David Verstraeten

Publication Activity (10 Years)

Years Active: 2005-2014
Publications (10 Years): 0

Top Topics

Hyperparameters

Reservoir Computing

Periodic Patterns

Regularization Parameter

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Eng. Appl. Artif. Intell.

Publications

Martin Andre Agnes Fiers, Thomas Van Vaerenbergh, Francis Wyffels, David Verstraeten, Benjamin Schrauwen, Joni Dambre, Peter Bienstman
Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns. IEEE Trans. Neural Networks Learn. Syst. 25 (2) (2014)
John B. Butcher, C. R. Day, J. C. Austin, Peter Haycock, David Verstraeten, Benjamin Schrauwen
Defect Detection in Reinforced Concrete Using Random Neural Architectures. Comput. Aided Civ. Infrastructure Eng. 29 (3) (2014)
John B. Butcher, David Verstraeten, Benjamin Schrauwen, Charles Day, Peter Haycock
Reservoir computing and extreme learning machines for non-linear time-series data analysis. Neural Networks 38 (2013)
Pieter Buteneers, Ken Caluwaerts, Joni Dambre, David Verstraeten, Benjamin Schrauwen
Optimized Parameter Search for Large Datasets of the Regularization Parameter and Feature Selection for Ridge Regression. Neural Process. Lett. 38 (3) (2013)
Femke Ongenae, Stijn Van Looy, David Verstraeten, Thierry Verplancke, Dominique Benoit, Filip De Turck, Tom Dhaene, Benjamin Schrauwen, Johan Decruyenaere
Time series classification for the prediction of dialysis in critically ill patients using echo statenetworks. Eng. Appl. Artif. Intell. 26 (3) (2013)
Ken Caluwaerts, Michiel D'Haene, David Verstraeten, Benjamin Schrauwen
Locomotion Without a Brain: Physical Reservoir Computing in Tensegrity Structures. Artif. Life 19 (1) (2013)
Hannes Verschore, Pieter-Jan Kindermans, David Verstraeten, Benjamin Schrauwen
Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller. ICANN (1) (2012)
David Verstraeten, Benjamin Schrauwen, Sander Dieleman, Philemon Brakel, Pieter Buteneers, Dejan Pecevski
Oger: modular learning architectures for large-scale sequential processing. J. Mach. Learn. Res. 13 (2012)
Pieter-Jan Kindermans, Hannes Verschore, David Verstraeten, Benjamin Schrauwen
A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling. NIPS (2012)
Pieter Buteneers, David Verstraeten, Pieter van Mierlo, Tine Wyckhuys, Dirk Stroobandt, Robrecht Raedt, Hans Hallez, Benjamin Schrauwen
Automatic detection of epileptic seizures on the intra-cranial electroencephalogram of rats using reservoir computing. Artif. Intell. Medicine 53 (3) (2011)
Azarakhsh Jalalvand, Fabian Triefenbach, David Verstraeten, Jean-Pierre Martens
Connected Digit Recognition by Means of Reservoir Computing. INTERSPEECH (2011)
Kristof Vandoorne, Joni Dambre, David Verstraeten, Benjamin Schrauwen, Peter Bienstman
Parallel Reservoir Computing Using Optical Amplifiers. IEEE Trans. Neural Networks 22 (9) (2011)
David Verstraeten, Joni Dambre, Xavier Dutoit, Benjamin Schrauwen
Memory versus non-linearity in reservoirs. IJCNN (2010)
John B. Butcher, David Verstraeten, Benjamin Schrauwen, Charles Day, Peter Haycock
Extending reservoir computing with random static projections: a hybrid between extreme learning and RC. ESANN (2010)
David Verstraeten, Benjamin Schrauwen
On the Quantification of Dynamics in Reservoir Computing. ICANN (1) (2009)
Kristof Vandoorne, Wouter Dierckx, Benjamin Schrauwen, David Verstraeten, Peter Bienstman, Roel Baets, Jan M. Van Campenhout
Photonic Reservoir Computing with Coupled Semiconductor Optical Amplifiers. OSC (2008)
Francis Wyffels, Benjamin Schrauwen, David Verstraeten, Dirk Stroobandt
Band-pass Reservoir Computing. IJCNN (2008)
Pieter Buteneers, Benjamin Schrauwen, David Verstraeten, Dirk Stroobandt
Real-Time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir Computing. ICONIP (1) (2008)
Benjamin Schrauwen, Marion Wardermann, David Verstraeten, Jochen J. Steil, Dirk Stroobandt
Improving reservoirs using intrinsic plasticity. Neurocomputing 71 (7-9) (2008)
Benjamin Schrauwen, Michiel D'Haene, David Verstraeten, Jan M. Van Campenhout
Compact hardware liquid state machines on FPGA for real-time speech recognition. Neural Networks 21 (2-3) (2008)
Benjamin Schrauwen, David Verstraeten, Jan M. Van Campenhout
An overview of reservoir computing: theory, applications and implementations. ESANN (2007)
Benjamin Schrauwen, Jeroen Defour, David Verstraeten, Jan M. Van Campenhout
The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition. ICANN (1) (2007)
David Verstraeten, Benjamin Schrauwen, Dirk Stroobandt
Adapting reservoir states to get Gaussian distributions. ESANN (2007)
Benjamin Schrauwen, Michiel D'Haene, David Verstraeten, Jan M. Van Campenhout
Compact hardware for real-time speech recognition using a Liquid State Machine. IJCNN (2007)
David Verstraeten, Benjamin Schrauwen, Michiel D'Haene, Dirk Stroobandt
An experimental unification of reservoir computing methods. Neural Networks 20 (3) (2007)
David Verstraeten, Benjamin Schrauwen, Dirk Stroobandt
Reservoir-based techniques for speech recognition. IJCNN (2006)
David Verstraeten, Benjamin Schrauwen, Dirk Stroobandt
Isolated word recognition using a Liquid State Machine. ESANN (2005)
David Verstraeten, Benjamin Schrauwen, Dirk Stroobandt, Jan Van Campenhout
: a case study. Inf. Process. Lett. 95 (6) (2005)