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.

  • 15.08.2014 10:15–11:15
    HIIT seminar
    Kumpula, Exactum B222
    Title: Constraint-based Causal Discovery: Conflict Resolution with Answer Set Programming
     
    Abstract: Recent approaches to causal discovery based on Boolean satisfiability solvers have opened new opportunities to consider search spaces for causal models with both feedback cycles and unmeasured confounders. However, the available methods have so far not been able to provide a...
  • Code word design for DNA computing with consideration of hybridization kinetics

    Hiroaki Hata, University of Tokyo, Japan

    Abstract:

    Further understanding of DNA hybridization kinetics has new urgency because recent DNA network systems often depends critically on hybridization rates particularly under isothermal conditions. Indeed, sequence-dependent decrease of performance for hybridization-based oligonucleotide networks has been reported, and the mechanism is still not understood....

  • 11.08.2014 13:15–14:00
    HIIT seminar
    Aalto University, Computer Science Building, lecture hall T2

    Abstract:
    Further understanding of DNA hybridization kinetics has new
    urgency because recent DNA network systems often depends critically on
    hybridization rates particularly under isothermal conditions. Indeed,
    sequence-dependent decrease of performance for hybridization-based
    oligonucleotide networks has been reported, and the mechanism is...

  • 30.06.2014 12:00–18:00
    Doctoral dissertation
    Exactum, CK112, Kumpula campus

    Methods for Finding Interesting Nodes in Weighted Graphs

    With the increasing amount of graph-structured data available, finding interesting objects, i.e., nodes in graphs, becomes more and more important. In this thesis we focus on finding interesting nodes and sets of nodes in graphs or networks. We propose several definitions of node interestingness as well as different methods to...

  • M.Sc. Janne Toivola will defend his doctoral dissertation Advances in Wireless Damage Detection for Structural Health Monitoring on 18 June 2014 in lecture hall T2 (Computer Science building). The opponent is Dr. Arno Knobbe, Leiden University, The Netherlands. The custodian is Prof. Juho Rousu.

    Announcement (fi, pdf)

  • Electrical measures of importance for network edges

    Charalampos Mavroforakis, Boston University, USA

    Abstract:

    Measures that quantify the importance of nodes and edges in networks are valuable in the analysis of various types of data, including social, biological, computer networks and more. With rare exceptions, the applicability of such measures to large datasets is hindered by the lack of fast algorithms for their computation.

    In this talk, we mainly focus on the importance...

  • 16.06.2014 13:15–14:00
    HIIT seminar
    Aalto University, Computer Science Building, lecture hall T2

    Abstract:
    Measures that quantify the importance of nodes and edges in networks are
    valuable in the analysis of various types of data, including social, biological,
    computer networks and more. With rare exceptions, the applicability of such
    measures to large datasets is hindered by the lack of fast algorithms for their
    computation.
    In...

  • 13.06.2014 12:00–14:00
    Doctoral dissertation
    University of Helsinki main building, lecture hall XV (Unioninkatu 34, 4th floor),

    Contemporary social scientists describe the current societal circumstances as the late modern era, which is characterized by an abundance of both options and uncertainties. Theorists sometimes associate these characteristics with the development of information and communication technologies (ICTs). Some argue that computer-mediated, networked...

  • 13.06.2014 10:15–10:15
    HIIT seminar
    Kumpula, Exactum B119
    Title: Tilted Variational Bayes
     
    Abstract: We present a novel method for approximate inference. Using some of the constructs from expectation propagation (EP), we derive a lower bound of the marginal likelihood in a similar fashion to variational Bayes (VB). The method combines some of the benefits of VB and EP: it can be used with light-tailed likelihoods (where traditional VB...
  • 12.06.2014 10:15–10:15
    HIIT seminar
    Kumpula, Exactum B119
    Title: Data Visualization by Neighbor Embedding
     
    Abstract: Modern data analysis is not only massive but also complex in terms of various structural information. Visual representations and interaction techniques take advantage of the human eye's broad bandwidth pathway into the mind to allow users to see, explore, and understand large amounts of information in an efficient way....

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