Synthetic Neutrality for Artificial Evolution. - Philippe Collard; Manuel Clergue; Michael Defoin-Platel (Artificial Evolution, 1999)

From Royal Road to Epistatic Road for Variable Length Evolution Algorithm. - Michael Defoin-Platel; Sébastien Vérel; Manuel Clergue; Philippe Collard (Artificial Evolution, 2003)

Homology gives size control in genetic programming. - Michael Defoin-Platel; Manuel Clergue; Philippe Collard (IEEE Congress on Evolutionary Computation, 2003)

Maximum Homologous Crossover for Linear Genetic Programming. - Michael Defoin-Platel; Manuel Clergue; Philippe Collard (EuroGP, 2003)

Dynamical Teams of Genetic Predictors. - Michael Defoin-Platel; Manuel Clergue; Philippe Collard (ECAI, 2004)

Evolution of Communication Between Genetic Agents. - Gilles Énée; Cathy Escazut; Michael Defoin-Platel (ECAI, 2004)

Homologie en Programmation GénétiqueApplication à la résolution d'un problème inverse. (Homology in Genetic ProgrammingApplication to inverse problem solving). - Michael Defoin-Platel (2004)

Size Control with Maximum Homologous Crossover. - Michael Defoin-Platel; Manuel Clergue; Philippe Collard (Artificial Evolution, 2005)

Teams of Genetic Predictors for Inverse Problem Solving. - Michael Defoin-Platel; Malik Chami; Manuel Clergue; Philippe Collard (EuroGP, 2005)

Monitoring Genetic Variations in Variable Length Evolutionary Algorithms. - Michael Defoin-Platel; Manuel Clergue (HIS, 2006)

A versatile quantum-inspired evolutionary algorithm. - Michael Defoin-Platel; Stefan Schliebs; Nikola K. Kasabov (IEEE Congress on Evolutionary Computation, 2007)

Density Estimation with Genetic Programming for Inverse Problem Solving. - Michael Defoin-Platel; Sébastien Vérel; Manuel Clergue; Malik Chami (EuroGP, 2007)

Clock-constrained tree proposal operators in Bayesian phylogenetic inference. - Sebastian Höhna; Michael Defoin-Platel; Alexei J. Drummond (BIBE, 2008)

Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network. - Stefan Schliebs; Michael Defoin-Platel; Nikola K. Kasabov (ICONIP (1), 2008)

Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling. - Stefan Schliebs; Michael Defoin-Platel; Susan P. Worner; Nikola K. Kasabov (IJCNN, 2009)

Integrated feature and parameter optimization for an evolving spiking neural network: Exploring heterogeneous probabilistic models. - Stefan Schliebs; Michael Defoin-Platel; Susan P. Worner; Nikola K. Kasabov (Neural Networks, 2009)

Quantum-Inspired Evolutionary Algorithm: A Multimodel EDA. - Michael Defoin-Platel; Stefan Schliebs; Nikola K. Kasabov (IEEE Trans. Evol. Comput., 2009)

Handling Missing Features with Boosting Algorithms for Protein-Protein Interaction Prediction. - Fabrizio Smeraldi; Michael Defoin-Platel; Mansoor A. S. Saqi (DILS, 2010)

Analyzing the dynamics of the simultaneous feature and parameter optimization of an evolving Spiking Neural Network. - Stefan Schliebs; Michael Defoin-Platel; Nikola K. Kasabov (IJCNN, 2010)

On the Probabilistic Optimization of Spiking Neural Networks. - Stefan Schliebs; Nikola K. Kasabov; Michael Defoin-Platel (Int. J. Neural Syst., 2010)

AIGO: Towards a unified framework for the Analysis and the Inter-comparison of GO functional annotations. - Michael Defoin-Platel; Matthew Morritt Hindle; Artem Lysenko; Stephen J. Powers; Dimah Z. Habash; Christopher J. Rawlings; Mansoor A. S. Saqi (BMC Bioinform., 2011)

Assessing the functional coherence of modules found in multiple-evidence networks from Arabidopsis. - Artem Lysenko; Michael Defoin-Platel; Keywan Hassani-Pak; Jan Taubert; Charlie Hodgman; Christopher J. Rawlings; Mansoor A. S. Saqi (BMC Bioinform., 2011)

Predicting Your Next Trip: A Knowledge Graph-Based Multi-task Learning Approach for Travel Destination Recommendation. - Amine Dadoun; Raphaël Troncy; Michael Defoin-Platel; Gerardo Ayala Solano (RecTour@RecSys, 2021)

Optimizing Email Marketing Campaigns in the Airline Industry using Knowledge Graph Embeddings. - Amine Dadoun; Raphaël Troncy; Michael Defoin-Platel; Riccardo Petitti; Gerardo Ayala Solano (IEEE Data Eng. Bull., 2021)

Outsmarting Human Design in Airline Revenue Management. - Giovanni Gatti Pinheiro; Michael Defoin-Platel; Jean-Charles Régin (Algorithms, 2022)

Optimizing Revenue Maximization and Demand Learning in Airline Revenue Management. - Giovanni Gatti Pinheiro; Michael Defoin-Platel; Jean-Charles Régin (CoRR, 2022)