Computer Science - Artificial Intelligence and Machine Learning (AIML) - Research area

Activities

Activities per year 2019 2021 2022 2024 2025

• 21 Pre-examination of doctoral thesis or acting as opponent to doctoral students or membership of doctoral thesis committee or board
• 19 Invited academic talk
• 8 Conference presentation
• 8 Academic keynote or plenary lecture
• 41 More
  • 4 Membership of a scientific or program committee of a conference or seminar
  • 4 Organization of a workshop, panel, session, tutorial or event
  • 4 Reviewer of scientific journal
  • 4 Hosting an academic visitor
  • 4 Non-academic public talk (public outreach)
  • 3 Chair or participant of a conference, workshop, panel, session, tutorial or event
  • 3 Evaluation of funding applications
  • 3 Position of trust in an academic community
  • 2 Membership of an organizing committee or other positions of trust of a conference or a seminar
  • 2 Position of trust in a society or network
  • 1 Participant of a conference, workshop, session, tutorial or event
  • 1 School engagement
  • 1 Membership of an editorial board
  • 1 Evaluation of significant academic activities
  • 1 Evaluation of other academic activities
  • 1 Work for advisory/policy/evaluation group or panel (public/government/UN/EU)
  • 1 Teaching merits
  • 1 Visiting an external academic institution

Activities per year

Search results

• Clustering students’ text form feedback data: comparison of eight vector space models

  Rybicki, J.-M. (Speaker), Hämäläinen, W. (Contributor), Malmi, L. (Contributor), Jung, A. (Contributor) & Pollari-Malmi, K. (Contributor)

  25 Sept 2024

  Activity: Talk or presentation types › Conference presentation

• The effect of written metalinguistic feedback on cognitive effort and revision success

  Rybicki, J.-M. (Speaker), Hämäläinen, W. (Contributor), Pitkänen, K. K. (Contributor) & Malmi, L. (Contributor)

  23 Aug 2023

  Activity: Talk or presentation types › Conference presentation

• Learning to Predict Drug Combination Responses

  Rousu, J. (Speaker)

  8 Mar 2022

  Activity: Talk or presentation types › Conference presentation

• Investigating Bayesian Neural Network Dynamics Models for Model-Based Reinforcement Learning

  Scannell, A. (Speaker), Solin, A. (Contributor) & Pajarinen, J. (Contributor)

  16 Nov 2022

  Activity: Talk or presentation types › Conference presentation

• Learning Trajectories of Hamiltonian Systems with Neural Networks

  Haitsiukevich, K. (Speaker) & Ilin, A. (Speaker)

  7 Sept 2022

  Activity: Talk or presentation types › Conference presentation

• Uncertainty in artificial intelligence: Models that know what they do not know

  Solin, A. (Speaker)

  13 Oct 2021

  Activity: Talk or presentation types › Conference presentation

• Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels

  Schultheis, E. (Speaker), Mohammadnia Qaraei, M. (Contributor) & Babbar, R. (Contributor)

  23 Apr 2021

  Activity: Talk or presentation types › Conference presentation

• Why state-of-the-art deep learning barely works as good as a linear classifier in extreme multi-label classification

  Mohammadnia Qaraei, M. (Speaker) & Babbar, R. (Contributor)

  2 Oct 2020

  Activity: Talk or presentation types › Conference presentation