New single neuron structure for solving nonlinear problems. - Richard Labib (IJCNN, 1999)

Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm. - Frédéric Ratle; Benoît Lecarpentier; Richard Labib; François Trochu (PPSN, 2004)

Hardware implementation of a new artificial neuron. - Richard Labib; Francis Audette; Alexandre Fortin; Reza Assadi (Int. J. Neural Syst., 2005)

Modified multi-layered perceptron applied to packing and covering problems. - Richard Labib; Reza Assadi (Neural Comput. Appl., 2007)

A Multiscale Scheme for Approximating the Quantron's Discriminating Function. - Jean-François Connolly; Richard Labib (IEEE Trans. Neural Networks, 2009)

MLP bilinear separation. - Richard Labib; Karim Khattar (Neural Comput. Appl., 2010)

Learning algorithms for a specific configuration of the quantron. - Simon de Montigny; Richard Labib (IJCNN, 2011)

On the Learning Potential of the Approximated Quantron. - Richard Labib; Simon de Montigny (Int. J. Neural Syst., 2012)

Model of an Excitatory Synapse Based on Stochastic Processes. - P.-Y. L'Esperance; Richard Labib (IEEE Trans. Neural Networks Learn. Syst., 2013)

Backpropagation-based inference for spatial interpolation to estimate the blastability index in an open pit mine. - Yakin Hajlaoui; Richard Labib; Jean-François Plante; Michel Gamache (Comput. Geosci., 2025)