An efficient QCL-based alert correlation process. - Lydia Bouzar-Benlabiod; Salem Benferhat; Thouraya Bouabana-Tebibel (SEKE, 2013)

A New Approach for QCL-Based Alert Correlation Process. - Lydia Bouzar-Benlabiod; Salem Benferhat; Thouraya Bouabana-Tebibel (Modeling Approaches and Algorithms for Advanced Computer Applications, 2013)

Comparing and Weakening Possibilistic Knowledge Bases. - Lydia Bouzar-Benlabiod; Salem Benferhat; Thouraya Bouabana-Tebibel (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014)

Instantiated First Order Qualitative Choice Logic for an efficient handling of alerts correlation. - Lydia Bouzar-Benlabiod; Salem Benferhat; Thouraya Bouabana-Tebibel (Intell. Data Anal., 2015)

Experts' Knowledge Merging to Reduce IDS Alerts Number. - Lydia Bouzar-Benlabiod; Lila Méziani; Abdelkrim Chebieb; Nacer-Eddine Rim; Zakaria Mellal (CTS, 2016)

Merging Guaranteed Possibilistic Bases to Rank IDS Alerts. - Lydia Bouzar-Benlabiod; Lila Méziani; Nacer-Eddine Rim; Zakaria Mellal (IEA/AIE, 2018)

Knowledge Amplification Using Randomization in Case-Based Reasoning - Case Study: Severity of Mammography Mass. - Miled Basma Bentaiba-Lagrid; Lydia Bouzar-Benlabiod; Stuart H. Rubin; Thouraya Bouabana-Tebibel; Maria Roumaissa Hanini (IRI, 2018)

Knowledge-Based Randomization for Amplification. - Thouraya Bouabana-Tebibel; Stuart H. Rubin; Lydia Bouzar-Benlabiod; Miled Basma Bentaiba-Lagrid; Maria Roumaissa Hanini (IRI, 2018)

Randomization-Based Knowledge Discovery with Application to Weather Prediction. - Lydia Bouzar-Benlabiod; Stuart H. Rubin; Lila Méziani (IRI, 2018)

From Petri Nets to UML Model: A New Transformation Approach. - Lila Méziani; Thouraya Bouabana-Tebibel; Lydia Bouzar-Benlabiod (IRI, 2018)

Variational Encoder-Decoder Recurrent Neural Network (VED-RNN) for Anomaly Prediction in a Host Environment. - Lydia Bouzar-Benlabiod; Lila Méziani; Stuart H. Rubin; Kahina Belaidi; Nour El Houda Haddar (IRI, 2019)

DDM: Data-Driven Modeling of Physical Phenomenon with Application to METOC. - Stuart H. Rubin; Lydia Bouzar-Benlabiod (IRI, 2019)

Guest Editorial: Recent Trends in Reuse and Integration. - Thouraya Bouabana-Tebibel; Stuart H. Rubin; Lydia Bouzar-Benlabiod (Inf. Syst. Frontiers, 2019)

RNN-VED for Reducing False Positive Alerts in Host-based Anomaly Detection Systems. - Lydia Bouzar-Benlabiod; Stuart H. Rubin; Kahina Belaidi; Nour El Houda Haddar (IRI, 2020)

A case-based reasoning system for supervised classification problems in the medical field. - Miled Basma Bentaiba-Lagrid; Lydia Bouzar-Benlabiod; Stuart H. Rubin; Thouraya Bouabana-Tebibel; Maria Roumaissa Hanini (Expert Syst. Appl., 2020)

Heuristic Acquisition for Data Science. - Lydia Bouzar-Benlabiod; Stuart H. Rubin (Inf. Syst. Frontiers, 2020)

Optimizing Deep Neural Network Architectures: an overview. - Lydia Bouzar-Benlabiod; Stuart H. Rubin; Amel Benaida (IRI, 2021)

Mammograms Classification with NeuroMem® Chip for Breast Cancer Detection. - Amine Hamza Yaker; Lydia Bouzar-Benlabiod; Anne Menendez; Guy Paillet (IRI, 2021)

Cost Efficient Mammogram Segmentation and Classification with NeuroMem® Chip for Breast Cancer Detection. - Soumeya Demil; Lydia Bouzar-Benlabiod; Guy Paillet (IRI, 2023)

A novel breast cancer detection architecture based on a CNN-CBR system for mammogram classification. - Lydia Bouzar-Benlabiod; Khaled Harrar; Lahcen Yamoun; Mustapha Yacine Khodja; Moulay A. Akhloufi (Comput. Biol. Medicine, 2023)

A Comparison of Autoencoders and Variational Autoencoders for Anomaly Detection in Dermoscopic Skin Lesion Imagery. - Errol DaRocha; Andrew McIntyre; Lydia Bouzar-Benlabiod (Canadian AI, 2025)