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2020 – today
- 2024
[j1]Juan-Fernando Lima
, María-Inés Acosta-Urigüen, Marcos Orellana:
Machine learning and knowledge engineering for cognitive memory assessment of age groups by anomalies in a serious game. Intell. Syst. Appl. 21: 200301 (2024)- [c4]María-Inés Acosta-Urigüen, Juan Pablo Holguin, Mateo Sebastián Zea-Paredes, Juan-Fernando Lima, Alexandra Bermeo, Javier Díaz, Ivana Harari:
Conceptualizing the Active Ageing Index (AAI): A Systematic Literature Review of Frameworks and Supporting Digital Tools. ICT4AWE 2024: 276-283 - 2022
- [c3]Juan-Fernando Lima, Priscila Cedillo, María-Inés Acosta-Urigüen, Marcos Orellana, Alexandra Bueno-Pacheco:
Rescuing Relevant Features from Active Aging Surveys: A Data Mining Perspective. ICT4AWE (Revised Selected Papers) 2022: 138-156 - [c2]María-Inés Acosta-Urigüen, Priscila Cedillo, Marcos Orellana, Alexandra Bueno, Juan-Fernando Lima, Daniela Prado:
Finding Insights between Active Aging Variables: Towards a Data Mining Approach. ICT4AWE 2022: 268-275 - 2020
- [c1]Priscila Verdugo, Catalina V. Astudillo-Rodríguez, Jackelín Verdugo, Juan-Fernando Lima, Santiago Cedillo:
Documentation and Scientific Archiving: Digital Repository. AHFE (18) 2020: 296-302
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