Mark van Heeswijk

Publication Activity (10 Years)

Years Active: 2009-2019
Publications (10 Years): 3

Top Venues

Neurocomputing

EANN

IDAACS

SSCI

Aalto University, Helsinki, Finland (PHD)

Education History

Aalto University, Helsinki, Finland

PHD

Publications

Topi Toosi, Miki Sirola, Jarkko Laukkanen, Mark van Heeswijk, Juha Karhunen
Method for Detecting aging Related Failures of Process Sensors via noise signal Measurement. Int. J. Comput. 18 (2019)
Topi Toosi, Miki Sirola, Jarkko Laukkanen, Mark van Heeswijk, Juha Karhunen
Detecting aging of process sensors with noise signal measurement. IDAACS (2017)
Chen Zhao, Mark van Heeswijk, Juha Karhunen
Air quality forecasting using neural networks. SSCI (2016)
Mark van Heeswijk, Yoan Miche
Binary/ternary extreme learning machines. Neurocomputing 149 (2015)
Rui Nian, Bo He, Bing Zheng, Mark van Heeswijk, Qi Yu, Yoan Miche, Amaury Lendasse
Extreme learning machine towards dynamic model hypothesis in fish ethology research. Neurocomputing 128 (2014)
Qi Yu, Mark van Heeswijk, Yoan Miche, Rui Nian, Bo He, Eric Séverin, Amaury Lendasse
Ensemble delta test-extreme learning machine (DT-ELM) for regression. Neurocomputing 129 (2014)
Mark van Heeswijk, Amaury Lendasse, Yoan Miché
Compressive ELM: Improved Models through Exploiting Time-Accuracy Trade-Offs. EANN (2014)
Alberto Guillén, M. Isabel García Arenas, Mark van Heeswijk, Dusan Sovilj, Amaury Lendasse, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
Fast Feature Selection in a GPU Cluster Using the Delta Test. Entropy 16 (2) (2014)
Bo He, Dongxun Xu, Rui Nian, Mark van Heeswijk, Qi Yu, Yoan Miche, Amaury Lendasse
Fast Face Recognition Via Sparse Coding and Extreme Learning Machine. Cogn. Comput. 6 (2) (2014)
Amaury Lendasse, Anton Akusok, Olli Simula, Francesco Corona, Mark van Heeswijk, Emil Eirola, Yoan Miche
Extreme Learning Machine: A Robust Modeling Technique? Yes! IWANN (1) (2013)
Qi Yu, Yoan Miche, Emil Eirola, Mark van Heeswijk, Eric Séverin, Amaury Lendasse
Regularized extreme learning machine for regression with missing data. Neurocomputing 102 (2013)
Benoît Frénay, Mark van Heeswijk, Yoan Miche, Michel Verleysen, Amaury Lendasse
Feature selection for nonlinear models with extreme learning machines. Neurocomputing 102 (2013)
Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse
GPU-accelerated and parallelized ELM ensembles for large-scale regression. Neurocomputing 74 (16) (2011)
Alberto Guillén, Mark van Heeswijk, Dusan Sovilj, Maribel García Arenas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
Variable Selection in a GPU Cluster Using Delta Test. IWANN (1) (2011)
Yoan Miche, Mark van Heeswijk, Patrick Bas, Olli Simula, Amaury Lendasse
TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization. Neurocomputing 74 (16) (2011)
Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse
Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs. ESANN (2010)
Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter A. J. Hilbers, Timo Honkela, Erkki Oja, Amaury Lendasse
Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction. ICANN (2) (2009)

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Publication Activity (10 Years)

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Mark van Heeswijk