Browsing by Keywords "Ranking"

Now showing items 1-9 of 9

    • Can who-edits-what predict edit survival? 

      Yardım, Ali Batuhan; Maystre, L.; Kristof, V.; Grossglauser, M. (ACM, 2018-08)
      As the number of contributors to online peer-production systems grows, it becomes increasingly important to predict whether the edits that users make will eventually be beneficial to the project. Existing solutions either ...

    • 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 ...

    • Incorporating the surfing behavior of web users into PageRank 

      Ashyralyyev, Shatlyk; Cambazoğlu, B. B.; Aykanat, Cevdet (ACM, 2013-10-11)
      In large-scale commercial web search engines, estimating the importance of a web page is a crucial ingredient in ranking web search results. So far, to assess the importance of web pages, two different types of feedback ...

    • Incorporating the surfing behavior of web users into PageRank 

      Ashyralyyev, Shatlyk (Bilkent University, 2013)
      One of the most crucial factors that determines the effectiveness of a large-scale commercial web search engine is the ranking (i.e., order) in which web search results are presented to the end user. In modern web search ...

    • Ranking instances by maximizing the area under ROC curve 

      Guvenir, H. A.; Kurtcephe, M. (Institute of Electrical and Electronics Engineers, 2013)
      In recent years, the problem of learning a real-valued function that induces a ranking over an instance space has gained importance in machine learning literature. Here, we propose a supervised algorithm that learns a ...

    • Risk estimation by maximizing area under receiver operating characteristics curve with application to cardiovascular surgery 

      Kurtcephe, Murat (Bilkent University, 2010)
      Risks exist in many different domains; medical diagnoses, financial markets, fraud detection and insurance policies are some examples. Various risk measures and risk estimation systems have hitherto been proposed and ...

    • Self-adaptive randomized and rank-based differential evolution for multimodal problems 

      Urfalioglu, O.; Arikan, O. (Springer, 2011-01-15)
      Differential Evolution (DE) is a widely used successful evolutionary algorithm (EA) based on a population of individuals, which is especially well suited to solve problems that have non-linear, multimodal cost functions. ...

    • Unsupervised segmentation and classification of cervical cell images 

      Gençtav, A.; Aksoy, S.; Önder, S. (Elsevier BV, 2012-12)
      The Pap smear test is a manual screening procedure that is used to detect precancerous changes in cervical cells based on color and shape properties of their nuclei and cytoplasms. Automating this procedure is still an ...