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.
Identifying novelties and anomalies for incremental learning in streaming time series forecasting Journal Article
Engineering Applications of Artificial Intelligence, 123 , pp. 106326, 2023.
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series Journal Article
Information Fusion, 95 , pp. 163-173, 2023.
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture Journal Article
Neurocomputing, 500 , pp. 268-278, 2022.
Streaming big time series forecasting based on nearest similar patterns with application to energy consumption Journal Article
Logic Journal of the IGPL, 31 (2), pp. 255-270, 2022.
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach Journal Article
Information Sciences, 558 , pp. 174-193, 2021.
Nearest neighbours-based forecasting for electricity demand time series in streaming Conference
Conference of the Spanish Association for Artificial Intelligence (CAEPIA'21), Lecture Notes in Artificial Intelligence 2021.
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.
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.
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model Journal Article
Big Data, 8 (4), pp. 308-322, 2020.
High-content screening images streaming analysis using the STriGen methodology Conference
SAC 35th Annual ACM Symposium on Applied Computing, 2020.