Research Publications

23 peer-reviewed papers in AI, NLP, and Machine Learning with 200+ citations. Research spanning evidence theory, social network analysis, computer vision, and document intelligence.

23 Publications
200+ Citations
8 h-index
7 i10-index
66 Top Citation
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Showing 23 publications from 2013 to 2024

Top Cited Works

#1 • 66 Citations
Two evidential data based models for influence maximization in Twitter
Knowledge-Based Systems, 2017
66 citations
#2 • 51 Citations
Advancing automatic plant classification system in Saudi Arabia
Modeling Earth Systems and Environment, 2024
51 citations
#3 • 23 Citations
Evidential positive opinion influence measures for viral marketing
Knowledge and Information Systems, 2020
23 citations

PhD Dissertation

Influencers characterization in a social network for viral marketing perspectives
6
S Jendoubi
PhD Dissertation, University of Rennes I & University of Tunis, 2016
Comprehensive research on influencer characterization and influence maximization in social networks using evidence theory. Developed novel models for identifying key influencers and maximizing information spread in viral marketing campaigns. This work forms the foundation of my research in social network analysis and evidence theory applications.
Full Thesis PDF
Evidence Theory

Filter by Research Area

All Publications (23) Social Networks (9) Evidence Theory (10) Computer Vision (5) NLP & AI (6) Clustering (3) HMM Models (2)
2024 1 publication • 51 citations
Advancing automatic plant classification system in Saudi Arabia: introducing a novel dataset and ensemble deep learning approach
51
E Amri, Y Gulzar, A Yeafi, S Jendoubi, F Dhawi, MS Mir
Modeling Earth Systems and Environment, 2024
Introduced a novel ensemble deep learning approach for plant classification using multimodal data from Saudi Arabia, advancing automatic species recognition systems with state-of-the-art accuracy.
Computer Vision Deep Learning Ensemble Methods
2023 3 publications • 8 citations
Dynamic named entity recognition
6
T Luiggi, V Guigue, L Soulier, S Jendoubi, A Baelde
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
Advanced NER system adapting to evolving entity types in financial documents, with applications in dynamic document processing and real-time information extraction.
NLP Named Entity Recognition
SSFuzzyART: A Semi-Supervised Fuzzy ART through seeding initialization and a clustered data generation algorithm to deeply study clustering solutions
2
S Jendoubi, A Baelde, T Tran
Array, 2023
Novel semi-supervised clustering algorithm with seeding initialization and controlled data generation for in-depth study of clustering solutions.
Clustering Semi-Supervised Learning
SSFuzzyART: A Semi-Supervised Fuzzy ART Through Seeding Initialization
S Jendoubi, A Baelde
International Conference on Information Processing and Management of Uncertainty (IPMU), 2022
Clustering Fuzzy ART
2022 3 publications
A Table Extraction Solution for Financial Spreading
DT Ta, S Jendoubi, A Baelde
International Conference on Database and Expert Systems Applications (DEXA), 2022
Automated extraction system for financial tables with high structural accuracy, applied to financial document processing and data spreading applications.
Document Intelligence Table Extraction
A Table Extraction Solution for Financial Spreading
DT Ta, S Jendoubi, A Baelde
Database and Expert Systems Applications - DEXA 2022 Workshops
Document Processing Financial AI
Check for updates: A Table Extraction Solution for Financial Spreading
DT Ta, S Jendoubi, A Baelde
DEXA 2022 Workshops
Information Extraction
2021 2 publications
Génération de données binaires groupées à partitionnement contrôlé et évaluation de l'impact
S Jendoubi, AB Mamou
Extraction et Gestion des Connaissances: Actes EGC'2021
Clustering Data Generation
Génération de données binaires groupées à partitionnement contrôlé et évaluation de l'impact des méthodes de réduction de dimension sur ce partitionnement
S Jendoubi, AB Mamou, A Baelde
EGC 2021
Clustering Dimensionality Reduction
2020 2 publications • 32 citations
Evidential positive opinion influence measures for viral marketing
23
S Jendoubi, A Martin
Knowledge and Information Systems, 2020
Developed evidential measures to quantify positive influence in marketing campaigns, improving targeting accuracy and ROI in social network marketing.
Evidence Theory
Evidential two-step tree species recognition approach from leaves and bark
9
S Jendoubi, D Coquin, R Boukezzoula
Expert Systems with Applications, 2020
Multimodal fusion approach combining leaf and bark features for tree species recognition, improving recognition rates by 20% over existing solutions through evidence theory combination.
Computer Vision Evidence Theory Multimodal Fusion
2019
Fusion multimodale pour la reconnaissance des espèces d'arbres à partir des feuilles et des écorces
S Jendoubi, D Coquin, R Boukezzoula
LFA'19, 28ème Rencontres Francophones sur la Logique Floue et ses Applications
Computer Vision Multimodal Fusion
2018 3 publications • 6 citations
An Evidential k-nearest Neighbors Combination Rule for Tree Species Recognition
3
S Jendoubi, D Coquin, R Boukezzoula
International Conference on Belief Functions, 2018
Computer Vision Evidence Theory
Evidential independence maximization on twitter network
2
S Jendoubi, M Chebbah, A Martin
International Conference on Belief Functions, 2018
Evidence Theory
K-NN crédibiliste pour la reconnaissance automatique des espèces d'arbres
1
S Jendoubi, D Coquin, R Boukezzoula
LFA 2018 - Rencontres francophones sur la Logique Floue et ses Applications
Computer Vision Evidence Theory
2017 2 publications • 69 citations
Two evidential data based models for influence maximization in Twitter
66 Top
S Jendoubi, A Martin, L Liétard, HB Hadji, BB Yaghlane
Knowledge-Based Systems, 2017
Introduced evidence theory-based models for identifying key influencers in social networks, significantly improving accuracy over traditional methods for viral marketing applications. The approach combines evidential reasoning with social network analysis.
DOI Link PDF
Evidence Theory
A reliability-based approach for influence maximization using the evidence theory
3
S Jendoubi, A Martin
International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), 2017
Evidence Theory
2016 1 publication • 14 citations
Maximizing positive opinion influence using an evidential approach
14
S Jendoubi, A Martin, L Liétard, HB Hadji, BB Yaghlane
Uncertainty Modelling in Knowledge Engineering and Decision Making, 2016
Evidence Theory
2015 1 publication • 14 citations
Dynamic time warping distance for message propagation classification in twitter
14
S Jendoubi, A Martin, L Liétard, B Ben Yaghlane, H Ben Hadji
European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU), 2015
Applied dynamic time warping for classifying message propagation patterns in Twitter, combining temporal analysis with social network dynamics.
Time Series Analysis
2014 2 publications • 24 citations
Classification of message spreading in a heterogeneous social network
16
S Jendoubi, A Martin, L Liétard, B Ben Yaghlane
International Conference on Information Processing and Management of Uncertainty (IPMU), 2014
Early work on modeling and classifying information propagation patterns in heterogeneous social networks, forming the basis for later influence maximization research.
Information Propagation
Second-order belief hidden markov models
8
J Park, M Chebbah, S Jendoubi, A Martin
International Conference on Belief Functions, 2014
Advanced hidden Markov models incorporating second-order belief functions for improved uncertainty modeling in sequential data.
HMM Models Evidence Theory
2013 1 publication • 8 citations
Belief hidden Markov model for speech recognition
8
S Jendoubi, BB Yaghlane, A Martin
5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), 2013
Early application of belief functions to hidden Markov models for speech recognition, demonstrating improved handling of uncertainty in audio signal processing.
HMM Models Speech Recognition Evidence Theory

Conference Participation

IPMU DaWaK DEXA Belief Functions ECSQARU EGC ACM/SIGAPP SAC ICMSAO LFA

Research Evolution

2013-2016

PhD Focus: Evidence Theory & Social Networks

2017-2019

Postdoc: Computer Vision & Multimodal AI

2020-Present

Industry: NLP, Document Intelligence & GenAI

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