research
∙
03/03/2023
Synthetic Data Generator for Adaptive Interventions in Global Health
Artificial Intelligence and digital health have the potential to transfo...
share
research
∙
11/12/2022
Actionable Recourse via GANs for Mobile Health
Mobile health apps provide a unique means of collecting data that can be...
research
∙
11/02/2021
A Recommendation System to Enhance Midwives' Capacities in Low-Income Countries
Maternal and child mortality is a public health problem that disproporti...
research
∙
07/06/2021
Midwifery Learning and Forecasting: Predicting Content Demand with User-Generated Logs
Every day, 800 women and 6,700 newborns die from complications related t...
research
∙
03/13/2020
A Time Series Approach To Player Churn and Conversion in Videogames
Players of a free-to-play game are divided into three main groups: non-p...
research
∙
07/09/2019
Understanding Player Engagement and In-Game Purchasing Behavior with Ensemble Learning
As video games attract more and more players, the major challenge for ga...
research
∙
06/25/2019
From Non-Paying to Premium: Predicting User Conversion in Video Games with Ensemble Learning
Retaining premium players is key to the success of free-to-play games, b...
research
∙
01/16/2019
The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition
Machine learning competitions such as those organized by Kaggle or KDD r...
research
∙
11/28/2018
Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models
Nowadays, video game developers record every virtual action performed by...
research
∙
06/13/2018
A Machine-Learning Item Recommendation System for Video Games
Video-game players generate huge amounts of data, as everything they do ...
research
∙
02/07/2018
Game Data Mining Competition on Churn Prediction and Survival Analysis using Commercial Game Log Data
Usually, game companies avoid sharing their game data with external rese...
research
∙
10/06/2017
Discovering Playing Patterns: Time Series Clustering of Free-To-Play Game Data
The classification of time series data is a challenge common to all data...
research
∙
10/06/2017
Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles
Reducing user attrition, i.e. churn, is a broad challenge faced by sever...
research
∙
10/06/2017
Games and Big Data: A Scalable Multi-Dimensional Churn Prediction Model
The emergence of mobile games has caused a paradigm shift in the video-g...
research
∙
10/05/2017
