Publications

My career publications include Journal papers, Book chapters, refereed and ranked Conference proceedings papers (all presented orally), Seminar proceedings papers & Press articles:

-- (Citations: 437 - h-index: 12) based on Google Scholar [09.01.2023] --

The full list of publications can be found here: [link]

Previous publications (extract - not the latest):

Journal Papers:

  • Ben Amor, Omar, Zaineb Chelly Dagdia, Slim Bechikh, and Lamjed Ben Said. "Many-objective optimization of wireless sensor network deployment." Evolutionary Intelligence (2022): 1-17.

  • Zaineb Chelly Dagdia & Ana Cristina Simões E Silva, “Effects of COVID-19 pandemic on education and society”. STEM Education, 2,3,197,220, (2022)

  • Mkaouer, Mohamed Wiem, Tarek Gaber, Zaineb Chelly Dagdia, and ISG LARODEC. "Effects of COVID-19 pandemic on computational intelligence and cybersecurity: survey." Applied Computing and Intelligence 2, no. 2 (2022): 173-194.

  • Jerbi, Manel, Zaineb Chelly Dagdia, Slim Bechikh, and Lamjed Ben Said. "Android malware detection as a bi-level problem." Computers & Security 121 (2022): 102825.

  • Zaineb Chelly Dagdia, Md Shamsuzzoha Bayzid & Pavel Avdeyev, “Biological computation and computational biology: survey, challenges, and discussion”. Artificial Intelligence Review, 54(6): 4169-4235 (2021).

  • Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Mohamed Makhlouf & Lamjed Ben Said, “On the Use of Artificial Malicious Patterns for Android Malware Detection”. Journal of Computers & Security: Article 101743 (2020).

  • Zaineb Chelly Dagdia & Zied Elouedi, “A Hybrid Fuzzy Maintained Classification Method Based on Dendritic Cells”. Journal of Classification: 1-24 (2019).

  • Zaineb Chelly Dagdia, “A Mobile Health Application Based on a Fuzzy QoS Web Service Component”. Journal of Network and Innovative Computing: 7(1): 41-47 (2019).

  • Zaineb Chelly Dagdia, “A scalable and distributed dendritic cell algorithm for big data classification”. Swarm and Evolutionary Computation Journal. 50: 1-13 (2019).

  • Zeineb Chelly & Zied Elouedi, “From the General to the Specific: Inducing a Novel Dendritic Cell Algorithm from a Detailed State-of-the-Art Review”. International Journal of Pattern Recognition and Artificial Intelligence, IJPRAI 30(3): 1-31 (2016).

  • Zeineb Chelly & Zied Elouedi, “A Survey of the Dendritic Cell Algorithm”. Knowledge and Information Systems, KAIS 48(3): 505-535 (2016).

  • Zeineb Chelly & Zied Elouedi, “Hybridization schemes of the fuzzy dendritic cell immune binary classifier based on different fuzzy clustering techniques”. New Generation Computing, Springer 33(1): 1-31 (2015).

Book chapters:

  • Zaineb Chelly Dagdia & Miroslav Mirchev, “When Evolutionary Computing meets Astro- and Geo- Informatics”. Knowledge Discovery in Big Data from Astronomy and Earth Observation (AstroGeoInformatics), 1st Edition, eBook ISBN: 9780128191552, Elsevier. 2020.

  • Juan Julian Merelo Guervos, Federico Liberatore, Antonio Fernandez-Ares, Ruben Hector Garcia-Ortega, Zeineb Chelly, Carlos Cotta, Nuria Rico, Antonio Mora Garcia, Pablo Garcia-Sanchez, Alberto Paolo Tonda, Paloma de las Cuevas & Pedro A. Castillo, “The Uncertainty Quandary: A Study in the Context of the Evolutionary Optimization in Games and Other Uncertain Environments”. Transactions on Computational Collective Intelligence, CCI 24: 40-60 (2016).

  • J.J. Merelo, Zeineb Chelly, Antonio Mora, Antonio Fernandez-Ares, Anna I. Esparcia-Alcazar, Carlos Cotta, P. de las Cuevas & Nuria Rico, “A Statistical Approach to Dealing with Noisy Fitness in Evolutionary Algorithms”. Studies in Computational Intelligence, Springer, pp 79-95 (2016)

  • Paloma de Las Cuevas Delgado, Zeineb Chelly, Antonio Mora Garcia, Juan Julian Merelo Guervos & Anna Esparcia-Alcazar, “An Improved Decision System for URL Accesses Based on a Rough Feature Selection Technique”. Recent Advances in Computational Intelligence in Defense and Security, Springer, pp 139-167 (2016).

International Conferences:

  • Zaineb Chelly Dagdia, Vania Bogorny, “Towards a Granular Computing Framework for Multiple Aspect Trajectory Representation and Privacy Preservation: Research Challenges and Opportunities”, 17th Conference on Computer Science and Intelligence Systems (FedCSIS 2022).

  • Jerbi, Manel, Zaineb Chelly Dagdia, Slim Bechikh, and Lamjed Ben Said. "Malware Evolution and Detection Based on the Variable Precision Rough Set Model." In 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS), pp. 253-262. IEEE, 2022.

  • Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, & Lamjed Ben Said, “Malware Detection Using Rough Set Based Evolutionary Optimization”, Proceedings of the 28th International Conference on Neural Information Processing, ICONIP'2021, Bali, Indonisia, Springer, pp. 634-641.

  • Zaineb Chelly Dagdia, Chiara Renso, Karine Zeitouni, & Nazim Agoulmine, “Towards a Federated Learning Approach for Privacy-aware Analysis of Semantically Enriched Mobility Data”, 1st workshop on Flexible Resource and Application Management on the Edge, FRAME@HPDC 2021, pp. 17-20 (online).

  • Paloma de las Cuevas, Pablo Garcia-Sanchez, Zaineb Chelly Dagdia, Maria Isabel Garcia-Arenas & Juan Julian Merelo, “Automatic rule extraction using Genetic Programming in a ``Bring Your Own Device'' scenario”. The Leading European Event on Bio‑Inspired Computation, EVOSTAR’2020 (To appear).

  • Zaineb Chelly Dagdia, Christine Zarges, Gael Beck, Hanene Azzag and Mustapha Lebbah, “A Distributed Rough Set Theory Algorithm based on Locality Sensitive Hashing for an Efficient Big Data Pre-processing”. Proceedings of the IEEE Big Data Conference, Proceedings of the IEEE Big Data Conference, BigData'2018, Seattle, USA, IEEE, pp. 2597-2606.

  • Azam Hamidinekoo, Zaineb Chelly Dagdia, Zobia Suhail and Reyer Zwiggelaar, “Distributed Rough Set Based Feature Selection Approach to Analyse Deep and Hand-crafted Features for Mammography Mass Classification”, Proceedings of the IEEE Big Data Conference, BigData'2018, Seattle, USA, IEEE, pp. 2423-2432.

  • Zaineb Chelly Dagdia, Christine Zarges, Benjamin Schannes, Martin Micalef, Lino Galiana, Benoit Rolland, Olivier de Fresnoye, and Mehdi Benchoufi, “Rough Set Theory as a Data Mining Technique: A Case Study in Epidemiology and Cancer Incidence Prediction”, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML’2018, Dublin, Ireland, Springer, pp. 440-455.

  • Zaineb Chelly Dagdia, “A Distributed Dendritic Cell Algorithm for Big Data”, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO’2018, Kyoto, Japan, ACM, pp. 103-104.

  • Zaineb Chelly Dagdia, Christine Zarges, Gael Beck and Mustapha Lebbah, “Modèle de Sélection de Caractéristiques pour les Données Massives”, Proceedings of the 15ème édition de l’atelier Fouille de Données Complexes, FDC’2018, Paris, France, pp. 1-12.

  • Zaineb Chelly Dagdia, Christine Zarges, Gael Beck and Mustapha Lebbah, “Nouveau Modèle de Sélection de Caractéristiques basé sur la Théorie des Ensembles Approximatifs pour les Données Massives”, Proceedings of the 18ème édition de la conférence internationale francophone Extraction et Gestion de Connaissances, EGC’2018, Paris, France, pp 377-378.

  • Zaineb Chelly Dagdia, Christine Zarges, Gael Beck & Mustapha Lebbah, "A Distributed Rough Set Theory based Algorithm for an Efficient Big Data Pre-processing under the Spark Framework”. Proceedings of the IEEE Big Data Conference, BigData'2017, Boston, USA, IEEE, pp 911-916 .

  • Zeineb Chelly, “Data Pre-processing Based on Rough Sets and the Link to Other Theories”. Proceedings of the Second International Afro-European Conference for Industrial Advancement, AECIA'2016, Villejuif, France, Springer, pp 5-7.

  • Kaouther Ben Ali, Zeineb Chelly & Zied Elouedi, “A New Version of the Dendritic Cell Immune Algorithm based on the K-Nearest Neighbors”. Proceedings of the 22th International Conference on Neural Information Processing, ICONIP'2015, Istanbul, Turkey, Springer, pp 688-695.

  • Juan J. Merelo, Federico Liberatore, Antonio Fernandez-Ares, Ruben Hector Garcia-Ortega, Zeineb Chelly, Carlos Cotta, Nuria Rico, Antonio Miguel Mora & Pablo Garcia-Sanchez, “There is Noisy Lunch: A Study of Noise in Evolutionary Optimization Problems”. Proceedings of Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015) - Volume 1: ECTA, Lisbon, Portugal, pp 261-268.

  • Zeineb Chelly & Zied Elouedi, “A Study of the Data Pre-Processing Module of the Dendritic Cell Evolutionary Algorithm”. Proceedings of the 2nd International Conference on Control, Decision and Information Technologies, Codit’2014, Metz, France, pp. 634-639, IEEE.

  • Zeineb Chelly & Zied Elouedi, “A two-leveled hybrid dendritic cell algorithm under imprecise reasoning”. Proceedings of the Genetic and Evolutionary Computation Conference, GECCO’2014, Vancouver, Canada, pp. 97-104, ACM.

  • Zeineb Chelly & Zied Elouedi, “A Rough Information Extraction Technique for the Dendritic Cell Algorithm within Imprecise Circumstances”. Proceedings of the 8th Hellenic Conference on Artificial Intelligence, SETN’2014, Ioannina, Greece, pp. 43-56, Springer.

  • Zeineb Chelly & Zied Elouedi, “Improving the dendritic cell algorithm performance using fuzzy-rough set theory as a pattern discovery technique”. Proceedings of the 5th International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA’2014, Ostrava, Czech Republic, pp. 23-32, Springer.

  • Mohamed Amine Ben Yahmed, Mohamed Amine Bounenni, Zeineb Chelly & Amir Jlassi, “New Mobile Health Application for an Ubiquitous Information System”, Proceedings of the 6th Joint IFIP Wireless and Information System, WMNC’2013, Dubai, United Arab Emirates, pp. 1- 4, IEEE.

  • Zeineb Chelly & Zied Elouedi, “A New Hybrid Fuzzy-Rough Dendritic Cell Immune Classifier”, Proceedings of the 4th International Conference on Swarm Intelligence, IC-SI’2013, Harbin, China, pp. 514-521, Springer.

  • Zeineb Chelly & Zied Elouedi, “A New Data Pre-processing Approach for the Dendritic Cell Algorithm Based on Fuzzy Rough Set Theory”, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO’2013, Amsterdam, Netherlands, pp. 163 – 164, ACM.

  • Zeineb Chelly & Zied Elouedi, “A Fuzzy-Rough Data Pre-processing Approach for the Dendritic Cell Classifier”, Proceedings of the 12th European Conference on Symbolic and Qualitative Approaches to Reasoning with Uncertainty, ECSQARU’2013, Utrecht, Netherlands, pp. 109 – 120, Springer.

  • Zeineb Chelly & Zied Elouedi, “QR-DCA: A New Rough Data Pre-processing Approach for the Dendritic Cell Algorithm”, Proceedings of the 11th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA’2013, Lausanne, Switzerland, pp. 140-150, Springer.

  • Zeineb Chelly & Zied Elouedi, “Supporting Fuzzy-Rough Sets in the Dendritic Cell Algorithm Data Pre-processing Phase”, Proceedings of the 20th International Conference on Neural Information Processing, ICONIP’2013, Daegu, South Korea, pp. 164-171, Springer.

  • Zeineb Chelly & Zied Elouedi, “Further Exploration of the Hybrid Fuzzy-Rough Dendritic Cell Immune Classifier Phase”, Proceedings of the 4th, IEEE International Conference on E-Health and Bioengineering, EHB’2013, Iasi, Romania, pp. 1- 4, IEEE.

  • Zeineb Chelly, Abir Smiti & Zied Elouedi, “COID-FDCM: The Fuzzy Maintained Dendritic Cell Classification Method”, Proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC’2012, Zakopane, Poland, pp. 233-241, Springer.

  • Zeineb Chelly & Zied Elouedi, “RC-DCA: A New Feature Selection and Signal Categorization Technique for the Dendritic Cell Algorithm Based on Rough Set Theory”, Proceedings of the 11th International Conference of Artificial Immune Systems, ICARIS’2012, Taormina, Sicily, Italy, pp. 152-165, Springer.

  • Zeineb Chelly & Zied Elouedi, “RST-DCA: A Dendritic Cell Algorithm Based on Rough Set Theory”, Proceedings of the 19th International Conference on Neural Information Processing, ICONIP’2012, Doha, Qatar, pp. 480-487, Springer.

  • Zeineb Chelly & Zied Elouedi, “Further Exploration of the Fuzzy Dendritic Cell Method”, Proceedings of the 10th International Conference of Artificial Immune Systems, ICARIS’2011, Cambridge, England, UK, pp. 419-432, Springer.

  • Zeineb Chelly & Zied Elouedi, “FDCM: A Fuzzy Dendritic Cell Method”, Proceedings of the 9th International Conference of Artificial Immune Systems, ICARIS’2010, Edinburgh, Scotland, UK, pp. 102-115, Springer.

Seminar Proceedings:

  • Zaineb Chelly Dagdia, “Optimized Framework based on Rough Set Theory for Big Data Preprocessing in Certain and Imprecise Contexts”, Proceedings of The 5th MCAA Annual Conference and General Assembly, Leuven, Belgium [link].

  • Zaineb Chelly Dagdia, “Optimized Framework based on Rough Set Theory for Big Data Pre-processing in Certain and Imprecise Contexts” -- Marie Sklodowska-Curie Project: Open Problems’. Dagstuhl Seminar 17381, Recent Trends in Knowledge Compilation, Dagstuhl, Germany [http://dx.doi.org/10.4230/DagRep.7.9.62].

Press Articles:

PhD. in Computer Science

Title: "New Danger Theory Classification Methods in an Imprecise Frameworky". University of Tunis, High institute of management of Tunis, Tunisia. PhD.pdf

Year: 2014

Supervisor: Zied Elouedi

Jury Members:

  1. Nahla BEN AMOR (President)

  2. Talel LADHARI (Examiner)

  3. Salah BENABDALLAH (Examiner)

  4. Lamia LABED JILANI (Member)

Obtained with honourable distinction.

MSs. in Computer Science

Title: "Handling Imprecision in Danger Theory using Fuzzy Set Theory: A Fuzzy Dendritic Cell Method". University of Tunis, High institute of management of Tunis, Tunisia. MSc.pdf

Year: 2010

Supervisor: Zied Elouedi

Jury Members:

  1. Rym. Faiz (President)

  2. Nadia Essoussi (Examiner)

Obtained with honourable distinction.

BSc. in Computer Science

Title: "Modelling and Development of a Fuzzy Expert System to Control Products Quality". University of Carthage, Faculty of Economic and Management of Nabeul (FSEGN), Tunisia. BSc Report.pdf

Year: 2008

Supervisor: Faten Rouai

Examiner: Chokri Boussetta

Obtained with honourable distinction.