Citations (24)
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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, Shane W. Kraus, Ashok Singh & Bo Bernhard. (2023) Evaluating the generalizability of payment behavioral profiles across gambling brands. International Gambling Studies 0:0, pages 1-18.
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André Syvertsen, Tony Leino, Ståle Pallesen, Otto R.F. Smith, Rune A. Mentzoni, Mark D. Griffiths & Eilin K. Erevik. (2023) Age and gender differences in gambling intensity in a Norwegian population of electronic gaming machine players. International Gambling Studies 0:0, pages 1-21.
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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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Lucas Palmer, Natalie Cringle & Luke Clark. (2022) A scoping review of experimental manipulations examining the impact of monetary format on gambling behaviour. International Gambling Studies 22:3, pages 499-521.
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Timothy C. Edson, Matthew A. Tom, Eric R. Louderback, Sarah E. Nelson & Debi A. LaPlante. (2022) Returning to the virtual casino: a contemporary study of actual online casino gambling. International Gambling Studies 22:1, pages 114-141.
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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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Articles from other publishers (16)
Paul Delfabbro, Jonathan Parke & Maris Catania. (2023) Behavioural Tracking and Profiling Studies Involving Objective Data Derived from Online Operators: A Review of the Evidence. Journal of Gambling Studies.
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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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Michael Auer, Neven Ricijas, Valentina Kranzelic & Mark D. Griffiths. (2023) Development of the Online Problem Gaming Behavior Index: A New Scale Based on Actual Problem Gambling Behavior Rather Than the Consequences of it. Evaluation & the Health Professions, pages 016327872311794.
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Piyush Puranik, Kazem Taghva & Kasra Ghaharian. 2023. Proceedings of the Second International Conference on Innovations in Computing Research (ICR’23). Proceedings of the Second International Conference on Innovations in Computing Research (ICR’23)
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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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Michael Auer & Mark D. Griffiths. (2022) Using artificial intelligence algorithms to predict self-reported problem gambling with account-based player data in an online casino setting. Journal of Gambling Studies 39:3, pages 1273-1294.
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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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Nathan Lakew. (2021) “Show Me the Money”: Preliminary Lessons from an Implementation of Intervention Tools at the Payment Gateway Level. Journal of Gambling Studies 38:1, pages 297-317.
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Maris Catania & Mark D. Griffiths. (2021) Applying the DSM-5 Criteria for Gambling Disorder to Online Gambling Account-Based Tracking Data: An Empirical Study Utilizing Cluster Analysis. Journal of Gambling Studies 38:4, pages 1289-1306.
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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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Maris Catania & Mark D. Griffiths. (2021) Understanding Online Voluntary Self-Exclusion in Gambling: An Empirical Study Using Account-Based Behavioral Tracking Data. International Journal of Environmental Research and Public Health 18:4, pages 2000.
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Anders Håkansson & Carolina Widinghoff. (2020) Gambling Despite Nationwide Self-Exclusion–A Survey in Online Gamblers in Sweden. Frontiers in Psychiatry 11.
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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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Gerhard Bühringer, Roxana Kotter, Robert Czernecka & Anja Kräplin. (2018) Beyond Reno II: Who caresfor vulnerable gamblers?. SUCHT 64:5-6, pages 325-334.
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Franziska Motka, Bettina Grüne, Pawel Sleczka, Barbara Braun, Jenny Cisneros Örnberg & Ludwig Kraus. (2018) Who uses self-exclusion to regulate problem gambling? A systematic literature review. Journal of Behavioral Addictions 7:4, pages 903-916.
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