Now showing items 1-15 of 15

    • A tree learning approach to web document sectional hierarchy extraction 

      Pembe, F.Canan; Göngör, Tunga (2010)
      There is an increasing availability of documents in electronic form due to the widespread use of the Internet. Hypertext Markup Language (HTML) which is mostly concerned with the presentation of documents is still the most ...
    • Autonomous vehicle control for Lane and vehicle tracking by using deep learning via vision 

      Olgun, Masum Celil; Baytar, Zakir; Akpolat, Kadir Metin; Şahingöz, Özgür Koray (2018)
      Camera-based lane detection and vehicle tracking algorithms are one of the keystones for many autonomous systems. The navigational process of those systems is mainly focused on the output of detection algorithms. However, ...
    • Benchmarking of Regression Algorithms and Time Series Analysis Techniques for Sales Forecasting 

      Akbulut, Akhan (2019-01)
      — Predicting the sales amount as close as to the actual sales amount can provide many benefits to companies. Since the fashion industry is not easily predictable, it is not straightforward to make an accurate prediction ...
    • Bimodal affect recognition based on autoregressive hidden Markov models from physiological signals 

      Patlar Akbulut, Fatma; Perros, H.G; Shahzad, M. (2020-10)
      Background and objective: Affect provides contextual information about the emotional state of a person as he/she communicates in both verbal and/or non-verbal forms. While human's are great at determining the emotional ...
    • Building up lexical sample dataset for Turkish word sense disambiguation 

      İlgen, Bahar; Adalı, Eşref; Tantuğ, Ahmet Cüneyd (2012-07-02)
      Word Sense Disambiguation (WSD) has become even more important research area in recent years with the widespread usage of Natural Language Processing (NLP) applications. WSD task has two variants: “Lexical Sample” and “All ...
    • Comparison of Face Recognition Algorithms 

      Günay, Melike; Ensari, Tolga (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2017)
      in this study, we analyze the algorithms that is used for face recognition and make performance comparison of two algorithms. The methods that is analyzed are k-nearest neighbors, Naive Bayes, eigenfaces, principle component ...
    • Comparison of lung cancer detection algorithms 

      Günaydın, Özge; Günay, Melike; Şengel, Öznur (International Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science (EBBT), 2019)
      Lung cancer is a kind of difficult to diagnose and dangerous cancer. It commonly causes death both men and women so fast accurate analysis of nodules is more important for treatment. Various methods have been used for ...
    • Development of a software vulnerability prediction web service based on artificial neural networks 

      Çatal, Çağatay; Akbulut, Akhan ; Ekenoğlu, Ecem; Alemdaroğlu, Meltem (2017)
      Detecting vulnerable components of a web application is an important activity to allocate verification resources effectively. Most of the studies proposed several vulnerability prediction models based on private and public ...
    • Diffused label popagation based transductive classification algorithm for Wwrd sense disambiguation 

      Kocaman, G.; Sipal, B.; Gerek, A.; Altınel, B.; Ganiz, M.C. (2019-07)
      A major natural language processing problem, word sense disambiguation is the task of identifying the correct sense of a polysemous word based on its context. In terms of machine learning, this can be considered as a ...
    • Digital Data Forgetting: A Machine Learning Approach 

      Mete, Büşra Rümeysa; Günay, Melike; Aşıroğlu, Batuhan; Yıldız, Eyyüp; Zencirli, Ahmet; Ensari, Tolga; Nalçakan, Yağız (2018-10)
      Digital transformation of the world goes very fast during last two decades. Today, data is power and very important. Firstly, magnetic tapes and then digital data storages have been used to collect all data. After this ...
    • Disease Prediction Using Weighted Artificial Immune System 

      Günay, Melike; Orman, Zeynep (2019-07)
      The Artificial Immune System (AIS) is a computational intelligence method inspired from the human immune system, which is applied to real-world problem solving related to classification, optimization and anomaly detection ...
    • Flower Classification with Deep CNN and Machine Learning Algorithms 

      Mete, Büşra Rümeysa; Ensari, Tolga (2019-09-11)
      Development of the recognition of rare plant species will be advantageous in the fields such as the pharmaceutical industry, botany, agricultural, and trade activities. It was also very challenging that there is diversity ...
    • Machine Learning Based Phishing Detection from URIs 

      Şahingöz, Özgür Koray; Buber, Ebubekir; Demir, Önder; Diri, Banu (2017-12)
      Due to the rapid growth of the Internet, users change their preference from traditional shopping to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try to find their victims in the cyberspace ...
    • Performance Evaluation Metrics for Software Fault Prediction Studies 

      Çatal, Çağatay (Budapest Tech, Becsi Ut 96-B, Budapest, H-1034, Hungary, 2012)
      Experimental studies confirmed that only a small portion of software modules cause faults in software systems. Therefore, the majority of software modules are represented with non-faulty labels and the rest are marked with ...
    • Performance tuning for machine learning-based software development effort prediction models 

      Ertuğrul, Egemen; Baytar, Zakir; Çatal, Çağatay; Muratlı, Can (2019)
      Software development effort estimation is a critical activity of the project management process. In this study, machine learning algorithms were investigated in conjunction with feature transformation, feature selection, ...