A display oriented technique for interactive pattern recognition by multilayer neural network. - Mohamed Daoudi; Denis Hamad; Jack-Gérard Postaire (ICNN, 1993)

Artificial Neural Networks for Nonlinear Projection and Exploratory Data Analysis. - Denis Hamad; Mohamed Betrouni (ICANNGA, 1995)

Bernoulli Mixture Model of Experts for Supervised Pattern Classification. - Noureddine Elhor; Régis Bertrand; Denis Hamad (ICANNGA, 1997)

Gaussian Neural Networks for Glass Bottles Inspection: A Learning Procedure. - C. Firmin; Denis Hamad; Jack-Gérard Postaire; R. D. Zhang (Int. J. Neural Syst., 1997)

Supervision of Wind Energy Converters by an Autoassociator Neural Network. - Régis Bertrand; Noureddine Elhor; Denis Hamad; Jack-Gérard Postaire (NC, 1998)

Neural Networks Inspection System for Glass Bottles Production: A Comparative Study. - Denis Hamad; Mohamed Betrouni; Philippe Biela; Jack-Gérard Postaire (Int. J. Pattern Recognit. Artif. Intell., 1998)

Four wheel steering control by fuzzy approach. - Ahmed El Hajjaji; Adrian Ciocan; Denis Hamad (J. Intell. Robotic Syst., 2005)

Control of a robot manipulator and pendubot system using artificial neural networks. - Joseph Constantin; Chaiban Nasr; Denis Hamad (Robotica, 2005)

Robust Regression and Outlier Detection with SVR: Application to Optic Flow Estimation. - Johan Colliez; Franck Dufrenois; Denis Hamad (BMVC, 2006)

K-means Clustering Algorithm in Projected Spaces. - Alissar Nasser; Denis Hamad (FUSION, 2006)

Kernel PCA as a Visualization Tools for Clusters Identifications. - Alissar Nasser; Denis Hamad; Chaiban Nasr (ICANN (2), 2006)

Optic flow estimation by support vector regression. - Johan Colliez; Franck Dufrenois; Denis Hamad (Eng. Appl. Artif. Intell., 2006)

Crisp Weighted Support Vector Regression for robust single model estimation : application to object tracking in image sequences. - Franck Dufrenois; Johan Colliez; Denis Hamad (CVPR, 2007)

Clustering Evaluation in Feature Space. - Alissar Nasser; Pierre-Alexandre Hébert; Denis Hamad (ICANN (2), 2007)

Weighted Support Vector Regression for robust single model estimation : application to motion segmentation in image sequences. - Franck Dufrenois; Johan Colliez; Denis Hamad (IJCNN, 2007)

Fuzzy weighted support vector regression for multiple linear model estimation : application to object tracking in image sequences. - Franck Dufrenois; Denis Hamad (IJCNN, 2007)

Bounded Influence Support Vector Regression for Robust Single-Model Estimation. - Franck Dufrenois; Johan Colliez; Denis Hamad (IEEE Trans. Neural Networks, 2009)

Semi-supervised Evaluation of Constraint Scores for Feature Selection. - Mariam Kalakech; Philippe Biela; Denis Hamad; Ludovic Macaire (IJCCI (NCTA), 2011)

Semi-supervised K-way Spectral Clustering using Pairwise Constraints. - Guillaume Wacquet; Pierre-Alexandre Hébert; Émilie Caillault Poisson; Denis Hamad (IJCCI (NCTA), 2011)

Constraint scores for semi-supervised feature selection: A comparative study. - Mariam Kalakech; Philippe Biela; Ludovic Macaire; Denis Hamad (Pattern Recognit. Lett., 2011)

LBP histogram selection for supervised color texture classification. - Alice Porebski; Nicolas Vandenbroucke; Denis Hamad (ICIP, 2013)

Monitoring system of phytoplankton blooms by using unsupervised classifier and time modeling. - Kevin Rousseeuw; Émilie Caillault Poisson; Alain Lefebvre; Denis Hamad (IGARSS, 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)

Constraint Score Evaluation for Spectral Feature Selection. - Mariam Kalakech; Philippe Biela; Denis Hamad; Ludovic Macaire (Neural Process. Lett., 2013)

Constrained spectral embedding for K-way data clustering. - Guillaume Wacquet; Émilie Caillault Poisson; Denis Hamad; Pierre-Alexandre Hébert (Pattern Recognit. Lett., 2013)

Texture analysis of lace images using histogram and local binary patterns under rotation variation. - Wael Ben Soltana; Alice Porebski; Nicolas Vandenbroucke; Adeel Ahmad 001; Denis Hamad (IPAS, 2014)

Spectral clustering applied for dynamic contrast-enhanced MR analysis of time-intensity curves. - Guillaume Tartare; Denis Hamad; Mustapha Azahaf; Philippe A. Puech; Nacim Betrouni (Comput. Medical Imaging Graph., 2014)

A new benchmark image test suite for evaluating colour texture classification schemes. - Alice Porebski; Nicolas Vandenbroucke; Ludovic Macaire; Denis Hamad (Multim. Tools Appl., 2014)

Detection and visualisation of outliers using kernel principal components. - Alissar Nasser; Denis Hamad (DICTAP, 2015)

A new LBP histogram selection score for color texture classification. - Mariam Kalakech; Alice Porebski; Nicolas Vandenbroucke; Denis Hamad (IPTA, 2015)

A fast embedded selection approach for color texture classification using degraded LBP. - Alice Porebski; Nicolas Vandenbroucke; Denis Hamad (IPTA, 2015)

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

Hybrid Hidden Markov Model for Marine Environment Monitoring. - Kevin Rousseeuw; Émilie Caillault Poisson; Alain Lefebvre; Denis Hamad (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Selection of world development indicators for countries classification. - Mariam Kalakech; Ali Kalakech 002; Denis Hamad (ICDEc, 2016)

Automatic clustering for MRI images, application on perfusion MRI of brain. - P. Chuzel; A. Mansour; Julien Ognard; Jean-Christophe Gentric; Luc Bressollette; Denis Hamad; Nacim Betrouni (ICFSP, 2016)

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

LBP parameter tuning for texture analysis of lace images. - Vinh Truong Hoang; Alice Porebski; Nicolas Vandenbroucke; Denis Hamad (IPAS, 2016)

LBP Histogram Selection based on Sparse Representation for Color Texture Classification. - Vinh Truong Hoang; Alice Porebski; Nicolas Vandenbroucke; Denis Hamad (VISIGRAPP (4: VISAPP), 2017)

A Comparative Study Between Lebanon and Middle East Countries Based on Data Mining Techniques. - Souha El Katat; Ali Kalakech 002; Mariam Kalakech; Denis Hamad (ACIT, 2018)

Feature selection approach based on hypothesis-margin and pairwise constraints. - Samah Hijazi; Mariam Kalakech; Denis Hamad; Ali Kalakech 002 (MENACOMM, 2018)

Multi-color space local binary pattern-based feature selection for texture classification (Erratum). - Alice Porebski; Vinh Truong Hoang; Nicolas Vandenbroucke; Denis Hamad (J. Electronic Imaging, 2018)

Unsupervised Local Binary Pattern Histogram Selection Scores for Color Texture Classification. - Mariam Kalakech; Alice Porebski; Nicolas Vandenbroucke; Denis Hamad (J. Imaging, 2018)

Sparse and online null proximal discriminant analysis for one class learning in large-scale datasets. - Franck Dufrenois; Denis Hamad (IJCNN, 2019)

Compact Color Texture Representation by Feature Selection in Multiple Color Spaces. - Mohamed Alimoussa; Nicolas Vandenbroucke; Alice Porebski; Rachid Oulad Haj Thami; Sanaa El Fkihi; Denis Hamad (VISIGRAPP (4: VISAPP), 2019)

Financial development indicators: a comparative study between lebanon and middle east countries based on data mining techniques. - Souha El Katat; Ali Kalakech 002; Mariam Kalakech; Denis Hamad (Int. Arab J. Inf. Technol., 2019)

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

Combination of LBP Bin and Histogram Selections for Color Texture Classification. - Alice Porebski; Vinh Truong Hoang; Nicolas Vandenbroucke; Denis Hamad (J. Imaging, 2020)

Active learning of constraints for weighted feature selection. - Samah Hijazi; Denis Hamad; Mariam Kalakech; Ali Kalakech 002 (Adv. Data Anal. Classif., 2021)

Multi-label, multi-task CNN approach for context-based emotion recognition. - Ilyes Bendjoudi; Frédéric Vanderhaegen; Denis Hamad; Fadi Dornaika (Inf. Fusion, 2021)

Graph Convolution Networks for Unsupervised Learning. - Maria Al Jreidy; Joseph Constantin; Fadi Dornaika; Denis Hamad (SADASC, 2022)

Collaborative Kernel Discriminant Analysis for Large Scale Multi Class Problems. - Amine Khatib; Franck Dufrenois; Mohamed Hamlich; Denis Hamad (SADASC, 2022)

Adaptive Unsupervised Graph Convolution Network for Data Clustering with Graph Reconstruction. - Maria Al Jreidy; Joseph Constantin; Fadi Dornaika; Denis Hamad (Cogn. Comput., 2025)