Lydia Bouzar-Benlabiod

According to our database, Lydia Bouzar-Benlabiod authored at least 20 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, September, 2023

Cost Efficient Mammogram Segmentation and Classification with NeuroMem® Chip for Breast Cancer Detection.

Soumeya Demil, Lydia Bouzar-Benlabiod, Guy Paillet

Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

2021

Mammograms Classification with NeuroMem® Chip for Breast Cancer Detection.

Amine Hamza Yaker, Lydia Bouzar-Benlabiod, Anne Menendez, Guy Paillet

Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

Optimizing Deep Neural Network Architectures: an overview.

Lydia Bouzar-Benlabiod, Stuart H. Rubin, Amel Benaida

Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

2020

Heuristic Acquisition for Data Science.

Lydia Bouzar-Benlabiod, Stuart H. Rubin

Inf. Syst. Frontiers, 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

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

Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020

2019

Guest Editorial: Recent Trends in Reuse and Integration.

Thouraya Bouabana-Tebibel, Stuart H. Rubin, Lydia Bouzar-Benlabiod

Inf. Syst. Frontiers, 2019

DDM: Data-Driven Modeling of Physical Phenomenon with Application to METOC.

Stuart H. Rubin, Lydia Bouzar-Benlabiod

Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019

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

Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019

2018

From Petri Nets to UML Model: A New Transformation Approach.

Lila Méziani, Thouraya Bouabana-Tebibel, Lydia Bouzar-Benlabiod

Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

Randomization-Based Knowledge Discovery with Application to Weather Prediction.

Lydia Bouzar-Benlabiod, Stuart H. Rubin, Lila Méziani

Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

Knowledge-Based Randomization for Amplification.

Thouraya Bouabana-Tebibel, Stuart H. Rubin, Lydia Bouzar-Benlabiod, Miled Basma Bentaiba-Lagrid, Maria Roumaissa Hanini

Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 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

Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

Merging Guaranteed Possibilistic Bases to Rank IDS Alerts.

Lydia Bouzar-Benlabiod, Lila Méziani, Nacer-Eddine Rim, Zakaria Mellal

Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

2016

Experts' Knowledge Merging to Reduce IDS Alerts Number.

Lydia Bouzar-Benlabiod, Lila Méziani, Abdelkrim Chebieb, Nacer-Eddine Rim, Zakaria Mellal

Proceedings of the 2016 International Conference on Collaboration Technologies and Systems, 2016

2015

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

2014

Comparing and Weakening Possibilistic Knowledge Bases.

Lydia Bouzar-Benlabiod, Salem Benferhat, Thouraya Bouabana-Tebibel

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014

2013

A New Approach for QCL-Based Alert Correlation Process.

Lydia Bouzar-Benlabiod, Salem Benferhat, Thouraya Bouabana-Tebibel

Proceedings of the Modeling Approaches and Algorithms for Advanced Computer Applications, 2013

An efficient QCL-based alert correlation process.

Lydia Bouzar-Benlabiod, Salem Benferhat, Thouraya Bouabana-Tebibel

Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013