Emil Eirola
M.Sc. (Tech.), Researcher
- Office:
-
Room A344 in Computer Science Building,
Konemiehentie 2, Otaniemi campus area, Espoo - Postal Address:
-
Aalto University
Department of Information and Computer Science,
P.O. Box 15400, FI-00076 Aalto, Finland - Telephone:
- +358 40 5855378
- Email:
- firstname.lastname at aalto.fi
Description
I am currently a doctoral student after completing my master's studies in 2009 as a research assistant in the TSPCi group.
I am the course assistant for T-61.3040 Statistical Signal Modeling and T-79.5205 Combinatorics.
Research
Currently working on causal feature selection and ensemble modelling applied to Baltic sea datasets. Previously also work on noise variance estimation and input selection methods, particularly from the point of view of autoregressive time series prediction.
Publications
List of Publications. Order by: Type | Date
1. Regularized Extreme Learning Machine For Regression with Missing Data
Qi Yu, Yoan Miche, Emil Eirola, Mark van Heeswijk, Eric Séverin and Amaury Lendasse.
In Neurocomputing. 2012, accepted for publishing.
1. Ensembles of Local Linear Models for Bankruptcy Analysis and Prediction
Laura Kainulainen, Yoan Miche, Emil Eirola, Qi Yu, Benoît Frénay, Eric Séverin and Amaury Lendasse.
In Case Studies in Business, Industry and Government Statistics (CSBIGS), volume 4. November, 2011.
2. Ensembles of Locally Linear Models: Application to Bankruptcy Prediction
Laura Kainulainen, Qi Yu, Yoan Miche, Emil Eirola, Eric Séverin and Amaury Lendasse.
In Proceedings of the 2010 International Conference on Data Mining, pages 280--286. July, 2010.
1. Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs
Yoan Miche, Emil Eirola, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse and Michel Verleysen.
In ESANN2010: 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pages 19--24. April 28--30, 2010.
2. Master's thesis Presentation
Emil Eirola.
November, 2009.
1. Variable Selection with the Delta Test in Theory and Practice
Emil Eirola.
November, 2009.
1. Using the Delta test for variable selection
Emil Eirola, Elia Liitiäinen, Amaury Lendasse, Francesco Corona and Michel Verleysen.
In Proceedings of ESANN 2008, European Symposium on Artificial Neural Networks, Bruges (Belgium), pages 25--30. April 23-25, 2008.
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