Mathias M. Adankon

According to our database1, Mathias M. Adankon authored at least 20 papers between 2006 and 2015.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2015
Support Vector Machine.
Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

2013
Scoliosis Follow-Up Using Noninvasive Trunk Surface Acquisition.
IEEE Trans. Biomed. Engineering, 2013

2012
Non invasive classification system of scoliosis curve types using least-squares support vector machines.
Artif. Intell. Medicine, 2012

Scoliosis curve type classification using kernel machine from 3D trunk image.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Analysis of scoliosis trunk deformities using ICA.
Proceedings of the 11th International Conference on Information Science, 2012

2011
Semisupervised Learning Using Bayesian Interpretation: Application to LS-SVM.
IEEE Trans. Neural Networks, 2011

Help-Training for semi-supervised support vector machines.
Pattern Recognit., 2011

2010
Genetic algorithm-based training for semi-supervised SVM.
Neural Computing and Applications, 2010

Prediction of scoliosis curve type based on the analysis of trunk surface topography.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Semi-supervised learning for weighted LS-SVM.
Proceedings of the International Joint Conference on Neural Networks, 2010

Towards Non Invasive Diagnosis of Scoliosis Using Semi-supervised Learning Approach.
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.
Proceedings of the Ninth IAPR International Workshop on Document Analysis Systems, 2010

2009
Support Vector Machine.
Proceedings of the Encyclopedia of Biometrics, 2009

Semisupervised Least Squares Support Vector Machine.
IEEE Trans. Neural Networks, 2009

Model selection for the LS-SVM. Application to handwriting recognition.
Pattern Recognit., 2009

Help-training semi-supervised LS-SVM.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Help-training for semi-supervised discriminative classifiers. Application to SVM.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Optimizing resources in model selection for support vector machine.
Pattern Recognit., 2007

Learning Semi-supervised SVM with Genetic Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
New Formulation of SVM for Model Selection.
Proceedings of the International Joint Conference on Neural Networks, 2006


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