Now showing items 1-14 of 14

    • Çağrı merkezi metin madenciliği yaklaşımı 

      Yigit, I. O.; Ates, A. F.; Guvercin, M.; Ferhatosmanoglu, H.; Gedik, B. (Institute of Electrical and Electronics Engineers Inc., 2017)
      Günümüzde çağrı merkezlerindeki görüşme kayıtlarının sesten metne dönüştürülebilmesi görüşme kaydı metinleri üzerinde metin madenciliği yöntemlerinin uygulanmasını mümkün kılmaktadır. Bu çalışma kapsamında görüşme ...
    • An eager regression method based on best feature projections 

      Aydın, T.; Güvenir, H. A. (Springer, 2001)
      This paper describes a machine learning method, called Regression by Selecting Best Feature Projections (RSBFP). In the training phase, RSBFP projects the training data on each feature dimension and aims to find the ...
    • 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 ...
    • Expression of IFITM1 in chronic myeloid leukemia patients 

      Akyerli, C. B.; Beksac, M.; Holko, M.; Frevel, M.; Dalva, K.; Özbek, U.; Soydan, E.; Özcan, M.; Özet, G.; İlhan, O.; Gürman, G.; Akan, H.; Williams, B. R. G.; Özçelik, T. (Elsevier, 2005)
      We investigated the peripheral blood gene expression profile of interferon induced transmembrane protein 1 (IFITM1) in sixty chronic myeloid leukemia (CML) patients classified according to new prognostic score (NPS). IFITM1 ...
    • A large-scale sentiment analysis for Yahoo! Answers 

      Küçüktunç, O.; Cambazoğlu, B. B.; Weber, I.; Ferhatosmanoğlu, Hakan (ACM, 2012)
      Sentiment extraction from online web documents has recently been an active research topic due to its potential use in commercial applications. By sentiment analysis, we refer to the problem of assigning a quantitative ...
    • Online learning under adverse settings 

      Özkan, Hüseyin (Bilkent University, 2015-05)
      We present novel solutions for contemporary real life applications that generate data at unforeseen rates in unpredictable forms including non-stationarity, corruptions, missing/mixed attributes and high dimensionality. ...
    • Predicting optimal facility location without customer locations 

      Yilmaz, E.; Elbasi, S.; Ferhatosmanoglu, H. (Association for Computing Machinery, 2017)
      Deriving meaningful insights from location data helps businesses make better decisions. One critical decision made by a business is choosing a location for its new facility. Optimal location queries ask for a location to ...
    • Prediction of failure of commercial banks in Turkey 

      Yağlı, Bülent (Bilkent University, 1996)
      The aim of this study is failure prediction in Turkish Banking Sector. The results of four prediction models are compared to find out the most efficient one. The models used in this study are: Discriminant Analysis, ...
    • Pressure-induced interlinking of carbon nanotubes 

      Yildirim, T.; Gülseren, O.; Kiliç, Ç.; Ciraci, S. (American Physical Society, 2000)
      We predict new forms of carbon consisting of one- and two-dimensional networks of interlinked single-wall carbon nanotubes, some of which are energetically more stable than van der Waals packing of the nanotubes on a ...
    • Reduced density matrix approach to phononic dissipation in friction 

      Özpineci, A.; Leitner, D. M.; Ciraci, S. (2000)
      Understanding mechanisms for energy dissipation from nanoparticles in contact with large samples is a central problem in describing friction microscopically. Calculation of the reduced density matrix appears to be the most ...
    • Seven tuning schemes for an ADALINE model to predict floor pressures in a subsonic cavity flow 

      Efe, M. Ö.; Debiasi, M.; Yan, P.; Özbay, H.; Samimy, M. (Sage Publications Ltd., 2009)
      This paper presents a simple yet effective one-step-ahead predictor based on an adaptive linear element (ADALINE). Several tuning schemes are studied to see whether the obtained model is consistent. The process under ...
    • Stability and plasticity : constructing cognitive agents 

      Bozyiğit, Öge (Bilkent University, 2006)
      The AI field is currently dominated by domain-specific approaches to intelligence and cognition instead of being driven by the aim of modeling general human intelligence and cognition. This is despite the fact that the ...
    • Temperature dependence of the energy of a vortex in a two-dimensional Bose gas 

      Rajagopal, K. K.; Tanatar, B.; Vignolo, P.; Tosi, M. P. (Elsevier, 2004)
      We evaluate the thermodynamic critical angular velocity Ωc(T) for creation of a vortex of lowest quantized angular momentum in a strictly two-dimensional Bose gas at temperature T, using a mean-field two-fluid model for ...
    • Use of schizophrenia and bipolar disorder polygenic risk scores to identify psychotic disorders 

      Calafato, M. S.; Thygesen, J. H.; Ranlund, S.; Zartaloudi, E.; Cahn, W.; Crespo-Facorro, B.; Díez-Revuelta, A.; Forti, M. D.; Hall, M. -H.; Iyegbe, C.; Jablensky, A.; Kahn, R.; Kalaydjieva, L.; Kravariti, E.; Lin, K.; McDonald, C.; McIntosh, A. M.; McQuillin, A.; Picchioni, M.; Rujescu, D.; Shaikh, M.; Toulopoulou, T.; Os, J. V.; Vassos, E.; Walshe, M.; Powell, J.; Lewis, C. M.; Murray, R. M.; Bramon, E. (2018)
      Background There is increasing evidence for shared genetic susceptibility between schizophrenia and bipolar disorder. Although genetic variants only convey subtle increases in risk individually, their combination into a ...