Rachid Hedjam

According to our database, Rachid Hedjam authored at least 40 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Behaviors of first-order optimizers in the context of sparse data and sparse models: A comparative study.

Khadra Bouanane, Basma Dokkar, Mebarka Allaoui, Bouthayna Meddour, Mohammed Lamine Kherfi, Rachid Hedjam

Digit. Signal Process., 2024

SW-CAM: Class Activation Map with Feature Map Selection and Weight Modification.

Shaowei Qu, Rachid Hedjam, Zhimin Wang, Yongjian Gu, Lifan Yao, Haitao Li, Guoqiang Zhong

Proceedings of the 2024 2nd Asia Conference on Computer Vision, 2024

2023

Hybrid Deep Learning-Based Intrusion Detection System for RPL IoT Networks.

Yahya Al Sawafi, Abderezak Touzene, Rachid Hedjam

J. Sens. Actuator Networks, April, 2023

2022

Weak Edge Identification Network for Ocean Front Detection.

Qingyang Li, Guoqiang Zhong, Cui Xie, Rachid Hedjam

IEEE Geosci. Remote. Sens. Lett., 2022

X-ray image based COVID-19 detection using evolutionary deep learning approach.

Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Rachid Hedjam, Abbas Khosravi, Saeid Nahavandi

Expert Syst. Appl., 2022

Supervised Class-pairwise NMF for Data Representation and Classification.

Rachid Hedjam, Abdelhamid Abdesselam, Seyed Mohammad Jafar Jalali, Imran Khan, Samir Brahim Belhaouari

CoRR, 2022

Non-Negative Matrix Factorization with Scale Data Structure Preservation.

Rachid Hedjam, Abdelhamid Abdesselam, Abderrahmane Rahiche, Mohamed Cheriet

CoRR, 2022

2021

NMF with feature relationship preservation penalty term for clustering problems.

Rachid Hedjam, Abdelhamid Abdesselam, Farid Melgani

Pattern Recognit., 2021

Ensemble clustering using extended fuzzy k-means for cancer data analysis.

Imran Khan, Zongwei Luo, Abdul Khalique Shaikh, Rachid Hedjam

Expert Syst. Appl., 2021

Using Machine Learning in Business Process Re-Engineering.

Younis Al-Anqoudi, Abdullah Al-Hamdani, Mohammed Al-Badawi, Rachid Hedjam

Big Data Cogn. Comput., 2021

2020

Change Detection in Unlabeled Optical Remote Sensing Data Using Siamese CNN.

Rachid Hedjam, Abdelhamid Abdesselam, Farid Melgani

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Fast Binary Network Intrusion Detection based on Matched Filter Optimization.

Hajar Saif Alsaadi, Rachid Hedjam, Abderezak Touzene, Abdelhamid Abdessalem

Proceedings of the IEEE International Conference on Informatics, 2020

2019

Gabor filter-based texture for ancient degraded document image binarization.

Abdenour Sehad, Youcef Chibani, Rachid Hedjam, Mohamed Cheriet

Pattern Anal. Appl., 2019

Autonomous Robot Navigation System Using the Evolutionary Multi-Verse optimizer Algorithm.

Seyed Mohammad Jafar Jalali, Abbas Khosravi, Parham M. Kebria, Rachid Hedjam, Saeid Nahavandi

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Change Detection from Unlabeled Remote Sensing Images Using SIAMESE ANN.

Rachid Hedjam, Abdelhamid Abdesselam, Farid Melgani

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Investigating Existing Techniques for Designing Convolutional Neural Network Filters.

Arunadevi Karuppasamy, Abdelhamid Abdessalem, Rachid Hedjam, Hamza M. Zidoum

Proceedings of the 10th International Conference on Computing, 2019

2017

CorrC2G: Color to Gray Conversion by Correlation.

Hossein Ziaei Nafchi, Atena Shahkolaei, Rachid Hedjam, Mohamed Cheriet

IEEE Signal Process. Lett., 2017

Statistical-based method to determine the best hour of the day regarding GHG emissions for a smart home appliance.

Ana Carolina Riekstin, Rachid Hedjam, Thomas Dandres, Mohamed Cheriet

Proceedings of the 2017 IEEE SmartWorld, 2017

Feature Learning for Footnote-Based Document Image Classification.

Sherif Abuelwafa, Mohamed Mhiri, Rachid Hedjam, Sara Zhalehpour, Andrew Piper, Chad Wellmon, Mohamed Cheriet

Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

2016

Iterative Classifiers Combination Model for Change Detection in Remote Sensing Imagery.

Rachid Hedjam, Margaret Kalacska, Max Mignotte, Hossein Ziaei Nafchi, Mohamed Cheriet

IEEE Trans. Geosci. Remote. Sens., 2016

MUG: A Parameterless No-Reference JPEG Quality Evaluator Robust to Block Size and Misalignment.

Hossein Ziaei Nafchi, Atena Shahkolaei, Rachid Hedjam, Mohamed Cheriet

IEEE Signal Process. Lett., 2016

Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality Evaluator.

Hossein Ziaei Nafchi, Atena Shahkolaei, Rachid Hedjam, Mohamed Cheriet

IEEE Access, 2016

2015

Influence of Color-to-Gray Conversion on the Performance of Document Image Binarization: Toward a Novel Optimization Problem.

Rachid Hedjam, Hossein Ziaei Nafchi, Margaret Kalacska, Mohamed Cheriet

IEEE Trans. Image Process., 2015

Deviation Based Pooling Strategies For Full Reference Image Quality Assessment.

Hossein Ziaei Nafchi, Rachid Hedjam, Atena Shahkolaei, Mohamed Cheriet

CoRR, 2015

LBP-based degraded document image binarization.

Abdenour Sehad, Youcef Chibani, Rachid Hedjam, Mohamed Cheriet

Proceedings of the 2015 International Conference on Image Processing Theory, 2015

ICDAR 2015 contest on MultiSpectral Text Extraction (MS-TEx 2015).

Rachid Hedjam, Hossein Ziaei Nafchi, Reza Farrahi Moghaddam, Margaret Kalacska, Mohamed Cheriet

Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

2014

Constrained Energy Maximization and Self-Referencing Method for Invisible Ink Detection from Multispectral Historical Document Images.

Rachid Hedjam, Mohamed Cheriet, Margaret Kalacska

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Historical document image restoration using multispectral imaging system.

Rachid Hedjam, Mohamed Cheriet

Pattern Recognit., 2013

A learning framework for the optimization and automation of document binarization methods.

Mohamed Cheriet, Reza Farrahi Moghaddam, Rachid Hedjam

Comput. Vis. Image Underst., 2013

A maximal-information color to gray conversion method for document images: Toward an optimal grayscale representation for document image binarization.

Reza Farrahi Moghaddam, Shaohua Chen, Rachid Hedjam, Mohamed Cheriet

CoRR, 2013

Ground-Truth Estimation in Multispectral Representation Space: Application to Degraded Document Image Binarization.

Rachid Hedjam, Mohamed Cheriet

Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

2012

Corrigendum to 'A spatially adaptive statistical method for the binarization of historical manuscripts and degraded document images' [Pattern Recognition 44 (2011) 2184-2196].

Rachid Hedjam, Reza Farrahi Moghaddam, Mohamed Cheriet

Pattern Recognit., 2012

Hyperspectral band selection based on graph clustering.

Rachid Hedjam, Mohamed Cheriet

Proceedings of the 11th International Conference on Information Science, 2012

2011

A spatially adaptive statistical method for the binarization of historical manuscripts and degraded document images.

Rachid Hedjam, Reza Farrahi Moghaddam, Mohamed Cheriet

Pattern Recognit., 2011

Combining statistical and geometrical classifiers for text extraction in multispectral document images.

Rachid Hedjam, Mohamed Cheriet

Proceedings of the 2011 Workshop on Historical Document Imaging and Processing, 2011

Novel Data Representation for Text Extraction from Multispectral Historical Document Images.

Rachid Hedjam, Mohamed Cheriet

Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

2010

Text extraction from degraded document images.

Rachid Hedjam, Reza Farrahi Moghaddam, Mohamed Cheriet

Proceedings of the 2nd European Workshop on Visual Information Processing, 2010

Segmentation-based document image denoising.

Rachid Hedjam, Mohamed Cheriet

Proceedings of the 2nd European Workshop on Visual Information Processing, 2010

2009

Markovian clustering for the non-local means image denoising.

Rachid Hedjam, Reza Farrahi Moghaddam, Mohamed Cheriet

Proceedings of the International Conference on Image Processing, 2009

A hierarchical graph-based markovian clustering approach for the unsupervised segmentation of textured color images.

Rachid Hedjam, Max Mignotte

Proceedings of the International Conference on Image Processing, 2009