• PL 68 (Pietari Kalmin katu 5)

    00014

    Finland

  • PL 68 (Pietari Kalmin katu 5), A322

    HELSINGIN YLIOPISTO

    Finland

  • Finland

20042021
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Publications 2004 2019

2019

AI-generated content: Authorship and inventorship in the age of artificial intelligence

Ballardini, R., He, K. & Roos, T., 2019, Online Distribution of Content in the EU. Pihlajarinne, T., Vesala, J. & Hokkila, O. (eds.). Cheltenham: Edward Elgar, p. 117-135 19 p.

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

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
2018

An application of storage-optimal MatDot codes for coded matrix multiplication: Fast k-nearest neighbors estimation

Sheth, U., Dutta, S., Chaudhari, M., Jeong, H., Yang, Y., Kohonen, J., Roos, T. & Grover, P., Dec 2018, 2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA). IEEE, p. 1113-1120

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

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 Artificial 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
2017

Learning Gaussian graphical models with fractional marginal pseudo-likelihood

Leppä-Aho, J., Pensar, J., Roos, T. T. & Corander, J., 11 Jan 2017, In : International Journal of Approximate Reasoning. 83, p. 21-42 22 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

On Model Selection, Bayesian Networks, and the Fisher Information Integral

Zou, Y. & Roos, T., Jan 2017, In : New Generation Computing. 35, 1, p. 5-27 23 p.

Research output: Contribution to journalArticleScientificpeer-review

File

Proceedings of the Tenth Workshop on Information Theoretic Methods in Science and Engineering

Jacquet, P. (ed.), Leppä-Aho, J. (ed.) & Roos, T. (ed.), 2017, Helsinki: Department of Computer Science, University of Helsinki. 43 p. (Series of Publications B; vol. B-2017-3)

Research output: Book/ReportCommissioned report

Open Access

Representing local structure in Bayesian networks by Boolean functions

Zou, Y., Pensar, J. & Roos, T., 1 Aug 2017, In : Pattern Recognition Letters. 95, p. 73-77 5 p.

Research output: Contribution to journalArticleScientificpeer-review

2016

Digital Scholarship in the Humanities: Special Issue on Studia Stemmatologica

Heikkilä, T. (ed.) & Roos, T. (ed.), Sep 2016, Oxford University Press. (Digital Scholarship in the Humanities; vol. 31, no. 3)

Research output: Book/ReportAnthology or special issue

Fast Nearest Neighbor Search through Sparse Random Projections and Voting

Hyvönen, V., Pitkänen, T., Tasoulis, S., Jääsaari, E., Tuomainen, R., Wang, L., Corander, J. I. & Roos, T., 2016, Proceedings of the 2016 IEEE Conference on Big Data. New York, NY: IEEE, p. 881-888 8 p.

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

File

Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data Framework

Wang, L., Tasoulis, S., Roos, T. & Kangasharju, J., 2016, In : IEEE Transactions on Big Data. 2, 3, p. 219-233 15 p.

Research output: Contribution to journalArticleScientificpeer-review

Manifold Visualization via Short Walks

Zhao, Y., Tasoulis, S. & Roos, T., 2016, EuroVis 2016: Eurographics / IEEE VGTC Conference on Visualization 2016, Groningen, The Netherlands June 6 – 10, 2016: Short Papers. Bertini, E., Elmqvist, N. & Wischgoll, T. (eds.). The Eurographics Association, p. 85-89 5 p.

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

Open Access

Maximum Parsimony and the Skewness Test: A Simulation Study of the Limits of Applicability

Määttä, J. & Roos, T., 1 Apr 2016, In : PLoS One. 11, 4, 21 p., e0152656.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Minimum Description Length Principle

Roos, T., 2016, Encyclopedia of Machine Learning and Data Mining. Sammut, C. & Webb, G. (eds.). New York: Springer Science+Business Media, 4 p.

Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia / dictionaryProfessional

Oral fairy tale or literary fake? Investigating the origins of Little Red Riding Hood using phylogenetic network analysis

Tehrani, J., Nguyen, Q. & Roos, T., Sep 2016, In : Digital Scholarship in the Humanities : DSH . 31, 3, p. 611-636 26 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access

Proceedings of the Ninth Workshop on Information Theoretic Methods in Science and Engineering

Rissanen, J. J. (ed.), Leppä-Aho, J. L. A. (ed.), Roos, T. T. (ed.) & Myllymäki, P. J. (ed.), 2016, Helsinki: University of Helsinki, Department of Computer Science. 47 p. (Series of Publications B; vol. B-2016-2)

Research output: Book/ReportCommissioned report

Robust Sequential Prediction in Linear Regression with Student’s t-distribution

Määttä, J. & Roos, T., Jan 2016, ISAIM 2016 : International Symposium on Artificial Intelligence and Mathematics, Fort Lauderdale, FL. January 4–6, 2016 . Helsinki Institute for Information Technology HIIT

Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

Open Access

Sparse Logistic Regression with Logical Features

Zou, Y. & Roos, T., 2016, Advances in Knowledge Discovery and Data Mining : 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I . Khan, L., Bailey, J., Washio, T., Dobbie, G., Huang, J. Z. & Wang, R. (eds.). Cham: Springer International Publishing AG, p. 316-327 12 p. (Lecture Notes in Computer Science; vol. 9651).

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

File

Subset Selection in Linear Regression using Sequentially Normalized Least Squares: Asymptotic Theory

Määttä, J., Schmidt, D. F. & Roos, T., Jun 2016, In : Scandinavian Journal of Statistics. 43, 2, p. 382-395 14 p.

Research output: Contribution to journalArticleScientificpeer-review

Tekoäly etsii ratkaisuja ja oppii: Tutkijan pöydältä

Roos, T. T., Oct 2016, In : Chydenius. 2016, 3, p. 39-39 1 p.

Research output: Contribution to journalArticleGeneral public

Open Access

Thematic Section on Studia Stemmatologica

Heikkilä, T. & Roos, T., Sep 2016, In : Digital Scholarship in the Humanities : DSH . 31, 3, p. 520-522 3 p.

Research output: Contribution to journalArticleScientificpeer-review

2015

Achievability of asymptotic minimax regret by horizon-dependent and horizon-independent strategies

Watanabe, K. & Roos, T. T., Nov 2015, In : Journal of Machine Learning Research. 16, p. 2357−2375 9 p.

Research output: Contribution to journalArticleScientificpeer-review

Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data

Eggeling, R., Roos, T., Myllymäki, P. & Grosse, I., 9 Nov 2015, In : BMC Bioinformatics. 16, 15 p., 375.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Kvasir: Seamless Integration of Latent Semantic Analysis-Based Content Provision into Web Browsing

Wang, L., Tasoulis, S., Roos, T. & Kangasharju, J., 2015, WWW '15 Companion Proceedings of the 24th International Conference on World Wide Web. Geneva: International World Wide Web Conferences Steering Committee, p. 251-254 4 p.

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

Likelihood-Based Inference of Phylogenetic Networks from Sequence Data by PhyloDAG

Nguyen, Q. & Roos, T. T., 2015, Algorithms for Computational Biology : Second International Conference, AlCoB 2015, Mexico City, Mexico, August 4-5, 2015, Proceedings. Horia Dediu, A., Hernández Quiroz, F., Martín-Vide, C. & Rosenblueth, D. A. (eds.). Cham: Springer International Publishing AG, p. 126-140 15 p. (Lecture Notes in Computer Science - Lecture Notes in Bioinformatics; vol. 9199).

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

Open Access

On Model Selection, Bayesian Networks, and the Fisher Information Integral

Zou, Y. & Roos, T. T., 2015, Advanced Methodologies for Bayesian Networks: Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015, Proceedings . Suzuki, J. & Ueno, M. (eds.). Cham: Springer International Publishing AG, p. 122-135 14 p. (Lecture notes in computer science; vol. 9505)(Lecture notes in artificial intelligence).

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

Open Access
File

Parvum Lexicon Stemmatologicum

Roelli, P. (ed.), Macé, C. (ed.), Halonen, M. K. (ed.), Buzzoni, M. (ed.), Haugen, O. E. (ed.), Conti, A. (ed.), Heikkilä, T. M. (ed.) & Roos, T. T. (ed.), 15 Nov 2015

Research output: Book/ReportBook

'Phylogenetics'

Howe, C., Windram, H., Roos, T., Macé, C., Roelli, P. & Halonen, M., 15 Nov 2015, Parvum Lexicon Stemmatologicum.

Research output: Chapter in Book/Report/Conference proceedingChapterProfessional

Proceedings of the Eighth Workshop on Information Theoretic Methods in Science and Engineering

Rissanen, J. J. (ed.), Harremoës, P. (ed.), Forchhammer, S. (ed.), Roos, T. T. (ed.) & Myllymäki, P. J. (ed.), 2015, Helsinki: University of Helsinki, Department of Computer Science. 53 p. (Series of Publications B; vol. B-2015-1)

Research output: Book/ReportAnthology or special issue

Open Access
File
2014

A Fixed-Point Image Denoising Algorithm with Automatic Window Selection

Määttä, J., Siltanen, S. & Roos, T., 2014, 2014 5th European Workshop on Visual Information Processing (EUVIP 2014). New York: Curran Associates, Inc., 6 p. (European Workshop on Visual Information Processing : [proceedings]).

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

Open Access
File

Bayesian properties of normalized maximum likelihood and its fast computation

Barron, A., Roos, T. & Watanabe, K., 2014, 2014 IEEE International Symposium on Information Theory: ISIT-2014. IEEE, p. 1667-1671 5 p.

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

File

Proceedings of the Seventh Workshop on Information Theoretic Methods in Science and Engineering

Rissanen, J. J. (ed.), Myllymäki, P. J. (ed.), Roos, T. T. (ed.) & Santhanam, N. P. (ed.), 2014, Helsinki: University of Helsinki, Department of Computer Science. 34 p. (Series of Publications B; vol. B-2014-4)

Research output: Book/ReportAnthology or special issue

Random Projection Based Clustering for Population Genomics

Tasoulis, S., Cheng, L., Välimäki, N., Croucher, N., Harris, S., Hanage, W., Roos, T. & Corander, J., 2014, Big Data (Big Data), 2014 IEEE International Conference on . IEEE, p. 675 - 682

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

Robust learning of inhomogeneous PMMs

Eggeling, R., Roos, T., Myllymäki, P. & Grosse, I., Apr 2014, Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS-2014). Kaski, S. & Corander, J. (eds.). p. 229-237 9 p. (JMLR: Workshop and Conference Proceedings; vol. 33).

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

Open Access
File

User-Generated Free-Form Gestures for Authentication: Security and Memorability

Sherman, M., Clark, G., Yang, Y., Sugrim, S., Modig, A., Lindqvist, J., Oulasvirta, A. & Roos, T., 2014, MobiSys '14 Proceedings of the 12th annual international conference on Mobile systems, applications, and services : MobiSys-2014. New York: ACM, p. 176-189 14 p.

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

File
2013

[Proceedings of the] WITMSE2013, The Sixth Workshop on Information Theoretic Methods in Science and Engineering, 26-29 August, Tokyo, Japan

Rissanen, J. (ed.), Myllymäki, P. (ed.), Roos, T. (ed.), Yamanishi, K. (ed.) & Tabus, I. (ed.), 2013, Tokyo: University of Tokyo. 95 p.

Research output: Book/ReportAnthology or special issue

Achievability of Asymptotic Minimax Regret in Online and Batch Prediction

Watanabe, K., Roos, T. & Myllymäki, P., Nov 2013, Proceedings of the 5th Asian Conference on Machine Learning. Soon Ong, C. & Bao Ho, T. (eds.). p. 181-193 (Journal of Machine Learning Research: Workshop and Conference Proceedings; vol. 29).

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

Open Access
File

Information capacity of full-body movements

Oulasvirta, A., Roos, T., Modig, A. & Leppänen, L., Apr 2013, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, p. 1289-1298 10 p.

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

Keep it Simple Stupid - On the Effect of Lower-Order Terms in BIC-Like Criteria

Roos, T. & Zou, Y., 2013, 2013 Information Theory and Applications Workshop: Conference Proceedings. IEEE, p. 1-7 7 p.

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

Non-Achievability of Asymptotic Minimax Regret without Knowledge of the Sample Size

Watanabe, K., Roos, T. & Myllymäki, P., 2013, Proc. Information-Based Induction Sciences and Machine Learning (IBISML). Nagoya Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

2012

Comparison of NML and Bayesian scoring criteria for learning parsimonious Markov models

Eggeling, R., Roos, T. T., Myllymäki, P. & Grosse, I., 2012, Proceedings of the 5th Workshop on Information Theoretic Methods in Science and Engineering: WITMSE-2012. 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

Open Access
File

Editorial: Special issue on the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010)

Roos, T. (ed.), Myllymäki, P. (ed.) & Jaakkola, T. (ed.), Dec 2012, In : International Journal of Approximate Reasoning. 59, 9, p. 1303–1304 2 p.

Research output: Contribution to journalArticleScientific

Open Access
File

Proceedings of the Fifth Workshop on Information Theoretic Methods in Science and Engineering (WITMSE-2012)

de Rooij, S. (ed.), Kotlowski, W. (ed.), Rissanen, J. (ed.), Myllymäki, P. (ed.), Roos, T. (ed.) & Yamanishi, K. (ed.), 2012, Amsterdam: Centrum Wiskunde & Informatica (CWI). 91 p.

Research output: Book/ReportAnthology or special issue

File
2011

Analysis of Textual Variation by Latent Tree Structures

Roos, T. T. & Zou, Y., 11 Dec 2011, 2011 IEEE 11th International Conference on Data Mining (ICDM 2011). Cook, D., Pei, J., Wang, W., Zaïane, O. & Wu, X. (eds.). IEEE Computer Society, p. 567-576 10 p.

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

Discriminative learning of Bayesian networks via factorized conditional log-likelihood

Carvalho, A. M., Roos, T. T., Oliveira, A. L. & Myllymäki, P., 2011, In : Journal of Machine Learning Research. 12, p. 2181-2210 30 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Fourth Workshop on Information Theoretic Methods in Science and Engineering: Proceedings

Rissanen, J. (ed.), Myllymäki, P. (ed.), Roos, T. (ed.), Tabus, I. (ed.) & Yamanishi, K. (ed.), 2011, Helsinki. 83 p. (Department of Computer Science, Series of Publications C; no. C-2011-45)

Research output: Book/ReportAnthology or special issue

Open Access
File

Semi-supervised learning for WLAN positioning

Pulkkinen, T., Roos, T. T. & Myllymäki, P., 2011, Artificial Neural Networks and Machine Learning: 21st International Conference on Artificial Neural Networks (ICANN 2011). Honkela, T., Duch, W., Girolami, M. A. & Kaski, S. (eds.). Springer-Verlag, Vol. 1. p. 355-362 8 p. (Lecture Notes in Computer Science; vol. 6791).

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