Denis Hamad

Orcid: 0000-0001-6000-8707

According to our database1, Denis Hamad authored at least 50 papers between 1993 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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On csauthors.net:

Bibliography

2022
Collaborative Kernel Discriminant Analysis for Large Scale Multi Class Problems.
Proceedings of the Smart Applications and Data Analysis - 4th International Conference, 2022

Graph Convolution Networks for Unsupervised Learning.
Proceedings of the Smart Applications and Data Analysis - 4th International Conference, 2022

2021
Multi-label, multi-task CNN approach for context-based emotion recognition.
Inf. Fusion, 2021

Active learning of constraints for weighted feature selection.
Adv. Data Anal. Classif., 2021

2020
Combination of LBP Bin and Histogram Selections for Color Texture Classification.
J. Imaging, 2020

Dynamic Partitioning of Transportation Network Using Evolutionary Spectral Clustering.
Proceedings of the Smart Applications and Data Analysis - Third International Conference, 2020

2019
Financial development indicators: a comparative study between lebanon and middle east countries based on data mining techniques.
Int. Arab J. Inf. Technol., 2019

Compact Color Texture Representation by Feature Selection in Multiple Color Spaces.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Sparse and online null proximal discriminant analysis for one class learning in large-scale datasets.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Unsupervised Local Binary Pattern Histogram Selection Scores for Color Texture Classification.
J. Imaging, 2018

Multi-color space local binary pattern-based feature selection for texture classification (Erratum).
J. Electronic Imaging, 2018

Feature selection approach based on hypothesis-margin and pairwise constraints.
Proceedings of the IEEE Middle East and North Africa Communications Conference, 2018

A Comparative Study Between Lebanon and Middle East Countries Based on Data Mining Techniques.
Proceedings of the International Arab Conference on Information Technology, 2018

2017
LBP Histogram Selection based on Sparse Representation for Color Texture Classification.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017

2016
LBP parameter tuning for texture analysis of lace images.
Proceedings of the International Image Processing, Applications and Systems, 2016

Perception of noise in global illumination based on inductive learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Automatic clustering for MRI images, application on perfusion MRI of brain.
Proceedings of the 2nd International Conference on Frontiers of Signal Processing, 2016

Selection of world development indicators for countries classification.
Proceedings of the International Conference on Digital Economy, 2016

2015
Hybrid Hidden Markov Model for Marine Environment Monitoring.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Image noise detection in global illumination methods based on FRVM.
Neurocomputing, 2015

A fast embedded selection approach for color texture classification using degraded LBP.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015

A new LBP histogram selection score for color texture classification.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Detection and visualisation of outliers using kernel principal components.
Proceedings of the 2015 Fifth International Conference on Digital Information and Communication Technology and its Applications, 2015

2014
A new benchmark image test suite for evaluating colour texture classification schemes.
Multim. Tools Appl., 2014

Spectral clustering applied for dynamic contrast-enhanced MR analysis of time-intensity curves.
Comput. Medical Imaging Graph., 2014

Texture analysis of lace images using histogram and local binary patterns under rotation variation.
Proceedings of the International Image Processing, 2014

2013
Constrained spectral embedding for K-way data clustering.
Pattern Recognit. Lett., 2013

Constraint Score Evaluation for Spectral Feature Selection.
Neural Process. Lett., 2013

Image Noise Detection in Global Illumination Methods Based on Fast Relevance Vector Machine.
Proceedings of the Advances in Computational Intelligence, 2013

Monitoring system of phytoplankton blooms by using unsupervised classifier and time modeling.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

LBP histogram selection for supervised color texture classification.
Proceedings of the IEEE International Conference on Image Processing, 2013

2011
Constraint scores for semi-supervised feature selection: A comparative study.
Pattern Recognit. Lett., 2011

Semi-supervised K-way Spectral Clustering using Pairwise Constraints.
Proceedings of the NCTA 2011, 2011

Semi-supervised Evaluation of Constraint Scores for Feature Selection.
Proceedings of the NCTA 2011, 2011

2009
Bounded Influence Support Vector Regression for Robust Single-Model Estimation.
IEEE Trans. Neural Networks, 2009

2007
Fuzzy weighted support vector regression for multiple linear model estimation : application to object tracking in image sequences.
Proceedings of the International Joint Conference on Neural Networks, 2007

Weighted Support Vector Regression for robust single model estimation : application to motion segmentation in image sequences.
Proceedings of the International Joint Conference on Neural Networks, 2007

Clustering Evaluation in Feature Space.
Proceedings of the Artificial Neural Networks, 2007

Crisp Weighted Support Vector Regression for robust single model estimation : application to object tracking in image sequences.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Optic flow estimation by support vector regression.
Eng. Appl. Artif. Intell., 2006

Kernel PCA as a Visualization Tools for Clusters Identifications.
Proceedings of the Artificial Neural Networks, 2006

K-means Clustering Algorithm in Projected Spaces.
Proceedings of the 9th International Conference on Information Fusion, 2006

Robust Regression and Outlier Detection with SVR: Application to Optic Flow Estimation.
Proceedings of the British Machine Vision Conference 2006, 2006

2005
Control of a robot manipulator and pendubot system using artificial neural networks.
Robotica, 2005

1998
Neural Networks Inspection System for Glass Bottles Production: A Comparative Study.
Int. J. Pattern Recognit. Artif. Intell., 1998

Supervision of Wind Energy Converters by an Autoassociator Neural Network.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

1997
Gaussian Neural Networks for Glass Bottles Inspection: A Learning Procedure.
Int. J. Neural Syst., 1997

Bernoulli Mixture Model of Experts for Supervised Pattern Classification.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

1995
Artificial Neural Networks for Nonlinear Projection and Exploratory Data Analysis.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

1993
A display oriented technique for interactive pattern recognition by multilayer neural network.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993


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