Laura Melgar-García

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 18

Top Topics

Precision Agriculture

Incremental Learning

Top Venues

Publications

Laura Melgar-García, Francisco Martínez-Álvarez, Dieu Tien Bui, Alicia Troncoso
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 16 (1) (2023)
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
Identifying novelties and anomalies for incremental learning in streaming time series forecasting. Eng. Appl. Artif. Intell. 123 (Part B) (2023)
Laura Melgar-García, Maryam Hosseini, Alicia Troncoso
Identification of Anomalies in Urban Sound Data with Autoencoders. HAIS (2023)
Viet-Ha Nhu, Pham Viet Hoa, Laura Melgar-García, Dieu Tien Bui
Comparative Analysis of Deep Learning and Swarm-Optimized Random Forest for Groundwater Spring Potential Identification in Tropical Regions. Remote. Sens. 15 (19) (2023)
P. Jiménez-Herrera, Laura Melgar-García, Gualberto Asencio-Cortés, Alicia Troncoso Lora
Streaming big time series forecasting based on nearest similar patterns with application to energy consumption. Log. J. IGPL 31 (2) (2023)
Laura Melgar-García, Angela Troncoso-García, David Gutiérrez-Avilés, José Francisco Torres, Alicia Troncoso
Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python. CISIS-ICEUTE (2023)
Manuel Jesús Jiménez-Navarro, Camilo Restrepo Estrada, Laura Melgar-García, David Gutiérrez-Avilés
Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting. SOCO (1) (2023)
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series. Inf. Fusion 95 (2023)
Laura Melgar-García, David Gutiérrez-Avilés, Maria Teresa Godinho, Rita Espada, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture. Neurocomputing 500 (2022)
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
Nearest neighbors with incremental learning for real-time forecasting of electricity demand. ICDM (Workshops) (2022)
José L. Amaro-Mellado, Laura Melgar-García, Cristina Rubio-Escudero, David Gutiérrez-Avilés
Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach. Comput. Geosci. 150 (2021)
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach. Inf. Sci. 558 (2021)
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso Lora
Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming. CAEPIA (2021)
Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
High-content screening images streaming analysis using the STriGen methodology. SAC (2020)
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
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model. Big Data 8 (4) (2020)
P. Jiménez-Herrera, Laura Melgar-García, Gualberto Asencio-Cortés, Alicia Troncoso
A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series. HAIS (2020)
Laura Melgar-García, Maria Teresa Godinho, Rita Espada, David Gutiérrez-Avilés, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering. SOCO (2020)
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
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model. CoRR (2020)