Mathias M. Adankon

Publication Activity (10 Years)

Years Active: 2006-2013
Publications (10 Years): 0

Top Topics

Curved Surfaces

Top Venues

Artif. Intell. Medicine

Medical Imaging: Computer-Aided Diagnosis

IEEE Trans. Biomed. Eng.

Publications

Mathias M. Adankon, Najat Chihab, Jean Dansereau, Hubert Labelle, Farida Cheriet
Scoliosis Follow-Up Using Noninvasive Trunk Surface Acquisition. IEEE Trans. Biomed. Eng. 60 (8) (2013)
Mathias M. Adankon, Jean Dansereau, Stefan Parent, Hubert Labelle, Farida Cheriet
Scoliosis curve type classification using kernel machine from 3D trunk image. Medical Imaging: Computer-Aided Diagnosis (2012)
Mathias M. Adankon, Jean Dansereau, Hubert Labelle, Farida Cheriet
Non invasive classification system of scoliosis curve types using least-squares support vector machines. Artif. Intell. Medicine 56 (2) (2012)
Mathias M. Adankon, Jean Dansereau, Hubert Labelle, Farida Cheriet
Analysis of scoliosis trunk deformities using ICA. ISSPA (2012)
Mathias M. Adankon, Mohamed Cheriet
Help-Training for semi-supervised support vector machines. Pattern Recognit. 44 (9) (2011)
Mathias M. Adankon, Mohamed Cheriet, Alain Biem
Semisupervised Learning Using Bayesian Interpretation: Application to LS-SVM. IEEE Trans. Neural Networks 22 (4) (2011)
Mathias M. Adankon, Mohamed Cheriet
Genetic algorithm-based training for semi-supervised SVM. Neural Comput. Appl. 19 (8) (2010)
Reza Farrahi Moghaddam, Mohamed Cheriet, Mathias M. Adankon, Kostyantyn Filonenko, Robert Wisnovsky
IBN SINA: a database for research on processing and understanding of Arabic manuscripts images. Document Analysis Systems (2010)
Lama Seoud, Mathias M. Adankon, Hubert Labelle, Jean Dansereau, Farida Cheriet
Prediction of scoliosis curve type based on the analysis of trunk surface topography. ISBI (2010)
Lama Seoud, Mathias M. Adankon, Hubert Labelle, Jean Dansereau, Farida Cheriet
Towards Non Invasive Diagnosis of Scoliosis Using Semi-supervised Learning Approach. ICIAR (2) (2010)
Mathias M. Adankon, Mohamed Cheriet
Semi-supervised learning for weighted LS-SVM. IJCNN (2010)
Mathias M. Adankon, Mohamed Cheriet
Model selection for the LS-SVM. Application to handwriting recognition. Pattern Recognit. 42 (12) (2009)
Mathias M. Adankon, Mohamed Cheriet
Help-training semi-supervised LS-SVM. IJCNN (2009)
Mathias M. Adankon, Mohamed Cheriet, Alain Biem
Semisupervised Least Squares Support Vector Machine. IEEE Trans. Neural Networks 20 (12) (2009)
Mathias M. Adankon, Mohamed Cheriet
Help-training for semi-supervised discriminative classifiers. Application to SVM. ICPR (2008)
Mathias M. Adankon, Mohamed Cheriet
Optimizing resources in model selection for support vector machine. Pattern Recognit. 40 (3) (2007)
Mathias M. Adankon, Mohamed Cheriet
Learning Semi-supervised SVM with Genetic Algorithm. IJCNN (2007)
Mathias M. Adankon, Mohamed Cheriet
New Formulation of SVM for Model Selection. IJCNN (2006)