David Gutiérrez-Avilés

36 papers C 1Misc 4Journal 19Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey of Quantum Machine Learning: Foundations, Algorithms, Frameworks, Data and Applications.
ACM Comput. Surv.
Francesc Rodríguez-Díaz, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2026 J jnl
Hybrid Classical-Quantum Transfer Learning with Noisy Quantum Circuits.
CoRR
D. Martín-Pérez, Francesc Rodríguez-Díaz, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2026 J jnl
Quantifying Gate Contribution in Quantum Feature Maps for Scalable Circuit Optimization.
CoRR
Francesc Rodríguez-Díaz, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2025 J jnl
MetaGen: A framework for metaheuristic development and hyperparameter optimization in machine and deep learning.
Neurocomputing
David Gutiérrez-Avilés, Manuel Jesús Jiménez-Navarro, José Francisco Torres, Francisco Martínez-Álvarez
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 — conf
An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines.
CAEPIA
Francesc Rodríguez-Díaz, José Francisco Torres, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2024 Misc conf
An evolutionary triclustering approach to discover electricity consumption patterns in France.
SAC
David Gutiérrez-Avilés, José F. Torres, Francisco Martínez-Álvarez, Jairo Cugliari
2023 J jnl
A new Apache Spark-based framework for big data streaming forecasting in IoT networks.
J. Supercomput.
Antonio M. Fernández-Gómez, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
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
Data streams classification using deep learning under different speeds and drifts.
Log. J. IGPL
Pedro Lara-Benítez, Manuel Carranza-García, David Gutiérrez-Avilés, José C. Riquelme
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 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
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 J jnl
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.
Kien-Trinh Thi Bui, José F. Torres, David Gutiérrez-Avilés, Viet-Ha Nhu, Dieu Tien Bui, Francisco Martínez-Álvarez
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
2021 — conf
Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology.
SOCO
José María Luna-Romera, Manuel Carranza-García, David Gutiérrez-Avilés, José Cristóbal Riquelme Santos
2020 J jnl
Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration.
Big Data Res.
Antonio M. Fernández, David Gutiérrez-Avilés, Alicia Troncoso Lora, Francisco Martínez-Álvarez
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
2019 — conf
Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting.
IWANN (1)
José F. Torres, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2019 — conf
Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks.
SOCO
Antonio M. Fernández, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2018 Misc conf
SmartFD: A Real Big Data Application for Electrical Fraud Detection.
HAIS
David Gutiérrez-Avilés, J. A. Fábregas, J. Tejedor, Francisco Martínez-Álvarez, Alicia Troncoso, A. Arcos, José C. Riquelme
2018 J jnl
TRIQ: a new method to evaluate triclusters.
BioData Min.
David Gutiérrez-Avilés, Raúl Giráldez, Francisco Javier Gil-Cumbreras, Cristina Rubio-Escudero
2016 Misc conf
TRIQ: A Comprehensive Evaluation Measure for Triclustering Algorithms.
HAIS
David Gutiérrez-Avilés, Cristina Rubio-Escudero
2015 J jnl
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula.
Entropy
Francisco Martínez-Álvarez, David Gutiérrez-Avilés, Antonio Morales-Esteban, Jorge Reyes, José L. Amaro-Mellado, Cristina Rubio-Escudero
2014 — conf
LSL: A new measure to evaluate triclusters.
BIBM
David Gutiérrez-Avilés, Cristina Rubio-Escudero
2014 J jnl
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data.
Neurocomputing
David Gutiérrez-Avilés, Cristina Rubio-Escudero, Francisco Martínez-Álvarez, José C. Riquelme
2011 — conf
Revisiting the yeast cell cycle problem with the improved TriGen algorithm.
NaBIC
David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme
2011 C conf
Triclustering on temporary microarray data using the TriGen algorithm.
ISDA
David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme
2011 — conf
Unravelling the Yeast Cell Cycle Using the TriGen Algorithm.
CAEPIA
David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme