Using Context to Improve the Evaluation of Information Retrieval Systems - Abdelkrim Bouramoul; Mohamed-Khireddine Kholladi; Bich-Liên Doan (CoRR, 2011)

PRESY: A Context Based Query Reformulation Tool for Information Retrieval on the Web - Abdelkrim Bouramoul; Mohamed-Khireddine Kholladi; Bich-Liên Doan (CoRR, 2011)

An ontology-based approach for semantics ranking of the web search engines results. - Abdelkrim Bouramoul; Mohamed-Khireddine Kholladi; Bich-Liên Doan (ICMCS, 2012)

Big data integration: A semantic mediation architecture using summary. - Aicha Aggoune; Abdelkrim Bouramoul; Mohamed-Khireddine Kholladi (ATSIP, 2016)

Contextualisation of information retrieval process and document ranking task in web search tools. - Abdelkrim Bouramoul (Int. J. Space Based Situated Comput., 2016)

Context-awareness security model based on multi-agents system operating in complex environment. - Haoua Cheribi; Noureddine Amraoui; Abdelkrim Bouramoul; Mohamed-Khireddine Kholladi (ICC, 2017)

Mediation system for dealing with semantic problems in databases. - Aicha Aggoune; Abdelkrim Bouramoul; Mohamed-Khireddine Kholladi (Int. J. Data Min. Model. Manag., 2017)

Gravizor: A Graphical Tool for the Visualization of Web Search Engines Results with Multi-Agent Based Modeling. - Abdelkrim Bouramoul (Int. J. Intell. Inf. Technol., 2017)

Personalized Online Analytical Processing in Big Data Context Using User Profile and Search Context. - Menaceur Sadek; Makhlouf Derdour; Abdelkrim Bouramoul (Int. J. Strateg. Inf. Technol. Appl., 2017)

A multi-agent based security policy for web related applications: a hybrid approach using context and ontology. - Haoua Cheribi; Abdelkrim Bouramoul; Mohamed-Khireddine Kholladi (Int. J. Web Eng. Technol., 2017)

Stacked Sparse Autoencoder For Unsupervised Features Learning in PanCancer miRNA Cancer Classification. - Imene Zenbout; Abdelkrim Bouramoul; Souham Meshoul (CITSC, 2019)

Using Query Expansion Techniques and Content-Based Filtering for Personalizing Analysis in Big Data. - Menaceur Sadek; Makhlouf Derdour; Abdelkrim Bouramoul (Int. J. Inf. Technol. Web Eng., 2020)

Linking the Linguistic Resources Using Graph Structure for Multilingual Sentiment Analysis. - Mohamed Raouf Kanfoud; Abdelkrim Bouramoul (ICICT (1), 2021)

Using Machine Learning Techniques to Predict People At-Risk for Drug Addiction: A Bayesian-Based Model. - Wafia Abada; Abdelkrim Bouramoul (PAIS, 2022)

A Review on Recent Machine Learning Applications for Addiction Disorders. - Amina Bouhadja; Abdelkrim Bouramoul (PAIS, 2022)

Ensemble learning-based model for fake news detection. - Chahrazad Toumi; Abdelkrim Bouramoul (PAIS, 2022)

A Systematic Literature Review of the Current Status and Future Prospects of Machine Learning Methods and Techniques Applied to Novel Drug Discovery. - Ali Abdelkrim; Abdelkrim Bouramoul; Imene Zenbout (Int. J. Organ. Collect. Intell., 2022)

SentiCode: A new paradigm for one-time training and global prediction in multilingual sentiment analysis. - Mohamed Raouf Kanfoud; Abdelkrim Bouramoul (J. Intell. Inf. Syst., 2022)

Toward a Precise, Consensual, and Comprehensive Definition of Online Antisocial Behavior. - Chahrazad Toumi; Abdelkrim Bouramoul (IAM, 2023)

Efficient Bioinspired Feature Selection and Machine Learning Based Framework Using Omics Data and Biological Knowledge Data Bases in Cancer Clinical Endpoint Prediction. - Imene Zenbout; Abdelkrim Bouramoul; Souham Meshoul; Mounira Amrane (IEEE Access, 2023)

Big data visual exploration as a recommendation problem. - Moustafa Sadek Kahil; Abdelkrim Bouramoul; Makhlouf Derdour (Int. J. Data Min. Model. Manag., 2023)

Exploring the Nexus of Mental Health Research and Data Synthesis: Role of Medical Data Quality in Machine Learning for Addiction Studies. - Wafia Abada; Abdelkrim Bouramoul (ATSIP, 2024)

CoMediC: Empowering Collaborative and Participatory Medical Multimodel Data Collection Projects. - Wafia Abada; Abdelkrim Bouramoul; Asma Ayari (RIF, 2024)

Advancing Video Game Addiction Detection: A Stacking Ensemble Approach Utilizing Machine Learning and Deep Learning Models. - Amina Bouhadja; Abdelkrim Bouramoul (RIF, 2024)