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ORCIDDenis Hamad
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2020 – today
- 2022
[c32]Maria Al Jreidy, Joseph Constantin, Fadi Dornaika, Denis Hamad
:
Graph Convolution Networks for Unsupervised Learning. SADASC 2022: 24-33- [c31]Amine Khatib, Franck Dufrenois, Mohamed Hamlich, Denis Hamad:
Collaborative Kernel Discriminant Analysis for Large Scale Multi Class Problems. SADASC 2022: 34-50 - 2021
- [j18]Samah Hijazi, Denis Hamad, Mariam Kalakech, Ali Kalakech:
Active learning of constraints for weighted feature selection. Adv. Data Anal. Classif. 15(2): 337-377 (2021) - [j17]Ilyes Bendjoudi, Frédéric Vanderhaegen, Denis Hamad, Fadi Dornaika:
Multi-label, multi-task CNN approach for context-based emotion recognition. Inf. Fusion 76: 422-428 (2021) - 2020
- [j16]Alice Porebski, Vinh Truong Hoang, Nicolas Vandenbroucke, Denis Hamad:
Combination of LBP Bin and Histogram Selections for Color Texture Classification. J. Imaging 6(6): 53 (2020) - [c30]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
- 2019
- [j15]Souha El Katat, Ali Kalakech, Mariam Kalakech, Denis Hamad:
Financial development indicators: a comparative study between lebanon and middle east countries based on data mining techniques. Int. Arab J. Inf. Technol. 16(3A): 499-505 (2019) - [c29]Franck Dufrenois, Denis Hamad:
Sparse and online null proximal discriminant analysis for one class learning in large-scale datasets. IJCNN 2019: 1-8 - [c28]Mohamed Alimoussa, Nicolas Vandenbroucke, Alice Porebski, Rachid Oulad Haj Thami, Sanaa El Fkihi, Denis Hamad:
Compact Color Texture Representation by Feature Selection in Multiple Color Spaces. VISIGRAPP (4: VISAPP) 2019: 436-443 - 2018
- [j14]Alice Porebski, Vinh Truong Hoang, Nicolas Vandenbroucke, Denis Hamad:
Multi-color space local binary pattern-based feature selection for texture classification (Erratum). J. Electronic Imaging 27(03): 039801 (2018) - [j13]Mariam Kalakech, Alice Porebski, Nicolas Vandenbroucke, Denis Hamad:
Unsupervised Local Binary Pattern Histogram Selection Scores for Color Texture Classification. J. Imaging 4(10): 112 (2018) - [c27]Souha El Katat, Ali Kalakech, Mariam Kalakech, Denis Hamad:
A Comparative Study Between Lebanon and Middle East Countries Based on Data Mining Techniques. ACIT 2018: 1-5 - [c26]Samah Hijazi, Mariam Kalakech, Denis Hamad, Ali Kalakech:
Feature selection approach based on hypothesis-margin and pairwise constraints. MENACOMM 2018: 1-6 - 2017
- [c25]Vinh Truong Hoang, Alice Porebski, Nicolas Vandenbroucke, Denis Hamad:
LBP Histogram Selection based on Sparse Representation for Color Texture Classification. VISIGRAPP (4: VISAPP) 2017: 476-483 - 2016
- [c24]Mariam Kalakech, Ali Kalakech, Denis Hamad:
Selection of world development indicators for countries classification. ICDEc 2016: 24-28 - [c23]P. Chuzel, A. Mansour, Julien Ognard, Jean-Christophe Gentric, Luc Bressollette, Denis Hamad, Nacim Betrouni:
Automatic clustering for MRI images, application on perfusion MRI of brain. ICFSP 2016: 63-66 - [c22]Joseph Constantin, Ibtissam Constantin, André Bigand, Denis Hamad:
Perception of noise in global illumination based on inductive learning. IJCNN 2016: 5021-5028 - [c21]Vinh Truong Hoang, Alice Porebski, Nicolas Vandenbroucke, Denis Hamad:
LBP parameter tuning for texture analysis of lace images. IPAS 2016: 1-6 - 2015
- [j12]Joseph Constantin, André Bigand, Ibtissam Constantin, Denis Hamad:
Image noise detection in global illumination methods based on FRVM. Neurocomputing 164: 82-95 (2015) - [j11]Kevin Rousseeuw, Émilie Caillault Poisson, Alain Lefebvre, Denis Hamad:
Hybrid Hidden Markov Model for Marine Environment Monitoring. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(1): 204-213 (2015) - [c20]Alissar Nasser, Denis Hamad:
Detection and visualisation of outliers using kernel principal components. DICTAP 2015: 119-124 - [c19]Mariam Kalakech, Alice Porebski, Nicolas Vandenbroucke, Denis Hamad:
A new LBP histogram selection score for color texture classification. IPTA 2015: 242-247 - [c18]Alice Porebski, Nicolas Vandenbroucke, Denis Hamad:
A fast embedded selection approach for color texture classification using degraded LBP. IPTA 2015: 254-259 - 2014
- [j10]Guillaume Tartare, Denis Hamad, Mustapha Azahaf, Philippe A. Puech, Nacim Betrouni:
Spectral clustering applied for dynamic contrast-enhanced MR analysis of time-intensity curves. Comput. Medical Imaging Graph. 38(8): 702-713 (2014) - [j9]Alice Porebski, Nicolas Vandenbroucke, Ludovic Macaire, Denis Hamad:
A new benchmark image test suite for evaluating colour texture classification schemes. Multim. Tools Appl. 70(1): 543-556 (2014) - [c17]Wael Ben Soltana, Alice Porebski, Nicolas Vandenbroucke, Adeel Ahmad, Denis Hamad:
Texture analysis of lace images using histogram and local binary patterns under rotation variation. IPAS 2014: 1-5 - 2013
- [j8]Mariam Kalakech, Philippe Biela, Denis Hamad, Ludovic Macaire:
Constraint Score Evaluation for Spectral Feature Selection. Neural Process. Lett. 38(2): 155-175 (2013) - [j7]Guillaume Wacquet, Émilie Caillault Poisson, Denis Hamad, Pierre-Alexandre Hébert:
Constrained spectral embedding for K-way data clustering. Pattern Recognit. Lett. 34(9): 1009-1017 (2013) - [c16]Alice Porebski, Nicolas Vandenbroucke, Denis Hamad:
LBP histogram selection for supervised color texture classification. ICIP 2013: 3239-3243 - [c15]Kevin Rousseeuw, Émilie Caillault Poisson, Alain Lefebvre, Denis Hamad:
Monitoring system of phytoplankton blooms by using unsupervised classifier and time modeling. IGARSS 2013: 3962-3965 - [c14]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 - 2011
- [j6]Mariam Kalakech, Philippe Biela, Ludovic Macaire, Denis Hamad:
Constraint scores for semi-supervised feature selection: A comparative study. Pattern Recognit. Lett. 32(5): 656-665 (2011) - [c13]Guillaume Wacquet, Pierre-Alexandre Hébert, Émilie Caillault Poisson, Denis Hamad:
Semi-supervised K-way Spectral Clustering using Pairwise Constraints. IJCCI (NCTA) 2011: 72-81 - [c12]Mariam Kalakech, Philippe Biela, Denis Hamad, Ludovic Macaire:
Semi-supervised Evaluation of Constraint Scores for Feature Selection. IJCCI (NCTA) 2011: 175-182
2000 – 2009
- 2009
- [j5]Franck Dufrenois, Johan Colliez, Denis Hamad:
Bounded Influence Support Vector Regression for Robust Single-Model Estimation. IEEE Trans. Neural Networks 20(11): 1689-1706 (2009) - 2007
- [c11]Franck Dufrenois, Johan Colliez, Denis Hamad:
Crisp Weighted Support Vector Regression for robust single model estimation : application to object tracking in image sequences. CVPR 2007 - [c10]Alissar Nasser, Pierre-Alexandre Hébert, Denis Hamad:
Clustering Evaluation in Feature Space. ICANN (2) 2007: 321-330 - [c9]Franck Dufrenois, Johan Colliez, Denis Hamad:
Weighted Support Vector Regression for robust single model estimation : application to motion segmentation in image sequences. IJCNN 2007: 586-591 - [c8]Franck Dufrenois, Denis Hamad:
Fuzzy weighted support vector regression for multiple linear model estimation : application to object tracking in image sequences. IJCNN 2007: 1289-1294 - 2006
- [j4]Johan Colliez, Franck Dufrenois, Denis Hamad:
Optic flow estimation by support vector regression. Eng. Appl. Artif. Intell. 19(7): 761-768 (2006) - [c7]Johan Colliez, Franck Dufrenois, Denis Hamad:
Robust Regression and Outlier Detection with SVR: Application to Optic Flow Estimation. BMVC 2006: 1229-1238 - [c6]Alissar Nasser, Denis Hamad:
K-means Clustering Algorithm in Projected Spaces. FUSION 2006: 1-6 - [c5]Alissar Nasser, Denis Hamad, Chaiban Nasr:
Kernel PCA as a Visualization Tools for Clusters Identifications. ICANN (2) 2006: 321-329 - 2005
- [j3]Joseph Constantin, Chaiban Nasr, Denis Hamad:
Control of a robot manipulator and pendubot system using artificial neural networks. Robotica 23(6): 781-784 (2005)
1990 – 1999
- 1998
- [j2]Denis Hamad, Mohamed Betrouni, Philippe Biela, Jack-Gérard Postaire:
Neural Networks Inspection System for Glass Bottles Production: A Comparative Study. Int. J. Pattern Recognit. Artif. Intell. 12(4): 505-516 (1998) - [c4]Régis Bertrand, Noureddine Elhor, Denis Hamad, Jack-Gérard Postaire:
Supervision of Wind Energy Converters by an Autoassociator Neural Network. NC 1998: 329-334 - 1997
- [j1]C. Firmin, Denis Hamad, Jack-Gérard Postaire, R. D. Zhang:
Gaussian Neural Networks for Glass Bottles Inspection: A Learning Procedure. Int. J. Neural Syst. 8(1): 41-46 (1997) - [c3]Noureddine Elhor, Régis Bertrand, Denis Hamad:
Bernoulli Mixture Model of Experts for Supervised Pattern Classification. ICANNGA 1997: 44-48 - 1995
- [c2]Denis Hamad, Mohamed Betrouni:
Artificial Neural Networks for Nonlinear Projection and Exploratory Data Analysis. ICANNGA 1995: 164-167 - 1993
- [c1]Mohamed Daoudi, Denis Hamad, Jack-Gérard Postaire:
A display oriented technique for interactive pattern recognition by multilayer neural network. ICNN 1993: 1633-1637
Coauthor Index
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