Helsinki ICT Research Events

This event feed aggregates content from the Research Events feeds from the Helsinki Institute for Information Technology HIIT, Aalto University Department of Computer Science, and the University of Helsinki Department of Computer Science.

  • M.Sc. Joni Pajarinen will defend his doctoral dissertation Planning under uncertainty for large-scale problems with applications to wireless networking (Uudet yleiset päätöksentekomenetelmät tehostavat langatonta tiedonsiirtoa) on 7 February 2013 in lecture hall T2 (Computer Science building). The opponent is Dr. Francois Charpillet, National Institute of Research in Automatics and Computer Science (INRIA), France. The custodian is Prof. Erkki Oja.

    ...

  • Political scientist at HIIT

    Matti Nelimarkka, University of Helsinki

    Abstract:

    I talk about two themes: 1) a participation system for audiences, and 2) research on social media in the context of politics and elections. The participation system discussed in the first part is a communications tool developed at the Digital Content Communities group of HIIT. For example, during large scale lectures the system empowers the students to take part on the lecture, not to sit back and merely...

  • 04.02.2013 13:15–14:00
    HIIT seminar
    Computer Science Building, T2, Otaniemi

     

    Abstract:

    I talk about two themes: 1) a participation system for audiences, and 2) research on social media in the context of politics and elections. The participation system discussed in the first part is a communications tool developed at the Digital Content Communities group of HIIT. For example, during large scale lectures the system empowers the...

  • 28.01.2013 13:15–14:00
    HIIT seminar
    Aalto University, Computer Science Building, T2

    The talk has been cancelled due to speaker illness.

  • 25.01.2013 12:00–15:00
    Doctoral dissertation
    University of Helsinki Main Building, Auditorium XIII

    This thesis focuses on term weighting in short documents. I propose weighting approaches for assessing the importance of terms for three tasks: (1) document categorization, which aims to classify documents such as tweets into categories, (2) keyword extraction, which aims to identify and extract the most important words of a document, and (3) keyword association modeling,...

  • Life after yahoo! and overlapping correlation clustering

    Dr. Antti Ukkonen, HIIT

    Abstract:

    This talk has two parts. First I discuss some personal experiences while working at Yahoo! Research in Barcelona during the past three years. This will consist of anecdotes and lessons learned while being a researcher in a large corporation. I'll also talk a bit about what it's like to return to a university after having spent time in the "industry".

    The second part is more technical. I...

  • User modeling and other computational challenges at Finnish Institute of Occupational Health

    Dr. Kai Puolamaki, Finnish Institute of Occupational Health

    Abstract:

    This talk starts from the Finnish gross domestic product, but then focuses very soon at the Finnish Institute of Occupational Health (FIOH). The purpose of the talk is to give an overview of the research and other activities at FIOH and the problems in the fields psychology, medicine, and data analysis, as well as user...

  • 17.12.2012 12:00–15:00
    Doctoral dissertation
    Main Building Auditorium XII

    Metabolism is the system of chemical reactions sustaining life in the cells of
    living organisms. In this thesis we propose four independent computational
    studies on metabolic applications. In the first study we propose the first
    optimal algorithm for determining atom-to-atom correspondences between
    reactants and products in a chemical reaction. We follow up by utilizing the...

  • 14.12.2012 12:15–13:00
    HIIT seminar
    Lecture hall T5, ICS building

    Abstract: Despite significant advances in omics techniques, the identification of genes causing rare genetic diseases and the understanding of the molecular networks underlying those disorders remains difficult. Gene prioritization attempts to integrate multiple, heterogeneous data sources to identify candidate genes most likely to be associated with or causative for a disorder. Such strategies are useful...

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