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2020 – today
- 2026
[j8]Houmem Slimi
, Imen Cherif, Sabeur Abid, Mounir Sayadi:
Enhanced pneumonia classification from chest X-ray images using hybrid capsule and LSTM networks with attention mechanisms and GAN integration. Prog. Artif. Intell. 15(1): 1-14 (2026)- 2025
- [j7]Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi:
Biologically inspired hybrid model for Alzheimer's disease classification using structural MRI in the ADNI dataset. Frontiers Artif. Intell. 8 (2025) - [c11]Slim Ben Hassine, Ala Balti, Sabeur Abid, Mohamed Moncef Ben Khelifa, Mounir Sayadi:
Parkinson disease classification using kinematic and SVM. ICCAD 2025: 1-5 - [c10]Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi:
Revolutionary MRI Imaging for Alzheimer's: Cutting-Edge GANs and Vision Transformer Solutions. IPAS 2025: 1-8 - [c9]Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi:
Advanced Deep Learning Strategies for Breast Cancer Image Analysis. IPAS 2025: 1-6 - 2024
- [j6]Houmem Slimi, Ala Balti, Sabeur Abid, Mounir Sayadi:
A combinatorial deep learning method for Alzheimer's disease classification-based merging pretrained networks. Frontiers Comput. Neurosci. 18 (2024) - [j5]Ala Balti, Abdelaziz Hamdi, Sabeur Abid, Mohamed Moncef Ben Khelifa, Mounir Sayadi:
Enhanced fingerprint classification through modified PCA with SVD and invariant moments. Frontiers Artif. Intell. 7 (2024)
2010 – 2019
- 2015
- [j4]Ali Rebhi, Sabeur Abid, Farhat Fnaiech:
Fabric defect localization using line variances of the local homogeneity images. Comput. Syst. Sci. Eng. 30(4) (2015) - 2014
- [j3]Jaouher Ben Ali, Sabeur Abid, Barrie William Jervis, Farhat Fnaiech, Cristin Bigan, Mircea Besleaga:
Identification of early-stage Alzheimer's disease using SFAM neural network. Neurocomputing 143: 170-181 (2014) - 2012
- [j2]Issam Ben Mhammed, Sabeur Abid, Farhat Fnaiech:
Weld defect detection using a modified anisotropic diffusion model. EURASIP J. Adv. Signal Process. 2012: 46 (2012)
2000 – 2009
- 2007
- [c8]Imen Cherif, Sabeur Abid, Farhat Fnaiech:
A Genetic Approach for Linear-Quadratic Channel Identification With Usual Communication Inputs. IJCNN 2007: 1703-1707 - 2006
- [c7]Sabeur Abid, Aymen Mouelhi, Farhat Fnaiech:
Accelerating the Multilayer Perceptron Learning with the Davidon Fletcher Powell Algorithm. IJCNN 2006: 3389-3394 - 2005
- [c6]Noureddine Ben Yahia, Sabeur Abid, Ali Zghal:
Proposal Model for Stamping Application Using Artificial Neural Networks System. ANNIIP 2005: 103-111 - [c5]Sabeur Abid, Farhat Fnaiech, Barrie W. Jervis, Mohamed Cheriet:
Fast training of multilayer perceptrons with a mixed norm algorithm. IJCNN 2005: 1018-1022 - [c4]Imen Cherif, Sabeur Abid, Farhat Fnaiech:
Blind identification of quadratic systems under i.i.d. excitation using genetic algorithms. ISSPA 2005: 463-466 - 2002
- [c3]Sabeur Abid, Farhat Fnaiech, Mohamed Najim:
A new Neural Network pruning method based on the singular value decomposition and the weight initialisation. EUSIPCO 2002: 1-4 - 2001
- [j1]Sabeur Abid, Farhat Fnaiech, Mohamed Najim:
A fast feedforward training algorithm using a modified form of the standard backpropagation algorithm. IEEE Trans. Neural Networks 12(2): 424-430 (2001) - 2000
- [c2]Sabeur Abid, Farhat Fnaiech, Mohamed Najim:
Evaluation of the feedforward neural network covariance matrix error. ICASSP 2000: 3482-3485
1990 – 1999
- 1999
- [c1]Sabeur Abid, Farhat Fnaiech, Mohamed Najim:
A new fast neural network training algorithm based on a modified standard backpropagation (MBP) criterion minimization. NSIP 1999: 733-737
Coauthor Index
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