Ibtissam Constantin

According to our database, Ibtissam Constantin authored at least 11 papers between 2005 and 2022.

Collaborative distances:

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

2022

Partitioning of Transportation Networks by Efficient Evolutionary Clustering and Density Peaks.

Pamela Al Alam, Joseph Constantin, Ibtissam Constantin, Clélia Lopez

Algorithms, 2022

2020

Pooling spike neural network for fast rendering in global illumination.

Joseph Constantin, André Bigand, Ibtissam Constantin

Neural Comput. Appl., 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

Dynamic Partitioning of Transportation Network Using Evolutionary Spectral Clustering.

Pamela Al Alam, Denis Hamad, Joseph Constantin, Ibtissam Constantin, Youssef Zaatar

Proceedings of the Smart Applications and Data Analysis - Third International Conference, 2020

2017

Pooling Spike Neural Network for Acceleration of Global Illumination Rendering.

Joseph Constantin, André Bigand, Ibtissam Constantin

Proceedings of the Advances in Computational Intelligence, 2017

2016

Perception of noise in global illumination based on inductive learning.

Joseph Constantin, Ibtissam Constantin, André Bigand, Denis Hamad

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Image noise detection in global illumination methods based on FRVM.

Joseph Constantin, André Bigand, Ibtissam Constantin, Denis Hamad

Neurocomputing, 2015

2013

Image Noise Detection in Global Illumination Methods Based on Fast Relevance Vector Machine.

Joseph Constantin, André Bigand, Ibtissam Constantin, Denis Hamad

Proceedings of the Advances in Computational Intelligence, 2013

Performance Analysis of Kernel Adaptive Filters based on LMS Algorithm.

Ibtissam Constantin, Régis Lengellé

Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

2006

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

2005

Regularized kernel-based Wiener filtering. Application to magnetoencephalographic signals denoising.

Ibtissam Constantin, Cédric Richard, Régis Lengellé, Laurent Soufflet

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005