| 2025 | AI | A Comparison of Autoencoders and Variational Autoencoders for Anomaly Detection in Dermoscopic Skin Lesion Imagery. | Errol DaRocha, Andrew R. McIntyre, Lydia Bouzar-Benlabiod |
| 2025 | IRI | Early Detection of Alzheimer's Using MRIs and Explainable 3D CNNs. | Hamza Ben Alla, Lydia Bouzar-Benlabiod |
| 2025 | IRI | Integrating Interpretability into Deep Learning Models for Mammogram-Based Breast Cancer Detection. | Joy Ndirangu, Lydia Bouzar-Benlabiod |
| 2023 | IRI | Cost Efficient Mammogram Segmentation and Classification with NeuroMem Chip for Breast Cancer Detection. | Soumeya Demil, Lydia Bouzar-Benlabiod, Guy Paillet |
| 2021 | IRI | Optimizing Deep Neural Network Architectures: an overview. | Lydia Bouzar-Benlabiod, Stuart H. Rubin, Amel Benaida |
| 2021 | IRI | Mammograms Classification with NeuroMem Chip for Breast Cancer Detection. | Amine Hamza Yaker, Lydia Bouzar-Benlabiod, Anne Menendez, Guy Paillet |
| 2020 | IRI | 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 |
| 2019 | IRI | Variational Encoder-Decoder Recurrent Neural Network (VED-RNN) for Anomaly Prediction in a Host Environment. | Lydia Bouzar-Benlabiod, Lila Mziani, Stuart H. Rubin, Kahina Belaidi, Nour El Houda Haddar |
| 2019 | IRI | DDM: Data-Driven Modeling of Physical Phenomenon with Application to METOC. | Stuart H. Rubin, Lydia Bouzar-Benlabiod |
| 2018 | IRI | 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 |
| 2018 | IRI | Knowledge-Based Randomization for Amplification. | Thouraya Bouabana-Tebibel, Stuart H. Rubin, Lydia Bouzar-Benlabiod, Miled Basma Bentaiba-Lagrid, Maria Roumaissa Hanini |
| 2018 | IRI | Randomization-Based Knowledge Discovery with Application to Weather Prediction. | Lydia Bouzar-Benlabiod, Stuart H. Rubin, Lila Mziani |
| 2018 | IRI | From Petri Nets to UML Model: A New Transformation Approach. | Lila Mziani, Thouraya Bouabana-Tebibel, Lydia Bouzar-Benlabiod |
| 2013 | SEKE | An efficient QCL-based alert correlation process. | Lydia Bouzar-Benlabiod, Salem Benferhat, Thouraya Bouabana-Tebibel |