David Gutiérrez-Avilés

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 26

Top Topics

Incremental Learning

Top Venues

Publications

Francesc Rodríguez-Díaz, José Francisco Torres, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines. CAEPIA (2024)
David Gutiérrez-Avilés, José F. Torres, Francisco Martínez-Álvarez, Jairo Cugliari
An evolutionary triclustering approach to discover electricity consumption patterns in France. SAC (2024)
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)
Pedro Lara-Benítez, Manuel Carranza-García, David Gutiérrez-Avilés, José C. Riquelme
Data streams classification using deep learning under different speeds and drifts. Log. J. IGPL 31 (4) (2023)
Antonio M. Fernández-Gómez, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
A new Apache Spark-based framework for big data streaming forecasting in IoT networks. J. Supercomput. 79 (10) (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)
Kien-Trinh Thi Bui, José F. Torres, David Gutiérrez-Avilés, Viet-Ha Nhu, Dieu Tien Bui, Francisco Martínez-Álvarez
Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm. Comput. Aided Civ. Infrastructure Eng. 37 (11) (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)
José María Luna-Romera, Manuel Carranza-García, David Gutiérrez-Avilés, José Cristóbal Riquelme Santos
Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology. SOCO (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)
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)
Antonio M. Fernández, David Gutiérrez-Avilés, Alicia Troncoso Lora, Francisco Martínez-Álvarez
Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration. Big Data Res. (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)
José F. Torres, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting. IWANN (1) (2019)
Antonio M. Fernández, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks. SOCO (2019)
David Gutiérrez-Avilés, J. A. Fábregas, J. Tejedor, Francisco Martínez-Álvarez, Alicia Troncoso, A. Arcos, José C. Riquelme
SmartFD: A Real Big Data Application for Electrical Fraud Detection. HAIS (2018)
David Gutiérrez-Avilés, Raúl Giráldez, Francisco Javier Gil-Cumbreras, Cristina Rubio-Escudero
TRIQ: a new method to evaluate triclusters. BioData Min. 11 (1) (2018)
David Gutiérrez-Avilés, Cristina Rubio-Escudero
TRIQ: A Comprehensive Evaluation Measure for Triclustering Algorithms. HAIS (2016)
Francisco Martínez-Álvarez, David Gutiérrez-Avilés, Antonio Morales-Esteban, Jorge Reyes, José L. Amaro-Mellado, Cristina Rubio-Escudero
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula. Entropy 17 (7) (2015)
David Gutiérrez-Avilés, Cristina Rubio-Escudero
LSL: A new measure to evaluate triclusters. BIBM (2014)
David Gutiérrez-Avilés, Cristina Rubio-Escudero, Francisco Martínez-Álvarez, José C. Riquelme
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data. Neurocomputing 132 (2014)
David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme
Revisiting the yeast cell cycle problem with the improved TriGen algorithm. NaBIC (2011)
David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme
Triclustering on temporary microarray data using the TriGen algorithm. ISDA (2011)
David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme
Unravelling the Yeast Cell Cycle Using the TriGen Algorithm. CAEPIA (2011)