Cristian

Pachón García

Postdoctoral researcher at Group of Numerical Optimization and Modeling, a position in which I specialize in the use of statistical modelling to analyse and enhance power systems. I joined the group after completing my Ph.D., where I worked in dimensionality reduction and interpretable machine learning.

From a personal perspective, my passions lie in mathematics, data and Crossfit. I enjoy reading papers and coding.

Publications

Functional relevance based on the continuous Shapley value (2024)

Delicado, P.–Pachón-García, C.

preprint

Multidimensional scaling for big data (2024)

Delicado, P.–Pachón-García, C.

article

SurvLIMEpy: A Python package implementing SurvLIME (2024)

Pachón-García, C.–Hernández-Pérez, C.–Delicado, P.–Vilaplana, V.

article

View all publications

Technical contributions

SurvLIMEpy

A Python package that implements SurvLIME algorithm (Survival Local Interpretable Model-agnostic Explanation), a local interpretable method for survival analysis.

ShapleyFDA

A Python package to compute feature importance for machine learning models based on functional datasets (work in progress).

bigmds

An R package designed to perform dimensionality reduction for big datasets based on the MDS technique.