Mark van Heeswijk

According to our database1, Mark van Heeswijk authored at least 18 papers between 2009 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2017
Detecting aging of process sensors with noise signal measurement.
Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2017

2016
Air quality forecasting using neural networks.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015
Advances in Extreme Learning Machines.
PhD thesis, 2015

Binary/ternary extreme learning machines.
Neurocomputing, 2015

2014
Ensemble delta test-extreme learning machine (DT-ELM) for regression.
Neurocomputing, 2014

Extreme learning machine towards dynamic model hypothesis in fish ethology research.
Neurocomputing, 2014

Fast Feature Selection in a GPU Cluster Using the Delta Test.
Entropy, 2014

Fast Face Recognition Via Sparse Coding and Extreme Learning Machine.
Cogn. Comput., 2014

Compressive ELM: Improved Models through Exploiting Time-Accuracy Trade-Offs.
Proceedings of the Engineering Applications of Neural Networks, 2014

2013
Regularized extreme learning machine for regression with missing data.
Neurocomputing, 2013

Feature selection for nonlinear models with extreme learning machines.
Neurocomputing, 2013

Extreme Learning Machine: A Robust Modeling Technique? Yes!
Proceedings of the Advances in Computational Intelligence, 2013

2012
Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator.
Proceedings of the Parallel Architectures and Bioinspired Algorithms, 2012

2011
TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization.
Neurocomputing, 2011

GPU-accelerated and parallelized ELM ensembles for large-scale regression.
Neurocomputing, 2011

Variable Selection in a GPU Cluster Using Delta Test.
Proceedings of the Advances in Computational Intelligence, 2011

2010
Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009
Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction.
Proceedings of the Artificial Neural Networks, 2009


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