activity
20172023
most citedChurn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles

98 citations · 370 across the 15 of their papers we have counts for

collaborators

15 papers

stat.ML2023★ 1 cited

Synthetic Data Generator for Adaptive Interventions in Global Health

Aditya Rastogi, Juan Francisco Garamendi, Ana Fernández del Río +4

Artificial Intelligence and digital health have the potential to transform global health. However, having access to representative data to test and validate algorithms in realistic…

cs.LG2022

Actionable Recourse via GANs for Mobile Health

Jennifer Chien, Anna Guitart, Ana Fernandez del Rio +2

Mobile health apps provide a unique means of collecting data that can be used to deliver adaptive interventions.The predicted outcomes considerably influence the selection of such…

stat.ML2021

A Recommendation System to Enhance Midwives' Capacities in Low-Income Countries

Anna Guitart, Afsaneh Heydari, Eniola Olaleye +4

Maternal and child mortality is a public health problem that disproportionately affects low- and middle-income countries. Every day, 800 women and 6,700 newborns die from complicat…

stat.ML2021★ 7 cited

Midwifery Learning and Forecasting: Predicting Content Demand with User-Generated Logs

Anna Guitart, Ana Fernández del Río, África Periáñez +1

Every day, 800 women and 6,700 newborns die from complications related to pregnancy or childbirth. A well-trained midwife can prevent most of these maternal and newborn deaths. Dat…

stat.AP2020★ 13 cited

A Time Series Approach To Player Churn and Conversion in Videogames

Ana Fernández del Río, Anna Guitart, África Periáñez

Players of a free-to-play game are divided into three main groups: non-paying active users, paying active users and inactive users. A State Space time series approach is then used…

stat.ML2019★ 6 cited

Understanding Player Engagement and In-Game Purchasing Behavior with Ensemble Learning

Anna Guitart, Ana Fernández del Río, África Periáñez

As video games attract more and more players, the major challenge for game studios is to retain them. We present a deep behavioral analysis of churn (game abandonment) and what we…

stat.ML2019★ 12 cited

From Non-Paying to Premium: Predicting User Conversion in Video Games with Ensemble Learning

Anna Guitart, Shi Hui Tan, Ana Fernández del Río +2

Retaining premium players is key to the success of free-to-play games, but most of them do not start purchasing right after joining the game. By exploiting the exceptionally rich d…

stat.ML2019★ 14 cited

The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition

Anna Guitart, Pei Pei Chen, África Periáñez

Machine learning competitions such as those organized by Kaggle or KDD represent a useful benchmark for data science research. In this work, we present our winning solution to the…

cs.CY2018★ 56 cited

Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models

Pei Pei Chen, Anna Guitart, Ana Fernández del Río +1

Nowadays, video game developers record every virtual action performed by their players. As each player can remain in the game for years, this results in an exceptionally rich datas…

stat.ML2018★ 48 cited

A Machine-Learning Item Recommendation System for Video Games

Paul Bertens, Anna Guitart, Pei Pei Chen +1

Video-game players generate huge amounts of data, as everything they do within a game is recorded. In particular, among all the stored actions and behaviors, there is information o…

cs.DB2018★ 35 cited

Game Data Mining Competition on Churn Prediction and Survival Analysis using Commercial Game Log Data

EunJo Lee, Yoonjae Jang, DuMim Yoon +14

Game companies avoid sharing their game data with external researchers. Only a few research groups have been granted limited access to game data so far. The reluctance of these com…

stat.ML2017★ 30 cited

Discovering Playing Patterns: Time Series Clustering of Free-To-Play Game Data

Alain Saas, Anna Guitart, África Periáñez

The classification of time series data is a challenge common to all data-driven fields. However, there is no agreement about which are the most efficient techniques to group unlabe…

stat.ML2017★ 98 cited

Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles

África Periáñez, Alain Saas, Anna Guitart +1

Reducing user attrition, i.e. churn, is a broad challenge faced by several industries. In mobile social games, decreasing churn is decisive to increase player retention and rise re…

stat.ML2017★ 45 cited

Games and Big Data: A Scalable Multi-Dimensional Churn Prediction Model

Paul Bertens, Anna Guitart, África Periáñez

The emergence of mobile games has caused a paradigm shift in the video-game industry. Game developers now have at their disposal a plethora of information on their players, and thu…

stat.ML2017★ 5 cited

Forecasting Player Behavioral Data and Simulating in-Game Events

Anna Guitart, Pei Pei Chen, Paul Bertens +1

Understanding player behavior is fundamental in game data science. Video games evolve as players interact with the game, so being able to foresee player experience would help to en…