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Dušan Sovilj

M.Sc. (Tech.), Researcher

Office:
Room A344 in Computer Science Building,
Konemiehentie 2, Otaniemi campus area, Espoo
Postal Address:
Aalto University School of Science,
Department of Information and Computer Science,
P.O. Box 15400, FI-00076 Aalto, Finland
Telephone:
+358 45 327 33 11 (personal)
Email:
firstname.lastname [at} aalto.fi

Description

Ph.D. student in TSPCi (now EIML) group started in Sep 2009. I received my B.Sc. in Computer Science at University of Novi Sad (Serbia) in 2006, and my M.Sc. in Technology at HUT in 2009.

Research

Time Series Prediction
Variable Selection for Regression
Environmental Modelling

Abstract

Topic of my Master thesis was variable selection using Delta test in context of selection, scaling and projection, used as a preprocessing step before long-term time series prediction. Currently, my Ph.D. research topic is on developing and applying machine learning tools for Baltic Sea data sets to be used in domain of environmental modeling.

Had a research visit to the Leibniz Institute for Baltic Sea Research Warnemünde in Rostock in June/July 2010 for some intensive biology - machine learning collaboration. Second visit to Rostock in July/August 2011 and again, the same institute.

June 2011, change of working place from B307 to A344. Hopefully my candy stash will remain intact in the new place.

Teaching

Publications

List of Publications. Order by:   Type | Date


2016

2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008


1. Extreme Learning Machine for Missing Data using Multiple Imputationsdoipdf filebibtex file

Dušan Sovilj, Emil Eirola, Yoan Miche, Kaj-Mikael Bjork, Rui Nian, Anton Akusok and Amaury Lendasse.
   In Neurocomputing, volume 174, Part A, pages 220 - 231. 2016.

2015

2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008


1. Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Modelsdoipdf filebibtex file

Emil Eirola, Andrey Gritsenko, Anton Akusok, Kaj-Mikael Bjork, Yoan Miche, Dušan Sovilj, Rui Nian, Bo He and Amaury Lendasse.
   In Advances in Computational Intelligence - 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part II, volume 9095, pages 153-164. 2015.

2014

2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008


1. Fast Feature Selection in a GPU Cluster Using the Delta Testurldoipdf filebibtex file

Alberto Guillén, Maribel García Arenas, Mark van Heeswijk, Dušan Sovilj, Amaury Lendasse, Luis Herrera, Hector Pomares and Ignacio Rojas.
   In Entropy, volume 16, pages 854-869. February, 2014.

2013

2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008


1. Extending Extreme Learning Machine with Combination Layerpdf filebibtex file

Dušan Sovilj, Amaury Lendasse and Olli Simula.
   In IWANN 2013, Part I, volume 7902, pages 417-426. June 12-14, 2013.

2012

2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008


3. Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimatordoibibtex file

Alberto Guillén, Dušan Sovilj, Mark van Heeswijk, Luis Javier Herrera, Amaury Lendasse, Hector Pomares and Ignacio Rojas.
Studies in Computational Intelligence, , volume 415, pages 243-266 2012.

2. Relevance learning for time series inspectionurlpdf filebibtex file

Andrej Gisbrecht, Dušan Sovilj, Barbara Hammer and Amaury Lendasse.
   In ESANN'12, pages 489-494. April 25-27, 2012.

1. Climate induced changes in benthic macrofauna -- a non-linear model approachurldoipdf filebibtex file

Karin Junker, Dušan Sovilj, Ingrid Kröncke and Joachim Dippner.
   In Journal of Marine Systems, volume 96-97, pages 90-94. August, 2012.

2011

2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008


2. Variable Selection in a GPU Cluster Using Delta Testdoipdf filebibtex file

Alberto Guillén, Mark van Heeswijk, Dušan Sovilj, Maribel García Arenas, Luis Javier Herrera, Hector Pomares and Ignacio Rojas.
   In IWANN (1), pages 393-400. 2011.

1. Multistart Strategy using Delta Test for Variable Selectionpdf filebibtex file

Dušan Sovilj.
   In ICANN 2011, volume 6792, pages 413--420. June, 2011.

2010

2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008


3. Extending Self-Organizing Maps with Uncertainty Information of Probabilistic PCApdf filebibtex file

Dušan Sovilj, Tapani Raiko and Erkki Oja.
   In IJCNN, pages 1915--1921. July 18-23, 2010.

2. Approximate k-NN Delta Test Minimization Method using Genetic Algorithms: Application to Time Seriesdoipdf filebibtex file

Fernando Mateo, Dušan Sovilj and Rafael Gadea.
   In Neurocomputing, volume 73, pages 2017-2029. June, 2010.

1. OPELM and OPKNN in long-term prediction of time series using projected input datadoipdf filebibtex file

Dušan Sovilj, Antti Sorjamaa, Qi Yu, Yoan Miche and Eric Séverin.
   In Neurocomputing, volume 73, pages 1976-1986. June, 2010.

2009

2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008


2. RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasksdoipdf filebibtex file

Fernando Mateo, Dušan Sovilj, Rafael Gadea and Amaury Lendasse.
   In IWANN 2009, volume 5517, pages 359-366. June 10-12, 2009.

1. Fast Variable Selection using Delta Testpdf filebibtex file

Dušan Sovilj.
September, 2009.

2008

2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008


3. New Methodologies Based on Delta Test for Variable Selection in Regression Problemspdf filebibtex file

Alberto Guillén, Dušan Sovilj, Fernando Mateo, Ignacio Rojas and Amaury Lendasse.
   In Workshop on Parallel Architectures and Bioinspired Algorithms. October 25-29, 2008.

2. Tabu Search with Delta Test for Time Series Prediction using OP-KNNpdf filebibtex file

Dušan Sovilj, Antti Sorjamaa and Yoan Miche.
   In ESTSP, European Symposium on Time Series Prediction, pages 187-196. September 17-19, 2008.

1. Minimizing the Delta Test for Variable Selection in Regression Problemsdoipdf filebibtex file

Alberto Guillén, Dušan Sovilj, Fernando Mateo, Ignacio Rojas and Amaury Lendasse.
   In International Journal of High Performance Systems Architecture, volume 1, pages 269-281. 2008.



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