Lydia Bouzar-Benlabiod

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 16

Top Topics

Alert Correlation

Top Venues

Inf. Syst. Frontiers

Int. J. Uncertain. Fuzziness Knowl. Based Syst.

Publications

Soumeya Demil, Lydia Bouzar-Benlabiod, Guy Paillet
Cost Efficient Mammogram Segmentation and Classification with NeuroMem® Chip for Breast Cancer Detection. IRI (2023)
Lydia Bouzar-Benlabiod, Khaled Harrar, Lahcen Yamoun, Mustapha Yacine Khodja, Moulay A. Akhloufi
A novel breast cancer detection architecture based on a CNN-CBR system for mammogram classification. Comput. Biol. Medicine 163 (2023)
Lydia Bouzar-Benlabiod, Stuart H. Rubin, Amel Benaida
Optimizing Deep Neural Network Architectures: an overview. IRI (2021)
Amine Hamza Yaker, Lydia Bouzar-Benlabiod, Anne Menendez, Guy Paillet
Mammograms Classification with NeuroMem® Chip for Breast Cancer Detection. IRI (2021)
Lydia Bouzar-Benlabiod, Stuart H. Rubin, Kahina Belaidi, Nour El Houda Haddar
RNN-VED for Reducing False Positive Alerts in Host-based Anomaly Detection Systems. IRI (2020)
Miled Basma Bentaiba-Lagrid, Lydia Bouzar-Benlabiod, Stuart H. Rubin, Thouraya Bouabana-Tebibel, Maria Roumaissa Hanini
A case-based reasoning system for supervised classification problems in the medical field. Expert Syst. Appl. 150 (2020)
Lydia Bouzar-Benlabiod, Stuart H. Rubin
Heuristic Acquisition for Data Science. Inf. Syst. Frontiers 22 (5) (2020)
Lydia Bouzar-Benlabiod, Lila Méziani, Stuart H. Rubin, Kahina Belaidi, Nour El Houda Haddar
Variational Encoder-Decoder Recurrent Neural Network (VED-RNN) for Anomaly Prediction in a Host Environment. IRI (2019)
Thouraya Bouabana-Tebibel, Stuart H. Rubin, Lydia Bouzar-Benlabiod
Guest Editorial: Recent Trends in Reuse and Integration. Inf. Syst. Frontiers 21 (1) (2019)
Stuart H. Rubin, Lydia Bouzar-Benlabiod
DDM: Data-Driven Modeling of Physical Phenomenon with Application to METOC. IRI (2019)
Lydia Bouzar-Benlabiod, Stuart H. Rubin, Meziani Lila
Randomization-Based Knowledge Discovery with Application to Weather Prediction. IRI (2018)
Lila Méziani, Thouraya Bouabana-Tebibel, Lydia Bouzar-Benlabiod
From Petri Nets to UML Model: A New Transformation Approach. IRI (2018)
Thouraya Bouabana-Tebibel, Stuart H. Rubin, Lydia Bouzar-Benlabiod, Miled Basma Bentaiba-Lagrid, Maria Roumaissa Hanini
Knowledge-Based Randomization for Amplification. IRI (2018)
Lydia Bouzar-Benlabiod, Lila Méziani, Nacer-Eddine Rim, Zakaria Mellal
Merging Guaranteed Possibilistic Bases to Rank IDS Alerts. IEA/AIE (2018)
Miled Basma Bentaiba-Lagrid, Lydia Bouzar-Benlabiod, Stuart H. Rubin, Thouraya Bouabana-Tebibel, Maria Roumaissa Hanini
Knowledge Amplification Using Randomization in Case-Based Reasoning - Case Study: Severity of Mammography Mass. IRI (2018)
Lydia Bouzar-Benlabiod, Lila Méziani, Abdelkrim Chebieb, Nacer-Eddine Rim, Zakaria Mellal
Experts' Knowledge Merging to Reduce IDS Alerts Number. CTS (2016)
Lydia Bouzar-Benlabiod, Salem Benferhat, Thouraya Bouabana-Tebibel
Instantiated First Order Qualitative Choice Logic for an efficient handling of alerts correlation. Intell. Data Anal. 19 (1) (2015)
Lydia Bouzar-Benlabiod, Salem Benferhat, Thouraya Bouabana-Tebibel
Comparing and Weakening Possibilistic Knowledge Bases. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 22 (2) (2014)
Lydia Bouzar-Benlabiod, Salem Benferhat, Thouraya Bouabana-Tebibel
An efficient QCL-based alert correlation process. SEKE (2013)