Learning from Negative Example in Relevance Feedback for Content-Based Image Retrieval. - Mohammed Lamine Kherfi; Djemel Ziou; Alan Bernardi (ICPR (2), 2002)

Combining positive and negative examples in relevance feedback for content-based image retrieval. - Mohammed Lamine Kherfi; Djemel Ziou; Alan Bernardi (J. Vis. Commun. Image Represent., 2003)

Image retrieval based on feature weighting and relevance feedback. - Mohammed Lamine Kherfi; Djemel Ziou (ICIP, 2004)

Combining Visual Features with Semantics for a More Effective Image Retrieval. - Mohammed Lamine Kherfi; Djamel Brahmi; Djemel Ziou (ICPR (2), 2004)

Image Retrieval from the World Wide Web: Issues, Techniques, and Systems. - Mohammed Lamine Kherfi; Djemel Ziou; Alan Bernardi (ACM Comput. Surv., 2004)

Relevance feedback for CBIR: a new approach based on probabilistic feature weighting with positive and negative examples. - Mohammed Lamine Kherfi; Djemel Ziou (IEEE Trans. Image Process., 2006)

Image Collection Organization and Its Application to Indexing, Browsing, Summarization, and Semantic Retrieval. - Mohammed Lamine Kherfi; Djemel Ziou (IEEE Trans. Multim., 2007)

A survey on the complementarity between database and ontologies: principles and research areas. - Fatima Zohra Laallam; Mohammed Lamine Kherfi; Sidi Mohamed Benslimane (Int. J. Comput. Appl. Technol., 2014)

Modified integrative color intensity co-occurrence matrix for texture image representation. - Belal Khaldi; Mohammed Lamine Kherfi (J. Electronic Imaging, 2016)

A new method for automatic date fruit classification. - Oussama Aiadi; Mohammed Lamine Kherfi (Int. J. Comput. Vis. Robotics, 2017)

Automatic Recognition of Plant Leaves Using Parallel Combination of Classifiers. - Lamis Hamrouni; Ramla Bensaci; Mohammed Lamine Kherfi; Belal Khaldi; Oussama Aiadi (CIIA, 2018)

Understanding User's Intention in Semantic Based Image Retrieval: Combining Positive and Negative Examples. - Meriem Korichi; Mohammed Lamine Kherfi; Mohamed Batouche; Zineb Kaoudja; Hadjer Bencheikh (CIIA, 2018)

Extended Bayesian generalization model for understanding user's intention in semantics based images retrieval. - Meriem Korichi; Mohammed Lamine Kherfi; Mohamed Batouche; Khadra Bouanane (Multim. Tools Appl., 2018)

Combining colour and grey-level co-occurrence matrix features: a comparative study. - Belal Khaldi; Oussama Aiadi; Mohammed Lamine Kherfi (IET Image Process., 2019)

Considerably Improving Clustering Algorithms Using UMAP Dimensionality Reduction Technique: A Comparative Study. - Mebarka Allaoui; Mohammed Lamine Kherfi; Abdelhakim Cheriet (ICISP, 2020)

Object Detector Combination for Increasing Accuracy and Detecting More Overlapping Objects. - Khaoula Drid; Mebarka Allaoui; Mohammed Lamine Kherfi (ICISP, 2020)

Image representation using complete multi-texton histogram. - Belal Khaldi; Oussama Aiadi; Mohammed Lamine Kherfi (Multim. Tools Appl., 2020)

Plant Leaves Recognition Based on a Hierarchical One-Class Learning Scheme with Convolutional Auto-Encoder and Siamese Neural Network. - Lamis Hamrouni; Mohammed Lamine Kherfi; Oussama Aiadi; Abdellah Benbelghit (Symmetry, 2021)

Morphological Operations and Artificial Neural Networks for Multi-scale colored texture classification. - Belal Khaldi; Yacine Khaldi; Hanane Azzaoui; Oussama Aiadi; Mohammed Lamine Kherfi (PAIS, 2022)

Date Fruit Sorting Based on Deep Learning and Discriminant Correlation Analysis. - Oussama Aiadi; Belal Khaldi; Mohammed Lamine Kherfi; Mohamed Lamine Mekhalfi; Abdullah Alharbi (IEEE Access, 2022)

A Comparative Study of the Impact of Different First Order Optimizers on the Learning Process of UNet for Change Detection Task. - Basma Dokkar; Bouthaina Meddour; Khadra Bouanane; Mebarka Allaoui; Mohammed Lamine Kherfi (ISPR (2), 2023)

A Semi-supervised Teacher-Student Model Based on MMAN for Brain Tissue Segmentation. - Salah Felouat; Ramzi Bougandoura; Farrah Debbagh; Mohammed Elmahdi Khennour; Mohammed Lamine Kherfi; Khadra Bouanane (ISPR (1), 2023)

A Novel Two-Fold Loss Function for Data Clustering and Reconstruction: Application to Document Analysis. - Mebarka Allaoui; Mohammed Lamine Kherfi; Oussama Aiadi; Samir Brahim Belhaouari (IEEE Access, 2023)

A fast weighted multi-view Bayesian learning scheme with deep learning for text-based image retrieval from unlabeled galleries. - Oussama Aiadi; Belal Khaldi; Mohammed Lamine Kherfi (Multim. Tools Appl., 2023)

Incremental tree-based successive POI recommendation in location-based social networks. - Hanane Amirat; Nasreddine Lagraa; Philippe Fournier-Viger; Youcef Ouinten; Mohammed Lamine Kherfi; Younes Guellouma (Appl. Intell., 2023)

Randomising the Simple Recurrent Network: a lightweight, energy-efficient RNN model with application to forecasting problems. - Mohammed Elmahdi Khennour; Abdelhamid Bouchachia; Mohammed Lamine Kherfi; Khadra Bouanane (Neural Comput. Appl., 2023)

Adapting Random Simple Recurrent Network for Online Forecasting Problems. - Mohammed Elmahdi Khennour; Abdelhamid Bouchachia; Mohammed Lamine Kherfi; Khadra Bouanane; Oussama Aiadi (EAIS, 2024)

Centroid Initialization Method for t-Distributed Stochastic Neighbour Embedding (t-SNE). - Sara Husam Nassar; Samir B. Belhaouari; Mebarka Allaoui; Mohammed Lamine Kherfi (MLNLP, 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)

Unified embedding and clustering. - Mebarka Allaoui; Mohammed Lamine Kherfi; Abdelhakim Cheriet; Abdelhamid Bouchachia (Expert Syst. Appl., 2024)

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)