2012 |
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12 | Karin Junker, Dusan Sovilj, Ingrid Krönke, and Joachim Dippner. Climate induced changes in benthic macrofauna – A non-linear model approach. Journal of Marine Systems, 96-97(0):90–94, August 2012. |
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11 | Andrej Gisbrecht, Dusan Sovilj, Barbara Hammer, and Amaury Lendasse. Relevance learning for time series inspection. In ESANN 2012, Computational Intelligence and Machine Learning, pages 489–494, April 25-27 2012. |
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10 | Alberto Guillén, Dusan Sovilj, Mark van Heeswijk, Luis Javier Herrera, Amaury Lendasse, Héctor Pomares, and Ignacio Rojas. Evolutive approaches for variable selection using a non-parametric noise estimator. In Francisco Fernández de Vega, José Ignacio Hidalgo Pérez, and Juan Lanchares, editors, Parallel Architectures and Bioinspired Algorithms, volume 415 of Studies in Computational Intelligence, pages 243–266. Springer, Berlin Heidelberg, 2012. |
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2011 |
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9 | Dusan Sovilj. Multistart strategy using delta test for variable selection. In Timo Honkela, Włodzisław Duch, Mark Girolami, and Samuel Kaski, editors, ICANN 2011, Part II, volume 6792 of Lecture Notes in Computer Science, pages 413–420. Springer, June 14-17 2011. |
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8 | Alberto Guillén, Mark van Heeswijk, Dusan Sovilj, Maribel García Arenas, Luis Javier Herrera, Hector Pomares, and Ignacio Rojas. Variable selection in a GPU cluster using delta test. In IWANN (1), pages 393–400, 2011. |
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2010 |
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7 | Dusan Sovilj, Tapani Raiko, and Erkki Oja. Extending self-organizing maps with uncertainty information of probabilistic pca. In IJCNN 2010, pages 1915–1921, Barcelona, Spain, July 18-23 2010. |
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6 | Fernando Mateo, Dusan Sovilj, and Rafael Gadea. Approximate k-NN delta test minimization method using genetic algorithms: Application to time series. Neurocomputing, 73(10-12):2017–2029, June 2010. |
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5 | Dusan Sovilj, Antti Sorjamaa, Qi Yu, Yoan Miche, and Eric Séverin. OP-ELM and OP-KNN in long-term prediction of time series using projected input data. Neurocomputing, 73(10-12):1976–1986, June 2010. |
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2009 |
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4 | Fernando Mateo, Dusan Sovilj, Rafael Gadea, and Amaury Lendasse. RCGA-S/RCGA-SP methods to minimize the delta test for regression tasks. In IWANN 2009, volume 5517 of Lecture Notes in Computer Science, pages 359–366, Salamanca, Spain, June 10-12 2009. Springer. |
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2008 |
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3 | Alberto Guillén, Dusan Sovilj, Fernando Mateo, Ignacio Rojas, and Amaury Lendasse. New methodologies based on delta test for variable selection in regression problems. In Workshop on Parallel Architectures and Bioinspired Algorithms, Toronto, Canada, October 25-29 2008. |
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2 | Dusan Sovilj, Antti Sorjamaa, and Yoan Miche. Tabu search with delta test for time series prediction using OP-KNN. In Amaury Lendasse, editor, ESTSP, European Symposium on Time Series Prediction, pages 187–196, Porvoo, Finland, September 17-19 2008. Multiprint Oy / Otamedia , Espoo, Finland. |
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1 | Alberto Guillén, Dusan Sovilj, Fernando Mateo, Ignacio Rojas, and Amaury Lendasse. Minimizing the delta test for variable selection in regression problems. International Journal of High Performance Systems Architecture, 1(4):269–281, 2008. |
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