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Lydia Bouzar-Benlabiod
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2020 – today
- 2023
- [j6]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: 107133 (2023) - [c13]Soumeya Demil, Lydia Bouzar-Benlabiod, Guy Paillet:
Cost Efficient Mammogram Segmentation and Classification with NeuroMem® Chip for Breast Cancer Detection. IRI 2023: 273-278 - 2021
- [c12]Lydia Bouzar-Benlabiod, Stuart H. Rubin, Amel Benaida:
Optimizing Deep Neural Network Architectures: an overview. IRI 2021: 25-32 - [c11]Amine Hamza Yaker, Lydia Bouzar-Benlabiod, Anne Menendez, Guy Paillet:
Mammograms Classification with NeuroMem® Chip for Breast Cancer Detection. IRI 2021: 236-239 - 2020
- [j5]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: 113335 (2020) - [j4]Lydia Bouzar-Benlabiod, Stuart H. Rubin:
Heuristic Acquisition for Data Science. Inf. Syst. Frontiers 22(5): 1001-1007 (2020) - [c10]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: 17-24
2010 – 2019
- 2019
- [j3]Thouraya Bouabana-Tebibel, Stuart H. Rubin, Lydia Bouzar-Benlabiod:
Guest Editorial: Recent Trends in Reuse and Integration. Inf. Syst. Frontiers 21(1): 1-3 (2019) - [c9]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: 75-82 - [c8]Stuart H. Rubin, Lydia Bouzar-Benlabiod:
DDM: Data-Driven Modeling of Physical Phenomenon with Application to METOC. IRI 2019: 315-325 - 2018
- [c7]Lydia Bouzar-Benlabiod, Lila Méziani, Nacer-Eddine Rim, Zakaria Mellal:
Merging Guaranteed Possibilistic Bases to Rank IDS Alerts. IEA/AIE 2018: 286-291 - [c6]Thouraya Bouabana-Tebibel, Stuart H. Rubin, Lydia Bouzar-Benlabiod, Miled Basma Bentaiba-Lagrid, Maria Roumaissa Hanini:
Knowledge-Based Randomization for Amplification. IRI 2018: 147-154 - [c5]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: 155-162 - [c4]Lydia Bouzar-Benlabiod, Stuart H. Rubin, Lila Méziani:
Randomization-Based Knowledge Discovery with Application to Weather Prediction. IRI 2018: 163-169 - [c3]Lila Méziani, Thouraya Bouabana-Tebibel, Lydia Bouzar-Benlabiod:
From Petri Nets to UML Model: A New Transformation Approach. IRI 2018: 503-510 - 2016
- [c2]Lydia Bouzar-Benlabiod, Lila Méziani, Abdelkrim Chebieb, Nacer-Eddine Rim, Zakaria Mellal:
Experts' Knowledge Merging to Reduce IDS Alerts Number. CTS 2016: 418-423 - 2015
- [j2]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): 3-27 (2015) - 2014
- [j1]Lydia Bouzar-Benlabiod, Salem Benferhat, Thouraya Bouabana-Tebibel:
Comparing and Weakening Possibilistic Knowledge Bases. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 22(2): 181-204 (2014) - 2013
- [c1]Lydia Bouzar-Benlabiod, Salem Benferhat, Thouraya Bouabana-Tebibel:
An efficient QCL-based alert correlation process. SEKE 2013: 388-393 - [p1]Lydia Bouzar-Benlabiod, Salem Benferhat, Thouraya Bouabana-Tebibel:
A New Approach for QCL-Based Alert Correlation Process. Modeling Approaches and Algorithms for Advanced Computer Applications 2013: 125-134
Coauthor Index
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