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Nourhène Ben Rabah

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2020 – today

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2024
[c10]
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Abir Gorrab, Nourhène Ben Rabah, Bénédicte Le Grand, Rébecca Deneckère, Thomas Bonnerot:
Detecting Signs of Depression in Social Networks Users: A Framework for Enhancing the Quality of Machine Learning Models. AINA (2) 2024: 303-315
[c9]
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Iris Mezieres, Abir Gorrab, Rébecca Deneckère, Nourhène Ben Rabah, Bénédicte Le Grand:
A Systematic Literature Review on Affective Computing Techniques for Workplace Stress Detection - Challenges, Future Directions, from Data Collection to Stress Detection. ICCCI (CCIS Volume 1) 2024: 44-56
[c8]
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Tesnim Khelifi, Nourhène Ben Rabah, Bénédicte Le Grand:
EX-LAD : Un Tableau de Bord Explicable pour l'Analyse de l'Apprentissage dans l'Enseignement Supérieur. INFORSID 2024: 13-14
2023
[p1]
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Nourhène Ben Rabah, Hanen Idoudi:
A Machine Learning Framework for Intrusion Detection in VANET Communications. Emerging Trends in Cybersecurity Applications 2023: 209-227
[i1]
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  - journals/corr/abs-2311-05513
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Edouard Nadaud, Thibault Geoffroy, Tesnim Khelifi, Antoun Yaacoub, Siba Haidar, Nourhène Ben Rabah, Jean-Pierre Aubin, Lionel Prevost, Bénédicte Le Grand:
From Learning Management System to Affective Tutoring system: a preliminary study. CoRR abs/2311.05513 (2023)
2022
[c7]
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Ismehene Chahbi, Nourhène Ben Rabah, Ines Ben Tekaya:
Towards an efficient and interpretable Machine Learning approach for Energy Prediction in Industrial Buildings: A case study in the Steel Industry. AICCSA 2022: 1-8
[c6]
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Tesnim Khelifi, Nourhène Ben Rabah, Ibtissem Daoudi, Bénédicte Le Grand, Farah Barika Ktata:
Intelligent Prediction-Intervention approach to Support Students' Success in Web-based Learning Environments: A Case Study in Higher Education. WI/IAT 2022: 256-262
2021
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Nourhène Ben Rabah, Bénédicte Le Grand, Manuele Kirsch-Pinheiro:
IoT Botnet Detection using Black-box Machine Learning Models: the Trade-off between Performance and Interpretability. WETICE 2021: 101-106
2020
[c4]
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Nourhène Ben Rabah, Ines Ben Tekeya:
A Framework for Classifying Web Attacks While Respecting ML Requirements. AINA 2020: 1461-1473
[c3]
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  - conf/percom/RabahKGJS20
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Nourhène Ben Rabah, Manuele Kirsch-Pinheiro, Bénédicte Le Grand, Ali Jaffal, Carine Souveyet:
Machine Learning for a Context Mining Facility. PerCom Workshops 2020: 1-7

2010 – 2019

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2018
[b1]
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Nourhène Ben Rabah:
Approche intelligente à Base de raisonnement à partir de cas pour le Diagnostic en ligne des SystèMES AutomatiséS de production. (Intelligent Case-based Reasoning Approach for Online Diagnosis of Automated production Systems). University of Reims Champagne-Ardenne, France, 2018
2017
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Nourhène Ben Rabah, Ramla Saddem, Faten Ben Hmida, Véronique Carré-Ménétrier, Moncef Tagina:
Automatic Acquisition and Update of a Causal Temporal Signatures Base- for Faults Diagnosis in Automated Production Systems. ICINCO (1) 2017: 262-269
2014
[c1]
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Nourhène Ben Rabah, Slim Hammadi, Christian Tahon:
Intelligent Regulation Support System for Multimodal Traffic. WI-IAT (3) 2014: 373-380

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