activity
20142024
most citedEmbedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecasting

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

math.NA2024

Fractional variational integrators based on convolution quadrature

Khaled Hariz, Fernando Jiménez, Sina Ober-Blöbaum

Fractional dissipation is a powerful tool to study non-local physical phenomena such as damping models. The design of geometric, in particular, variational integrators for the nume…

cs.LG2023★ 1 cited

Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecasting

Raquel Espinosa, Fernando Jiménez, José Palma

Time series forecasting plays a crucial role in diverse fields, necessitating the development of robust models that can effectively handle complex temporal patterns. In this articl…

math-ph2014

Hamilton-Dirac systems for charged particles in gauge fields

Fernando Jimenez

In this work, we use the Sternberg phase space (which may be considered as the classical phase space of particles in gauge fields) in order to explore the dynamics of such particle…