David Verstraeten

According to our database1, David Verstraeten authored at least 28 papers between 2005 and 2014.

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

Timeline

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Bibliography

2014
Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns.
IEEE Trans. Neural Networks Learn. Syst., 2014

Defect Detection in Reinforced Concrete Using Random Neural Architectures.
Comput. Aided Civ. Infrastructure Eng., 2014

2013
Optimized Parameter Search for Large Datasets of the Regularization Parameter and Feature Selection for Ridge Regression.
Neural Process. Lett., 2013

Reservoir computing and extreme learning machines for non-linear time-series data analysis.
Neural Networks, 2013

Time series classification for the prediction of dialysis in critically ill patients using echo statenetworks.
Eng. Appl. Artif. Intell., 2013

Locomotion Without a Brain: Physical Reservoir Computing in Tensegrity Structures.
Artif. Life, 2013

2012
Oger: modular learning architectures for large-scale sequential processing.
J. Mach. Learn. Res., 2012

A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Parallel Reservoir Computing Using Optical Amplifiers.
IEEE Trans. Neural Networks, 2011

Automatic detection of epileptic seizures on the intra-cranial electroencephalogram of rats using reservoir computing.
Artif. Intell. Medicine, 2011

Connected Digit Recognition by Means of Reservoir Computing.
Proceedings of the INTERSPEECH 2011, 2011

2010
Memory versus non-linearity in reservoirs.
Proceedings of the International Joint Conference on Neural Networks, 2010

Extending reservoir computing with random static projections: a hybrid between extreme learning and RC.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009
On the Quantification of Dynamics in Reservoir Computing.
Proceedings of the Artificial Neural Networks, 2009

2008
Compact hardware liquid state machines on FPGA for real-time speech recognition.
Neural Networks, 2008

Improving reservoirs using intrinsic plasticity.
Neurocomputing, 2008

Photonic Reservoir Computing with Coupled Semiconductor Optical Amplifiers.
Proceedings of the Optical Super Computing, First International Workshop, 2008

Band-pass Reservoir Computing.
Proceedings of the International Joint Conference on Neural Networks, 2008

Real-Time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir Computing.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007
An experimental unification of reservoir computing methods.
Neural Networks, 2007

Compact hardware for real-time speech recognition using a Liquid State Machine.
Proceedings of the International Joint Conference on Neural Networks, 2007

The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition.
Proceedings of the Artificial Neural Networks, 2007

Adapting reservoir states to get Gaussian distributions.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

An overview of reservoir computing: theory, applications and implementations.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
Reservoir-based techniques for speech recognition.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Isolated word recognition with the <i>Liquid State Machine</i>: a case study.
Inf. Process. Lett., 2005

Isolated word recognition using a Liquid State Machine.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005


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