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Dr. Gayle Leen (now at deCODE genetics, Reykjavik), Docent Jaakko Peltonen and Professor Samuel Kaski of HIIT won the Award for Best Paper in Machine Learning at ECML PKDD 2011, the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. The winning paper, titled "Focused Multi-task Learning Using Gaussian Processes", presents a computational method for enhancing performance on a target task by asymmetrically making use of data from other tasks.
Research by Joanna Bergstrom-Lehtovirta, Antti Oulasvirta, and Stephen Brewster received the award for Best Note at MobileHCI'11 in Stockholm, Sweden. The paper studied the effect of increasing walking speed on target acquisition performance on a touchscreen device.
Reference to the paper:
Bergstrom-Lehtovirta, J., Oulasvirta, & Brewster, S. (2011). The effect of walking on target acquisition on a touchscreen interface. Proceedings of Mobile HCI 2011, ACM Press, New York.
CALL FOR APPLICATIONS FOR FUNDING RESEARCH EXCHANGE BETWEEN ICSI Berkeley AND HIIT - DEADLINE 16.9.2011