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Author

Lydia Bouzar-Benlabiod

Observed names: Bouzar-Benlabiod Lydia, Lydia BouzarBenlabiod
Institution: Acadia University
Observed institutions: Centre National de la Recherche Scientifique, École Normale Supérieure - PSL, École Nationale Supérieure d'Informatique, Centre de Recherche en Informatique de Lens, Université d'Artois, Acadia University
ORCID: 0000-0003-2689-6469
Observed ORCID: 0000-0003-2689-6469
OpenAlex ID: A5010066142
A novel breast cancer detection architecture based on a CNN-CBR system for mammogram classification
2023 · Lydia Bouzar-Benlabiod, Khaled Harrar, et al. · Computers in Biology and Medicine · 84
A case-based reasoning system for supervised classification problems in the medical field
2020 · Miled Basma Bentaiba-Lagrid, Lydia Bouzar-Benlabiod, et al. · Expert Systems with Applications · 45
RNN-VED for Reducing False Positive Alerts in Host-based Anomaly Detection Systems
2020 · Lydia Bouzar-Benlabiod, Stuart H. Rubin, et al. · IEEE International Conference on Information Reuse and Integration for Data Science (IRI) · 10
Defending the Defender: Detecting Adversarial Examples for Network Intrusion Detection Systems
2024 · Dalila Khettaf, Lydia Bouzar-Benlabiod · IEEE International Conference on Information Reuse and Integration for Data Science (IRI) · 9
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Instantiated First Order Qualitative Choice Logic for an efficient handling of alerts correlation
2015 · Lydia Bouzar-Benlabiod, Salem Benferhat, et al. · Intelligent Data Analysis · 8
Integrating security operator knowledge and preferences to the alert correlation process
2010 · Lydia Bouzar-Benlabiod, Salem Benferhat, et al. · 7
Optimizing Deep Neural Network Architectures: an overview
2021 · Lydia Bouzar-Benlabiod, Stuart H. Rubin, et al. · IEEE International Conference on Information Reuse and Integration for Data Science (IRI) · 5
From Petri Nets to UML Model: A New Transformation Approach
2018 · Lila Meziani, Thouraya Bouabana-Tebibel, et al. · IEEE International Conference on Information Reuse and Integration (IRI) · 5
Variational Encoder-Decoder Recurrent Neural Network (VED-RNN) for Anomaly Prediction in a Host Environment
2019 · Lydia Bouzar-Benlabiod, Lila Meziani, et al. · IEEE International Conference on Information Reuse and Integration for Data Science (IRI) · 4
Guest Editorial: Recent Trends in Reuse and Integration
2019 · Thouraya Bouabana-Tebibel, Stuart H. Rubin, et al. · Information Systems Frontiers · 4
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Cost Efficient Mammogram Segmentation and Classification with NeuroMem® Chip for Breast Cancer Detection
2023 · Soumeya Demil, Lydia Bouzar-Benlabiod, et al. · IEEE International Conference on Information Reuse and Integration for Data Science (IRI) · 3
VisiBlends A Flexible Workflow for Visual Blends
2019 · Bouzar-Benlabiod Lydia, Savvas Petridis, et al. · ACM Proceedings · 3
Knowledge Amplification Using Randomization in Case-Based Reasoning -- Case Study: Severity of Mammography Mass
2018 · Miled Basma Bentaiba-Lagrid, Lydia Bouzar-Benlabiod, et al. · IEEE International Conference on Information Reuse and Integration (IRI) · 3
From Petri Nets to UML: A New Approach for Model Analysis
2019 · Lila Meziani, Thouraya Bouabana-Tebibel, et al. · Advances in intelligent systems and computing · 2
Knowledge-Based Randomization for Amplification
2018 · Thouraya Bouabana-Tebibel, Stuart H. Rubin, et al. · IEEE International Conference on Information Reuse and Integration (IRI) · 2
Experts' Knowledge Merging to Reduce IDS Alerts Number
2016 · Lydia Bouzar-Benlabiod, Lila Meziani, et al. · International Conference on Collaboration Technologies and Systems (CTS) · 2
Comparing and Weakening Possibilistic Knowledge Bases
2014 · Lydia Bouzar-Benlabiod, Salem Benferhat, et al. · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems · 2
A New Approach for QCL-Based Alert Correlation Process
2013 · Lydia Bouzar-Benlabiod, Salem Benferhat, et al. · Studies in computational intelligence · 2
Squeeze and Excitation Block Based Neural Architecture Search with Randomization for CNN Construction
2024 · Katia Benali, Lydia Bouzar-Benlabiod, et al. · IEEE International Conference on Information Reuse and Integration for Data Science (IRI) · 1
Mammograms Classification with NeuroMem® Chip for Breast Cancer Detection
2021 · Amine Hamza Yaker, Lydia Bouzar-Benlabiod, et al. · IEEE International Conference on Information Reuse and Integration for Data Science (IRI) · 1
Randomization-Based Knowledge Discovery with Application to Weather Prediction
2018 · Lydia Bouzar-Benlabiod, Stuart H. Rubin, et al. · IEEE International Conference on Information Reuse and Integration (IRI) · 1
Machine Learning Evaluation of Generative AI Debugging Feedback Plausibility for Introductory Python Programming
2026 · Brendan Toscano, Lydia Bouzar-Benlabiod, et al. · IEEE International Conference on Information Reuse and Integration for Data Science (IRI)
Privacy-Preserving Ensemble Learning for Medical Image Diagnostics using Post-Quantum Cryptography
2026 · Joseph O’Neill, Lydia Bouzar-Benlabiod, et al. · 2020 IEEE International Systems Conference (SysCon)
Memory-Efficient Quantization-Aware Optimization for FHE-Based Mammogram Classification
2026 · Mohamed Khattab, Lydia Bouzar-Benlabiod · 2020 IEEE International Systems Conference (SysCon)
Explaining 3D CNN Decisions for Alzheimer’s MRI Classification: A SHAP-Based Analysis of Preprocessing Bias
2026 · Hassen Gadacha, Lydia Bouzar-Benlabiod, et al. · 2020 IEEE International Systems Conference (SysCon)
Works count: 40
Citation count: 204
H-index: 6
I10-index: 3
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