Now showing items 1-20 of 33

    • Can computerized adaptive testing work in students’ admission to higher education programs in Turkey? 

      Kalender, I.; Berberoglu, G. (EDAM, 2017-04)
      Admission into university in Turkey is very competitive and features a number of practical problems regarding not only the test administration process itself, but also concerning the psychometric properties of test scores. ...
    • Classification of agricultural kernels using impact acoustic signal processing 

      Onaran, İbrahim (Bilkent University, 2006)
      The quality is the main factor that directly affects the price for many agricultural produces. The quality depends on different properties of the produce. Most important property is associated with health of consumers. ...
    • Competitive and online piecewise linear classification 

      Özkan, Hüseyin; Donmez, M.A.; Pelvan O.S.; Akman, A.; Kozat, Süleyman S. (IEEE, 2013)
      In this paper, we study the binary classification problem in machine learning and introduce a novel classification algorithm based on the 'Context Tree Weighting Method'. The introduced algorithm incrementally learns a ...
    • Computer network intrusion detection using various classifiers and ensemble learning 

      Mirza, Ali H. (IEEE, 2018)
      In this paper, we execute anomaly detection over the computer networks using various machine learning algorithms. We then combine these algorithms to boost the overall performance. We implement three different types of ...
    • Convexity and logical analysis of data 

      Ekin, O.; Hammer, P. L.; Kogan, A. (Elsevier, 2000)
      A Boolean function is called k-convex if for any pair x,y of its true points at Hamming distance at most k, every point "between" x and y is also true. Given a set of true points and a set of false points, the central ...
    • Çağrı merkezi metin madenciliği yaklaşımı 

      Yiğit, İ. O.; Ateş, A. F.; Güvercin, Mehmet; Ferhatosmanoğlu, Hakan; Gedik, Buğra (IEEE, 2017-05)
      Günümüzde çağrı merkezlerindeki görüşme kayıtlarının sesten metne dönüştürülebilmesi görüşme kaydı metinleri üzerinde metin madenciliği yöntemlerinin uygulanmasını mümkün kılmaktadır. Bu çalışma kapsamında görüşme ...
    • Detection of underdeveloped hazelnuts from fully developed nuts by impact acoustics 

      Onaran, I.; Pearson, T. C.; Yardimci, Y.; Cetin, A. E. (American Society of Agricultural and Biological Engineers, 2006)
      Shell-to-kernel weight ratio is a vital measurement of quality in hazelnuts as it helps to identify nuts that have underdeveloped kernels. Nuts containing underdeveloped kernels may contain mycotoxin-producing molds, which ...
    • Discrimination between closed-and open-shell (Turkish) pistachio nuts using undecimated wavelet packet transform 

      Ince, N. F.; Goksu, F.; Tewfik, A. H.; Onaran, I.; Cetin, A. E.; Pearson, T. C. (American Society of Agricultural and Biological Engineers, 2008)
      Due to low consumer acceptance and the possibility of immature kernels, closed-shell pistachio nuts should be separated from open-shell nuts before reaching the consumer. A system using impact acoustics as a means of ...
    • Estimating the chance of success and suggestion for treatment in IVF 

      Mısırlı, Gizem (Bilkent University, 2013)
      In medicine, the chance of success for a treatment is important for decision making for the doctor and the patient. This thesis focuses on the domain of In Vitro Fertilization (IVF), where there are two issues: the first ...
    • Estimating the chance of success in IVF treatment using a ranking algorithm 

      Güvenir, H. A.; Misirli, G.; Dilbaz, S.; Ozdegirmenci, O.; Demir, B.; Dilbaz, B. (Springer, 2015)
      In medicine, estimating the chance of success for treatment is important in deciding whether to begin the treatment or not. This paper focuses on the domain of in vitro fertilization (IVF), where estimating the outcome of ...
    • Global vs local classification models for multi-sensor data fusion 

      Pippa, E.; Zacharaki, E. I.; Özdemir, A. T.; Barshan, Billur; Megalooikonomou, V. (ACM, 2018)
      The aim of this paper is to investigate feature extraction and fusion of information across a number of sensors in different spatial locations to classify temporal events. Although the common feature-level fusion allows ...
    • GOOWE-ML: a novel online stacked ensemble for multi-label classification in data streams 

      Büyükçakır, Alican (Bilkent University, 2019-07)
      As data streams become more prevalent, the necessity for online algorithms that mine this transient and dynamic data becomes clearer. Multi-label data stream classification is a supervised learning problem where each ...
    • Human visual cortical responses to specular and matte motion flows 

      Kam, T.-E.; Mannion, D.J.; Lee, S.-W.; Doerschner, K.; Kersten, D.J. (Frontiers Media S. A, 2015)
      Determining the compositional properties of surfaces in the environment is an important visual capacity. One such property is specular reflectance, which encompasses the range from matte to shiny surfaces. Visual estimation ...
    • Improving educational search and question answering 

      Yılmaz, Tolga (Bilkent University, 2016-08)
      Students use general web search engines (GSEs) as their primary source of research while trying to find answers to school related questions. Although GSEs are highly relevant for the general population, they may return ...
    • Investigation of Sensor Placement for Accurate Fall Detection 

      Ntanasis, P.; Pippa, E.; ÖZdemir, A. T.; Barshan, B.; Megalooikonomou, V. (Springer Verlag, 2017)
      Fall detection is typically based on temporal and spectral analysis of multi-dimensional signals acquired from wearable sensors such as tri-axial accelerometers and gyroscopes which are attached at several parts of the ...
    • İki durumlu bir beyin bilgisayar arayüzünde özellik çıkarımı ve sınıflandırma 

      Altındiş, Fatih; Yılmaz, B. (IEEE, 2017-10)
      Beyin bilgisayar arayüzü (BBA) teknolojisi motor nöronlarının özelliğini kaybeden ve hareket kabiliyeti kısıtlanmış ALS ve felçli hastalar gibi birçok kişinin dış dünya ile iletişimini sağlamaya yönelik kullanılmaktadır. ...
    • Local object patterns for representation and classification of colon tissue images 

      Olgun, G.; Sokmensuer, C.; Gunduz Demir, C. (Institute of Electrical and Electronics Engineers, 2014-07)
      This paper presents a new approach for the effective representation and classification of images of histopathological colon tissues stained with hematoxylin and eosin. In this approach, we propose to decompose a tissue ...
    • M/M/1 polling models with two finite queues 

      Daşçı, Abdullah (Bilkent University, 1995)
      Polling models are special kinds of queueing models where multiple-customer type single-stage is considered. In this thesis, first an overview and a classification of polling models will be given. Then two-costomer one ...
    • Machine-based classification of ADHD and nonADHD participants using time/frequency features of event-related neuroelectric activity 

      Öztoprak, H.; Toycan, M.; Alp, Y. K.; Arıkan, O.; Doğutepe, E.; Karakaş S. (Elsevier Ireland Ltd, 2017)
      Objective Attention-deficit/hyperactivity disorder (ADHD) is the most frequent diagnosis among children who are referred to psychiatry departments. Although ADHD was discovered at the beginning of the 20th century, its ...
    • Machine-based learning system: classification of ADHD and non-ADHD participants 

      Öztoprak, H.; Toycan, M.; Alp, Y. K.; Arıkan, Orhan; Doğutepe, E.; Karakaş, S. (IEEE, 2017)
      Attention-deficit/hyperactivity disorder (ADHD) is the most frequent diagnosis among children who are referred to psychiatry departments. Although ADHD was discovered at the beginning of the 20th century, its diagnosis is ...