Laura Melgar-García

21 papers Misc 3Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting.
Neural Comput. Appl.
Andrés Manuel Chacón-Maldonado, Laura Melgar-García, Gualberto Asencio-Cortés, Alicia Troncoso
2025 J jnl
Online forecasting using neighbor-based incremental learning for electricity markets.
Neural Comput. Appl.
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2024 J jnl
A novel incremental ensemble learning for real-time explainable forecasting of electricity price.
Knowl. Based Syst.
Laura Melgar-García, Alicia Troncoso
2023 J jnl
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series.
Inf. Fusion
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2023 J jnl
A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area.
Int. J. Digit. Earth
Laura Melgar-García, Francisco Martínez-Álvarez, Dieu Tien Bui, Alicia Troncoso
2023 J jnl
Comparative Analysis of Deep Learning and Swarm-Optimized Random Forest for Groundwater Spring Potential Identification in Tropical Regions.
Remote. Sens.
Viet-Ha Nhu, Pham Viet Hoa, Laura Melgar-García, Dieu Tien Bui
2023 — conf
Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python.
CISIS-ICEUTE
Laura Melgar-García, Angela Troncoso-García, David Gutiérrez-Avilés, José Francisco Torres, Alicia Troncoso
2023 — conf
Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting.
SOCO (1)
Manuel Jesús Jiménez-Navarro, Camilo Restrepo Estrada, Laura Melgar-García, David Gutiérrez-Avilés
2023 Misc conf
Identification of Anomalies in Urban Sound Data with Autoencoders.
HAIS
Laura Melgar-García, Maryam Hosseini, Alicia Troncoso
2023 J jnl
Identifying novelties and anomalies for incremental learning in streaming time series forecasting.
Eng. Appl. Artif. Intell.
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2023 J jnl
Streaming big time series forecasting based on nearest similar patterns with application to energy consumption.
Log. J. IGPL
P. Jiménez-Herrera, Laura Melgar-García, Gualberto Asencio-Cortés, Alicia Troncoso Lora
2022 J jnl
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture.
Neurocomputing
Laura Melgar-García, David Gutiérrez-Avilés, Maria Teresa Godinho, Rita Espada, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero
2022 — conf
Nearest neighbors with incremental learning for real-time forecasting of electricity demand.
ICDM (Workshops)
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2021 J jnl
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach.
Inf. Sci.
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
2021 J jnl
Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach.
Comput. Geosci.
José L. Amaro-Mellado, Laura Melgar-García, Cristina Rubio-Escudero, David Gutiérrez-Avilés
2021 — conf
Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming.
CAEPIA
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso Lora
2020 Misc conf
A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series.
HAIS
P. Jiménez-Herrera, Laura Melgar-García, Gualberto Asencio-Cortés, Alicia Troncoso
2020 J jnl
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model.
Big Data
Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, José F. Torres, David Gutiérrez-Avilés, Laura Melgar-García, Rubén Pérez-Chacón, Cristina Rubio-Escudero, José C. Riquelme, Alicia Troncoso Lora
2020 J jnl
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model.
CoRR
Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, José F. Torres, David Gutiérrez-Avilés, Laura Melgar-García, Rubén Pérez-Chacón, Cristina Rubio-Escudero, José C. Riquelme, Alicia Troncoso
2020 — conf
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering.
SOCO
Laura Melgar-García, Maria Teresa Godinho, Rita Espada, David Gutiérrez-Avilés, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero
2020 Misc conf
High-content screening images streaming analysis using the STriGen methodology.
SAC
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso