Mark van Heeswijk
Mark van Heeswijk
M.Sc. (Tech.), Researcher
- Office:
-
Room T-A335 in Computer Science Building
Konemiehentie 2, Otaniemi campus area, Espoo - Postal Address:
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Aalto University School of Science
Department of Information and Computer Science
PO Box 15400, FI-00076 Aalto, Finland - Telephone:
- +358 40 856 3411
- Email:
- mark.van.heeswijk ät aalto.fi
About me
Since September 2009, I am working as a Ph.D. student in the Environmental and Industrial Machine Learning (EIML) Group. Before that, I have been working in both the EIML group and Computational Cognitive Systems Group on my Master's Thesis titled "Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction", which I completed in August 2009.
Research
Scalable Machine Learning Methods, Ensemble Models, Extreme Learning Machine, Deep Belief Networks.
Publications
List of Publications. Order by: Type | Date
1. Feature Selection for Nonlinear Models using Extreme Learning Machines
Benoît Frénay, Mark van Heeswijk, Yoan Miche, Michel Verleysen and Amaury Lendasse.
In Neurocomputing. to appear, accepted for publication.
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.
3. Variable Selection in a GPU Cluster Using Delta Test
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.
2. GPU-Accelerated and Parallelized ELM Ensembles for Large-scale Regression
Mark van Heeswijk, Yoan Miche, Erkki Oja and Amaury Lendasse.
In Neurocomputing, volume 74, pages 2430-2437. September, 2011.
1. TROP-ELM: a Double-Regularized ELM using LARS and Tikhonov Regularization
Yoan Miche, Mark van Heeswijk, Patrick Bas, Olli Simula and Amaury Lendasse.
In Neurocomputing, volume 74, pages 2413-2421. September, 2011.
1. Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs
Mark van Heeswijk, Yoan Miche, Erkki Oja and Amaury Lendasse.
In ESANN2010: 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pages 309--314. April 28--30, 2010.
1. Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction
Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter A.J. Hilbers, Timo Honkela, Erkki Oja and Amaury Lendasse.
In ICANN 2009, Part II, volume 5769, pages 305-314. 2009.
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