Lydia Bouzar-Benlabiod

23 papers C 2Misc 12Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
A Comparison of Autoencoders and Variational Autoencoders for Anomaly Detection in Dermoscopic Skin Lesion Imagery.
Canadian AI
Errol DaRocha, Andrew McIntyre, Lydia Bouzar-Benlabiod
2025 Misc conf
Early Detection of Alzheimer's Using MRIs and Explainable 3D CNNs.
IRI
Hamza Ben Alla, Lydia Bouzar-Benlabiod
2025 Misc conf
Integrating Interpretability into Deep Learning Models for Mammogram-Based Breast Cancer Detection.
IRI
Joy Ndirangu, Lydia Bouzar-Benlabiod
2023 J jnl
A novel breast cancer detection architecture based on a CNN-CBR system for mammogram classification.
Comput. Biol. Medicine
Lydia Bouzar-Benlabiod, Khaled Harrar, Lahcen Yamoun, Mustapha Yacine Khodja, Moulay A. Akhloufi
2023 Misc conf
Cost Efficient Mammogram Segmentation and Classification with NeuroMem® Chip for Breast Cancer Detection.
IRI
Soumeya Demil, Lydia Bouzar-Benlabiod, Guy Paillet
2021 Misc conf
Mammograms Classification with NeuroMem® Chip for Breast Cancer Detection.
IRI
Amine Hamza Yaker, Lydia Bouzar-Benlabiod, Anne Menendez, Guy Paillet
2021 Misc conf
Optimizing Deep Neural Network Architectures: an overview.
IRI
Lydia Bouzar-Benlabiod, Stuart H. Rubin, Amel Benaida
2020 J jnl
A case-based reasoning system for supervised classification problems in the medical field.
Expert Syst. Appl.
Miled Basma Bentaiba-Lagrid, Lydia Bouzar-Benlabiod, Stuart H. Rubin, Thouraya Bouabana-Tebibel, Maria Roumaissa Hanini
2020 J jnl
Heuristic Acquisition for Data Science.
Inf. Syst. Frontiers
Lydia Bouzar-Benlabiod, Stuart H. Rubin
2020 Misc conf
RNN-VED for Reducing False Positive Alerts in Host-based Anomaly Detection Systems.
IRI
Lydia Bouzar-Benlabiod, Stuart H. Rubin, Kahina Belaidi, Nour El Houda Haddar
2019 Misc conf
DDM: Data-Driven Modeling of Physical Phenomenon with Application to METOC.
IRI
Stuart H. Rubin, Lydia Bouzar-Benlabiod
2019 J jnl
Guest Editorial: Recent Trends in Reuse and Integration.
Inf. Syst. Frontiers
Thouraya Bouabana-Tebibel, Stuart H. Rubin, Lydia Bouzar-Benlabiod
2019 Misc conf
Variational Encoder-Decoder Recurrent Neural Network (VED-RNN) for Anomaly Prediction in a Host Environment.
IRI
Lydia Bouzar-Benlabiod, Lila Méziani, Stuart H. Rubin, Kahina Belaidi, Nour El Houda Haddar
2018 Misc conf
From Petri Nets to UML Model: A New Transformation Approach.
IRI
Lila Méziani, Thouraya Bouabana-Tebibel, Lydia Bouzar-Benlabiod
2018 Misc conf
Knowledge Amplification Using Randomization in Case-Based Reasoning - Case Study: Severity of Mammography Mass.
IRI
Miled Basma Bentaiba-Lagrid, Lydia Bouzar-Benlabiod, Stuart H. Rubin, Thouraya Bouabana-Tebibel, Maria Roumaissa Hanini
2018 Misc conf
Knowledge-Based Randomization for Amplification.
IRI
Thouraya Bouabana-Tebibel, Stuart H. Rubin, Lydia Bouzar-Benlabiod, Miled Basma Bentaiba-Lagrid, Maria Roumaissa Hanini
2018 C conf
Merging Guaranteed Possibilistic Bases to Rank IDS Alerts.
IEA/AIE
Lydia Bouzar-Benlabiod, Lila Méziani, Nacer-Eddine Rim, Zakaria Mellal
2018 Misc conf
Randomization-Based Knowledge Discovery with Application to Weather Prediction.
IRI
Lydia Bouzar-Benlabiod, Stuart H. Rubin, Lila Méziani
2016 — conf
Experts' Knowledge Merging to Reduce IDS Alerts Number.
CTS
Lydia Bouzar-Benlabiod, Lila Méziani, Abdelkrim Chebieb, Nacer-Eddine Rim, Zakaria Mellal
2015 J jnl
Instantiated First Order Qualitative Choice Logic for an efficient handling of alerts correlation.
Intell. Data Anal.
Lydia Bouzar-Benlabiod, Salem Benferhat, Thouraya Bouabana-Tebibel
2014 J jnl
Comparing and Weakening Possibilistic Knowledge Bases.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Lydia Bouzar-Benlabiod, Salem Benferhat, Thouraya Bouabana-Tebibel
2013 — ch.
A New Approach for QCL-Based Alert Correlation Process.
Modeling Approaches and Algorithms for Advanced Computer Applications
Lydia Bouzar-Benlabiod, Salem Benferhat, Thouraya Bouabana-Tebibel
2013 C conf
An efficient QCL-based alert correlation process.
SEKE
Lydia Bouzar-Benlabiod, Salem Benferhat, Thouraya Bouabana-Tebibel