Mathias M. Adankon

发表

Mohamed Cheriet, Mathias M. Adankon, 2009, Encyclopedia of Biometrics.

Analysis of scoliosis trunk deformities using ICA

Farida Cheriet, Jean Dansereau, Hubert Labelle, 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).

Semisupervised Least Squares Support Vector Machine

Alain Biem, Mohamed Cheriet, Mathias M. Adankon, 2009, IEEE Transactions on Neural Networks.

Optimizing resources in model selection for support vector machines

Mohamed Cheriet, Mathias M. Adankon, M. M. Adankon, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Model selection for the LS-SVM. Application to handwriting recognition

Mohamed Cheriet, Mathias M. Adankon, M. M. Adankon, 2009, Pattern Recognit..

Semisupervised Least Squares Support

Alain Biem, Mohamed Cheriet, Mathias M. Adankon, 2009 .

Support Vector Machine

Mohamed Cheriet, Mathias M. Adankon, 2009, Encyclopedia of Biometrics.

Help-training for semi-supervised discriminative classifiers. Application to SVM

Mohamed Cheriet, Mathias M. Adankon, M. M. Adankon, 2008, 2008 19th International Conference on Pattern Recognition.

New Formulation of SVM for Model Selection

Mohamed Cheriet, Mathias M. Adankon, M. M. Adankon, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Optimizing Resources inModelSelection for Support Vector Machines

Mathias M. Adankon, 2005 .

Scoliosis curve type classification using kernel machine from 3D trunk image

Farida Cheriet, Jean Dansereau, Hubert Labelle, 2012, Medical Imaging.

Learning Semi-supervised SVM with Genetic Algorithm

Mohamed Cheriet, Mathias M. Adankon, M. M. Adankon, 2007, 2007 International Joint Conference on Neural Networks.

Genetic algorithm–based training for semi-supervised SVM

Mohamed Cheriet, Mathias M. Adankon, M. M. Adankon, 2010, Neural Computing and Applications.

IBN SINA: a database for research on processing and understanding of Arabic manuscripts images

Mohamed Cheriet, Reza Farrahi Moghaddam, Mathias M. Adankon, 2010, DAS '10.

Help-training semi-supervised LS-SVM

Mohamed Cheriet, Mathias M. Adankon, M. M. Adankon, 2009, 2009 International Joint Conference on Neural Networks.

Help-Training for semi-supervised support vector machines

Mohamed Cheriet, Mathias M. Adankon, M. M. Adankon, 2011, Pattern Recognit..

Non invasive classification system of scoliosis curve types using least-squares support vector machines

Farida Cheriet, Jean Dansereau, Hubert Labelle, 2012, Artif. Intell. Medicine.

Skin Detection -a Short Tutorial

Rama Chellappa, Arun Ross, Mohamed Cheriet, 2010 .

Towards Non Invasive Diagnosis of Scoliosis Using Semi-supervised Learning Approach

Farida Cheriet, Lama Seoud, Jean Dansereau, 2010, ICIAR.

Scoliosis Follow-Up Using Noninvasive Trunk Surface Acquisition

Farida Cheriet, Jean Dansereau, Hubert Labelle, 2013, IEEE Transactions on Biomedical Engineering.

Optimizing resources in model selection for support vector machines

Mathias M. Adankon, M. Cheriel, N. F. Ayat, 2005 .

Prediction of scoliosis curve type based on the analysis of trunk surface topography

Farida Cheriet, Lama Seoud, Jean Dansereau, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Semisupervised Learning Using Bayesian Interpretation: Application to LS-SVM

Alain Biem, Mohamed Cheriet, Mathias M. Adankon, 2011, IEEE Transactions on Neural Networks.

Semi-supervised learning for weighted LS-SVM

Mohamed Cheriet, Mathias M. Adankon, M. M. Adankon, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).