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; Amaury Lendasse (ICANN (2), 2009)

Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs. - Mark van Heeswijk; Yoan Miche; Erkki Oja; Amaury Lendasse (ESANN, 2010)

Variable Selection in a GPU Cluster Using Delta Test. - Alberto Guillén; Mark van Heeswijk; Dusan Sovilj; Maribel García Arenas; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas (IWANN (1), 2011)

GPU-accelerated and parallelized ELM ensembles for large-scale regression. - Mark van Heeswijk; Yoan Miche; Erkki Oja; Amaury Lendasse (Neurocomputing, 2011)

TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization. - Yoan Miche; Mark van Heeswijk; Patrick Bas; Olli Simula; Amaury Lendasse (Neurocomputing, 2011)

Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator. - Alberto Guillén; Dusan Sovilj; Mark van Heeswijk; Luis Javier Herrera; Amaury Lendasse; Héctor Pomares; Ignacio Rojas (Parallel Architectures and Bioinspired Algorithms, 2012)

Extreme Learning Machine: A Robust Modeling Technique? Yes! - Amaury Lendasse; Anton Akusok; Olli Simula; Francesco Corona; Mark van Heeswijk; Emil Eirola; Yoan Miche (IWANN (1), 2013)

Feature selection for nonlinear models with extreme learning machines. - Benoît Frénay; Mark van Heeswijk; Yoan Miche; Michel Verleysen; Amaury Lendasse (Neurocomputing, 2013)

Regularized extreme learning machine for regression with missing data. - Qi Yu 004; Yoan Miche; Emil Eirola; Mark van Heeswijk; Eric Séverin; Amaury Lendasse (Neurocomputing, 2013)

Compressive ELM: Improved Models through Exploiting Time-Accuracy Trade-Offs. - Mark van Heeswijk; Amaury Lendasse; Yoan Miché (EANN, 2014)

Fast Face Recognition Via Sparse Coding and Extreme Learning Machine. - Bo He 002; Dongxun Xu; Rui Nian; Mark van Heeswijk; Qi Yu 004; Yoan Miche; Amaury Lendasse (Cogn. Comput., 2014)

Fast Feature Selection in a GPU Cluster Using the Delta Test. - Alberto Guillén; M. Isabel García Arenas; Mark van Heeswijk; Dusan Sovilj; Amaury Lendasse; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas (Entropy, 2014)

Extreme learning machine towards dynamic model hypothesis in fish ethology research. - Rui Nian; Bo He 002; Bing Zheng; Mark van Heeswijk; Qi Yu 004; Yoan Miche; Amaury Lendasse (Neurocomputing, 2014)

Ensemble delta test-extreme learning machine (DT-ELM) for regression. - Qi Yu 004; Mark van Heeswijk; Yoan Miche; Rui Nian; Bo He 002; Eric Séverin; Amaury Lendasse (Neurocomputing, 2014)

Binary/ternary extreme learning machines. - Mark van Heeswijk; Yoan Miche (Neurocomputing, 2015)

Advances in Extreme Learning Machines. - Mark van Heeswijk (2015)

Air quality forecasting using neural networks. - Chen Zhao; Mark van Heeswijk; Juha Karhunen (SSCI, 2016)

Detecting aging of process sensors with noise signal measurement. - Topi Toosi; Miki Sirola; Jarkko Laukkanen; Mark van Heeswijk; Juha Karhunen (IDAACS, 2017)

Method for Detecting aging Related Failures of Process Sensors via noise signal Measurement. - Topi Toosi; Miki Sirola; Jarkko Laukkanen; Mark van Heeswijk; Juha Karhunen (Int. J. Comput., 2019)