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Professeur, Equipe Imap

Adresse électronique : denis.hamad [at]
Téléphone : +33 (0)3 21 46 56 60
Fax : +33 (0)3 21 46 55 75
Adresse : 50 rue F. Buisson, BP 719, 62228 Calais Cedex

Denis Hamad is professor at the University of Littoral Côte d'Opale since 2002. He obtained a HDR (Habilitation à Diriger la Recherche) degree in neural networks for unsupervised pattern classification and a Ph.D. degree in detection and validation of measurements in complex systems from the University of Lille 1 Sciences and Technologies-France in 1997 resp. in 1986.
Between 1998 and 2002, he was Professor at University of Picardie Jules Vernes, Amiens-France and Head of the CREA Laboratory. His main research interests are in: Machines learning, unsupervised classification, image and signal segmentation.
Since 1993, he has been involved in many industrial projects related to machine learning systems: Glass bottles inspection, wind turbine supervision, robot control, fault detection and diagnosis systems, transport security and more recently monitoring of marine environment ecosystem.
Actually, his research is in the area of signal processing and machine learning for "environment, coastal environment, and sustainable development". He is involved in the Interreg 2 Seas DYMAPHY Project "Development of a DYnamic observation system for the assessment of MArine water quality, based on PHYtoplankton analysis". He managed the PhytoClas project which has been selected as innovative project and supported by the university ULCO. PhytoClas has the objective of characterization and classification of phytoplankton by Cytometry signal analysis and image processing. He managed the CLASPEC project "Spectral Clustering for Color Image Segmentation and Audio Signals". CLASPEC has been supported by "Graisyhm research federation". He managing the REPAR project "Représentation Parcimonieuse et Apprentissage Dynamique pour le signal et l'image". REPAR 2014-2017, is supported by AIRR Regional found.



Combination of LBP Bin and Histogram Selections for Color Texture Classification

Alice Porebski, Vinh Truong Hoang, Nicolas Vandenbroucke, Denis Hamad
Journal of Imaging, Volume 6, Issue 6, 2020
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Active Learning of Constraints for Weighted Feature Selection

S. Hijazi, M. Kalakech, D. Hamad, A. Kalakech
Journal of Advances in Data Analysis and Classification. Accepted with minor revision.

Dynamic Partitioning of Transportation Network using Evolutionary Spectral Clustering

Pamela Al Alam, Denis Hamad, Joseph Constantin, Ibtissam Constantin, and Youssef Zaatar
International Conference on Smart Applications and Data Analysis for Smart Cyber-Physical Systems (SADASC-20), in Marrakesh - Morocco, June 25-26, 2020.

Spectral clustering: incremental and evolutionary algorithms

Pamela Al Alam, Joseph Constantin and Denis Hamad
Mathematical Modeling of Complex Systems (M2CS) FST - Cadi Ayyad University, Marrakech - Morocco, 13 - 16 April 2020.

Evolutionary spectral clustering algorithm for dynamic partitioning of transportation network.

P. Al Alam, D. Hamad, J. Constantin, I. Constantin, Y. Zaatar
Pattern Recognition and Tracking XXXI, Symposium: SPIE Defense + Commercial Sensing, Anaheim, California, United States, 27 April - 1 May 2020.

Incremental and evolutionary clustering-based graphs: application to traffic congestion

Denis Hamad and Pamela Al Alam
Tutorial in the International Conference on Smart Applications and Data Analysis for Smart Cyber-Physical Systems (SADASC-20), in Marrakesh - Morocco, June 25-26, 2020..


Sparse and online null proximal discriminant analysis for one class learning in large-scale datasets

Franck Dufrenois, Denis Hamad
International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, July 14-19, 2019.
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Graph based Feature Selection

Denis Hamad
Plenary conference in SMC'19: New Challenges in Data Science, Moroccan Classification Society, March 28-29, 2019, Kenitra - Morocco.
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Compact Color Texture Representation by Feature Selection in Multiple Color Spaces

International Conference on Computer Vision Theory and Applications (VISAPP'19), 25-27 February, Prague, Czech Republic, 2019


Unsupervised Local Binary Pattern Histogram Selection Scores for Color Texture Classification

Journal of Imaging, volume 4, issue 10, 2018.
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