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Träfflista för sökning "hsv:(NATURVETENSKAP) hsv:(Data och informationsvetenskap) ;mspu:(conferencepaper);pers:(Ekenberg Love)"

Search: hsv:(NATURVETENSKAP) hsv:(Data och informationsvetenskap) > Conference paper > Ekenberg Love

  • Result 1-10 of 99
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1.
  • Sutinen, Martti, et al. (author)
  • Web-Based Analytical Decision Support System
  • 2010
  • In: Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10. - : IEEE conference proceedings. - 9781424481347 - 9781424481354 ; , s. 575-579
  • Conference paper (peer-reviewed)abstract
    • This paper presents a web-application supporting structured decision modelling and analysis. The application allows for decision modelling with respect to different preferences and views, allowing for numerically imprecise and vague background probabilities, values, and criteria weights, which further can be adjusted in an interactive fashion when considering calculated decision outcomes. The web-application is based on a decision tool that has been used in a large number of different domains over the last 15 years, ranging from investment decision analysis for companies to public decision support for local governments.
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2.
  • Ekenberg, Love, et al. (author)
  • Second order effects in interval valued decision graph models
  • 2005
  • In: Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence. - : AAAI Press. - 1577352343 ; , s. 728-733
  • Conference paper (peer-reviewed)abstract
    • Second-order calculations may significantly increase a decision maker's understanding of a decision situation when handling aggregations of imprecise representations, as is the case in decision trees or influence diagrams, while the use of only first-order results gives an incomplete picture. The results apply also to approaches which do not explicitly deal with second-order distributions, instead using only first-order concepts such as upper and lower bounds.
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3.
  • Danielson, Mats, et al. (author)
  • Decideit 3.0 : Software for Second-Order Based Decision Evaluations
  • 2019
  • In: Proceedings of Machine Learning Research. - : JMLR-JOURNAL MACHINE LEARNING RESEARCH. ; , s. 121-124, s. 121-124
  • Conference paper (peer-reviewed)abstract
    • In this paper, we discuss representation and evaluation in the DecideIT 3.0 decision tool which is based on a belief mass interpretation of the background information. The decision components are imprecise in terms of intervals and qualitative estimates and we emphasise how multiplicative and additive aggregations influence the resulting belief distribution over the expected values.
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  • Kahiigi Kigozi, Evelyn, 1974-, et al. (author)
  • Criticism of e-learning Adoption and Use in Developing Country Contexts
  • 2009
  • In: IADIS International Conference e-Learning 2009. - 9789728924836 ; , s. 273-277
  • Conference paper (peer-reviewed)abstract
    • While e-learning has been widely accepted and used there has been only very limited benefit to the learning process and its effectiveness. This is especially critical for developing countries where the integration of “e” into the learning process is mostly in the development stages, and the demand for the required investment in technology vis-à-vis institutional resources is disproportionately high. This paper provides a picture of the current e-learning implementation trends in developing countries, highlighting the challenges as well as suggesting strategies for effective adoption and use. The analysis of issues indicates 1) the need to move from fragmented approaches that mainly focus on ICT infrastructure acquisition to approaches that support adoption and utilization of e-learning to support student learning; 2) that policy formulation; transforming the pedagogical culture; utilization of the available ICTs, student involvement, training and localization of content among other factors are key aspects to be addressed if e-learning implementations within developing country contexts is to bring real benefit.    
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6.
  • Kahiigi Kigozi, Evelyn, 1974-, et al. (author)
  • Explorative Study of E-learning in Developing Countries : A Case of the Uganda Education System
  • 2008
  • In: IADIS International Conference e-Learning 2008. - 9789728924584 ; , s. 195-199
  • Conference paper (peer-reviewed)abstract
    • The development and use of e-learning in education has gained global recognition as a learning method that facilitates the teaching and learning processes. As a result it comes as no surprise that, education institutions have been forced to embrace new education strategies to a large extent due to the increasing student needs seeking to constantly acquire and apply new knowledge and skills. This paper provides an overview of e-learning development in the Uganda Education System. It briefly highlights ICT developments in Uganda at the different education levels and how they impact elearning. The paper further discusses emerging issues from which we develop theoretical assumptions aimed at realizing suitable approaches for effective adoption and utilization of e-learning to support teaching and learning process at the higher education level for which we seek to test.    
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7.
  • Riabacke, Mona, et al. (author)
  • Public Decision Making Support: A Developing Country Perspective
  • 2010
  • In: IST-Africa 2010 Conference Proceedings. - : IIMC International Information Management Corp. - 9781905824199 ; , s. 1-6
  • Conference paper (peer-reviewed)abstract
    • The aim of this paper is to discuss a method for public decision making with decision support in developing countries in Africa. It integrates two academic fields: decision theory and computer-aided decision support on the one hand, and political science and e-democracy on the other. The method suggested deals with the problem of communication within the governmental body, as well as externally to the public. It supports decision making by a methodical stepwise procedure, formal modelling, and analysis. The result is a well-organized and transparent decision making process. The model is based on previous research and case studies in Sweden and Hungary. One major challenge is to develop a decision support adapted to local conditions and needs while preserving integrity of the method. Potential benefits range from better investment decisions, improved risk management, to increased transparency and governmental trust.
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10.
  • Danielson, Mats, et al. (author)
  • Cross-Disciplinary Research in Analytic Decision Support Systems
  • 2006
  • In: ITI 2006. - Zagreb : University Computing Centre SRCE, University of Zagreb. - 9537138054 ; , s. 123-128
  • Conference paper (peer-reviewed)abstract
    • A main problem in decision support  contexts is that unguided decision making is difficult and can lead to inefficient decision processes and undesired consequences. Therefore, decision support systems (DSSs) are of prime concern to any organization and there have been numerous approaches to delivering decision support from, e.g., computational, mathematical, financial, philosophical, psychological, and sociological angles. A key observation, however, is that effective and efficient decision making is not easily achieved by using methods from one discipline only. This paper describes some efforts made by the DECIDE Research Group to approach DSS development and decision making  tools in a cross-disciplinary way.
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  • Result 1-10 of 99

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