1 code implementation • 28 Feb 2023 • Kévin Cortacero, Brienne McKenzie, Sabina Müller, Roxana Khazen, Fanny Lafouresse, Gaëlle Corsaut, Nathalie Van Acker, François-Xavier Frenois, Laurence Lamant, Nicolas Meyer, Béatrice Vergier, Dennis G. Wilson, Hervé Luga, Oskar Staufer, Michael L. Dustin, Salvatore Valitutti, Sylvain Cussat-Blanc
An unresolved issue in contemporary biomedicine is the overwhelming number and diversity of complex images that require annotation, analysis and interpretation.
no code implementations • 21 Dec 2020 • Ismat Ara Reshma, Sylvain Cussat-Blanc, Radu Tudor Ionescu, Hervé Luga, Josiane Mothe
The class distribution of data is one of the factors that regulates the performance of machine learning models.
no code implementations • 5 Dec 2018 • Dennis G Wilson, Sylvain Cussat-Blanc, Hervé Luga, Kyle Harrington
In the brain, learning signals change over time and synaptic location, and are applied based on the learning history at the synapse, in the complex process of neuromodulation.
no code implementations • 9 Oct 2018 • DG Wilson, Julian F. Miller, Sylvain Cussat-Blanc, Hervé Luga
In this work, we present a new form of genetic programming based on a floating point representation.
no code implementations • 16 Jul 2018 • Dennis G Wilson, Kyle Harrington, Sylvain Cussat-Blanc, Hervé Luga
Over the past twenty years, artificial Gene Regulatory Networks (GRNs) have shown their capacity to solve real-world problems in various domains such as agent control, signal processing and artificial life experiments.
2 code implementations • 14 Jun 2018 • Dennis G Wilson, Sylvain Cussat-Blanc, Hervé Luga, Julian F. Miller
Cartesian Genetic Programming (CGP) has previously shown capabilities in image processing tasks by evolving programs with a function set specialized for computer vision.
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