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Listar por autor "Gutiérrez Avilés, David"
Mostrando ítems 1-20 de 25
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Artículo
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture
Melgar García, Laura; Gutiérrez Avilés, David; Godinho, María Teresa; Espada, Rita; Brito, Isabel Sofía; Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Rubio Escudero, Cristina (Elsevier, 2022)Precision agriculture focuses on the development of site-specific harvest considering the variability of each crop ...
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Artículo
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula
Martínez Álvarez, Francisco; Gutiérrez Avilés, David; Morales Esteban, Antonio; Reyes, Jorge; Amaro Mellado, José Lázaro; Rubio Escudero, Cristina (MDPI, 2015)A previous definition of seismogenic zones is required to do a probabilistic seismic hazard analysis for areas of spread ...
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Artículo
Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration
Fernández, A. M.; Gutiérrez Avilés, David; Troncoso Lora, Alicia; Martínez Álvarez, Francisco (Elsevier, 2020)The vast amount of data stored nowadays has turned big data analytics into a very trendy research field. The Spark ...
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Artículo
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model
Martínez Álvarez, Francisco; Asencio Cortés, Gualberto; Torres, J. F.; Gutiérrez Avilés, David; Melgar García, Laura; Pérez Chacón, R.; Rubio Escudero, Cristina; Riquelme Santos, José Cristóbal; Troncoso Lora, Alicia (Mary Ann Liebert, 2020)This study proposes a novel bioinspired metaheuristic simulating how the coronavirus spreads and infects healthy people. ...
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Artículo
Data streams classification using deep learning under different speeds and drifts
Lara Benítez, Pedro; Carranza García, Manuel; Gutiérrez Avilés, David; Riquelme Santos, José Cristóbal (Oxford University Press, 2022)Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. ...
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Artículo
Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm
Bui, Kien-Trinh T.; Torres, José F.; Gutiérrez Avilés, David; Nhu, Viet-Ha; Bui, Dieu Tien; Martínez Álvarez, Francisco (Wiley, 2022)The safety operation and management of hydropower dam play a critical role in social-economic development and ensure ...
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Ponencia
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering
Melgar García, Laura; Godinho, María Teresa; Espada, Rita; Gutiérrez Avilés, David; Brito, Isabel Sofía; Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Rubio Escudero, Cristina (Springer, 2020)Agriculture has undergone some very important changes over the last few decades. The emergence and evolution of precision ...
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Artículo
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach
Melgar García, Laura; Gutiérrez Avilés, David; Rubio Escudero, Cristina; Troncoso Lora, Alicia (Elsevier, 2021)Triclustering algorithms group sets of coordinates of 3-dimensional datasets. In this paper, a new triclustering approach ...
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Artículo
Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach
Amaro Mellado, José Lázaro; Melgar García, Laura; Rubio Escudero, Cristina; Gutiérrez Avilés, David (Elsevier, 2021)Seismogenic source zone models, including the delineation and the characterization, still have a role to play in seismic ...
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Ponencia
High-Content Screening images streaming analysis using the STriGen methodology
Melgar García, Laura; Gutiérrez Avilés, David; Rubio Escudero, Cristina; Troncoso Lora, Alicia (Association for Computing Machinery (ACM), 2020)One of the techniques that provides systematic insights into biolog ical processes is High-Content Screening (HCS). It ...
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Ponencia
LSL: A new measure to evaluate triclusters
Gutiérrez Avilés, David; Rubio Escudero, Cristina (IEEE Computer Society, 2014)Microarray technology has led to a great advance in biological studies due to its ability to monitorize the RNA levels of ...
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Artículo
Mining 3D Patterns from Gene Expression Temporal Data: A New Tricluster Evaluation Measure
Gutiérrez Avilés, David; Rubio Escudero, Cristina (Hindawi, 2014)Microarrays have revolutionized biotechnological research.The analysis of newdata generated represents a computational ...
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Artículo
MSL: A Measure to Evaluate Three-dimensional Patterns in Gene Expression Data
Gutiérrez Avilés, David; Rubio Escudero, Cristina (SAGE Publications, 2015)Microarray technology is highly used in biological research environments due to its ability to monitor the RNA concentration ...
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Ponencia
Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming
Melgar García, Laura; Gutiérrez Avilés, David; Rubio Escudero, Cristina; Troncoso Lora, Alicia (Springer, 2021)This paper presents a new forecasting algorithm for time series in streaming named StreamWNN. The methodology has two ...
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Ponencia
Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting
Torres, J. F.; Gutiérrez Avilés, David; Troncoso Lora, Alicia; Martínez Álvarez, Francisco (Springer, 2019)In this paper, we introduce a deep learning approach, based on feed-forward neural networks, for big data time series ...
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Ponencia
Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks
Fernández, Antonio M.; Gutiérrez Avilés, David; Troncoso Lora, Alicia; Martínez Álvarez, Francisco (Springer, 2019)The currently burst of the Internet of Things (IoT) tech-nologies implies the emergence of new lines of investigation ...
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Capítulo de Libro
Revisiting the Yeast Cell Cycle Problem with the Improved TriGen Algorithm
Gutiérrez Avilés, David; Rubio Escudero, Cristina; Riquelme Santos, José Cristóbal (IEEE, 2011)Analyzing microarray data represents a computational challenge due to the characteristics of these data. Clustering ...
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Ponencia
SmartFD: A Real Big Data Application for Electrical Fraud Detection
Gutiérrez Avilés, David; Fábregas, J. A.; Tejedor, Javier; Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Arcos Vargas, Ángel; Riquelme Santos, José Cristóbal (Springer, 2018)The main objective of this paper is the application of big data analytics to a real case in the field of smart electric ...
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Ponencia
Triclustering on TemporaryMicroarray Data using the TriGen Algorithm
Gutiérrez Avilés, David; Rubio Escudero, Cristina; Riquelme Santos, José Cristóbal (IEEE, 2011)The analysis of microarray data is a computational challenge due to the characteristics of these data. Clustering ...
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Artículo
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data
Gutiérrez Avilés, David; Rubio Escudero, Cristina; Martínez Álvarez, Francisco; Riquelme Santos, José Cristóbal (Elsevier, 2014)Analyzing microarray data represents a computational challenge due to the characteristics of these data. Clustering techniques ...