Information, Complexity and Learning research group / Teemu Roos

International and National Collaboration Publications and projects within past five years.

Projects 2017 2021

Publications 2012 2019

Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search

Jääsaari, E., Hyvönen, V. & Roos, T., 17 Apr 2019, Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II. Cham: Springer, p. 590-602 13 p. (Lecture Notes in Artificial Intelligence; vol. 11440).

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

Open Access
File

Learning Non-parametric Markov Networks with Mutual Information

Leppä-Aho, J., Räisänen, S., Yang, X. & Roos, T., 2018, Proceedings of the Ninth International Conference on Probabilistic Graphical Models. Kratochvíl, V. & Studený, M. (eds.). Vol. 72. p. 213-224 12 p. (Proceedings of Machine Learning Research; vol. 72).

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

Open Access

Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets

Jääsaari, E., Leppä-Aho, J., Silander, T. & Roos, T., 2018, Proceedings of 29th International Conference on Algorithmic Learning Theory. Janoos, F., Mohri, M. & Sridharan, K. (eds.). Vol. 83. p. 470-488 (Proceedings of Machine Learning Research; vol. 83).

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

Open Access

Quantitative Methods for the Analysis of Medieval Calendars

Heikkilä, T. M. & Roos, T. T., Dec 2018, In : Digital Scholarship in the Humanities : DSH . 33, 4, p. 766–787 22 p.

Research output: Contribution to journalArticleScientificpeer-review

Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures

Silander, T., Leppä-Aho, J., Jääsaari, E. & Roos, T., 2018, Proceedings of the 21st International Conference on Ar- ticial Intelligence and Statistics (AISTATS) 2018. Storkey, A. & Perez-Cruz, F. (eds.). PMLR, p. 948-957 10 p. (Proceedings of Machine Learning Research; vol. 84).

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

Open Access

Activities 2010 2017

UAI 2017 (Event)

Teemu Roos (Programme Committee Member)
2017

Activity: Publication peer-review and editorial work typesPeer review of manuscripts

Artificial Intelligence: What, How, Why and other Big Questions

Teemu Roos (Speaker)
27 Oct 2017

Activity: Talk or presentation typesInvited talk

Tutkas-seminaari: Suomi digitutkimuksen huipulle

Teemu Roos (Speaker: Keynote)
1 Nov 2017

Activity: Participating in or organising an event typesPublic Talks

Studia Stemmatologica VII

Teemu Roos (Invited speaker)
17 May 201719 May 2017

Activity: Talk or presentation typesInvited talk

Digital Classics/Medieval Studies Workshop

Teemu Roos (Invited speaker)
31 May 20171 Jun 2017

Activity: Talk or presentation typesInvited talk

Prizes

Best Paper Honorable Mention Award

Teemu Roos (Recipient), 30 Apr 2013

Prize: Prizes and awards

Press / Media

Time for the best of the world

Teemu Roos

06/05/2019

1 item of media coverage

Press/Media: Press / Media

Democratising AI knowledge to inform ethical choices

Teemu Roos

13/04/2019

1 item of media coverage

Press/Media: Press / Media

Finland to teach 1% of citizens AI basics

Teemu Roos

05/02/2019

1 item of media coverage

Press/Media: Press / Media

A country’s ambitious plan to teach anyone the basics of AI

Teemu Roos

15/01/2019

1 item of media coverage

Press/Media: Press / Media

Finland’s grand AI experiment

Teemu Roos

02/01/2019

1 item of media coverage

Press/Media: Press / Media