Now showing items 1-16 of 16

    • Adaptive ensemble learning with confidence bounds for personalized diagnosis 

      Tekin, Cem; Yoon, J.; Van Der Schaar, M. (AAAI Press, 2016)
      With the advances in the field of medical informatics, automated clinical decision support systems are becoming the de facto standard in personalized diagnosis. In order to establish high accuracy and confidence in ...
    • An analysis of manipulated information and respective alternative costs in information systems and in decision making structures 

      Güvenen O.; Öztürk, M.H. (International Institute of Informatics and Systemics, IIIS, 2006)
      Today Information Technologies create base for the most important decision support systems for the practices in academia, business and politics. The effectiveness and success of operations that are supported by information ...
    • Balance in resource allocation problems: a changing reference approach 

      Erkan, Hale (Bilkent University, 2018-06)
      Fairness has become one of the primary concerns in resource allocation problems, especially in settings which are associated with public welfare. Using a pure e ciency maximizing approach may not be applicable while ...
    • A comprehensive methodology for determining the most informative mammographic features 

      Wu, Y.; Alagoz O.; Ayvaci, M.U.S.; Munoz Del Rio, A.; Vanness, D.J.; Woods, R.; Burnside, E.S. (2013)
      This study aims to determine the most informative mammographic features for breast cancer diagnosis using mutual information (MI) analysis. Our Health Insurance Portability and Accountability Act-approved database consists ...
    • Decision support for adopting SPLE with transit-PL 

      Kalender, Mert Emin; Tüzün, E.; Tekinerdoğan, Bedir (ACM, 2013)
      It is generally acknowledged that the decision to adopt a software product line engineering (SPLE) approach needs to be performed carefully due to the di• erent risks involved in taking such an important decision. To ...
    • The effects of structural characteristics of explanations on use of a DSS 

      Gönül, M. S.; Önkal D.; Lawrence, M. (Elsevier, 2006)
      Research in the field of expert systems has shown that providing supporting explanations may influence effective use of system developed advice. However, despite many studies showing the less than optimal use made of DSS ...
    • 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 ...
    • Feedback-labelling synergies in judgmental stock price forecasting 

      Goodwin, P.; Önkal-Atay, D.; Thomson, M. E.; Pollock, A. C.; Macaulay, A. (Elsevier, 2004)
      Research has suggested that outcome feedback is less effective than other forms of feedback in promoting learning by users of decision support systems. However, if circumstances can be identified where the effectiveness ...
    • Incorporating just-in-time into a decision support system environment 

      Oǧuz, Ceyda; Dinçer, Cemal (Elsevier BV, 1991)
      In this paper, a Decision Support System is proposed for a Just-In-Time production system. The Decision Support System includes three components: database, model base, and interface. The database contains the predefined ...
    • Inequity averse optimization in operational research 

      Karsu, Ö.; Morton, A. (Elsevier, 2015)
      There are many applications across a broad range of business problem domains in which equity is a concern and many well-known operational research (OR) problems such as knapsack, scheduling or assignment problems have been ...
    • Joint lot sizing and tool management in a CNC environment 

      Aktuük, M. S.; Önen, S. (Elsevier, 1999)
      We propose a new algorithm to solve lot sizing, tool allocation and machining conditions optimization problems simultaneously to minimize total production cost in a CNC environment. Most of the existing lot sizing and tool ...
    • Judgmental adjustments of previously adjusted forecasts 

      Önkal D.; Gönül, M. S.; Lawrence, M. (Wiley-Blackwell Publishing, 2008)
      Forecasts are important components of information systems. They provide a means for knowledge sharing and thus have significant decision-making impact. In many organizations, it is quite common for forecast users to receive ...
    • Order of limits in reputations 

      Dalkıran, N. A. (Springer, 2016)
      The fact that small departures from complete information might have large effects on the set of equilibrium payoffs draws interest in the adverse selection approach to study reputations in repeated games. It is well known ...
    • Predicting pilot behavior in medium-scale scenarios using game theory and reinforcement learning 

      Yildiz, Y.; Agogino, A.; Brat, G. (American Institute of Aeronautics and Astronautics Inc., 2014)
      A key element to meet the continuing growth in air traffic is the increased use of automation. Decision support systems, computer-based information acquisition, trajectory planning systems, high-level graphic display ...
    • 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 ...
    • A simulation-based support tool for data-driven decision making: operational testing for dependence modeling 

      Biller, B.; Akçay, Alp; Çorlu, C.; Tayur, S. (IEEE, 2014)
      Dependencies occur naturally between input processes of many manufacturing and service applications. When the dependence parameters are known with certainty, the failure to factor the dependencies into decisions is well ...