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Jorma Boberg
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2010 – 2019
- 2012
- [j12]Tapio Pahikkala, Hanna Suominen, Jorma Boberg:
Efficient cross-validation for kernelized least-squares regression with sparse basis expansions. Mach. Learn. 87(3): 381-407 (2012) - 2010
- [c13]Antti Airola, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski:
Applying Permutation Tests for Assessing the Statistical Significance of Wrapper Based Feature Selection. ICMLA 2010: 989-994 - [p2]Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski, Tom Heskes:
Co-Regularized Least-Squares for Label Ranking. Preference Learning 2010: 107-123
2000 – 2009
- 2009
- [j11]Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski:
Locality kernels for sequential data and their applications to parse ranking. Appl. Intell. 31(1): 81-88 (2009) - [j10]Tapio Pahikkala, Sampo Pyysalo, Jorma Boberg, Jouni Järvinen, Tapio Salakoski:
Matrix representations, linear transformations, and kernels for disambiguation in natural language. Mach. Learn. 74(2): 133-158 (2009) - [j9]Tapio Pahikkala, Evgeni Tsivtsivadze, Antti Airola, Jouni Järvinen, Jorma Boberg:
An efficient algorithm for learning to rank from preference graphs. Mach. Learn. 75(1): 129-165 (2009) - [c12]Tapio Pahikkala, Hanna Suominen, Jorma Boberg, Tapio Salakoski:
Efficient Hold-Out for Subset of Regressors. ICANNGA 2009: 350-359 - 2008
- [c11]Tapio Pahikkala, Antti Airola, Hanna Suominen, Jorma Boberg, Tapio Salakoski:
Efficient AUC Maximization with Regularized Least-Squares. SCAI 2008: 12-19 - [c10]Evgeni Tsivtsivadze, Tapio Pahikkala, Antti Airola, Jorma Boberg, Tapio Salakoski:
A Sparse Regularized Least-Squares Preference Learning Algorithm. SCAI 2008: 76-83 - [p1]Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski:
Kernels for Text Analysis. Advances of Computational Intelligence in Industrial Systems 2008: 81-97 - 2007
- [j8]Sampo Pyysalo, Filip Ginter, Juho Heimonen, Jari Björne, Jorma Boberg, Jouni Järvinen, Tapio Salakoski:
BioInfer: a corpus for information extraction in the biomedical domain. BMC Bioinform. 8 (2007) - [c9]Evgeni Tsivtsivadze, Jorma Boberg, Tapio Salakoski:
Locality Kernels for Protein Classification. WABI 2007: 2-11 - 2006
- [j7]Sampo Pyysalo, Filip Ginter, Tapio Pahikkala, Jorma Boberg, Jouni Järvinen, Tapio Salakoski:
Evaluation of two dependency parsers on biomedical corpus targeted at protein-protein interactions. Int. J. Medical Informatics 75(6): 430-442 (2006) - [c8]Tapio Pahikkala, Jorma Boberg, Aleksandr Mylläri, Tapio Salakoski:
Incorporating External Information in Bayesian Classifiers Via Linear Feature Transformations. FinTAL 2006: 399-410 - [c7]Filip Ginter, Sampo Pyysalo, Jorma Boberg, Tapio Salakoski:
Regular Approximation of Link Grammar. FinTAL 2006: 564-575 - [c6]Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski:
Locality-Convolution Kernel and Its Application to Dependency Parse Ranking. IEA/AIE 2006: 610-618 - 2005
- [j6]Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni Järvinen, Tapio Salakoski:
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation. BMC Bioinform. 6: 157 (2005) - [c5]Tapio Pahikkala, Sampo Pyysalo, Filip Ginter, Jorma Boberg, Jouni Järvinen, Tapio Salakoski:
Kernels Incorporating Word Positional Information in Natural Language Disambiguation Tasks. FLAIRS 2005: 442-448 - [c4]Evgeni Tsivtsivadze, Tapio Pahikkala, Sampo Pyysalo, Jorma Boberg, Aleksandr Mylläri, Tapio Salakoski:
Regularized Least-Squares for Parse Ranking. IDA 2005: 464-474 - 2004
- [j5]Filip Ginter, Jorma Boberg, Jouni Järvinen, Tapio Salakoski:
New Techniques for Disambiguation in Natural Language and Their Application to Biological Text. J. Mach. Learn. Res. 5: 605-621 (2004) - [c3]Sampo Pyysalo, Filip Ginter, Tapio Pahikkala, Jorma Boberg, Jouni Järvinen, Tapio Salakoski, Jeppe Koivula:
Analysis of Link Grammar on Biomedical Dependency Corpus Targeted at Protein-Protein Interactions. NLPBA/BioNLP 2004 - [c2]Filip Ginter, Tapio Pahikkala, Sampo Pyysalo, Jorma Boberg, Jouni Järvinen, Tapio Salakoski:
Extracting Protein-Protein Interaction Sentences by Applying Rough Set Data Analysis. Rough Sets and Current Trends in Computing 2004: 780-785 - [c1]Filip Ginter, Sampo Pyysalo, Jorma Boberg, Jouni Järvinen, Tapio Salakoski:
Ontology-Based Feature Transformations: A Data-Driven Approach. EsTAL 2004: 280-291 - 2002
- [j4]Pentti Riikonen, Jorma Boberg, Tapio Salakoski, Mauno Vihinen:
Mobile access to biological databases on the Internet. IEEE Trans. Biomed. Eng. 49(12): 1477-1479 (2002) - 2001
- [j3]Pentti Riikonen, Jorma Boberg, Tapio Salakoski, Mauno Vihinen:
BioWAP, mobile Internet service for bioinformatics. Bioinform. 17(9): 855-856 (2001)
1990 – 1999
- 1997
- [j2]Jorma Boberg, Tapio Salakoski:
Representative noise-free complete-link classification with application to protein structures. Pattern Recognit. 30(3): 467-482 (1997) - 1993
- [j1]Jorma Boberg, Tapio Salakoski:
General formulation and evaluation of agglomerative clustering methods with metric and non-metric distances. Pattern Recognit. 26(9): 1395-1406 (1993)
Coauthor Index
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