Non-negative pre-image in machine learning for pattern recognition. - Maya Kallas; Paul Honeine; Cédric Richard; Clovis Francis; Hassan Amoud (EUSIPCO, 2011)

A comparative study of pre-image techniques: The kernel autoregressive case. - Maya Kallas; Paul Honeine; Clovis Francis; Hassan Amoud (SiPS, 2011)

PCA and KPCA of ECG signals with binary SVM classification. - Lara Kanaan; Dalia Merheb; Maya Kallas; Clovis Francis; Hassan Amoud; Paul Honeine (SiPS, 2011)

Prediction of time series using Yule-Walker equations with kernels. - Maya Kallas; Paul Honeine; Cédric Richard; Clovis Francis; Hassan Amoud (ICASSP, 2012)

Modeling electrocardiogram using Yule-Walker equations and kernel machines. - Maya Kallas; Clovis Francis; Paul Honeine; Hassan Amoud; Cédric Richard (ICT, 2012)

Multi-class SVM classification combined with kernel PCA feature extraction of ECG signals. - Maya Kallas; Clovis Francis; Lara Kanaan; Dalia Merheb; Paul Honeine; Hassan Amoud (ICT, 2012)

Non-negativity constraints on the pre-image for pattern recognition with kernel machines. - Maya Kallas; Paul Honeine; Cédric Richard; Clovis Francis; Hassan Amoud (Pattern Recognit., 2013)

Kernel autoregressive models using Yule-Walker equations. - Maya Kallas; Paul Honeine; Clovis Francis; Hassan Amoud (Signal Process., 2013)

Kernel nonnegative matrix factorization without the pre-image problem. - Fei Zhu 001; Paul Honeine; Maya Kallas (MLSP, 2014)

Kernel nonnegative matrix factorization without the curse of the pre-image. - Fei Zhu 001; Paul Honeine; Maya Kallas (CoRR, 2014)

Fault estimation of nonlinear processes using kernel principal component analysis. - Maya Kallas; Gilles Mourot; Didier Maquin; José Ragot (ECC, 2015)

Sparse Reconstruction-Based Contribution for Multiple Fault Isolation by KPCA. - Gilles Mourot; Maya Kallas; Kwami Anani; Didier Maquin (MED, 2018)

A data driven fault isolation method based on reference faulty situations with application to a nonlinear chemical process. - José Ragot; Gilles Mourot; Maya Kallas (Int. J. Appl. Math. Comput. Sci., 2022)