Environmental and Industrial Machine Learning Group

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News

23.04.2012

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24.02.2012

Tatiana Chistiakova joins the group as a summer student. Welcome!

24.02.2012

Alexander Grigorievskiy joins the group as a summer student. Welcome!

11.02.2012

The following papers from ELM2011 have been accepted in Neurocomputing:

Benoît Frénay, Mark van Heeswijk, Yoan Miche, Michel Verleysen and Amaury Lendasse, "Feature Selection for Nonlinear Models using Extreme Learning Machines"
Qi Yu, Yoan Miche, Emil Eirola, Mark van Heeswijk, Eric Séverin and Amaury Lendasse, "Regularized Extreme Learning Machine For Regression with Missing Data"

01.02.2012

The following paper has been accepted in the Journal of Marine Systems:

Karin Junker, Dušan Sovilj, Ingrid Kröncke and Joachim Dippner, "Climate induced changes in benthic macrofauna -- a non-linear model approach"

01.02.2012

The following paper has been accepted at ESANN'12:

Andrej Gisbrecht, Dušan Sovilj, Barbara Hammer and Amaury Lendasse, "Relevance learning for time series inspection"

02.12.2011

The following paper has been accepted at the 7th International Conference on Computational Intelligence and Security (CIS2011):

József Hegedüs, Yoan Miche, Alexander Ilin and Amaury Lendasse, "Methodology for Behavioral-based Malware Analysis and Detection using Random Projections and K-Nearest Neighbors Classifiers"

31.10.2011

The following paper has been accepted in Case Studies in Business, Industry and Government Statistics:

Laura Kainulainen, Yoan Miche, Emil Eirola, Qi Yu, Benoît Frénay, Eric Séverin and Amaury Lendasse, "Ensembles of Local Linear Models for Bankruptcy Analysis and Prediction"

01.10.2011

Anton Akusok joins the group as a student. Welcome!

19.09.2011

The following paper has been accepted at the 14th International Symposium on Recent Advances in Intrusion Detection (RAID2011):

József Hegedüs, Yoan Miche, Alexander Ilin and Amaury Lendasse, "Random Projection Method for Scalable Malware Classification"

31.07.2011

The following papers have been accepted at the 18th IFAC World Congress:

05.07.2011

The following paper has been accepted at DMIN'11:

Qi Yu, Yoan Miche, Eric Séverin and Amaury Lendasse, "Bankruptcy Prediction with Missing Data"

30.06.2011

The following papers have been accepted at the 8th IWA Symposium on System Analysis and Integrated Assessment:

02.04.2011

The following paper has been accepted at ICANN'11:

Dusan Sovilj, "Multistart Strategy using Delta Test for Variable Selection"

02.04.2011

The following papers have been accepted at ESANN'11:

02.05.2010

Laura Kainulainen is awarded a full DMIN’10 student sponsorship! Congratulations to Laura and thanks again to DMIN'10 organizers.

21.04.2010

The following paper has been accepted at DMIN'10:

Laura Kainulainen, Qi Yu, Yoan Miche, Emil Eirola, Eric Séverin and Amaury Lendasse, "Ensembles of Locally Linear Models: Application to Bankruptcy Prediction"

06.03.2010

We are happy to tell that Qi Yu gave birth to a beautiful baby. Congratulations to the mother and the father.

01.03.2010

Tommi Pesu joins the group as a summer student. Welcome!

Environmental and Industrial Machine Learning Group

The Environmental and Industrial Machine Learning (EIML) group is a sub-group of the Adaptive Informatics Applications (AIA) group. It is part of both the Department of Information and Computer Science and the Adaptive Informatics Research Centre, Centre of Excellence of the Academy of Finland.

The EIML group is based on the former Time Series Prediction and Chemoinformatics group, and is developing new Machine Learning techniques:

to model environment (using e.g. time series prediction, variable selection and ensemble modeling)
to solve industrial problems (for example in the fields of chemometrics, electricity production and distribution, bankruptcy prediction and information security.

The EIML group has been created and is lead by Dr. Amaury Lendasse, Docent. The Industrial Machine Learning is under the responsibility of Dr. Francesco Corona, Docent.

Personnel

Group Leader	Postdocs
Amaury Lendasse	Francesco Corona	Yoan Miche
Doctoral Students
Emil Eirola	Dusan Sovilj	Mark van Heeswijk	Qi Yu	Matthieu Molinier
Students
Anton Akusok	Tatiana Chistiakova	Alexander Grigorievskiy	Tommi Pesu	Ajay Ramaseshan

Alumni (Doctors, Postdocs)

Visitors and Former Students

Benoit Frenay, Alberto Guillen, Jin Hao, Milan Jurik, Yongnan Ji, Laura Kainulainen, Tuomas Kärnä, Fernando Mateo, Nima Reyhani, Eric Séverin, Li Yao, Zhanxing Zhu.

Courses

Current

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Previous

T-61.5010 Information Visualization P, Spring 2012
T-61.3040 Statistical Signal Modeling, Autumn 2011
T-61.9910 Machine Learning for Corporate Finance, Autumn 2011
T-61.5010 Information Visualization P, Spring 2011
T-61.3040 Statistical Signal Modeling, Autumn 2010
T-61.6010 Evolving Intelligent Systems, Methodology and Applications, Autumn 2010
T-61.5010 Information Visualization P, Spring 2010
T-61.6010 Hilbert-Huang Transform and its Applications, Autumn 2009
T-61.6020 Bankruptcy Prediction, Autumn 2009
T-61.6010 High Dimensional Data Analysis, Autumn 2008

Projects

Current

Automaqua: Automation technologies for wastewater treatment plants in the era of data explosion
BONUS+ ERA-Net Project AMBER: Assessment and Modelling of Baltic Ecosystem Response
FP7-PEOPLE IEF: Developing Nonlinear Tools for Environmental Modeling and Chemoinformatics

Past

CHESS: Developing chemometrics with the tools of information technology

Events

In September 2008, we organized the ESTSP'08 conference on time series prediction.
In February 2007, we organized the ESTSP'07 conference on time series prediction.