Mark van Heeswijk

20 papers B 1C 1Journal 10Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Comparing Human and Machine Translations of Generative Language Model Evaluation Datasets. NoDaLiDa/Baltic-HLT Sander Bijl de Vroe, George Stampoulidis, Kai Hakala, Aku Rouhe, Mark van Heeswijk, Jussi Karlgren
2019	J	`jnl`	Method for Detecting aging Related Failures of Process Sensors via noise signal Measurement. Int. J. Comput. Topi Toosi, Miki Sirola, Jarkko Laukkanen, Mark van Heeswijk, Juha Karhunen
2017	—	`conf`	Detecting aging of process sensors with noise signal measurement. IDAACS Topi Toosi, Miki Sirola, Jarkko Laukkanen, Mark van Heeswijk, Juha Karhunen
2016	—	`conf`	Air quality forecasting using neural networks. SSCI Chen Zhao, Mark van Heeswijk, Juha Karhunen
2015	—	`—`	Advances in Extreme Learning Machines. Mark van Heeswijk
2015	J	`jnl`	Binary/ternary extreme learning machines. Neurocomputing Mark van Heeswijk, Yoan Miche
2014	C	`conf`	Compressive ELM: Improved Models through Exploiting Time-Accuracy Trade-Offs. EANN Mark van Heeswijk, Amaury Lendasse, Yoan Miché
2014	J	`jnl`	Ensemble delta test-extreme learning machine (DT-ELM) for regression. Neurocomputing Qi Yu, Mark van Heeswijk, Yoan Miche, Rui Nian, Bo He, Eric Séverin, Amaury Lendasse
2014	J	`jnl`	Extreme learning machine towards dynamic model hypothesis in fish ethology research. Neurocomputing Rui Nian, Bo He, Bing Zheng, Mark van Heeswijk, Qi Yu, Yoan Miche, Amaury Lendasse
2014	J	`jnl`	Fast Face Recognition Via Sparse Coding and Extreme Learning Machine. Cogn. Comput. Bo He, Dongxun Xu, Rui Nian, Mark van Heeswijk, Qi Yu, Yoan Miche, Amaury Lendasse
2014	J	`jnl`	Fast Feature Selection in a GPU Cluster Using the Delta Test. Entropy Alberto Guillén, M. Isabel García Arenas, Mark van Heeswijk, Dusan Sovilj, Amaury Lendasse, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
2013	—	`conf`	Extreme Learning Machine: A Robust Modeling Technique? Yes! IWANN (1) Amaury Lendasse, Anton Akusok, Olli Simula, Francesco Corona, Mark van Heeswijk, Emil Eirola, Yoan Miche
2013	J	`jnl`	Feature selection for nonlinear models with extreme learning machines. Neurocomputing Benoît Frénay, Mark van Heeswijk, Yoan Miche, Michel Verleysen, Amaury Lendasse
2013	J	`jnl`	Regularized extreme learning machine for regression with missing data. Neurocomputing Qi Yu, Yoan Miche, Emil Eirola, Mark van Heeswijk, Eric Séverin, Amaury Lendasse
2012	—	`ch.`	Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator. Parallel Architectures and Bioinspired Algorithms Alberto Guillén, Dusan Sovilj, Mark van Heeswijk, Luis Javier Herrera, Amaury Lendasse, Héctor Pomares, Ignacio Rojas
2011	J	`jnl`	GPU-accelerated and parallelized ELM ensembles for large-scale regression. Neurocomputing Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse
2011	J	`jnl`	TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization. Neurocomputing Yoan Miche, Mark van Heeswijk, Patrick Bas, Olli Simula, Amaury Lendasse
2011	—	`conf`	Variable Selection in a GPU Cluster Using Delta Test. IWANN (1) Alberto Guillén, Mark van Heeswijk, Dusan Sovilj, Maribel García Arenas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
2010	B	`conf`	Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs. ESANN Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse
2009	—	`conf`	Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction. ICANN (2) Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter A. J. Hilbers, Timo Honkela, Erkki Oja, Amaury Lendasse