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Lila Méziani
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2020 – today
- 2022
- [c6]Khensa Daoudi, Maroua Yamami, Salem Benferhat, Lila Méziani:
Managing imprecise map and image data in a possibility theory framework. ICMLA 2022: 1613-1618
2010 – 2019
- 2019
- [c5]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 - 2018
- [c4]Lydia Bouzar-Benlabiod, Lila Méziani, Nacer-Eddine Rim, Zakaria Mellal:
Merging Guaranteed Possibilistic Bases to Rank IDS Alerts. IEA/AIE 2018: 286-291 - [c3]Lydia Bouzar-Benlabiod, Stuart H. Rubin, Lila Méziani:
Randomization-Based Knowledge Discovery with Application to Weather Prediction. IRI 2018: 163-169 - [c2]Lila Méziani, Thouraya Bouabana-Tebibel, Lydia Bouzar-Benlabiod:
From Petri Nets to UML Model: A New Transformation Approach. IRI 2018: 503-510 - 2016
- [c1]Lydia Bouzar-Benlabiod, Lila Méziani, Abdelkrim Chebieb, Nacer-Eddine Rim, Zakaria Mellal:
Experts' Knowledge Merging to Reduce IDS Alerts Number. CTS 2016: 418-423 - 2013
- [j1]Thouraya Bouabana-Tebibel, Lila Méziani:
Object Petri nets marking using UML. Int. J. Comput. Appl. Technol. 47(2/3): 162-171 (2013)
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