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Richard Labib
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2010 – 2019
- 2013
- [j6]P.-Y. L'Esperance, Richard Labib:
Model of an Excitatory Synapse Based on Stochastic Processes. IEEE Trans. Neural Networks Learn. Syst. 24(9): 1449-1458 (2013) - 2012
- [j5]Richard Labib, Simon de Montigny:
On the Learning Potential of the Approximated Quantron. Int. J. Neural Syst. 22(3) (2012) - 2011
- [c3]Simon de Montigny, Richard Labib:
Learning algorithms for a specific configuration of the quantron. IJCNN 2011: 567-572 - 2010
- [j4]Richard Labib, Karim Khattar:
MLP bilinear separation. Neural Comput. Appl. 19(2): 305-315 (2010)
2000 – 2009
- 2009
- [j3]Jean-François Connolly, Richard Labib:
A Multiscale Scheme for Approximating the Quantron's Discriminating Function. IEEE Trans. Neural Networks 20(8): 1254-1266 (2009) - 2007
- [j2]Richard Labib, Reza Assadi:
Modified multi-layered perceptron applied to packing and covering problems. Neural Comput. Appl. 16(2): 173-186 (2007) - 2005
- [j1]Richard Labib, Francis Audette, Alexandre Fortin, Reza Assadi:
Hardware implementation of a new artificial neuron. Int. J. Neural Syst. 15(6): 427-433 (2005) - 2004
- [c2]Frédéric Ratle, Benoît Lecarpentier, Richard Labib, François Trochu:
Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm. PPSN 2004: 803-811
1990 – 1999
- 1999
- [c1]Richard Labib:
New single neuron structure for solving nonlinear problems. IJCNN 1999: 617-620
Coauthor Index
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