Regularized kernel-based Wiener filtering. Application to magnetoencephalographic signals denoising. - Ibtissam Constantin; Cédric Richard; Régis Lengellé; Laurent Soufflet (ICASSP (4), 2005)

Nonlinear Regularized Wiener Filtering With Kernels: Application in Denoising MEG Data Corrupted by ECG. - Ibtissam Constantin; Cédric Richard; Régis Lengellé; Laurent Soufflet (IEEE Trans. Signal Process., 2006)

Performance Analysis of Kernel Adaptive Filters based on LMS Algorithm. - Ibtissam Constantin; Régis Lengellé (Complex Adaptive Systems, 2013)

Image Noise Detection in Global Illumination Methods Based on Fast Relevance Vector Machine. - Joseph Constantin; André Bigand; Ibtissam Constantin; Denis Hamad (IWANN (2), 2013)

Image noise detection in global illumination methods based on FRVM. - Joseph Constantin; André Bigand; Ibtissam Constantin; Denis Hamad (Neurocomputing, 2015)

Perception of noise in global illumination based on inductive learning. - Joseph Constantin; Ibtissam Constantin; André Bigand; Denis Hamad (IJCNN, 2016)

Pooling Spike Neural Network for Acceleration of Global Illumination Rendering. - Joseph Constantin; André Bigand; Ibtissam Constantin (IWANN (1), 2017)

Dynamic Partitioning of Transportation Network Using Evolutionary Spectral Clustering. - Pamela Al Alam; Denis Hamad; Joseph Constantin; Ibtissam Constantin; Youssef Zaatar (SADASC, 2020)

On the Use of Deep Active Semi-Supervised Learning for Fast Rendering in Global Illumination. - Ibtissam Constantin; Joseph Constantin; André Bigand (J. Imaging, 2020)

Pooling spike neural network for fast rendering in global illumination. - Joseph Constantin; André Bigand; Ibtissam Constantin (Neural Comput. Appl., 2020)

Partitioning of Transportation Networks by Efficient Evolutionary Clustering and Density Peaks. - Pamela Al Alam; Joseph Constantin; Ibtissam Constantin; Clélia Lopez (Algorithms, 2022)