Yliopiston etusivulle Suomeksi På svenska In English
Helsingin yliopisto Tietojenkäsittelytieteen laitos
 

Department of Computer Science

Arto Klami

I am a post-doctoral researcher in the Complex Systems Computation (CoSCo) group the Department of Computer Science of University of Helsinki. I am also a member of Helsinki Institute for Information Technology HIIT and The Finnish Center of Excellence in Computational Inference Research (COIN). Until the end of 2012 I was working in the Department of Information and Computer Science, Aalto University. My research interests are in Bayesian modeling of complex data collections, for example for the purpose of integrating multiple data sources.

In 2011 I organized a PASCAL challenge on MEG Mind Reading.

Contact

  • Postal address: Department of Computer Science, P.O.Box 68, FIN-00014 UNIVERSITY OF HELSINKI, Finland
  • Physical address: Room A311, Exactum, Gustaf Hällströmin katu 2b, Helsinki
  • Tel: +358-9-191 51261
  • Email: arto.klami'at'hiit.fi

Teaching

In fall 2010 I co-lectured the course T-61.6040 Special Course in Computer and Information Science, with the topic of Learning from multiple sources.

In the past I have taken part in teaching, for example, modeling of biological networks, data analysis for gene expression, and co-occurrence methods in analysis of discrete data.

Publications

Journal publications

  1. Miika Koskinen, Jaakko Viinikanoja, Mikko Kurimo, Arto Klami, Samuel Kaski, and Riitta Hari. Identifying fragments of natural speech from the listener's MEG signals. Human Brain Mapping, 2012 (online).

  2. Abhishek Tripathi, Arto Klami, Matej Orešič and Samuel Kaski. Matching samples of multiple views. Data Mining and Knowledge Discovery, 23:2, pp. 300-321, 2011. (online)

  3. Suvi Savola, Arto Klami, Samuel Myllykangas, Cristina Manara, Katia Scotlandi, Piero Ricci, Sakari Knuutila, and Jukka Vakkila. High Expression of Complement Component 5 (C5) at Tumor Site Associates with Superior Survival in Ewing's Sarcoma Family of Tumour Patients. ISRN Oncology, Volume 2011, Article ID 168712, 2011. (online)

  4. Simon Rogers, Arto Klami, Janne Sinkkonen, Mark Girolami, and Samuel Kaski. Infinite Factorization of Multiple Non-parametric Views. Machine Learning, 2010. DOI 10.1007/s10994-009-5155-1. (online)

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

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

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

  9. 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)

Refereed conference publications

  1. Arto Klami. Variational Bayesian matching. In Proceedings of 4th Asian Conference on Machine Learning (ACML), pp. 205-220, 2012. (pdf). ACML best paper award.

  2. Melih Kandemir, Arto Klami, Akos Vetek, and Samuel Kaski. Unsupervised inference of auditory attention from biosensors. In Proceedings of European Conference on Machine Learning (ECML), 2012. (preprint pdf)

  3. Seppo Virtanen, Janqging Jia, Arto Klami, and Trevor Darrell. Factorized multi-modal topic model. In Proceedings of the 28th conference on Uncertainty in Artificial Intelligence (UAI), 2012. (preprint pdf)

  4. Seppo Virtanen, Arto Klami, Suleiman A. Khan, and Samuel Kaski. Bayesian Group Factor Analysis. In Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS), volume 22 of JMLR C&WP, pp. 1269-1277, 2012. (pdf)

  5. Seppo Virtanen, Arto Klami, and Samuel Kaski. Bayesian CCA via Group Sparsity. In Proceedings of the 28th International Conference on Machine Learning (ICML), 2011. (code, pdf, see also a related poster abstract in the ICML 2011 Structured Sparsity workshop)

  6. Jaakko Viinikanoja, Arto Klami, and Samuel Kaski. Variational Bayesian mixture of robust CCA models. In Balcázar J.L. et al. (Eds): Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, pp. 370-385, 2010. (code, pdf)

  7. Arto Klami. Inferring Task-relevant Image Regions from Gaze Data. In IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 101--106, 2010. (online)

  8. Abhishek Tripathi, Arto Klami, and Sami Virpioja. Bilingual Sentence Matching Using Kernel CCA. In IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 130-135, 2010. (online)

  9. Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex P. Leung, Kitsuchart Pasupa, and John Shawe-Taylor. Pinview: Implicit Feedback in Content-Based Image Retrieval. In Proceedings of Workshop on Applications of Pattern Analysis, 2010. (pdf)

  10. Arto Klami, Seppo Virtanen, and Samuel Kaski. Bayesian Exponential Family Projections for Coupled Data Sources. In Uncertainty in Artificial Intelligence (UAI) 2010. (pdf)

  11. 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)

  12. László Kozma, Arto Klami, and Samuel Kaski. GaZIR: Gaze-based Zooming Interface for Image Retrieval. In Proceedings of 11th Conference on Multimodal Interfaces and the 6th Workshop on Machine Learning for Multimodal Interaction (ICMI-MLMI), 2009. (pdf)

  13. 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)

  14. 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)

  15. 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)

  16. 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)

  17. 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)

  18. 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)

  19. 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)

  20. 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)

  21. 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.

Non-refereed publications

  1. Riitta Hari and Arto Klami. Mistä aivotutkija tietää, mitä minä näen?. Tiede, 12:46-49, 2011. (Popular science article on brain decoding in a Finnish science magazine)

  2. Arto Klami, editor. Proceedings of ICANN/PASCAL2 Challenge: MEG Mind Reading, Aalto University Publication series SCIENCE+TECHNOLOGY 29/2011. Department of Information and Computer Science, 2011.(pdf)

  3. Arto Klami, Pavan Ramkumar, Seppo Virtanen, Lauri Parkkonen, Riitta Hari, and Samuel Kaski. ICANN/PASCAL2 Challenge: MEG mind reading --- overview and results. In Proceedings of ICANN/PASCAL2 Challenge: MEG Mind Reading, Aalto University Publication series SCIENCE+TECHNOLOGY 29/2011, pages 3-19, 2011. (pdf, erratum)

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)

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

arto.klami@cs.Helsinki.fI Last update 25.01.2013

Feedback | Faculty homepage | University homepage