Laura Melgar

Laura Melgar

Ph.D. student

Laura Melgar García earned a Biomedical Engineering Degree at the University of Seville in 2017. Afterwards, she received a Master in Software Engineering at the University of Seville in 2018. Nowadays, she is a PhD student in Computer Science at University Pablo de Olavide in Seville (since 2019) where she is working as a researcher in the Data Science and Big Data Lab.

She has done 2 internships related with software and machine learning techniques applied to medical data at Oblumi S.L (Seville) and at Aptus Health International France SAS (Paris). Later, Laura Melgar García worked as an Assistant Research Engineer at the Department of Systems and Languages at the University of Seville for one year.

During her academic period, she has done 2 international stays: 10 months during the 3rd year of her degree at Politecnico of Milan (Italy) and 10 months during her Master at University of Paris 8 (France).

Her major fields of research are data streaming, evolutionary computing, (bio)medical data analysis and bioinformatics.

Publications

2021

L. Melgar-García and D. Gutiérrez-Avilés and M. T. Godinho and R. Espada and I. S. Brito and F. Martínez-Álvarez and A. Troncoso and C. Rubio-Escudero

A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture Journal Article

Neurocomputing, in press , 2021.

BibTeX

L. Melgar-García and D. Gutiérrez-Avilés and C. Rubio-Escudero and A. Troncoso

Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach Journal Article

Information Sciences, in press , 2021.

Abstract | BibTeX

2020

P. Jiménez-Herrera and L. Melgar-García and G. Asencio-Cortés and A. Troncoso

A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series Conference

HAIS 15th International Conference on Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science 2020.

Links | BibTeX

L. Melgar-García and M. T. Godinho and R. Espada and D. Gutiérrez-Avilés and I. S. Brito and F. Martínez-Álvarez and A. Troncoso and C. Rubio-Escudero

Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering Conference

SOCO 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, Advances in Intelligent Systems and Computing 2020.

Links | BibTeX

F. Martínez-Álvarez and G. Asencio-Cortés and J. F. Torres and D. Gutiérrez-Avilés and L. Melgar-García and R. Pérez-Chacón and C. Rubio-Escudero and A. Troncoso and J. C. Riquelme

Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model Journal Article

Big Data, 8 (4), pp. 308-322, 2020.

Abstract | Links | BibTeX

L. Melgar-García and D. Gutiérrez-Avilés and C. Rubio-Escudero and A. Troncoso

High-content screening images streaming analysis using the STriGen methodology Conference

SAC 35th Annual ACM Symposium on Applied Computing, 2020.

Links | BibTeX