 | 2012 |
| 36 |  | Fabian Gieseke,
Antti Airola,
Tapio Pahikkala,
Oliver Kramer:
Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines.
ICPRAM (1) 2012: 45-54 |
| 35 |  | Tapio Pahikkala,
Hanna Suominen,
Jorma Boberg:
Efficient cross-validation for kernelized least-squares regression with sparse basis expansions.
Machine Learning 87(3): 381-407 (2012) |
| 2011 |
| 34 |  | Antti Airola,
Tapio Pahikkala,
Tapio Salakoski:
An Improved Training Algorithm for the Linear Ranking Support Vector Machine.
ICANN (1) 2011: 134-141 |
| 33 |  | Pekka Naula,
Tapio Pahikkala,
Antti Airola,
Tapio Salakoski:
Greedy Regularized Least-Squares for Multi-task Learning.
ICDM Workshops 2011: 527-533 |
| 32 |  | Fabian Gieseke,
Oliver Kramer,
Antti Airola,
Tapio Pahikkala:
Speedy Local Search for Semi-Supervised Regularized Least-Squares.
KI 2011: 87-98 |
| 31 |  | Tapio Pahikkala,
Antti Airola,
Thomas Canhao Xu,
Pasi Liljeberg,
Hannu Tenhunen,
Tapio Salakoski:
A Parallel Online Regularized Least-squares Machine Learning Algorithm for Future Multi-core Processors.
PECCS 2011: 590-599 |
| 30 |  | Pekka Naula,
Tapio Pahikkala,
Antti Airola,
Tapio Salakoski:
Learning Multi-Label Predictors under Sparsity Budget.
SCAI 2011: 30-39 |
| 29 |  | Willem Waegeman,
Tapio Pahikkala,
Antti Airola,
Tapio Salakoski,
Michiel Stock,
Bernard De Baets:
A kernel-based framework for learning graded relations from data
CoRR abs/1111.6473: (2011) |
| 28 |  | Jari Björne,
Juho Heimonen,
Filip Ginter,
Antti Airola,
Tapio Pahikkala,
Tapio Salakoski:
Extracting Contextualized Complex Biological Events with Rich Graph-Based Feature Sets.
Computational Intelligence 27(4): 541-557 (2011) |
| 27 |  | Antti Airola,
Tapio Pahikkala,
Willem Waegeman,
Bernard De Baets,
Tapio Salakoski:
An experimental comparison of cross-validation techniques for estimating the area under the ROC curve.
Computational Statistics & Data Analysis 55(4): 1828-1844 (2011) |
| 26 |  | Antti Airola,
Tapio Pahikkala,
Tapio Salakoski:
On Learning and Cross-Validation with Decomposed Nyström Approximation of Kernel Matrix.
Neural Processing Letters 33(1): 17-30 (2011) |
| 25 |  | Antti Airola,
Tapio Pahikkala,
Tapio Salakoski:
Training linear ranking SVMs in linearithmic time using red-black trees.
Pattern Recognition Letters 32(9): 1328-1336 (2011) |
| 2010 |
| 24 |  | Tapio Pahikkala,
Willem Waegeman,
Antti Airola,
Tapio Salakoski,
Bernard De Baets:
Conditional Ranking on Relational Data.
ECML/PKDD (2) 2010: 499-514 |
| 23 |  | Tapio Pahikkala,
Antti Airola,
Tapio Salakoski:
Speeding Up Greedy Forward Selection for Regularized Least-Squares.
ICMLA 2010: 325-330 |
| 22 |  | 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 |
| 21 |  | Tapio Pahikkala,
Willem Waegeman,
Evgeni Tsivtsivadze,
Tapio Salakoski,
Bernard De Baets:
Learning intransitive reciprocal relations with kernel methods.
European Journal of Operational Research 206(3): 676-685 (2010) |
| 20 |  | Antti Airola,
Tapio Pahikkala,
Willem Waegeman,
Bernard De Baets,
Tapio Salakoski:
A comparison of AUC estimators in small-sample studies.
Journal of Machine Learning Research - Proceedings Track 8: 3-13 (2010) |
| 2009 |
| 19 |  | Tapio Pahikkala,
Hanna Suominen,
Jorma Boberg,
Tapio Salakoski:
Efficient Hold-Out for Subset of Regressors.
ICANNGA 2009: 350-359 |
| 18 |  | Fabian Gieseke,
Tapio Pahikkala,
Oliver Kramer:
Fast evolutionary maximum margin clustering.
ICML 2009: 46 |
| 17 |  | 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) |
| 16 |  | Tapio Pahikkala,
Sampo Pyysalo,
Jorma Boberg,
Jouni Järvinen,
Tapio Salakoski:
Matrix representations, linear transformations, and kernels for disambiguation in natural language.
Machine Learning 74(2): 133-158 (2009) |
| 15 |  | Tapio Pahikkala,
Evgeni Tsivtsivadze,
Antti Airola,
Jouni Järvinen,
Jorma Boberg:
An efficient algorithm for learning to rank from preference graphs.
Machine Learning 75(1): 129-165 (2009) |
| 2008 |
| 14 |  | Tapio Pahikkala,
Antti Airola,
Hanna Suominen,
Jorma Boberg,
Tapio Salakoski:
Efficient AUC Maximization with Regularized Least-Squares.
SCAI 2008: 12-19 |
| 13 |  | Evgeni Tsivtsivadze,
Tapio Pahikkala,
Antti Airola,
Jorma Boberg,
Tapio Salakoski:
A Sparse Regularized Least-Squares Preference Learning Algorithm.
SCAI 2008: 76-83 |
| 12 |  | Antti Airola,
Sampo Pyysalo,
Jari Björne,
Tapio Pahikkala,
Filip Ginter,
Tapio Salakoski:
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning.
BMC Bioinformatics 9(S-11): (2008) |
| 2007 |
| 11 |  | Tero Aittokallio,
Jani S. Malminen,
Tapio Pahikkala,
Olli Polo,
Olli Nevalainen:
Inspiratory flow shape clustering: An automated method to monitor upper airway performance during sleep.
Computer Methods and Programs in Biomedicine 85(1): 8-18 (2007) |
| 2006 |
| 10 |  | Tapio Salakoski,
Filip Ginter,
Sampo Pyysalo,
Tapio Pahikkala:
Advances in Natural Language Processing, 5th International Conference on NLP, FinTAL 2006, Turku, Finland, August 23-25, 2006, Proceedings
Springer 2006 |
| 9 |  | Tapio Pahikkala,
Jorma Boberg,
Aleksandr Mylläri,
Tapio Salakoski:
Incorporating External Information in Bayesian Classifiers Via Linear Feature Transformations.
FinTAL 2006: 399-410 |
| 8 |  | Evgeni Tsivtsivadze,
Tapio Pahikkala,
Jorma Boberg,
Tapio Salakoski:
Locality-Convolution Kernel and Its Application to Dependency Parse Ranking.
IEA/AIE 2006: 610-618 |
| 7 |  | Hanna Suominen,
Tapio Pahikkala,
Marketta Hiissa,
Tuija Lehtikunnas,
Barbro Back,
Helena Karsten,
Sanna Salanterä,
Tapio Salakoski:
Relevance Ranking of Intensive Care Nursing Narratives.
KES (1) 2006: 720-727 |
| 6 |  | Marketta Hiissa,
Tapio Pahikkala,
Hanna Suominen,
Tuija Lehtikunnas,
Barbro Back,
Helena Karsten,
Sanna Salanterä,
Tapio Salakoski:
Towards Automated Classification of Intensive Care Nursing Narratives.
MIE 2006: 789-794 |
| 5 |  | 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.
I. J. Medical Informatics 75(6): 430-442 (2006) |
| 2005 |
| 4 |  | Tapio Pahikkala,
Sampo Pyysalo,
Filip Ginter,
Jorma Boberg,
Jouni Järvinen,
Tapio Salakoski:
Kernels Incorporating Word Positional Information in Natural Language Disambiguation Tasks.
FLAIRS Conference 2005: 442-448 |
| 3 |  | Evgeni Tsivtsivadze,
Tapio Pahikkala,
Sampo Pyysalo,
Jorma Boberg,
Aleksandr Mylläri,
Tapio Salakoski:
Regularized Least-Squares for Parse Ranking.
IDA 2005: 464-474 |
| 2 |  | 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 Bioinformatics 6: 157 (2005) |
| 2004 |
| 1 |  | 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 |