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. Yu Qi will defend her doctoral dissertation Machine Learning for Corporate Bankruptcy Prediction on 24 May 2013 in lecture hall AS2 (TUAS building). The opponent is Prof. Christophe Biernacki, Université Lille 1, France. The custodian is Prof. Olli Simula.

    Announcement (fi, pdf)

  • 24.05.2013 10:15–11:00
    HIIT seminar
    Exactum, B119

    TITLE
    Track My Life: Numbers & Insights on a Cross Platform Smartphone App

    ABSTRACT
    Track My Life is a smartphone app that is used by Nokia CEO Stephen Elop and...

  • 21.05.2013 11:15–12:00
    Other event
    C222, Exactum

    Our visitors from Petrozavodsk State University will give presentations about their Faulty and Department.

     

    Dean of the Faculty of Mathematics Alexei Varfolomeev: The Faculty of Mathematics at PetrSU - current situation and possibilities for cooperation

    Head of the Department of Computer Science Iurii A. Bogoiavlenskii: Department of Computer Science: Study and Research

     

    ...

  • Real-world challenges for mining streaming data: lessons learned in chemical industry

    Dr. Indre Zliobaite, Aalto University

    Abstract:

    Nowadays large amounts of streaming industrial, transactional or sensing data present new opportunities for real time analytics and personalized services. Predictive models, built on such data, need to be robust to ever changing environment and be able to autonomously diagnose and update themselves taking into account the most recent data, otherwise...

  • 20.05.2013 13:15–14:00
    HIIT seminar
    Aalto University, Computer Science Building, lecture hall T2

    Abstract
    Nowadays large amounts of streaming industrial, transactional or sensing data present new opportunities for real time analytics and personalized services. Predictive models, built on such data, need to be robust to ever changing environment and be able to autonomously diagnose and update themselves taking into account the most recent data, otherwise their...

  • 17.05.2013 10:15–11:00
    HIIT seminar
    Exactum, B119

    TITLE
    Local Structure Discovery in Bayesian Networks

    ABSTRACT
    Learning a Bayesian network structure from data is an NP-hard problem and thus exact algorithms are feasible...

  • Big Data Rampage

    Dr. Niko Vuokko, Metrify.io, Finland

    Abstract:

    Business requirements and aspirations for data solutions are constantly changing. How does the research sector stay relevant to the increasingly data intensive world? This talk discusses vistas to contemporary industrial data science, contrasts to consider, and big trends that forge the data science of tomorrow.

    About the speaker:

    Niko Vuokko is a data science expert who has delivered data solutions for IBM...

  • 13.05.2013 13:15–14:00
    HIIT seminar
    Aalto University, Computer Science Building, T2

    Abstract: Business requirements and aspirations for data solutions are constantly changing. How does the research sector stay relevant to the increasingly data intensive world? This talk discusses vistas to contemporary industrial data science, contrasts to consider, and big trends that forge the data science of tomorrow.

    Bio: Niko Vuokko is a data science expert who has...

  • 10.05.2013 10:15–11:00
    HIIT seminar
    Exactum, B119

    ABSTRACT
    We present a novel metric for information capacity of full-body movements. It accommodates HCI scenarios involving continuous movement of multiple limbs. Throughput is calculated as mutual information in repeated motor sequences. It is affected by the complexity of movements and the precision with which an actor reproduces them. Computation requires...

  • 08.05.2013 12:00–16:00
    Defence of thesis
    University of Helsinki Main Building, Auditorium XII, Unioninkatu 34

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