to appear |
7 | Tommi Suvitaival, Ilkka Huopaniemi, Matej Orešic, and Samuel Kaski. Detecting similar high-dimensional responses to experimental factors between human and model organism. In NIPS 2011 workshop "From Statistical Genetics to Predictive Models in Personalized Medicine", to appear. Extended abstract. |
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2011 |
6 | Tommi Suvitaival, Ilkka Huopaniemi, Matej Orešic, and Samuel Kaski. Cross-species translation of multi-way biomarkers. In Timo Honkela, Wlodzislaw Duch, Mark Girolami, and Samuel Kaski, editors, Proceedings of the 21st International Conference on Artificial Neural Networks (ICANN), Part I, volume 6791 of Lecture Notes in Computer Science, pages 209–216. Springer, 2011. |
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2010 |
5 | Ilkka Huopaniemi, Tommi Suvitaival, Matej Orešic, and Samuel Kaski. Graphical multi-way models. In Aristides Gionis José Luis Balcázar, Francesco Bonchi and Mich`ele Sebag, editors, Machine Learning and Knowledge Discovery in Databases. Proceedings of European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, volume I, pages 538–553, Berlin, 2010. Springer. |
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4 | Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Orešic, and Samuel Kaski. Multivariate multi-way analysis of multi-source data. Bioinformatics, 26:i391–i398, 2010. (ISMB 2010). |
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2009 |
3 | Tommi Suvitaival. Bayesian two-way analysis of high-dimensional collinear metabolomics data. Master's thesis, Helsinki University of Technology, Department of Information and Computer Science, October 2009. |
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2 | Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Orešic, and Samuel Kaski. Multi-way, multi-view learning. In NIPS 2009 workshop on Learning from Multiple Sources with Applications to Robotics, 2009. Extended Abstract. |
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1 | Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Orešic, and Samuel Kaski. Two-way analysis of high-dimensional collinear data. Data Mining and Knowledge Discovery, 19:261–276, 2009. |
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