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Antti Airola
2010 – today
- 2012
[j12]Tapio Pahikkala, Sebastian Okser, Antti Airola, Tapio Salakoski, Tero Aittokallio: Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations. Algorithms for Molecular Biology 7: 11 (2012)- [j11]Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala: Efficient recurrent local search strategies for semi- and unsupervised regularized least-squares classification. Evolutionary Intelligence 5(3): 189-205 (2012)
- [j10]Tapio Pahikkala, Antti Airola, Thomas Canhao Xu, Pasi Liljeberg, Hannu Tenhunen, Tapio Salakoski: Parallelized Online Regularized Least-Squares for Adaptive Embedded Systems. IJERTCS 3(2): 73-91 (2012)
- [j9]Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock, Bernard De Baets: A Kernel-Based Framework for Learning Graded Relations From Data. IEEE T. Fuzzy Systems 20(6): 1090-1101 (2012)
- [c15]Thomas Canhao Xu, Tapio Pahikkala, Antti Airola, Pasi Liljeberg, Juha Plosila, Tapio Salakoski, Hannu Tenhunen: Implementation and Analysis of Block Dense Matrix Decomposition on Network-on-Chips. HPCC-ICESS 2012: 516-523
- [c14]Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer: Unsupervised Multi-class Regularized Least-Squares Classification. ICDM 2012: 585-594
- [c13]Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer: Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines. ICPRAM (1) 2012: 45-54
- [c12]Sebastian Okser, Antti Airola, Tero Aittokallio, Tapio Salakoski, Tapio Pahikkala: Parallel Feature Selection for Regularized Least-Squares. PARA 2012: 280-294
- [i2]Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman: Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data. CoRR abs/1209.4825 (2012)
- 2011
- [j8]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)
- [j7]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)
- [j6]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)
- [j5]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)
- [c11]Sebastian Okser, Tapio Pahikkala, Antti Airola, Tero Aittokallio, Tapio Salakoski: Fast and parallelized greedy forward selection of genetic variants in Genome-wide association studies. GENSiPS 2011: 214-217
- [c10]Antti Airola, Tapio Pahikkala, Tapio Salakoski: An Improved Training Algorithm for the Linear Ranking Support Vector Machine. ICANN (1) 2011: 134-141
- [c9]Pekka Naula, Tapio Pahikkala, Antti Airola, Tapio Salakoski: Greedy Regularized Least-Squares for Multi-task Learning. ICDM Workshops 2011: 527-533
- [c8]Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala: Speedy Local Search for Semi-Supervised Regularized Least-Squares. KI 2011: 87-98
- [c7]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
- [c6]Pekka Naula, Tapio Pahikkala, Antti Airola, Tapio Salakoski: Learning Multi-Label Predictors under Sparsity Budget. SCAI 2011: 30-39
- [i1]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)
- 2010
- [j4]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)
- [c5]Tapio Pahikkala, Antti Airola, Tapio Salakoski: Speeding Up Greedy Forward Selection for Regularized Least-Squares. ICMLA 2010: 325-330
- [c4]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
- [c3]Tapio Pahikkala, Willem Waegeman, Antti Airola, Tapio Salakoski, Bernard De Baets: Conditional Ranking on Relational Data. ECML/PKDD (2) 2010: 499-514
2000 – 2009
- 2009
- [j3]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
- [j2]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)
- [j1]Sampo Pyysalo, Antti Airola, Juho Heimonen, Jari Björne, Filip Ginter, Tapio Salakoski: Comparative analysis of five protein-protein interaction corpora. BMC Bioinformatics 9(S-3) (2008)
- [c2]Tapio Pahikkala, Antti Airola, Hanna Suominen, Jorma Boberg, Tapio Salakoski: Efficient AUC Maximization with Regularized Least-Squares. SCAI 2008: 12-19
- [c1]Evgeni Tsivtsivadze, Tapio Pahikkala, Antti Airola, Jorma Boberg, Tapio Salakoski: A Sparse Regularized Least-Squares Preference Learning Algorithm. SCAI 2008: 76-83
Coauthor Index
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last updated on 2013-05-10 02:54 CEST by the dblp team