Now showing items 1-8 of 8

    • 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 ...
    • 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 ...
    • 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 ...