Citations (30)
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Sylvia Kairouz, Jean-Michel Costes, W. Spencer Murch, Pascal Doray-Demers, Clément Carrier & Vincent Eroukmanoff. (2023) Enabling New Strategies to Prevent Problematic Online Gambling: A Machine Learning Approach for Identifying At-risk Online Gamblers in France. International Gambling Studies 23:3, pages 471-490.
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Kasra Ghaharian, Brett Abarbanel, Dylan Phung, Piyush Puranik, Shane Kraus, Alan Feldman & Bo Bernhard. (2023) Applications of data science for responsible gambling: a scoping review. International Gambling Studies 23:2, pages 289-312.
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Stephanie Finkenwirth, Kent MacDonald, Xiaolei Deng, Tilman Lesch & Luke Clark. (2021) Using machine learning to predict self-exclusion status in online gamblers on the PlayNow.com platform in British Columbia. International Gambling Studies 21:2, pages 220-237.
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David Forsström, Jonas Rafi & Per Carlbring. (2020) Dropouts’ usage of a responsible gambling tool and subsequent gambling patterns. Cogent Psychology 7:1.
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Michael J. A. Wohl. (2018) Loyalty programmes in the gambling industry: potentials for harm and possibilities for harm-minimization. International Gambling Studies 18:3, pages 495-511.
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Joachim Haeusler. (2016) Follow the money: using payment behaviour as predictor for future self-exclusion. International Gambling Studies 16:2, pages 246-262.
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Christian Percy, Manoel França, Simo Dragičević & Artur d’Avila Garcez. (2016) Predicting online gambling self-exclusion: an analysis of the performance of supervised machine learning models. International Gambling Studies 16:2, pages 193-210.
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Articles from other publishers (23)
W. Spencer Murch, Sylvia Kairouz, Sophie Dauphinais, Elyse Picard, Jean‐Michel Costes & Martin French. (2023) Using machine learning to retrospectively predict self‐reported gambling problems in Quebec. Addiction 118:8, pages 1569-1578.
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Kasra Ghaharian, Brett Abarbanel, Shane W. Kraus, Ashok Singh & Bo Bernhard. (2023) Players Gonna Pay: Characterizing gamblers and gambling-related harm with payments transaction data. Computers in Human Behavior 143, pages 107717.
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Bastien Perrot, Jean-Benoit Hardouin, Elsa Thiabaud, Anaïs Saillard, Marie Grall-Bronnec & Gaëlle Challet-Bouju. (2022) Development and validation of a prediction model for online gambling problems based on players' account data. Journal of Behavioral Addictions 11:3, pages 874-889.
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Anne Fiskaali, Anna Westh Stenbro, Thomas Marcussen & Mette Trøllund Rask. (2022) Preventive Interventions and Harm Reduction in Online and Electronic Gambling: A Systematic Review. Journal of Gambling Studies 39:2, pages 883-911.
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Niklas Hopfgartner, Michael Auer, Mark D. Griffiths & Denis Helic. (2022) Predicting self-exclusion among online gamblers: An empirical real-world study. Journal of Gambling Studies 39:1, pages 447-465.
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David Forsström, Alexander Rozental, Emma Wiklund, Per Carlbring & Philip Lindner. (2021) Gamblers’ Perception of the Playscan Risk Assessment: A Mixed-Methods Study. Journal of Gambling Studies 38:2, pages 591-606.
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Michael Auer & Mark D. Griffiths. (2022) The relationship between structural characteristics and gambling behaviour: An online gambling player tracking study. Journal of Gambling Studies 39:1, pages 265-279.
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Seb Whiteford, Alice E. Hoon, Richard James, Richard Tunney & Simon Dymond. (2022) Quantile regression analysis of in-play betting in a large online gambling dataset. Computers in Human Behavior Reports 6, pages 100194.
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Michael Auer & Mark D. Griffiths. (2019) Predicting Limit-Setting Behavior of Gamblers Using Machine Learning Algorithms: A Real-World Study of Norwegian Gamblers Using Account Data. International Journal of Mental Health and Addiction 20:2, pages 771-788.
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Ivan Ukhov, Johan Bjurgert, Michael Auer & Mark D. Griffiths. (2020) Online Problem Gambling: A Comparison of Casino Players and Sports Bettors via Predictive Modeling Using Behavioral Tracking Data. Journal of Gambling Studies 37:3, pages 877-897.
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Fernando Peres, Enrico Fallacara, Luca Manzoni, Mauro Castelli, Aleš Popovič, Miguel Rodrigues & Pedro Estevens. (2021) Time Series Clustering of Online Gambling Activities for Addicted Users’ Detection. Applied Sciences 11:5, pages 2397.
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Paul Delfabbro & Daniel L. King. (2021) The prevalence of loyalty program use and its association with higher risk gambling in Australia. Journal of Behavioral Addictions 9:4, pages 1093-1097.
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Deepanshi Seth, Sharanya Eswaran, Tridib Mukherjee & Mridul Sachdeva. (2020) A Deep Learning Framework for Ensuring Responsible Play in Skill-based Cash Gaming. A Deep Learning Framework for Ensuring Responsible Play in Skill-based Cash Gaming.
Oliver J. Scholten, David Zendle & James A. Walker. (2020) Inside the decentralised casino: A longitudinal study of actual cryptocurrency gambling transactions. PLOS ONE 15:10, pages e0240693.
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Wonju Seo, Namho Kim, Sang-Kyu Lee & Sung-Min Park. (2020) Machine learning-based analysis of adolescent gambling factors. Journal of Behavioral Addictions 9:3, pages 734-743.
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Michael Auer & Mark D. Griffiths. (2020) The use of personalized messages on wagering behavior of Swedish online gamblers: An empirical study. Computers in Human Behavior 110, pages 106402.
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Gaëlle Challet-Bouju, Jean-Benoit Hardouin, Elsa Thiabaud, Anaïs Saillard, Yann Donnio, Marie Grall-Bronnec & Bastien Perrot. (2020) Modeling Early Gambling Behavior Using Indicators from Online Lottery Gambling Tracking Data: Longitudinal Analysis. Journal of Medical Internet Research 22:8, pages e17675.
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Xiaolei Deng, Tilman Lesch & Luke Clark. (2019) Applying Data Science to Behavioral Analysis of Online Gambling. Current Addiction Reports 6:3, pages 159-164.
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Dejan Mijic & Ervin Varga. (2017) Machine learning driven responsible gaming framework with apache spark. Machine learning driven responsible gaming framework with apache spark.
David Forsström, Markus Jansson-Fröjmark, Hugo Hesser & Per Carlbring. (2017) Experiences of Playscan: Interviews with users of a responsible gambling tool. Internet Interventions 8, pages 53-62.
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Raoul Bitar, Carlos Nordt, Martin Grosshans, Marcus Herdener, Erich Seifritz & Jochen Mutschler. (2017) Telecommunications Network Measurements of Online Gambling Behavior in Switzerland: A Feasibility Study. European Addiction Research 23:2, pages 106-112.
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David Forsström, Hugo Hesser & Per Carlbring. (2016) Usage of a Responsible Gambling Tool: A Descriptive Analysis and Latent Class Analysis of User Behavior. Journal of Gambling Studies 32:3, pages 889-904.
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Nerilee Hing, Alex M. T. Russell, Peter Vitartas & Matthew Lamont. (2015) Demographic, Behavioural and Normative Risk Factors for Gambling Problems Amongst Sports Bettors. Journal of Gambling Studies 32:2, pages 625-641.
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