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ORCIDIbtissam Constantin
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2020 – today
- 2022
[j5]Pamela Al Alam
, Joseph Constantin, Ibtissam Constantin, Clélia Lopez:
Partitioning of Transportation Networks by Efficient Evolutionary Clustering and Density Peaks. Algorithms 15(3): 76 (2022)- 2020
- [j4]Ibtissam Constantin, Joseph Constantin, André Bigand:
On the Use of Deep Active Semi-Supervised Learning for Fast Rendering in Global Illumination. J. Imaging 6(9): 91 (2020) - [j3]Joseph Constantin, André Bigand, Ibtissam Constantin:
Pooling spike neural network for fast rendering in global illumination. Neural Comput. Appl. 32(2): 427-446 (2020) - [c6]Pamela Al Alam, Denis Hamad, Joseph Constantin, Ibtissam Constantin, Youssef Zaatar:
Dynamic Partitioning of Transportation Network Using Evolutionary Spectral Clustering. SADASC 2020: 178-186
2010 – 2019
- 2017
- [c5]Joseph Constantin, André Bigand, Ibtissam Constantin:
Pooling Spike Neural Network for Acceleration of Global Illumination Rendering. IWANN (1) 2017: 199-211 - 2016
- [c4]Joseph Constantin, Ibtissam Constantin, André Bigand, Denis Hamad:
Perception of noise in global illumination based on inductive learning. IJCNN 2016: 5021-5028 - 2015
- [j2]Joseph Constantin, André Bigand, Ibtissam Constantin, Denis Hamad:
Image noise detection in global illumination methods based on FRVM. Neurocomputing 164: 82-95 (2015) - 2013
- [c3]Ibtissam Constantin, Régis Lengellé:
Performance Analysis of Kernel Adaptive Filters based on LMS Algorithm. Complex Adaptive Systems 2013: 39-45 - [c2]Joseph Constantin, André Bigand, Ibtissam Constantin, Denis Hamad:
Image Noise Detection in Global Illumination Methods Based on Fast Relevance Vector Machine. IWANN (2) 2013: 467-479
2000 – 2009
- 2006
- [j1]Ibtissam Constantin, Cédric Richard, Régis Lengellé, Laurent Soufflet:
Nonlinear Regularized Wiener Filtering With Kernels: Application in Denoising MEG Data Corrupted by ECG. IEEE Trans. Signal Process. 54(12): 4796-4806 (2006) - 2005
- [c1]Ibtissam Constantin, Cédric Richard, Régis Lengellé, Laurent Soufflet:
Regularized kernel-based Wiener filtering. Application to magnetoencephalographic signals denoising. ICASSP (4) 2005: 289-292
Coauthor Index
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