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INFANTI Alexandre

ORCID
0000-0002-7023-0712
Main Referenced Co-authors
Billieux, Joël (9)
Baggio, Stéphanie (5)
VÖGELE, Claus  (5)
Vögele, Claus (4)
Flayelle, Maèva (3)
Main Referenced Keywords
COVID-19 (3); cyberchondria (3); machine learning (3); Clinical Psychology (2); Gaming disorder (2);
Main Referenced Disciplines
Social & behavioral sciences, psychology: Multidisciplinary, general & others (6)
Neurosciences & behavior (4)

Publications (total 10)

The most downloaded
732 downloads
INFANTI, A., Starcevic, V., Schimmenti, A., Khazaal, Y., Karila, L., Giardina, A., Flayelle, M., Baggio, S., Vögele, C., & Billieux, J. (2022). Predictors of cyberchondria during the COVID-19 pandemic: A supervised machine learning approach. Journal of Behavioral Addictions, 73. doi:10.1556/2006.2022.00700 https://hdl.handle.net/10993/54553

The most cited

21 citations (OpenAlex)

INFANTI, A., Valls-Serrano, C., Perales, J. C., Vögele, C., & Billieux, J. (December 2023). Gaming passion contributes to the definition and identification of problematic gaming. Addictive Behaviors, 147, 107805. doi:10.1016/j.addbeh.2023.107805 https://hdl.handle.net/10993/58129

Gómez Bravo, R., INFANTI, A., Billieux, J., Ritzen, M., Nischwitz, S., Erhardt, A., Staub, T., Huber, C. G., Lang, U., Weidt, S., Wolff, K., Müller, J., VÖGELE, C.* , & Benoy, C.*. (2025). Unmasking the Psychological Landscape of Long COVID: A Cluster-analytical Approach. Biopsychosocial science and medicine. doi:10.1097/PSY.0000000000001380
Peer reviewed
* These authors have contributed equally to this work.

INFANTI, A. (2024). The use of machine learning to improve the identification and assessment of internet-related disorders [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/61507

INFANTI, A., Valls-Serrano, C., Perales, J. C., Vögele, C., & Billieux, J. (December 2023). Gaming passion contributes to the definition and identification of problematic gaming. Addictive Behaviors, 147, 107805. doi:10.1016/j.addbeh.2023.107805
Peer Reviewed verified by ORBi

Fischer, V. J., Andersson, G., Billieux, J., INFANTI, A., & Vögele, C. (2023). The Role of Emotion Regulation Strategies for Sexual Function and Mental Health: A Cluster Analytical Approach. Journal of Sex and Marital Therapy, 1 - 14. doi:10.1080/0092623X.2023.2264863
Peer Reviewed verified by ORBi

Gómez Bravo, R., INFANTI, A., Billieux, J., Ritzen, M., Vögele, C., & Benoy, C. (22 August 2023). The psychological syndrome associated with Long-COVID: A study protocol. Frontiers in Epidemiology, 3. doi:10.3389/fepid.2023.1193369
Peer reviewed

INFANTI, A., Starcevic, V., Schimmenti, A., Khazaal, Y., Karila, L., GIARDINA, A., Flayelle, M., Hedayatzadeh Razavi, S. B., Baggio, S., Vögele, C., & Billieux, J. (25 April 2023). Predictors of Cyberchondria During the COVID-19 Pandemic: Cross-sectional Study Using Supervised Machine Learning. JMIR Formative Research, 7, 42206. doi:10.2196/42206
Peer Reviewed verified by ORBi

INFANTI, A., Starcevic, V., Schimmenti, A., Khazaal, Y., Karila, L., Giardina, A., Flayelle, M., Baggio, S., Vögele, C., & Billieux, J. (2022). Predictors of cyberchondria during the COVID-19 pandemic: A supervised machine learning approach. Journal of Behavioral Addictions, 73. doi:10.1556/2006.2022.00700
Peer Reviewed verified by ORBi

INFANTI, A., Starcevic, V., Schimmenti, A., Khazaal, Y., Karila, L., Giardina, A., Flayelle, M., Baggio, S., Vögele, C., & Billieux, J. (31 May 2022). Les prédicteurs de la cyberchondrie durant la pandémie de Covid-19 : Une approche en apprentissage automatique supervisé [Paper presentation]. Colloque GREPACO (Groupe de Réflexion en Psychopathologie Cognitive), Lausanne, Switzerland.

INFANTI, A., Vögele, C., Deleuze, J., Baggio, S., & Billieux, J. (01 June 2021). Évaluation de la validité des critères du Trouble lié au Jeu Vidéo en ligne selon le DSM-5 : Une approche en “Machine Learning” [Paper presentation]. Colloque GREPACO (Groupe de Réflexion en Psychopathologie Cognitive). Addictions : Diversité des pratiques et des approches.

INFANTI, A., Vögele, C., Deleuze, J., Baggio, S., & Billieux, J. (21 May 2021). Assessing the clinical utility of the DSM-5 internet gaming disorder criteria by using supervised machine learning [Poster presentation]. DTU DRIVEN Colloquium, University of Luxembourg, Luxembourg.

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