occur in real systems and this has a negative effect on system stability and performance. In the past, a number of remedies have been proposed to enhance the stability and performance characteristics ...
    • Open Domain Factoid Question Answering Systems 

      Soleimanian Gharehchopogh, Farhad (Fen Bilimleri Enstitüsü, 2015)
      Question Answering (QA) is a field of Artificial Intelligence (AI) and Information Retrieval (IR) and Natural Language Processing (NLP), and leads to generating systems that answer to questions natural language in open and ...
    • Optimization Methods in High-Level Synthesis 

      Dilek, Selma (Fen Bilimleri Enstitüsü, 2022-06-30)
      Continuous decrease in the transistor technology sizes has enabled much denser packaging of electronic components on chips, which has resulted in integrated circuits with more functionalities and lower costs. However, it ...
    • Optımızatıon Methodology For Applıcatıon Mappıng In Wıreless Network-On-Chıp 

      Çakın, Alperen (Fen Bilimleri Enstitüsü, 2022)
      Network-on-Chip is a novel communication technology that has replaced the traditional bus-based or point-to-point communication methods between the electronic components to allow for faster and more energy-efficient ...
    • Otomatik Duygu Sözlüğü Çevirimi ve Duygu Analizinde Kullanımı 

      Uçan, Alaettin (Fen Bilimleri Enstitüsü, 2014)
      People want to decide in their daily and seasonal activities by referring other people's emotions, experiences or opinions. This tendency also means transfer of experience and expansion of communal memory. For instance, ...
    • Otomatik Duygu Sözlüğü Geliştirilmesi ve Haberlerin Duygu Analizi 

      Sağlam, Fatih (Fen Bilimleri Enstitüsü, 2019)
      The level reached by mass media today, with respect to informing the society, raising awareness, affecting opinions, and even mobilizing masses, is impressive. Being mass communication tools, mainstream news media produces ...
    • Parallelization Analysis of ECO Tracking Algorithm on GPUs 

      Taygan, Uğur (Fen Bilimleri Enstitüsü, 2020-06)
      Object tracking is a very popular area in image processing. Its popularity comes from the variety of its application areas. It is used for security and surveillance, autonomous vehicles, human-machine interaction, traffic ...
    • Path Plannıng Usıng Heurıstıc Algorıthm in Dynamıc Envıronment 

      Elmi, Zahra (Fen Bilimleri Enstitüsü, 2019-08-30)
      Navigation of mobile robots and autonomous vehicles is one of the important issues in computer and control sciences. Path planning and obstacle avoidance are current topics of navigational challenges for mobile robots and ...
    • Producing Synthetic Person Images with Deep Generative Artificial Neural Networks 

      Günel, Mehmet (Fen Bilimleri Enstitüsü, 2018)
      Producing synthetic person images has wide variety of applications including digital photo sharing and editing, visual surveillance, fashion and art design and human interactive autonomous machines, among others. In the ...
    • Real-Time Radar Tracking System With Deep Learning 

      Muhammed Emir Çakıcı (Fen Bilimleri Enstitüsü, 2023)
      Real-time data tracking plays an essential role in the flight test processes of an aircraft. The data flowing from the aircraft to the ground control center must be real-time and uninterrupted. However, sometimes ground ...
    • Recognizing Human Actions from Images with Attention Mechanism 

      Baş, Çağdaş (Fen Bilimleri Enstitüsü, 2022-05)
      Human action recognition in still images is a challenging problem due to the lack of complete motion compared to videos. A single snippet of the ongoing action does not compete with the rich information provided by a video. ...
    • Recognıtıon Of Human Interactıons Usıng Hıstogram Of Sequences 

      Çavent, Aytaç (Fen Bilimleri Enstitüsü, 2018-10-08)
      In recent years, many techniques have been proposed for recognition of the human interactions in the computer vision literature. To recognize human interactions, spatial and temporal descriptors have been used together. ...