Mathias M. Adankon

According to our database, Mathias M. Adankon authored at least 20 papers between 2006 and 2015.

Collaborative distances:

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

2015

Support Vector Machine.

Mathias M. Adankon, Mohamed Cheriet

Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

2013

Scoliosis Follow-Up Using Noninvasive Trunk Surface Acquisition.

Mathias M. Adankon, Najat Chihab, Jean Dansereau, Hubert Labelle, Farida Cheriet

IEEE Trans. Biomed. Eng., 2013

2012

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

Mathias M. Adankon, Jean Dansereau, Hubert Labelle, Farida Cheriet

Artif. Intell. Medicine, 2012

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

Mathias M. Adankon, Jean Dansereau, Stefan Parent, Hubert Labelle, Farida Cheriet

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Analysis of scoliosis trunk deformities using ICA.

Mathias M. Adankon, Jean Dansereau, Hubert Labelle, Farida Cheriet

Proceedings of the 11th International Conference on Information Science, 2012

2011

Semisupervised Learning Using Bayesian Interpretation: Application to LS-SVM.

Mathias M. Adankon, Mohamed Cheriet, Alain Biem

IEEE Trans. Neural Networks, 2011

Help-Training for semi-supervised support vector machines.

Mathias M. Adankon, Mohamed Cheriet

Pattern Recognit., 2011

2010

Genetic algorithm-based training for semi-supervised SVM.

Mathias M. Adankon, Mohamed Cheriet

Neural Comput. Appl., 2010

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

Lama Seoud, Mathias M. Adankon, Hubert Labelle, Jean Dansereau, Farida Cheriet

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Semi-supervised learning for weighted LS-SVM.

Mathias M. Adankon, Mohamed Cheriet

Proceedings of the International Joint Conference on Neural Networks, 2010

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

Lama Seoud, Mathias M. Adankon, Hubert Labelle, Jean Dansereau, Farida Cheriet

Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010

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

Reza Farrahi Moghaddam, Mohamed Cheriet, Mathias M. Adankon, Kostyantyn Filonenko, Robert Wisnovsky

Proceedings of the Ninth IAPR International Workshop on Document Analysis Systems, 2010

2009

Support Vector Machine.

Mathias M. Adankon, Mohamed Cheriet

Proceedings of the Encyclopedia of Biometrics, 2009

Semisupervised Least Squares Support Vector Machine.

Mathias M. Adankon, Mohamed Cheriet, Alain Biem

IEEE Trans. Neural Networks, 2009

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

Mathias M. Adankon, Mohamed Cheriet

Pattern Recognit., 2009

Help-training semi-supervised LS-SVM.

Mathias M. Adankon, Mohamed Cheriet

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

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

Mathias M. Adankon, Mohamed Cheriet

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

Optimizing resources in model selection for support vector machine.

Mathias M. Adankon, Mohamed Cheriet

Pattern Recognit., 2007

Learning Semi-supervised SVM with Genetic Algorithm.

Mathias M. Adankon, Mohamed Cheriet

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

New Formulation of SVM for Model Selection.

Mathias M. Adankon, Mohamed Cheriet

Proceedings of the International Joint Conference on Neural Networks, 2006