Eliana Vivas, PhD

Doctor in Computer Engineering, Pontificia Universidad Católica de Valparaíso 2023

Calculated based on number of publications stored in Pure and citations from Scopus
20192025

Research activity per year

Personal profile

Research Interests

My line of research focuses on the development of hybrid models that integrate statistics and artificial intelligence, especially neural networks and wavelets, to solve complex prediction problems in time series. I have applied these approaches in sectors such as energy, environment and finance, seeking to generate useful knowledge for sustainable decision making with impact on public policy.

Key Words

Artificial Intelligence, Time Series, Predictive Modeling, Wavelets, Applied Statistics, Energy

Profession

Statistic, Universidad de Oriente 2009

Fingerprint

Dive into the research topics where Eliana Vivas is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or