activity
20082022
most citedPlotting time: On the usage of CNNs for time series classification

9 citations · 26 across the 7 of their papers we have counts for

collaborators

7 papers

stat.AP2022

Small area estimation using multiple imputation in three-parameter logistic models

Cristian Tellez-Piñerez, Leonardo Trujillo, Andrés Gutiérrez-Rojas +1

We propose a novel methodology relating item response theory methods with small area estimation strategies in the presence of missing data. Specifically, we propose an unbiased est…

q-bio.PE2022★ 5 cited

Getting higher on rugged landscapes: Inversion mutations open access to fitter adaptive peaks in NK fitness landscapes

Leonardo Trujillo, Paul Banse, Guillaume Beslon

Molecular evolution is often conceptualised as adaptive walks on rugged fitness landscapes, driven by mutations and constrained by incremental fitness selection. It is well known t…

cs.NE2022

Highlights of Semantics in Multi-objective Genetic Programming

Edgar Galván, Leonardo Trujillo, Fergal Stapleton

Semantics is a growing area of research in Genetic programming (GP) and refers to the behavioural output of a Genetic Programming individual when executed. This research expands up…

cs.NE2021

GSGP-CUDA -- a CUDA framework for Geometric Semantic Genetic Programming

Leonardo Trujillo, Jose Manuel Muñoz Contreras, Daniel E Hernandez +2

Geometric Semantic Genetic Programming (GSGP) is a state-of-the-art machine learning method based on evolutionary computation. GSGP performs search operations directly at the level…

cs.NE2021★ 3 cited

Semantics in Multi-objective Genetic Programming

Edgar Galván, Leonardo Trujillo, Fergal Stapleton

Semantics has become a key topic of research in Genetic Programming (GP). Semantics refers to the outputs (behaviour) of a GP individual when this is run on a data set. The majorit…

cs.CV2021★ 9 cited

Plotting time: On the usage of CNNs for time series classification

Nuno M. Rodrigues, João E. Batista, Leonardo Trujillo +4

We present a novel approach for time series classification where we represent time series data as plot images and feed them to a simple CNN, outperforming several state-of-the-art…