David Gutiérrez-Avilés

发表

Deformation forecasting of a hydropower dam by hybridizing a long short‐term memory deep learning network with the coronavirus optimization algorithm

Kien-Trinh Thi Bui, J. F. Torres, D. Bui, 2022, Comput. Aided Civ. Infrastructure Eng..

Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach

Cristina Rubio-Escudero, David Gutiérrez-Avilés, Laura Melgar-García, 2021, Comput. Geosci..

TRIQ: a new method to evaluate triclusters

Raúl Giráldez, Cristina Rubio-Escudero, David Gutiérrez-Avilés, 2018, BioData Mining.

TRIQ: A Comprehensive Evaluation Measure for Triclustering Algorithms

Cristina Rubio-Escudero, David Gutiérrez-Avilés, Cristina Rubio-Escudero, 2016, HAIS.

MSL: A Measure to Evaluate Three-dimensional Patterns in Gene Expression Data

Cristina Rubio-Escudero, David Gutiérrez-Avilés, Cristina Rubio-Escudero, 2015, Evolutionary bioinformatics online.

LSL: A new measure to evaluate triclusters

Cristina Rubio-Escudero, David Gutiérrez-Avilés, Cristina Rubio-Escudero, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Mining 3D Patterns from Gene Expression Temporal Data: A New Tricluster Evaluation Measure

Cristina Rubio-Escudero, David Gutiérrez-Avilés, Cristina Rubio-Escudero, 2014, TheScientificWorldJournal.

Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model

José Cristóbal Riquelme Santos, J. F. Torres, A. T. Lora, 2020, Big Data.

Identifying novelties and anomalies for incremental learning in streaming time series forecasting

A. T. Lora, Cristina Rubio-Escudero, A. Troncoso, 2023, Engineering Applications of Artificial Intelligence.

A novel distributed forecasting method based on information fusion and incremental learning for streaming time series

A. T. Lora, Cristina Rubio-Escudero, Laura Melgar-García, 2023, Inf. Fusion.

SmartFD: A Real Big Data Application for Electrical Fraud Detection

Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Francisco Martínez-Álvarez, 2018, HAIS.

A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture

A. T. Lora, F. Martínez-Álvarez, Cristina Rubio-Escudero, 2022, Neurocomputing.

TRIQ: a new method to evaluate triclusters

Francisco Javier Gil-Cumbreras, Cristina Rubio-Escudero, R. Giráldez, 2018, BioData Mining.

Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering

Alicia Troncoso Lora, Francisco Martínez-Álvarez, Maria Teresa Godinho, 2020, SOCO.

High-content screening images streaming analysis using the STriGen methodology

Alicia Troncoso Lora, Cristina Rubio-Escudero, David Gutiérrez-Avilés, 2020, SAC.

Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks

Alicia Troncoso Lora, Francisco Martínez-Álvarez, David Gutiérrez-Avilés, 2019, SOCO.

A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula

Francisco Martínez-Álvarez, Antonio Morales-Esteban, Jorge Reyes, 2015, Entropy.

TriGen: A genetic algorithm to mine triclusters in temporal gene expression data

José Cristóbal Riquelme Santos, Francisco Martínez-Álvarez, Cristina Rubio-Escudero, 2014, Neurocomputing.

Nearest neighbors with incremental learning for real-time forecasting of electricity demand

A. T. Lora, Cristina Rubio-Escudero, Laura Melgar-García, 2022, 2022 IEEE International Conference on Data Mining Workshops (ICDMW).

A new Apache Spark-based framework for big data streaming forecasting in IoT networks

F. Martínez-Álvarez, A. Troncoso, David Gutiérrez-Avilés, 2023, The Journal of Supercomputing.

Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration

Alicia Troncoso Lora, Francisco Martínez-Álvarez, David Gutiérrez-Avilés, 2020, Big Data Res..

Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting

Alicia Troncoso Lora, Francisco Martínez-Álvarez, David Gutiérrez-Avilés, 2019, IWANN.

Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming

Alicia Troncoso Lora, Cristina Rubio-Escudero, David Gutiérrez-Avilés, 2021, CAEPIA.

Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach

Alicia Troncoso Lora, Cristina Rubio-Escudero, David Gutiérrez-Avilés, 2021, Inf. Sci..

Revisiting the yeast cell cycle problem with the improved TriGen algorithm

José Cristóbal Riquelme Santos, Cristina Rubio-Escudero, David Gutiérrez-Avilés, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

Unravelling the Yeast Cell Cycle Using the TriGen Algorithm

José Cristóbal Riquelme Santos, Cristina Rubio-Escudero, David Gutiérrez-Avilés, 2011, CAEPIA.

Triclustering on temporary microarray data using the TriGen algorithm

José Cristóbal Riquelme Santos, Cristina Rubio-Escudero, David Gutiérrez-Avilés, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.