MALLEK SABRINE
Sabrine MALLEK earned her PhD in Computer Science from the University of Tunis and the University of Artois. Previously, she obtained her bachelor degree in Management Computer Science and her master degree in Business intelligence from ISG Tunisia, and her second master degree in Data mining from the Polytechnic School of the University of Nantes. She has been a Research Professor at the University of Artois then at the University of Lorraine. She was also head of service of the HRIS in the energy sector and Business Intelligence consultant in Luxembourg. Her research interests are focused on digital transformation, artificial intelligence and machine learning applications to business, especially in marketing, human resources and finance.
DiplĂŽmes et formations
Postes
Cours enseignés
IntĂȘrets de Recherche
Publications
BAWACK, R., E. BONHOURE, S. MALLEK, “Alexa is the New Influencer: An Empirical Study based on a Relational View” in 29th Americas Conference on Information Systems, AMCIS 2023, August 10-12, 2023, Panama City, Panama
MALLEK, S., “Digitization of Sport and Athletes’ Technostress” in 13th Annual Conference of the European Division of the Decision Sciences Institute (EDSI), Building Resilience for Sustainable Transition, 2023, Nantes, France
MALLEK, S., E. BONHOURE, R. BAWACK, “Voice Assistant Acceptance: A Social Recommender System Perspective” in The 7th Conference for Information & Communication Technologies for Organization & Society, Ethical & Responsible Artificial Intelligence For Sustainable Societies, 2023, Paris, France
MALLEK, S., S. BEN ABDRABBAH, A. BADDREDINE, “Risk Assessment in Industrial Processes : A Recommender-System Approach” in 18th Academy of Innovation, Entrepreneurship, and Knowledge Conference, 2023, Madrid, Spain
MALLEK, S., “The power of AI recommendations” British Data Science Society Meeting. 2023, University of Essex , Colchester, Great Britain
HUO, Q., Y. HUANG, S. KHAN, S. MALLEK, E. WOLANIN, “Employment generation via natural resources: A novel perspective of Dutch disease in the employment market”, Resources Policy, August 2023, vol. 85, no. Part B, pp. 103969
SI MOHAMMED, K., M. TEDESCHI, S. MALLEK, M. TARCZYĆSKA-ĆUNIEWSKA, A. ZHANG, “Realized semi variance quantile connectedness between oil prices and stock market: Spillover from Russian-Ukraine clash”, Resources Policy, June 2023, vol. 85, no. A, pp. 103798
ZHAO, X., S. YUPING, C. MAGAZZINO, M. MADALENO, S. MALLEK, “Multi-step impacts of environmental regulations on green economic growth: Evidence in the lens of natural resource dependence”, Resources Policy, August 2023, vol. 85, no. Part B, pp. 103919
MALLEK, S., S. SABKHA, “Worldwide financial markets’ reactions to the Covid-19 pandemic: A hybrid FIEGARCH-Deep learning approach” in 14th Academy of Innovation, Entrepreneurship, and Knowledge Conference, 2021, Paris, France
SABKHA, S., C. DE PERETTI, S. MALLEK, “Forecasting sovereign CDS volatility: A comparison of univariate GARCH-class models”, Vie et Sciences de l’Entreprise, June 2020, vol. 209, no. 1
MALLEK, S., I. BOUKHRIS, Z. ELOUEDI, E. LEFĂVRE, “Evidential Link Prediction in Social Networks based on Structural and Social Information”, Journal of Computational Science, January 2019, vol. 30, pp. 98-107
MALLEK, S., I. BOUKHRIS, Z. ELOUEDI, E. LEFEVRE, “Evidential Multi-relational Link Prediction Based on Social Content” in ISMIS 2018, 2018, Limassol, Cyprus
MALLEK, S., I. BOUKHRIS, Z. ELOUEDI, E. LEFEVRE, “Evidential Link Prediction in Uncertain Social Networks Based on Node Attributes” in IEA/AIE 2017, 2017, Arras, France
MALLEK, S., I. BOUKHRIS, Z. ELOUEDI, E. LEFEVRE, “Evidential k-NN for Link Prediction” in ISIPTA â17 & ECSQARU 2017, 2017, Lugano, Switzerland
MALLEK, S., I. BOUKHRIS, Z. ELOUEDI, E. LEFEVRE, “An Evidential Method for Multi-relational Link Prediction in Uncertain Social Networks” in IUKM 2016, 2016, Da Nang, Vietnam
MALLEK, S., I. BOUKHRIS, Z. ELOUEDI, E. LEFEVRE, “Evidential Missing Link Prediction in Uncertain Social Networks” in IPMU 2016, 2016, Eindhoven, Netherlands (The)
MALLEK, S., I. BOUKHRIS, Z. ELOUEDI, “Community Detection for Graph-based Similarity: Application to Protein Binding Pockets Classification”, Pattern Recognition Letters, September 2015, vol. 62, pp. 49-54