Mark van Heeswijk

Aalto University — Finland

Computer Science · Physical Sciences

12h-index966citations21works0.02yr avg
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Research Topics

Machine Learning and ELM(15), Neural Networks and Applications(8), MicroRNA in disease regulation(4), Domain Adaptation and Few-Shot Learning(4), Face and Expression Recognition(2)

Publications21 total

METHOD FOR DETECTING AGING RELATED FAILURES OF PROCESS SENSORS VIA NOISE SIGNAL MEASUREMENT
International Journal of Computing·2019· 10 citedOpen Access
Detecting aging of process sensors with noise signal measurement
2017· 2 cited
Air quality forecasting using neural networks
2016· 14 citedOpen Access
Advances in Extreme Learning Machines
2015· 10 citedOpen Access
Binary/ternary extreme learning machines
Neurocomputing·2014· 37 cited
Fast Feature Selection in a GPU Cluster Using the Delta Test
Entropy·2014· 14 citedOpen Access
Compressive ELM: Improved Models through Exploiting Time-Accuracy Trade-Offs
Communications in computer and information science·2014
Extreme learning machine towards dynamic model hypothesis in fish ethology research
Neurocomputing·2013· 54 cited
Ensemble delta test-extreme learning machine (DT-ELM) for regression
Neurocomputing·2013· 39 cited
Fast Face Recognition Via Sparse Coding and Extreme Learning Machine
Cognitive Computation·2013· 57 cited
Extreme Learning Machine: A Robust Modeling Technique? Yes!
Lecture notes in computer science·2013· 19 cited
12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013
2013
Feature selection for nonlinear models with extreme learning machines
Neurocomputing·2012· 80 cited
Regularized extreme learning machine for regression with missing data
Neurocomputing·2012· 118 cited
Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator
Studies in computational intelligence·2012· 4 cited
TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization
Neurocomputing·2011· 225 cited
GPU-accelerated and parallelized ELM ensembles for large-scale regression
Neurocomputing·2011· 163 cited
Variable Selection in a GPU Cluster Using Delta Test
Lecture notes in computer science·2011· 2 citedOpen Access
Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs
The European Symposium on Artificial Neural Networks·2010· 11 cited
Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction
Lecture notes in computer science·2009· 107 cited
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Frequent Co-authors

Amaury Lendasse(14), Yoan Miché(13), Qi Yu(4), Olli Simula(3), Erkki Oja(3), Emil Eirola(3), Rui Nian(3), Juha Karhunen(3), Alberto Guillén(3), Dušan Sovilj(3), Luis Javier Herrera(3), H. Pomares(3), Ignacio Rojas(3), Éric Séverin(2), Bo He(2), Anton Akusok(2), Francesco Corona(2), M. G. Arenas(2), Topi Toosi(2), Miki Sirola(2)