2010 |
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20 | Eerika Savia. Mutual Dependency-Based Modeling of Relevance in Co-Occurrence Data. PhD thesis, Aalto University School of Science and Technology, Faculty of Information and Natural Sciences, Department of Information and Computer Science, June 2010. |
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2009 |
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19 | Eerika Savia, Kai Puolamäki, and Samuel Kaski. On two-way grouping by one-way topic models. Technical Report TKK-ICS-R15, Helsinki University of Technology, Department of Information and Computer Science, Espoo, May 2009. |
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18 | Eerika Savia, Kai Puolamäki, and Samuel Kaski. Latent grouping models for user preference prediction. Machine Learning, 74(1):75–109, 2009. Published online: 3 September 2008. |
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17 | Eerika Savia, Arto Klami, and Samuel Kaski. Fast dependent components for fMRI analysis. In Proceedings of ICASSP 09, the International Conference on Acoustics, Speech, and Signal Processing, pages 1737–1740, 2009. |
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16 | Eerika Savia, Kai Puolamäki, and Samuel Kaski. Two-way grouping by one-way topic models. In N. Adams et. al., editor, Proceedings of IDA 2009, The 8th International Symposium on Intelligent Data Analysis, Lecture Notes in Computer Science, pages 178–189. Springer Berlin / Heidelberg, 2009. |
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15 | Jarkko Ylipaavalniemi, Eerika Savia, Sanna Malinen, Riitta Hari, Ricardo Vigário, and Samuel Kaski. Dependencies between stimuli and spatially independent fMRI sources: Towards brain correlates of natural stimuli. NeuroImage, 48:176–185, 2009. |
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2007 |
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14 | Jarkko Ylipaavalniemi, Eerika Savia, Ricardo Vigário, and Samuel Kaski. Functional elements and networks in fMRI. In Proceedings of ESANN 2007, the 15th European Symposium on Artificial Neural Networks, pages 561–566, Bruges, Belgium, 2007. d-side. |
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2006 |
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13 | Kai Puolamäki, Jarkko Salojärvi, Eerika Savia, and Samuel Kaski. Discriminative MCMC. Publications in Computer and Information Science E1, Helsinki University of Technology, Espoo, Finland, 2006. |
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12 | Jarkko Ylipaavalniemi, Eerika Savia, Ricardo Vigário, and Samuel Kaski. Functional elements and networks in fmri. Publications in Computer and Information Science E7, Helsinki University of Technology, 2006. |
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2005 |
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11 | Samuel Kaski, Janne Nikkilä, Eerika Savia, and Christophe Roos. Discriminative clustering of yeast stress response. In Udo Seiffert, Lakhmi Jain, and Patric Schweizer, editors, Bioinformatics using Computational Intelligence Paradigms, pages 75–92, Berlin, 2005. Springer. |
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10 | Samuel Kaski, Eerika Savia, and Kai Puolamäki. Predicting binding of transcriptional regulators with a two-way latent grouping model. Poster in ISMB 2005, the 13th Annual International Conference on Intelligent Systems for Molecular Biology, Detroit, Michigan, June 25-29, 2005. |
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9 | Janne Nikkilä, Christophe Roos, Eerika Savia, and Samuel Kaski. Explorative modeling of yeast stress response and its regulation with gCCA and associative clustering. International Journal of Neural Systems, 15(4):237–246, 2005. |
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8 | Kai Puolamäki, Jarkko Salojärvi, Eerika Savia, Jaana Simola, and Samuel Kaski. Combining eye movements and collaborative filtering for proactive information retrieval. In Gary Marchionini, Alistair Moffat, John Tait, Ricardo Baeza-Yates, and Novio Ziviani, editors, Proceedings of SIGIR 2005, Twenty-Eighth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 146–153, New York, NY, 2005. ACM. |
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7 | Eerika Savia, Kai Puolamäki, Janne Sinkkonen, and Samuel Kaski. Two-way latent grouping model for user preference prediction. In Fahiem Bachus and Tommi Jaakkola, editors, Proceedings of UAI 2005, Uncertainty in Artificial Intelligence, pages 518–525, Corvallis, OH, 2005. AUAI Press. |
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2004 |
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6 | Eerika Savia. On text-based estimation of document relevance for proactive information retrieval. In Greger Lindén, editor, Proceedings of the proactive computing workshop PROW, pages 68–71, Helsinki, Finland, November 2004. Helsinki Institute for Information Technology HIIT. |
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5 | Kai Puolamäki, Eerika Savia, Janne Sinkkonen, and Samuel Kaski. Two-way latent grouping model for user preference prediction. Technical Report A80, Helsinki University of Technology, Publications in Computer and Information Science, Espoo, Finland, 2004. |
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4 | Eerika Savia, Samuel Kaski, Ville Tuulos, and Petri Myllymäki. On text-based estimation of document relevance. In Proceedings of IJCNN'04, International Joint Conference on Neural Networks, pages 3275–3280, Piscataway, NJ, 2004. IEEE. |
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2001 |
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3 | Sami Jokela, Marko Turpeinen, Teppo Kurki, Eerika Savia, and Reijo Sulonen. The role of structured content in a personalized news service. In HICSS '01: Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34)-Volume 7, page 7044, Washington, DC, USA, 2001. IEEE Computer Society. |
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1999 |
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2 | Eerika Savia. Mathematical methods for a personalized information service. Master's thesis, Helsinki University of Technology, Department of Engineering Physics and Mathematics, November 1999. |
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1998 |
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1 | Eerika Savia, Teppo Koskinen, and Sami Jokela. Metadata based matching of documents and user profiles. In Proceedings of Finnish Artificial Intelligence Conference, Human and Artificial Information Processing, STeP'98, pages 61–70, September 1998. |
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