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Africa Perianez
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2020 – today
- 2024
- [i20]África Periáñez, Kathrin Schmitz, Lazola Makhupula, Moiz Hassan Khan, Moeti Moleko, Ana Fernández del Río, Ivan Nazarov, Aditya Rastogi, Dexian Tang:
Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings. CoRR abs/2408.07629 (2024) - [i19]Ana Fernández del Río, Michael Brennan Leong, Paulo Saraiva, Ivan Nazarov, Aditya Rastogi, Moiz Hassan, Dexian Tang, África Periáñez:
Adaptive Behavioral AI: Reinforcement Learning to Enhance Pharmacy Services. CoRR abs/2408.07647 (2024) - [i18]Ana Fernández del Río, Michael Brennan Leong, Paulo Saraiva, Ivan Nazarov, Aditya Rastogi, Moiz Hassan, Dexian Tang, África Periáñez:
Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx. CoRR abs/2408.08024 (2024) - [i17]África Periáñez, Ana Fernández del Río, Ivan Nazarov, Enric Jané, Moiz Hassan, Aditya Rastogi, Dexian Tang:
The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems. CoRR abs/2409.16098 (2024) - 2023
- [j4]Anna Guitart, Ana Fernández del Río, África Periáñez, Lauren Bellhouse:
Midwifery learning and forecasting: Predicting content demand with user-generated logs. Artif. Intell. Medicine 138: 102511 (2023) - [i16]Aditya Rastogi, Juan Francisco Garamendi, Ana Fernández del Río, Anna Guitart, Moiz Hassan Khan, Dexian Tang, África Periáñez:
Synthetic Data Generator for Adaptive Interventions in Global Health. CoRR abs/2303.01954 (2023) - [i15]África Periáñez, Andrew Trister, Madhav Nekkar, Ana Fernández del Río, Pedro L. Alonso:
Adaptive Interventions for Global Health: A Case Study of Malaria. CoRR abs/2303.02075 (2023) - 2022
- [c8]Babaniyi Yusuf Olaniyi, Ana Fernández del Río, África Periáñez, Lauren Bellhouse:
User Engagement in Mobile Health Applications. KDD 2022: 4704-4712 - [i14]Babaniyi Yusuf Olaniyi, Ana Fernández del Río, África Periáñez, Lauren Bellhouse:
User Engagement in Mobile Health Applications. CoRR abs/2206.08178 (2022) - [i13]Jennifer Chien, Anna Guitart, Ana Fernández del Río, Africa Perianez, Lauren Bellhouse:
Actionable Recourse via GANs for Mobile Health. CoRR abs/2211.06525 (2022) - 2021
- [j3]Ana Fernández del Río, Anna Guitart, Africa Perianez:
A time series approach to player churn and conversion in videogames. Intell. Data Anal. 25(1): 177-203 (2021) - [i12]Anna Guitart, Ana Fernández del Río, África Periáñez:
Midwifery Learning and Forecasting: Predicting Content Demand with User-Generated Logs. CoRR abs/2107.02480 (2021) - [i11]Anna Guitart, Afsaneh Heydari, Eniola Olaleye, Jelena Ljubicic, Ana Fernández del Río, África Periáñez, Lauren Bellhouse:
A Recommendation System to Enhance Midwives' Capacities in Low-Income Countries. CoRR abs/2111.01786 (2021) - [i10]Dexian Tang, Guillem Francès, África Periáñez:
A Data-Centric Behavioral Machine Learning Platform to Reduce Health Inequalities. CoRR abs/2111.11203 (2021) - 2020
- [i9]Ana Fernández del Río, Anna Guitart, África Periáñez:
A Time Series Approach To Player Churn and Conversion in Videogames. CoRR abs/2003.10287 (2020)
2010 – 2019
- 2019
- [j2]Anna Guitart, Pei Pei Chen, África Periáñez:
The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition. Mach. Learn. Knowl. Extr. 1(1): 252-264 (2019) - [j1]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, Marc Müller, Youngjun Joo, Jiyeon Lee, Inchon Hwang, Kyung-Joong Kim:
Game Data Mining Competition on Churn Prediction and Survival Analysis Using Commercial Game Log Data. IEEE Trans. Games 11(3): 215-226 (2019) - [c7]Ana Fernández del Río, Pei Pei Chen, África Periáñez:
Profiling Players with Engagement Predictions. CoG 2019: 1-4 - [c6]Anna Guitart, Shi Hui Tan, Ana Fernández del Río, Pei Pei Chen, África Periáñez:
From non-paying to premium: predicting user conversion in video games with ensemble learning. FDG 2019: 97:1-97:9 - [i8]Anna Guitart, Pei Pei Chen, África Periáñez:
The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition. CoRR abs/1901.05147 (2019) - [i7]Anna Guitart, Shi Hui Tan, Ana Fernández del Río, Pei Pei Chen, África Periáñez:
From Non-Paying to Premium: Predicting User Conversion in Video Games with Ensemble Learning. CoRR abs/1906.10320 (2019) - [i6]Ana Fernández del Río, Pei Pei Chen, África Periáñez:
Profiling Players with Engagement Predictions. CoRR abs/1907.03870 (2019) - [i5]Anna Guitart, Ana Fernández del Río, África Periáñez:
Understanding Player Engagement and In-Game Purchasing Behavior with Ensemble Learning. CoRR abs/1907.03947 (2019) - 2018
- [c5]Pei Pei Chen, Anna Guitart, Ana Fernández del Río, Africa Perianez:
Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models. IEEE BigData 2018: 2134-2140 - [c4]Paul Bertens, Anna Guitart, Pei Pei Chen, Africa Perianez:
A Machine-Learning Item Recommendation System for Video Games. CIG 2018: 1-4 - [i4]Kyung-Joong Kim, DuMim Yoon, JiHoon Jeon, Seong-Il Yang, Sang-Kwang Lee, EunJo Lee, Yoonjae Jang, Dae-Wook Kim, Pei Pei Chen, Anna Guitart, Paul Bertens, África Periáñez, Fabian Hadiji, Marc Müller, Youngjun Joo, Jiyeon Lee, Inchon Hwang:
Game Data Mining Competition on Churn Prediction and Survival Analysis using Commercial Game Log Data. CoRR abs/1802.02301 (2018) - [i3]Paul Bertens, Anna Guitart, Pei Pei Chen, África Periáñez:
A Machine-Learning Item Recommendation System for Video Games. CoRR abs/1806.04900 (2018) - [i2]Pei Pei Chen, Anna Guitart, Ana Fernández del Río, África Periáñez:
Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models. CoRR abs/1811.12799 (2018) - 2017
- [c3]Paul Bertens, Anna Guitart, Africa Perianez:
Games and big data: A scalable multi-dimensional churn prediction model. CIG 2017: 33-36 - [i1]Alain Saas, Anna Guitart, Africa Perianez:
Discovering Playing Patterns: Time Series Clustering of Free-To-Play Game Data. CoRR abs/1710.02268 (2017) - 2016
- [c2]Alain Saas, Anna Guitart, Africa Perianez:
Discovering playing patterns: Time series clustering of free-to-play game data. CIG 2016: 1-8 - [c1]Africa Perianez, Alain Saas, Anna Guitart, Colin Magne:
Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles. DSAA 2016: 564-573
Coauthor Index
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last updated on 2024-10-17 20:32 CEST by the dblp team
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