Lydia Bouzar-Benlabiod

发表

Randomization-Based Knowledge Discovery with Application to Weather Prediction

Stuart Harvey Rubin, Lydia Bouzar-Benlabiod, Meziani Lila, 2018, 2018 IEEE International Conference on Information Reuse and Integration (IRI).

From Petri Nets to UML: A New Approach for Model Analysis

Thouraya Bouabana-Tebibel, Stuart H. Rubin, Lydia Bouzar-Benlabiod, 2017 .

A New Approach for QCL-Based Alert Correlation Process

Thouraya Bouabana-Tebibel, Salem Benferhat, Lydia Bouzar-Benlabiod, 2013, Modeling Approaches and Algorithms for Advanced Computer Applications.

Integrating security operator knowledge and preferences to the alert correlation process

Salem Benferhat, Lydia Bouzar-Benlabiod, Thouraya Boubana-Tebibel, 2010, 2010 International Conference on Machine and Web Intelligence.

Heuristic Acquisition for Data Science

Stuart Harvey Rubin, Lydia Bouzar-Benlabiod, 2020, Inf. Syst. Frontiers.

Merging Guaranteed Possibilistic Bases to Rank IDS Alerts

Lydia Bouzar-Benlabiod, Lila Méziani, Nacer-Eddine Rim, 2018, IEA/AIE.

Guest Editorial: Recent Trends in Reuse and Integration

Thouraya Bouabana-Tebibel, Stuart Harvey Rubin, Lydia Bouzar-Benlabiod, 2019, Inf. Syst. Frontiers.

A case-based reasoning system for supervised classification problems in the medical field

Thouraya Bouabana-Tebibel, Stuart H. Rubin, Lydia Bouzar-Benlabiod, 2020, Expert Syst. Appl..

Instantiated First Order Qualitative Choice Logic for an efficient handling of alerts correlation

Thouraya Bouabana-Tebibel, Salem Benferhat, Lydia Bouzar-Benlabiod, 2015, Intell. Data Anal..

Variational Encoder-Decoder Recurrent Neural Network (VED-RNN) for Anomaly Prediction in a Host Environment

Stuart Harvey Rubin, Lydia Bouzar-Benlabiod, Kahina Belaidi, 2019, 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI).

Experts' Knowledge Merging to Reduce IDS Alerts Number

Lydia Bouzar-Benlabiod, Abdelkrim Chebieb, Lila Méziani, 2016, 2016 International Conference on Collaboration Technologies and Systems (CTS).

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

Stuart Harvey Rubin, Lydia Bouzar-Benlabiod, 2019, 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI).

Knowledge Amplification Using Randomization in Case-Based Reasoning -- Case Study: Severity of Mammography Mass

Thouraya Bouabana-Tebibel, Stuart Harvey Rubin, Lydia Bouzar-Benlabiod, 2018, 2018 IEEE International Conference on Information Reuse and Integration (IRI).

From Petri Nets to UML Model: A New Transformation Approach

Thouraya Bouabana-Tebibel, Lydia Bouzar-Benlabiod, Lila Méziani, 2018, 2018 IEEE International Conference on Information Reuse and Integration (IRI).

Knowledge-Based Randomization for Amplification

Thouraya Bouabana-Tebibel, Stuart Harvey Rubin, Lydia Bouzar-Benlabiod, 2018, 2018 IEEE International Conference on Information Reuse and Integration (IRI).

Comparing and Weakening Possibilistic Knowledge Bases

Thouraya Bouabana-Tebibel, Salem Benferhat, Lydia Bouzar-Benlabiod, 2014, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

An efficient QCL-based alert correlation process

Thouraya Bouabana-Tebibel, Salem Benferhat, Lydia Bouzar-Benlabiod, 2013, SEKE.

Optimizing Deep Neural Network Architectures: an overview

Stuart Harvey Rubin, Lydia Bouzar-Benlabiod, Amel Benaida, 2021, 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI).