• Status: PhD Student, ETS, University of Quebec, Canada.
• Main research interests: Machine Learning, Pattern Recognition.
• Hobbies: Soccer.

Publications:

Referreed Journal Publications

• Mathias M. Adankon, Mohamed Cheriet and Alain Biem (2009), "Semi-Supervised Least Squares Support Vector Machine",   to appear in IEEE Transactions on Neural Networks.
• Mathias M. Adankon, Mohamed Cheriet (2009), "Model Selection for LS-SVM: Application to Handwriting Recognition" , Pattern Recognition Journal, 42(12):32643270.
• Mathias M. Adankon, Mohamed Cheriet (2007), "Optimizing Resources in Model Selection for Support Vector Machines" , Pattern Recognition Journal, 40(3):953-963.

Articles in Refereed Conference Proceedings

• Mathias M. Adankon, Mohamed Cheriet, "Help-Training semi-supervised LS- SVM",    to appear in Proceedings 2009 IEEE International Joint Conference on Neural Networks, Atlanta, GA, USA, 12-19 Juin 2009.
• Mathias M. Adankon, Mohamed Cheriet, "Help-Training for semi-supervised discrimininative classifier. Application to SVM",    19th Internatioonale Conference on Pattern Recognition, Tampa, 2008.

• Mathias M. Adankon, Mohamed Cheriet, "Model Selection for LS-SVM : Application to Handwriting Recognition", International Conference on Frontiers in Handwriting Recognition Montreal, Canada, August 18-21 2008.
• Mathias M. Adankon, Mohamed Cheriet, "Optimizing Resources in Model Selection for Support Vector Machines" , Pattern Recognition Journal, 40(3):953-963, 2007.
• Mathias M. Adankon, Mohamed Cheriet, "Learning Semi-supervised SVM with Genetic Algorithm", 2007 IEEE International Joint Conference on Neural Networks, pp. 1825-1830, Orlando, FL, 12-17 August.
• Mathias M. Adankon, Mohamed Cheriet, "New Formulation of SVM for Model Selection", 2006 IEEE International Joint Conference on Neural Networks, Vancouver, BC, Canada, July 16-21 2006.
• Mathias M. Adankon, Mohamed Cheriet, Nedjem E. Ayat, "Optimizing Resources in Model Selection for Support Vector Machines", 2005 IEEE International Joint Conference on Neural Networks, vol.2, pp.925-930, Montreal, QC, Canada, July 31 -August 4 2005.
• Mathias M. Adankon, Mohamed Cheriet, Nedjem E. Ayat. "Optimisation de ressources dans la Sélection de modèle des Machines à Vecteurs de Support", Comptes rendues des 12èmes rencontres de la Société Francophone de la Classification, pp. 35-38, Montréal, QC, Canada, 2005.

 Technical Reports

• Adankon, M.M. et Cheriet, M. "Help-Training for semi-supervised discriminative classifiers: Application to SVM", Technical Report, 2008.
• Adankon, M.M. et Cheriet, M. "Learning Transductive LS-SVM", Technical Report, 2007.
• Mathias Adankon, "Optimisation des hyperparamètres pour les LS-SVM", Rapport Technique, 18 pages, École de technologie Supérieure, Automne 2005.
• Mathias Adankon, "RVM et le traitement bayésien", Rapport Technique, 20 pages, École de technologie Supérieure, Automne 2005.
• Mathias Adankon, "Méthode hybride pour la détection de visages", Rapport Technique, 31 pages, École de technologie Supérieure, Hiver 2004.
• Mathias Adankon, "Étude comparative entre le MLP et le SVM sur la base MNIST", Rapport Technique, 32 pages, École de technologie Supérieure, Hiver 2004.
• Mathias Adankon, "Kernel methods and Feature Vectors Selection", Rapport Technique, 30 pages, École de technologie Supérieure, Automne 2003.