Zaineb Chelly Dagdia

31 papers B 4C 2Journal 13Unranked 11
YearRankTypeTitle / Venue / Authors
2025 — conf
Fair and Privacy-Preserving Synthetic Data Generation via Clustering-Based Variational Autoencoder and Adversarially Debiased Wasserstein Generative Adversarial Networks with Gradient Penalty.
ECML/PKDD (1)
Malek Adouani, Zaineb Chelly Dagdia
2024 J jnl
Cognitively Inspired Three-Way Decision Making and Bi-Level Evolutionary Optimization for Mobile Cybersecurity Threats Detection: A Case Study on Android Malware.
Cogn. Comput.
Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said
2024 J jnl
Corticosteroid sensitivity detection in sepsis patients using a personalized data mining approach: A clinical investigation.
Comput. Methods Programs Biomed.
Rahma Hellali, Zaineb Chelly Dagdia, Ahmed Ktaish, Karine Zeitouni, Djillali Annane
2024 J jnl
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection.
CoRR
Kodjo Mawuena Amekoe, Mustapha Lebbah, Gregoire Jaffre, Hanene Azzag, Zaineb Chelly Dagdia
2024 J jnl
Exploring accuracy and interpretability trade-off in tabular learning with novel attention-based models.
Neural Comput. Appl.
Kodjo Mawuena Amekoe, Hanane Azzag, Zaineb Chelly Dagdia, Mustapha Lebbah, Gregoire Jaffre
2024 B conf
Federated TimeGAN for Privacy Preserving Synthetic Trajectory Generation.
MDM
Saloua Bouabba, Karine Zeitouni, Bassem Haidar, Nazim Agoulmine, Zaineb Chelly Dagdia
2024 J jnl
Many-objective optimization of wireless sensor network deployment.
Evol. Intell.
Omar Ben Amor, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said
2023 — conf
A New Class of Intelligible Models for Tabular Learning.
PKDD/ECML Workshops (3)
Kodjo Mawuena Amekoe, Hanane Azzag, Mustapha Lebbah, Zaineb Chelly Dagdia, Gregoire Jaffre
2023 C conf
Clustering Corticosteroids Responsiveness in Sepsis Patients using Game-Theoretic Rough Sets.
FedCSIS
Rahma Hellali, Zaineb Chelly Dagdia, Karine Zeitouni
2023 B conf
Immune-Based System to Enhance Malware Detection.
CEC
Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said
2023 — book
Knowledge discovery in databases using novel approaches based on Computational Intelligence. (Contributions en Extraction de Connaissances en utilisant des Nouvelles Approches basées sur l'Intelligence Computationnelle).
Zaineb Chelly Dagdia
2023 J jnl
Self-Reinforcement Attention Mechanism For Tabular Learning.
CoRR
Kodjo Mawuena Amekoe, Mohamed Djallel Dilmi, Hanene Azzag, Mustapha Lebbah, Zaineb Chelly Dagdia, Gregoire Jaffre
2023 B conf
TabSRA: An Attention based Self-Explainable Model for Tabular Learning.
ESANN
Kodjo Mawuena Amekoe, Mohamed Djallel Dilmi, Hanene Azzag, Zaineb Chelly Dagdia, Mustapha Lebbah, Gregoire Jaffre
2022 J jnl
Android malware detection as a Bi-level problem.
Comput. Secur.
Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said
2022 C conf
Malware Evolution and Detection Based on the Variable Precision Rough Set Model.
FedCSIS
Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said
2022 — conf
Towards a Granular Computing Framework for Multiple Aspect Trajectory Representation and Privacy Preservation: Research Challenges and Opportunities.
FedCSIS (Communication Papers)
Zaineb Chelly Dagdia, Vania Bogorny
2021 J jnl
A Detailed Study of the Distributed Rough Set Based Locality Sensitive Hashing Feature Selection Technique.
Fundam. Informaticae
Zaineb Chelly Dagdia, Christine Zarges
2021 J jnl
Biological computation and computational biology: survey, challenges, and discussion.
Artif. Intell. Rev.
Zaineb Chelly Dagdia, Pavel Avdeyev, Md. Shamsuzzoha Bayzid
2021 — conf
Malware Detection Using Rough Set Based Evolutionary Optimization.
ICONIP (5)
Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said
2021 — conf
Towards a Federated Learning Approach for Privacy-aware Analysis of Semantically Enriched Mobility Data.
FRAME@HPDC
Zaineb Chelly Dagdia, Chiara Renso, Karine Zeitouni, Nazim Agoulmine
2020 J jnl
A Hybrid Fuzzy Maintained Classification Method Based on Dendritic Cells.
J. Classif.
Zaineb Chelly Dagdia, Zied Elouedi
2020 J jnl
A scalable and effective rough set theory-based approach for big data pre-processing.
Knowl. Inf. Syst.
Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Mustapha Lebbah
2020 B conf
Automatic Rule Extraction from Access Rules Using Genetic Programming.
EvoApplications
Paloma de las Cuevas, Pablo García-Sánchez, Zaineb Chelly Dagdia, María Isabel García Arenas, Juan Julián Merelo Guervós
2020 J jnl
On the use of artificial malicious patterns for android malware detection.
Comput. Secur.
Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said
2019 J jnl
A scalable and distributed dendritic cell algorithm for big data classification.
Swarm Evol. Comput.
Zaineb Chelly Dagdia
2018 — conf
A Distributed Rough Set Theory Algorithm based on Locality Sensitive Hashing for an Efficient Big Data Pre-processing.
IEEE BigData
Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Hanene Azzag, Mustapha Lebbah
2018 — conf
A distributed dendritic cell algorithm for big data.
GECCO (Companion)
Zaineb Chelly Dagdia
2018 — conf
Distributed Rough Set Based Feature Selection Approach to Analyse Deep and Hand-crafted Features for Mammography Mass Classification.
IEEE BigData
Azam Hamidinekoo, Zaineb Chelly Dagdia, Zobia Suhail, Reyer Zwiggelaar
2018 — conf
Nouveau Modèle de Sélection de Caractéristiques basé sur la Théorie des Ensembles Approximatifs pour les Données Massives.
EGC
Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Mustapha Lebbah
2018 — conf
Rough Set Theory as a Data Mining Technique: A Case Study in Epidemiology and Cancer Incidence Prediction.
ECML/PKDD (3)
Zaineb Chelly Dagdia, Christine Zarges, Benjamin Schannes, Martin Micalef, Lino Galiana, Benoît Rolland, Olivier de Fresnoye, Mehdi Benchoufi
2017 — conf
A distributed rough set theory based algorithm for an efficient big data pre-processing under the spark framework.
IEEE BigData
Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Mustapha Lebbah