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Markus Ojala
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2020 – today
- 2020
- [i2]Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila:
Tell Me Something I Don't Know: Randomization Strategies for Iterative Data Mining. CoRR abs/2006.09467 (2020)
2010 – 2019
- 2019
- [j4]Markus Ojala, Mervi Pantti, Salla-Maaria Laaksonen:
Networked publics as agents of accountability: Online interactions between citizens, the media and immigration officials during the European refugee crisis. New Media Soc. 21(2) (2019) - 2011
- [b1]Markus Ojala:
Randomization algorithms for assessing the significance of data mining results. Aalto University, Helsinki, Finland, 2011 - [j3]Aleksi Kallio, Niko Vuokko, Markus Ojala, Niina Haiminen, Heikki Mannila:
Randomization techniques for assessing the significance of gene periodicity results. BMC Bioinform. 12: 330 (2011) - 2010
- [j2]Markus Ojala, Gemma C. Garriga:
Permutation Tests for Studying Classifier Performance. J. Mach. Learn. Res. 11: 1833-1863 (2010) - [c5]Markus Ojala:
Assessing Data Mining Results on Matrices with Randomization. ICDM 2010: 959-964 - [c4]Markus Ojala, Gemma C. Garriga, Aristides Gionis, Heikki Mannila:
Evaluating Query Result Significance in Databases via Randomizations. SDM 2010: 906-917
2000 – 2009
- 2009
- [j1]Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, Heikki Mannila:
Randomization methods for assessing data analysis results on real-valued matrices. Stat. Anal. Data Min. 2(4): 209-230 (2009) - [c3]Markus Ojala, Gemma C. Garriga:
Permutation Tests for Studying Classifier Performance. ICDM 2009: 908-913 - [c2]Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila:
Tell me something I don't know: randomization strategies for iterative data mining. KDD 2009: 379-388 - [i1]Markus Ojala, Gemma C. Garriga, Aristides Gionis, Heikki Mannila:
Query Significance in Databases via Randomizations. CoRR abs/0906.5485 (2009) - 2008
- [c1]Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, Heikki Mannila:
Randomization of real-valued matrices for assessing the significance of data mining results. SDM 2008: 494-505
Coauthor Index
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