Michael Defoin-Platel

According to our database, Michael Defoin-Platel authored at least 26 papers between 1999 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Optimizing Revenue Maximization and Demand Learning in Airline Revenue Management.

Giovanni Gatti Pinheiro, Michael Defoin-Platel, Jean-Charles Régin

CoRR, 2022

Outsmarting Human Design in Airline Revenue Management.

Giovanni Gatti Pinheiro, Michael Defoin-Platel, Jean-Charles Régin

Algorithms, 2022

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

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

Proceedings of the Workshop on Recommenders in Tourism co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

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

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

2010

On the Probabilistic Optimization of Spiking Neural Networks.

Stefan Schliebs, Nikola K. Kasabov, Michael Defoin-Platel

Int. J. Neural Syst., 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

Proceedings of the International Joint Conference on Neural Networks, 2010

Handling Missing Features with Boosting Algorithms for Protein-Protein Interaction Prediction.

Fabrizio Smeraldi, Michael Defoin-Platel, Mansoor A. S. Saqi

Proceedings of the Data Integration in the Life Sciences, 7th International Conference, 2010

2009

Quantum-Inspired Evolutionary Algorithm: A Multimodel EDA.

Michael Defoin-Platel, Stefan Schliebs, Nikola K. Kasabov

IEEE Trans. Evol. Comput., 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 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

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network.

Stefan Schliebs, Michael Defoin-Platel, Nikola K. Kasabov

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Clock-constrained tree proposal operators in Bayesian phylogenetic inference.

Sebastian Höhna, Michael Defoin-Platel, Alexei J. Drummond

Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007

Density Estimation with Genetic Programming for Inverse Problem Solving.

Michael Defoin-Platel, Sébastien Vérel, Manuel Clergue, Malik Chami

Proceedings of the Genetic Programming, 10th European Conference, 2007

A versatile quantum-inspired evolutionary algorithm.

Michael Defoin-Platel, Stefan Schliebs, Nikola K. Kasabov

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Monitoring Genetic Variations in Variable Length Evolutionary Algorithms.

Michael Defoin-Platel, Manuel Clergue

Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

2005

Teams of Genetic Predictors for Inverse Problem Solving.

Michael Defoin-Platel, Malik Chami, Manuel Clergue, Philippe Collard

Proceedings of the Genetic Programming, 8th European Conference, 2005

Size Control with Maximum Homologous Crossover.

Michael Defoin-Platel, Manuel Clergue, Philippe Collard

Proceedings of the Artificial Evolution, 2005

2004

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

Michael Defoin-Platel

PhD thesis, 2004

Evolution of Communication Between Genetic Agents.

Gilles Énée, Cathy Escazut, Michael Defoin-Platel

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Dynamical Teams of Genetic Predictors.

Michael Defoin-Platel, Manuel Clergue, Philippe Collard

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003

Maximum Homologous Crossover for Linear Genetic Programming.

Michael Defoin-Platel, Manuel Clergue, Philippe Collard

Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003

Homology gives size control in genetic programming.

Michael Defoin-Platel, Manuel Clergue, Philippe Collard

Proceedings of the IEEE Congress on Evolutionary Computation, 2003

From Royal Road to Epistatic Road for Variable Length Evolution Algorithm.

Michael Defoin-Platel, Sébastien Vérel, Manuel Clergue, Philippe Collard

Proceedings of the Artificial Evolution, 2003

1999

Synthetic Neutrality for Artificial Evolution.

Philippe Collard, Manuel Clergue, Michael Defoin-Platel

Proceedings of the Artificial Evolution, 4th European Conference, 1999