Discovering playing patterns: Time series clustering of free-to-play game data. - Alain Saas; Anna Guitart; Africa Perianez (CIG, 2016)

Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles. - Africa Perianez; Alain Saas; Anna Guitart; Colin Magne (DSAA, 2016)

Games and big data: A scalable multi-dimensional churn prediction model. - Paul Bertens; Anna Guitart; Africa Perianez (CIG, 2017)

Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models. - Pei Pei Chen; Anna Guitart; Ana Fernández del Río; Africa Perianez (IEEE BigData, 2018)

A Machine-Learning Item Recommendation System for Video Games. - Paul Bertens; Anna Guitart; Pei Pei Chen; Africa Perianez (CIG, 2018)

Profiling Players with Engagement Predictions. - Ana Fernández del Río; Pei Pei Chen; África Periáñez (CoG, 2019)

From non-paying to premium: predicting user conversion in video games with ensemble learning. - Anna Guitart; Shi Hui Tan; Ana Fernández del Río; Pei Pei Chen; África Periáñez (FDG, 2019)

Understanding Player Engagement and In-Game Purchasing Behavior with Ensemble Learning. - Anna Guitart; Ana Fernández del Río; África Periáñez (CoRR, 2019)

The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition. - Anna Guitart; Pei Pei Chen; África Periáñez (Mach. Learn. Knowl. Extr., 2019)

Game Data Mining Competition on Churn Prediction and Survival Analysis Using Commercial Game Log Data. - EunJo Lee; Yoonjae Jang; DuMim Yoon; JiHoon Jeon; Seong-Il Yang; Sang-Kwang Lee; Dae-Wook Kim; Pei Pei Chen; Anna Guitart; Paul Bertens; África Periáñez; Fabian Hadiji; et al. (IEEE Trans. Games, 2019)

Midwifery Learning and Forecasting: Predicting Content Demand with User-Generated Logs. - Anna Guitart; Ana Fernández del Río; África Periáñez (CoRR, 2021)

A Recommendation System to Enhance Midwives' Capacities in Low-Income Countries. - Anna Guitart; Afsaneh Heydari; Eniola Olaleye; Jelena Ljubicic; Ana Fernández del Río; África Periáñez; Lauren Bellhouse (CoRR, 2021)

A Data-Centric Behavioral Machine Learning Platform to Reduce Health Inequalities. - Dexian Tang; Guillem Francès; África Periáñez (CoRR, 2021)

A time series approach to player churn and conversion in videogames. - Ana Fernández del Río; Anna Guitart; Africa Perianez (Intell. Data Anal., 2021)

User Engagement in Mobile Health Applications. - Babaniyi Yusuf Olaniyi; Ana Fernández del Río; África Periáñez; Lauren Bellhouse (KDD, 2022)

Actionable Recourse via GANs for Mobile Health. - Jennifer Chien; Anna Guitart; Ana Fernández del Río; Africa Perianez; Lauren Bellhouse (CoRR, 2022)

Midwifery learning and forecasting: Predicting content demand with user-generated logs. - Anna Guitart; Ana Fernández del Río; África Periáñez; Lauren Bellhouse (Artif. Intell. Medicine, 2023)

Synthetic Data Generator for Adaptive Interventions in Global Health. - Aditya Rastogi; Juan Francisco Garamendi; Ana Fernández del Río; Anna Guitart; Moiz Hassan Khan; Dexian Tang; África Periáñez (CoRR, 2023)

Adaptive Interventions for Global Health: A Case Study of Malaria. - África Periáñez; Andrew Trister; Madhav Nekkar; Ana Fernández del Río; Pedro L. Alonso (CoRR, 2023)

Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings. - África Periáñez; Kathrin Schmitz; Lazola Makhupula; Moiz Hassan Khan; Moeti Moleko; Ana Fernández del Río; Ivan Nazarov; Aditya Rastogi; Dexian Tang (CoRR, 2024)

Adaptive Behavioral AI: Reinforcement Learning to Enhance Pharmacy Services. - Ana Fernández del Río; Michael Brennan Leong; Paulo Saraiva; Ivan Nazarov; Aditya Rastogi; Moiz Hassan; Dexian Tang; África Periáñez (CoRR, 2024)

Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx. - Ana Fernández del Río; Michael Brennan Leong; Paulo Saraiva; Ivan Nazarov; Aditya Rastogi; Moiz Hassan; Dexian Tang; África Periáñez (CoRR, 2024)

The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems. - África Periáñez; Ana Fernández del Río; Ivan Nazarov; Enric Jané; Moiz Hassan; Aditya Rastogi; Dexian Tang (CoRR, 2024)

From Restless to Contextual: A Thresholding Bandit Approach to Improve Finite-horizon Performance. - Jiamin Xu; Ivan Nazarov; Aditya Rastogi; África Periáñez; Kyra Gan (CoRR, 2025)