20062020

Research output per year

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Research Output

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2019

Large-Scale Sparse Kernel Canonical Correlation Analysis

Uurtio, V., Bhadra, S. & Rousu, J., 2019, 36th International Conference on Machine Learning, ICML 2019. p. 6383-6391 9 p. (Proceedings of Machine Learning Research; vol. 97).

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

Open Access
File
10 Downloads (Pure)
2018

Sparse Non-linear CCA through Hilbert-Schmidt Independence Criterion

Uurtio, V., Bhadra, S. & Rousu, J., 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. IEEE, p. 1278-1283 6 p. 8594981

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

Open Access
File
1 Citation (Scopus)
182 Downloads (Pure)
2017

Magnitude-Preserving Ranking for Structured Outputs

Brouard, C., Bach, E., Böcker, S. & Rousu, J., 3 Nov 2017, Proceedings of the Ninth Asian Conference on Machine Learning. Zhang, M-L. & Noh, Y-K. (eds.). p. 407-422 16 p. (Proceedings of Machine Learning Research; vol. 77).

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

Open Access
File
9 Downloads (Pure)
2016

Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo

Heinonen, M., Mannerström, H., Rousu, J., Kaski, S. & Lähdesmäki, H., 2016, Proceedings of the 19th International Conference on Artificial Intelligence and Statistics: JMLR: W&CP. JMLR, p. 732-740 9 p. ( JMLR: Workshop and Conference Proceedings; vol. 51).

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

Soft Kernel Target Alignment for Two-stage Multiple Kernel Learning

Shen, H., Szedmak, S., Brouard, C. & Rousu, J., Oct 2016, Discovery Science: 19th International Conference, DS 2016, Bari, Italy, October 19–21, 2016, Proceedings. Calders, T., Ceci, M. & Malerba, D. (eds.). 1 ed. Springer International Publishing, Vol. 9956. p. 427-441 (Lecture Notes in Artificial Intelligence; vol. 9956).

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

2015

Canonical Correlation Methods for Exploring Microbe-Environment Interactions in Deep Subsurface

Uurtio, V., Bomberg, M., Nybo, K., Itävaara, M. & Rousu, J., 2015, 18th International Conference on Discovery Science, Banff, Canada, October 4-6, 2015. Springer International Publishing, p. 299-307

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

2 Citations (Scopus)
2014

Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks

Marchand, M., Su, H., Morvant, E., Rousu, J. & Shawe-Taylor, J., 2014, Annual Conference on Neural Information Processing Systems, Montreal, Quebec, Canada, December 8 - December 13, 2014. p. 873-881

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

3 Citations (Scopus)

Structured Prediction of Network Response

Su, H., Gionis, A. & Rousu, J., 2014, International Conference on Machine Learning, Beijing, China, June 21 - June 26, 2014. p. 442-450

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

2013

Multilabel Classification through Random Graph Ensembles

Su, H. & Rousu, J., 2013, 5th Asian Conference on Machine Learning, Canberra, Australia, November 11 - November 15, 2013. p. 404-418

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

3 Citations (Scopus)
2012

Efficient Path Kernels for Reaction Function Prediction

Heinonen, M., Välimäki, N., Mäkinen, V. & Rousu, J., 2012, Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms. p. 202-207

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

2010

Multilabel classification of drug-like molecules via max-margin conditional random fields

Su, H., Heinonen, M. & Rousu, J., 2010, Proceedings of The Fifth European Workshop on Probabilistic Graphical Models (PGM-2010): 13-15 September, 2010, Helsinki, Finland. Myllymäki, P., Roos, T. & Jaakkola, T. (eds.). HIIT, p. 265-272 (HIIT Publications; vol. 2010, no. 2).

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

Structured output prediction of anti-cancer drug activity

Su, H., Heinonen, M. & Rousu, J., 2010, Pattern Recognition in Bioinformatics: 5th IAPR International Conference, PRIB 2010, Nijmegen, The Netherlands, September 22-24, 2010. Proceedings. Dijkstra, T. M. H., Tsivtsivadze, E., Marchiori, E. & Heskes, T. (eds.). Springer Verlag, p. 38-49 ( Lecture Notes in Computer Science; vol. 6282).

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

2006

Ab Initio prediction of molecular fragments from tandem mass spectrometry data

Heinonen, M., Rantanen, A., Mielikäinen, T., Pitkänen, E., Kokkonen, J. T. & Rousu, J., 2006, Proceedings of the German Conference on Bioinformatics. Huson, D., Kohlbacher, O., Lupas, A., Nieselt, K. & Zell, A. (eds.). Gesellschaft für Informatik (GI), p. 40-53 (Lecture Notes in Informatics (LNI); vol. P83).

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