David Gutiérrez Avilés

David Gutiérrez Avilés

Assistant Professor

Citations and socials

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Prof. David Gutiérrez Avilés, Ph.D. is a Computer Science Engineer (University of Seville, 2010), Master in Software Engineering and Technology (University of Seville, 2013), Ph.D. (University of Seville, 2015). He is Assistant Professor in the area of Languages and Information Systems of University of Pablo de Olavide.

His main scientific achievement is the TrLab methodology to mining and evaluating of behavior patterns from large time-dependent datasets. This novel method extracts patterns from 3D large data using triclustering and genetic algorithms techniques. Through this research, several research productions and goals have been obtained: five JCR papers published, six conferences, a stay abroad in the University of Chile, belongings to one R&D team, a Regional project, and a National project; His Ph.D. thesis and intellectual property for the TrLab application.

The research lines of Prof. David Gutiérrez Avilés, Ph.D. are focused on: Electricity fraud detection in Big Data environments, On-line machine learning from Big data streaming, Analysis of Internet of Things protocols and sensor data analysis. Through this research, several research productions and goals have been obtained: 2 conference papers (in revision); belongings to an R&D team, a European project, a National projects, and 4 Business projects.

Publications

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2020

F. Martínez-Álvarez and G. Asencio-Cortés and J. F. Torres and D. Gutiérrez-Avilés and L. Melgar-García and R. Pérez-Chacón and C. Rubio-Escudero and A. Troncoso and J. C. Riquelme

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

Big Data, 8 (4), pp. 308-322, 2020.

Abstract | Links | BibTeX

A. M. Fernández and D. Gutiérrez-Avilés and A. Troncoso and F. Martínez-Álvarez

Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration Journal Article

Big Data Research, 19-20 , pp. 100135, 2020.

Abstract | Links | BibTeX

L. Melgar-García and D. Gutiérrez-Avilés and C. Rubio-Escudero and A. Troncoso

High-content screening images streaming analysis using the STriGen methodology Conference

SAC 35th Annual ACM Symposium on Applied Computing, 2020.

Links | BibTeX

2019

J. F. Torres and D. Gutiérrez-Avilés and A. Troncoso and F. Martínez-Álvarez

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

IWANN 15th International Work-Conference on Artificial Neural Networks, 11506 , Lecture Notes in Computer Science 2019.

Links | BibTeX

A. M. Fernández and D. Gutiérrez-Avilés and A. Troncoso and F. Martínez-Álvarez

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

SOCO 14th International Conference on Soft Computing Models in Industrial and Environmental Applications, Advances in Intelligent Systems and Computing 2019.

Links | BibTeX

2018

D. Gutiérrez-Avilés and R. Giráldez and F. J. Gil-Cumbreras and C. Rubio-Escudero

TRIQ: a new method to evaluate triclusters Journal Article

BioData Mining, 11 (1), pp. 15, 2018.

Abstract | Links | BibTeX

D. Gutiérrez-Avilés and J. A. Fábregas and J. Tejedor and F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

SmartFD: A real big data application for electrical fraud detection Conference

HAIS 13th International Conference on Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science 2018.

Links | BibTeX

2016

D. Gutiérrez-Avilés and C. Rubio-Escudero

TRIQ: A Comprehensive Evaluation Measure for Triclustering Algorithms Conference

Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings, Lecture Notes in Computer Science 2016.

Links | BibTeX

2015

D. Gutiérrez-Avilés and C. Rubio-Escudero

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

Evolutionary Bioinformatics, 11 , pp. 121—135, 2015.

Abstract | Links | BibTeX

F. Martínez-Álvarez and D. Gutiérrez-Avilés and A. Morales-Esteban and J. Reyes and J. L. Amaro-Mellado and C. Rubio-Escudero

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

Entropy, 17 (7), pp. 5000-5021, 2015.

Abstract | Links | BibTeX

2014

D. Gutiérrez-Avilés and C. Rubio-Escudero

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

The Scientific World Journal, 2014 , pp. 1-16, 2014.

Abstract | Links | BibTeX

D. Gutiérrez-Avilés and C. Rubio-Escudero

LSL: A new measure to evaluate triclusters Conference

2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2014.

Links | BibTeX

D. Gutiérrez-Avilés and C. Rubio-Escudero and F. Martínez-Álvarez and J.C. Riquelme

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

Neurocomputing, 132 , pp. 42-53, 2014.

Abstract | Links | BibTeX

2012

D. Gutiérrez-Avilés and F. Martínez-Álvarez and C. Rubio-Escudero and J. C. Riquelme

Finding motifs in DNA sequences Workshop

Spanish Conference on Technologies and Fuzzy Logic (ESTYLF'12), 2012.

BibTeX

2011

D. Gutiérrez-Avilés and C. Rubio-Escudero and J. C. Riquelme

Revisiting the yeast cell cycle problem with the improved TriGen algorithm Conference

2011 Third World Congress on Nature and Biologically Inspired Computing, 2011.

Links | BibTeX

16 entries « 1 of 2 »