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  Publications of Marc Sauget  

Articles in journal or book chapters
  1. Marc Sauget, Sylvain Contassot-Vivier, and Michel Salomon. Parallelization of neural network building and training: an original decomposition method. In Albert R. Baswell, editor, Advances in Mathematics Research, volume 17, pages ***--***. Nova Publishers, 2012. [bibtex]


  2. J. Farah, Julien Henriet, R. Laurent, E. Fontaine, B. Chebel-Morello, Marc Sauget, Michel Salomon, Libor Makovicka, and D. Franck. Development of a New CBR-Based Platform for Human Contamination Emergency Situations. Radiation Protection Dosimetry, 144(1-4):564--570, 2011. [bibtex]


  3. R. Laurent, Julien Henriet, Michel Salomon, Marc Sauget, R. Gschwind, and Libor Makovicka. Respiratory lung motion using an artificial neural network. Neural Computing & Applications, pp 1--6, 2011. [bibtex]


  4. Remy Laurent, Julien Henriet, Michel Salomon, Marc Sauget, France Nguyen, and Libor Makovicka. Utilisation d'un réseau de neurones artificiels pour la simulation des mouvements pulmonaires. Cancer/Radiothérapie, 15(2):123--129, 2011. [bibtex]


  5. L. Mackovicka, Aurélien Vasseur, Marc Sauget, Éric Martin, Régine Gschwind, Julien Henriet, and Michel Salomon. Avenir des nouveaux concepts des calculs dosimétriques basés sur les méthodes de Monte Carlo. Radioprotection, 44(1):77--88, 2009. [bibtex]


  6. Jacques Bahi, Sylvain Contassot-Vivier, and Marc Sauget. An incremental learning algorithm for functional approximation. Advances in Engineering Software, 40(8):725--730, 2008. [bibtex]


Conference articles
  1. Nabil Abdennadher, Mohamed Ben Belgacem, Raphaël Couturier, David Laiymani, Sébastien Miquée, Marko Niinimäki, and Marc Sauget. Gridification of a Radiotherapy Dose Computation Application with the XtremWeb-CH Environment. In GPC 2011, Grid and Pervasive Computing, volume 6646 of LNCS, Oulu, Finland, pages 188--197, May 2011. [bibtex]


  2. Marc Sauget, Julien Henriet, Michel Salomon, and Sylvain Contassot-Vivier. Large Datasets: A Mixed Method to Adapt and Improve Their Learning by Neural Networks Used in Regression Contexts. In EANN/AIAI 2011, Engineering Applications of Neural Networks, volume 363 of IFIP Advances in Information and Communication Technology, Corfu, Greece, pages 182--191, September 2011. Springer. [bibtex]


  3. Marc Sauget, Remy Laurent, Julien Henriet, Michel Salomon, Régine Gschwind, Sylvain Contassot-Vivier, Libor Makovicka, and Charles Soussen. Efficient domain decomposition for a neural network learning algorithm. In ICANN 2010, Int. Conf. on Artificial Neural Networks, volume 6352 of LNCS, Thessaloniki, Greece, pages 261--266, September 2010. Springer. [bibtex]


  4. Jacques Bahi, Sylvain Contassot-Vivier, Marc Sauget, and Aurélien Vasseur. A parallel incremental learning algorithm for neural networks with fault tolerance. In VECPAR'08, 8-th int. meeting on High Performance Computing for Computational Science, volume 5336 of LNCS, Toulouse, France, pages 502--515, June 2008. [bibtex]


  5. Aurélien Vasseur, E. Marin, Libor Makovicka, Marc Sauget, Sylvain Contassot-Vivier, and Jacques Bahi. Utilisation d'un code de calcul dosimétrique basé sur les Réseaux de Neurones Artificiels et la méthode de Monte-Carlo. In 1er Forum CGE, Vittel, France, October 2007. [bibtex]


  6. Jacques Bahi, Sylvain Contassot-Vivier, Libor Makovicka, Éric Martin, and Marc Sauget. Neural Network Based Algorithm for Radiation Dose Evaluation in Heterogeneous Environments. In ICANN 2006, Int. Conf. on Artificial Neural Networks, volume 4132 of LNCS, Athens, Greece, pages 777--787, September 2006. Springer. [bibtex]


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Wed May 16 18:07:19 2012 Authors: Arnaud Lanoix, Pierre-Alain Masson and Jean-Marc Nicod
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