A hierarchical graph-based markovian clustering approach for the unsupervised segmentation of textured color images. - Rachid Hedjam; Max Mignotte (ICIP, 2009)

Markovian clustering for the non-local means image denoising. - Rachid Hedjam; Reza Farrahi Moghaddam; Mohamed Cheriet (ICIP, 2009)

Segmentation-based document image denoising. - Rachid Hedjam; Mohamed Cheriet (EUVIP, 2010)

Text extraction from degraded document images. - Rachid Hedjam; Reza Farrahi Moghaddam; Mohamed Cheriet (EUVIP, 2010)

Novel Data Representation for Text Extraction from Multispectral Historical Document Images. - Rachid Hedjam; Mohamed Cheriet (ICDAR, 2011)

Combining statistical and geometrical classifiers for text extraction in multispectral document images. - Rachid Hedjam; Mohamed Cheriet (HIP@ICDAR, 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)

Hyperspectral band selection based on graph clustering. - Rachid Hedjam; Mohamed Cheriet (ISSPA, 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)

Ground-Truth Estimation in Multispectral Representation Space: Application to Degraded Document Image Binarization. - Rachid Hedjam; Mohamed Cheriet (ICDAR, 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)

A learning framework for the optimization and automation of document binarization methods. - Mohamed Cheriet; Reza Farrahi Moghaddam; Rachid Hedjam (Comput. Vis. Image Underst., 2013)

Historical document image restoration using multispectral imaging system. - Rachid Hedjam; Mohamed Cheriet (Pattern Recognit., 2013)

Constrained Energy Maximization and Self-Referencing Method for Invisible Ink Detection from Multispectral Historical Document Images. - Rachid Hedjam; Mohamed Cheriet; Margaret Kalacska (ICPR, 2014)

ICDAR 2015 contest on MultiSpectral Text Extraction (MS-TEx 2015). - Rachid Hedjam; Hossein Ziaei Nafchi; Reza Farrahi Moghaddam; Margaret Kalacska; Mohamed Cheriet (ICDAR, 2015)

LBP-based degraded document image binarization. - Abdenour Sehad; Youcef Chibani; Rachid Hedjam; Mohamed Cheriet (IPTA, 2015)

Deviation Based Pooling Strategies For Full Reference Image Quality Assessment. - Hossein Ziaei Nafchi; Rachid Hedjam; Atena Shahkolaei; Mohamed Cheriet (CoRR, 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)

Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality Evaluator. - Hossein Ziaei Nafchi; Atena Shahkolaei; Rachid Hedjam; Mohamed Cheriet (IEEE Access, 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)

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)

Feature Learning for Footnote-Based Document Image Classification. - Sherif Abuelwafa; Mohamed Mhiri 002; Rachid Hedjam; Sara Zhalehpour; Andrew Piper; Chad Wellmon; Mohamed Cheriet (ICIAR, 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 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

CorrC2G: Color to Gray Conversion by Correlation. - Hossein Ziaei Nafchi; Atena Shahkolaei; Rachid Hedjam; Mohamed Cheriet (IEEE Signal Process. Lett., 2017)

Investigating Existing Techniques for Designing Convolutional Neural Network Filters. - Arunadevi Karuppasamy; Abdelhamid Abdessalem; Rachid Hedjam; Hamza M. Zidoum (ICCCNT, 2019)

Change Detection from Unlabeled Remote Sensing Images Using SIAMESE ANN. - Rachid Hedjam; Abdelhamid Abdesselam; Farid Melgani (IGARSS, 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 (SMC, 2019)

Gabor filter-based texture for ancient degraded document image binarization. - Abdenour Sehad; Youcef Chibani; Rachid Hedjam; Mohamed Cheriet (Pattern Anal. Appl., 2019)

Fast Binary Network Intrusion Detection based on Matched Filter Optimization. - Hajar Saif Alsaadi; Rachid Hedjam; Abderezak Touzene; Abdelhamid Abdessalem (ICIoT, 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)

Using Machine Learning in Business Process Re-Engineering. - Younis Al-Anqoudi; Abdullah Al-Hamdani; Mohammed Al-Badawi; Rachid Hedjam (Big Data Cogn. Comput., 2021)

Ensemble clustering using extended fuzzy k-means for cancer data analysis. - Imran Khan 009; Zongwei Luo; Abdul Khalique Shaikh; Rachid Hedjam (Expert Syst. Appl., 2021)

NMF with feature relationship preservation penalty term for clustering problems. - Rachid Hedjam; Abdelhamid Abdesselam; Farid Melgani (Pattern Recognit., 2021)

Non-Negative Matrix Factorization with Scale Data Structure Preservation. - Rachid Hedjam; Abdelhamid Abdesselam; Abderrahmane Rahiche; Mohamed Cheriet (CoRR, 2022)

Supervised Class-pairwise NMF for Data Representation and Classification. - Rachid Hedjam; Abdelhamid Abdesselam; Seyed Mohammad Jafar Jalali; Imran Khan 009; Samir Brahim Belhaouari (CoRR, 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)

Weak Edge Identification Network for Ocean Front Detection. - Qingyang Li; Guoqiang Zhong 001; Cui Xie; Rachid Hedjam (IEEE Geosci. Remote. Sens. Lett., 2022)

Hybrid Deep Learning-Based Intrusion Detection System for RPL IoT Networks. - Yahya Al Sawafi; Abderezak Touzene; Rachid Hedjam (J. Sens. Actuator Networks, 2023)

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 001 (CVIPPR, 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)

Meta-Unsupervised Representation Learning: A New Approach to Factorization and Interpretability. - Ameer Ahmed Khan; Rachid Hedjam; Mebarka Allaoui; Guoqiang Zhong 001 (Canadian AI, 2025)

t-SNE-PSO: Optimizing t-SNE using particle swarm optimization. - Mebarka Allaoui; Samir Brahim Belhaouari; Rachid Hedjam; Khadra Bouanane; Mohammed Lamine Kherfi (Expert Syst. Appl., 2025)

Generative neural architecture search. - Xiaotong Zhai; Shu Li; Guoqiang Zhong 001; Tao Li 031; Fuchang Zhang; Rachid Hedjam (Neurocomputing, 2025)

Convolutional Cross-Modal Autoencoder-Based Few-Shot Learning for Data Augmentation with Application to Alzheimer Dementia Diagnosis. - Othmane Bazine; Omar Rai; Oussama Aiadi; Rachid Hedjam; Belal Khaldi; Guoqiang Zhong 001 (Cogn. Comput., 2025)