Laboratory of Computer and Information Science / Neural Networks Research Centre CIS Lab Helsinki University of Technology

ARTO KLAMI

I am a post-doctoral researcher in the Statistical Machine Learning and Bioinformatics group of the Adaptive Informatics Research Centre. My research interests include exploratory data analysis, dependency exploration, Bayesian learning, and machine learning in general. My main application fields are proactive information retrieval and bioinformatics. Currently, I work primarily for the PinView project.

Contact

Publications

  1. Simon Rogers, Arto Klami, Janne Sinkkonen, Mark Girolami, Samuel Kaski. Infinite Factorization of Multiple Non-parametric Views. Machine Learning 2009, DOI 10.1007/s10994-009-5155-1. (online)

  2. Kitsuchart Pasupa, Craig Saunders, Sandor Szedmak, Arto Klami, Samuel Kaski and Steve Gunn. Learning to Rank Images from Eye Movements. In Proceedings of ICCV'2009 Workshop on Human-Computer Interaction (HCI'2009), pp. 2009--2016, 2009. (pdf)

  3. Eerika Savia, Arto Klami and Samuel Kaski. Fast Dependent Components for fMRI Analysis. In the IEEE 2009 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), pp. 1737--1740, 2009. (abstract, pdf)

  4. Abhishek Tripathi, Arto Klami and Samuel Kaski. Using Dependencies to Pair Samples for Multi-View Learning. In the IEEE 2009 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), 2009. (abstract, pdf)

  5. Suvi Savola, Arto Klami, Abhishek Tripathi, Tarja Niini, Massimo Serra, Piero Picci, Samuel Kaski, Diana Zambelli, Katia Scotlandi and Sakari Knuutila. Combined use of expression and CGH arrays pinpoints novel candidate genes in Ewing sarcoma family of tumors. BMC Cancer 9:17, 2009. (html)

  6. Simon Rogers, Janne Sinkkonen, Arto Klami, Mark Girolami, and Samuel Kaski. Two-level infinite mixture for multi-domain data. In NIPS 2008 Workshop on Learning from Multiple Sources, 2008. (extended abstract).

  7. Arto Klami, Craig Saunders, Teofilo de Campos, and Samuel Kaski. Can relevance of images be inferred from eye movements?. MIR'08: Proceedings of the 1st ACM International Conference on Multimedia Information Retrieval, Vancouver, British Columbia, Canada, Oct 30-31, 2008. (abstract, pdf)

  8. Arto Klami and Samuel Kaski. Probabilistic approach to detecting dependencies between data sets. Neurocomputing, 72:1-3, pp. 39--46, 2008. (abstract, DOI).

  9. Abhishek Tripathi, Arto Klami, and Samuel Kaski. Simple integrative preprocessing preserves what is shared in data sources. BMC Bioinformatics, 9:111, 2008. (html)

  10. Arto Klami and Samuel Kaski. Local Dependent Components. In Zoubin Ghahramani (Ed), Proceedings of the 24th International Conference on Machine Learning. 425-433. Omnipress, 2007. (abstract, preprint pdf)

  11. Arto Klami and Samuel Kaski. Generative models that discover dependencies between data sets. In Proceedings of Machine Learning for Signal Processing 2006. 123-128, 2006. (abstract, preprint pdf)

  12. Samuel Kaski, Janne Sinkkonen, and Arto Klami. Discriminative Clustering. Neurocomputing, 69:18-41, 2005. (preprint abstract, preprint pdf)

  13. Arto Klami, Janne Nikkilä, Christophe Roos, and Samuel Kaski. Extracting yeast stress genes by dependencies between stress treatments. Poster presentation in European Conference on Computational Biology 2005. (abstract, pdf (A4 size))

  14. Arto Klami and Samuel Kaski. Non-parametric Dependent Components. In Proceedings of ICASSP'05, IEEE International Conference on Acoustics, Speech, and Signal Processing, pages V-209 - V-212, IEEE, 2005. (abstract, pdf)

  15. Jaakko Peltonen, Arto Klami and Samuel Kaski. Improved Learning of Riemannian Metrics for Exploratory Data Analysis. Neural Networks, vol. 17, pages 1087-1100, 2004. (abstract, Elsevier page linking the final paper,erratum to final paper on Elsevier pages)

  16. Jaakko Peltonen, Arto Klami and Samuel Kaski. Learning Metrics for Information Visualization. In Proceedings of the Workshop on Self-Organizing Maps (WSOM'03), Hibikino, Kitakyushu, Japan, Saptember 2003. (abstract, postscript, gzipped postscript)

  17. Samuel Kaski, Janne Sinkkonen, and Arto Klami. Regularized Discriminative Clustering. In C. Molina, T.Adali, J.Larsen, M. Van Hulle, editors, Neural Networks for Signal Processing XIII, pages 289-298, IEEE, New York, 2003. (abstract, postscript, gzipped postscript, pdf)

  18. Arto Klami, Jaakko Peltonen, and Samuel Kaski. Accurate self-organizing maps in learning metrics. In Pekka Ala-Siuru and Samuel Kaski, editors, Step 2002 -- Intelligence, The Art of Natural and Artificial, pages 41-49. Finnish Artificial Intelligence Society, 2002.

  19. Jaakko Peltonen, Arto Klami, and Samuel Kaski. Learning More Accurate Metrics for Self-Organizing Maps. In José R. Dorronsoro, editor, Artificial Neural Networks - ICANN 2002, pages 999-1004. Springer, 2002. (abstract, postscript, gzipped postscript) © Springer-Verlag.

Theses

  1. Arto Klami Modeling of mutual dependencies. PhD Thesis, Helsinki University of Technology, Faculty of Information and Natural Sciences, 2008. (Electronic version)

  2. Arto Klami Regularized Discriminative Clustering. Master's Thesis, Helsinki University of Technology, Department of Engineering Physics and Mathematics, 2003. (PDF)

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