Sandor Szedmak

  • Phone+358503044380
  • Aalto SCI Computer Science Konemiehentie 2

20062018

Research output per year

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Personal profile

Education/Academic qualification

Doctor of Philosophy in Natural Sciences

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Research Output

  • 6 Conference contribution
  • 5 Article
  • 1 Chapter

Integrating Multi-Purpose Natural Language Understanding, Robot's Memory, and Symbolic Planning for Task Execution in Humanoid Robots

Wächter, M., Ovchinnikova, E., Wittenbeck, V., Kaiser, P., Szedmak, S., Mustafa, W., Kraft, D., Krüger, N., Piater, J. & Asfour, T., 2018, In : Robotics and Autonomous Systems. 99, p. 148-165

Research output: Contribution to journalArticleScientificpeer-review

  • Learning with multiple pairwise kernels for drug bioactivity prediction

    Cichonska, A., Pahikkala, T., Szedmak, S., Julkunen, H., Airola, A., Heinonen, M., Aittokallio, T. & Rousu, J., 1 Jul 2018, In : Bioinformatics. 34, 13, p. i509-i518

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 4 Citations (Scopus)
    75 Downloads (Pure)

    Liquid-chromatography retention order prediction for metabolite identification

    Bach, E., Szedmak, S., Brouard, C., Boecker, S. & Rousu, J., 1 Sep 2018, In : Bioinformatics. 34, 17, p. 875-883 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    10 Citations (Scopus)
    56 Downloads (Pure)

    Decreasing Uncertainty in Planning with State Prediction

    Krivic, S., Cashmore, M., Magazzeni, D., Ridder, B., Szedmak, S. & Piater, J., Aug 2017, Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17). Sierra, C. (ed.). p. 2032-2038

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  • Initial state prediction in planning

    Krivic, S., Cashmore, M., Ridder, B., Magazzeni, D., Szedmak, S. & Piater, J., 1 Jan 2017, WS-17-01: Artificial Intelligence and Operations Research for Social Good; WS-17-02: Artificial Intelligence, Ethics, and Society; WS-17-03: Artificial Intelligence for Connected and Automated Vehicles; WS-17-04: Artificial Intelligence for Cyber Security; WS-17-05: Artificial Intelligence for Smart Grids and Buildings; WS-17-06: Computer Poker and Imperfect Information Games; WS-17-07: Crowdsourcing, Deep Learning and Artificial Intelligence Agents; WS-17-08: Distributed Machine Learning; WS-17-09: Joint Workshop on Health Intelligence; WS-17-10: Human-Aware Artificial Intelligence; WS-17-11: Human-Machine Collaborative Learning; WS-17-12: Knowledge-Based Techniques for Problem Solving and Reasoning; WS-17-13: Plan, Activity, and Intent Recognition; WS-17-14: Symbolic Inference and Optimization; WS-17-15: What's Next for AI in Games?. p. 750-757 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  • Projects

    Date-Driven Support for Digital Health

    Rousu, J., Mapar, P., Sivula, T., Cichonska, A., Nguyen Van, L., Brouard, C., Szedmak, S. & Julkunen, H.

    01/01/201621/09/2018

    Project: Academy of Finland: Other research funding

    LiF / Rousu

    Rousu, J., Jokinen, E., Mannerström, H., Mapar, P., Heinonen, M. & Szedmak, S.

    01/08/201431/12/2017

    Project: Business Finland: Other research funding