About

Who Am I?

Hi, I'm Jose M. Moyano. I'm a Ph.D. in Computer Science and researcher at the KDIS Research Group of the University of Córdoba. The thesis, called "Multi-Label Classification Models for Heterogeneous Data: an Ensemble-based Approach", was defended on September 2020. It was developed enrolled in a dual Ph.D. program at both University of Córdoba (Spain) and Virginia Commonwealth University (USA), and supervised by Eva L. Gibaja, Krzysztof J. Cios, and Sebastián Ventura. This research was granted by the Spanish Ministry of Education under FPU Grant FPU15/02948, as well as by projects TIN2017-83445-P and TIN2014-55252-P. Further, I obtained the B.Sc. in Computer Science at University of Córdoba in 2014, and then th M.Sc. degree in the same university in 2016.

So far, I have published six journal articles (four of them as first author and Q1 journals), as well as seven papers in international conferences and seven in national conferences.

Finally, I am also teaching assistant at Menéndez Pelayo International University since course 2019/2020, and at University of Córdoba, from 2017 to 2020.

Research publications

Journal papers

Jose M. Moyano, Eva L. Gibaja, Krzysztof J. Cios, and Sebastián Ventura. (2020). Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms. Knowledge-Based Systems, 196: 105770. DOI: 10.1016/j.knosys.2020.105770. Bibtex.

Jose M. Moyano, Eva L. Gibaja, Krzysztof J. Cios, and Sebastián Ventura. (2019). An Evolutionary approach to build ensembles of multi-label classifiers. Information Fusion, 50: 168-180. DOI: 10.1016/j.inffus.2018.11.013. Bibtex.

Jose M. Moyano, Eva L. Gibaja, Krzysztof J. Cios, and Sebastián Ventura. (2018). Review of ensembles of multi-label classifiers: Models, experimental study and prospects. Information Fusion, 44: 33-45. DOI: 10.1016/j.inffus.2017.12.001. Bibtex.

Isaac Triguero, Sergio González, Jose M. Moyano, Salvador García, Jesús Alcalá-Fdez, Julián Luengo, Alberto Fernández, Maria José del Jesus, Luciano Sánchez, and Francisco Herrera. (2017). KEEL 3.0: An open source software for multi-stage analysis in data mining. International Journal of Computational Intelligence Systems, 10(1): 1238-1249. DOI: 10.2991/ijcis.10.1.82. Bibtex.

Jose M. Moyano, Eva L. Gibaja, and Sebastián Ventura. (2017). MLDA: A tool for analyzing multi-label datasets. Knowledge-Based Systems, 121: 1-3. DOI: 10.1016/j.knosys.2017.01.018. Bibtex.

Eva L. Gibaja, Jose M. Moyano, and Sebastián Ventura. (2016). An ensemble-based approach for multi-view multi-label classification. Progress in Artificial Intelligence, 5(4): 251-259. DOI: 10.1007/s13748-016-0098-9. Bibtex.

International conferences

Jose M. Moyano, Eva L. Gibaja, Krzysztof J. Cios, and Sebastián Ventura. (2020). Tree-shaped ensemble of multi-label classifiers using grammar-guided genetic programming. In 2020 IEEE Congress on Evolutionary Computation, CEC 2020. 1-8. DOI: 10.1109/CEC48606.2020.9185661. Bibtex.

Jose M. Moyano, Eva L. Gibaja, Krzysztof J. Cios, and Sebastián Ventura. (2020). Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms. In 24th European Conference on Artificial Intelligence, ECAI 2020, 1379-1386. DOI: 10.3233/FAIA200242. Bibtex.

Jose M. Moyano, Eva L. Gibaja, Sebastián Ventura, and Alberto Cano. (2019). Speeding Up Classifier Chains in Multi-Label Classification. In 4th International Conference on Internet of Things, Big Data and Security, IoTBDS 2019, 29-37. DOI: 10.5220/0007614200290037. Bibtex.

Oscar Reyes, Jose M. Moyano, Jose M. Luna, and Sebastián Ventura. (2018). A gene expression programming method for multi-target regression. In International Conference on Learning and Optimization Algorithms: Theory and Applications, LOPAL 2018, 2:1-2:6. DOI: 10.1145/3230905.3230910. Bibtex.

Jose M. Moyano, Eva L. Gibaja, and Sebastián Ventura. (2017). An evolutionary algorithm for optimizing the target ordering in ensemble of regressor chains. In 2017 IEEE Congress on Evolutionary Computation, CEC 2017, 2015-2021. DOI: 10.1109/CEC.2017.7969548. Bibtex.

Oliver Sánchez, Jose M. Moyano, Luciano Sánchez, and Jesús Alcalá-Fdez. (2017). Mining association rules in R using the package RKEEL. In 2017 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2017, 1-6. DOI: 10.1109/FUZZ-IEEE.2017.8015572. Bibtex.

Jose M. Moyano and Luciano Sánchez. (2016). RKEEL: Using KEEL in R code. In 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, 257-264. DOI: 10.1109/FUZZ-IEEE.2016.7737695. Bibtex.

Ph.D. thesis

Jose M. Moyano. (2020). Multi-Label Classification Models for Heterogeneous Data: an Ensemble-based Approach. Ph.D thesis. University of Córdoba (Spain) and Virginia Commonwealth University (USA). Dissertation. Slides. Bibtex.


National conferences

Oscar Reyes, Jose M. Moyano, Antonio Rivero-Juárez, Raúl M. Luque, Antonio Rivero, Justo Castaño, and Sebastián Ventura. (2018). Extracción de factores relevantes en el análisis de datos biomédicos: una metodología basada en técnicas de aprendizaje supervisado. In IX Simposio de Teoría y Aplicaciones de la Minería de Datos, TAMIDA 2018, CAEPIA 2018, 861-866. Available online. Bibtex.

Oscar Reyes, Jose M. Moyano, Jose M. Luna, and Sebastián Ventura. (2018). Resolviendo el problema de regresión multi-salida mediante Gene Expression Programming. In IX Simposio de Teoría y Aplicaciones de la Minería de Datos, TAMIDA 2018, CAEPIA 2018, 907-912. Available online. Bibtex.

Oscar Reyes, Jose M. Luna, Jose M. Moyano, Eduardo Pérez, and Sebastián Ventura. (2018). Resolución de problemas biomédicos mediante técnicas de extracción de conocimiento. In XVIII Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA 2018, 1252-1257. Available online. Bibtex.

Jose M. Moyano, Eva L. Gibaja, and Sebastián Ventura. (2016). Una herramienta para analizar conjuntos de datos multi-etiqueta. In XVII Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA 2016, 857-866. Available online. Bibtex.

Jose M. Moyano, Eva L. Gibaja, and Sebastián Ventura. (2015). Diseño automático de multi-clasificadores basados en proyecciones de etiquetas. In XVI Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA 2015, 355-365. Available online. Bibtex.

Eva L. Gibaja, Jose M. Moyano, and Sebastián Ventura. (2015). Combinación de vistas para clasificación multi-etiqueta: estudio preliminar. In VII Simposio de Teoría y Aplicaciones de la Minería de Datos, TAMIDA 2015, CAEPIA 2015, 759-768. Available online. Bibtex.

Jose M. Moyano, Eva L. Gibaja, Alberto Cano, Jose M. Luna, and Sebastián Ventura. (2015). Algoritmo evolutivo para optimizar ensembles de clasificadores multi-etiqueta. In X Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB 2015, 219-225. Available online. Bibtex.

Click here to see more publications.

Download full bibtex file.

20 Total research publications
4 Q1 journal papers
192 Total cites
5 H-index
Source: Google Scholar, October 2020
Teaching

Teaching

4º B.Sc. in Computer Engineering. University of Córdoba.

Spring 2020. 16 hours.

Spring 2019. 24 hours.

3º B.Sc. in Computer Engineering. University of Córdoba.

Spring 2020. 24 hours.

1º B.Sc. in Mechanical Engineering. University of Córdoba.

Spring 2018. 12 hours.

2º B.Sc. in Computer Engineering. University of Córdoba.

Spring 2020. 8 hours.

Spring 2019. 16 hours.

3º B.Sc. in Computer Engineering. University of Córdoba.

Spring 2019. 14 hours.

1º B.Sc. in Computer Engineering. University of Córdoba.

Spring 2020. 12 hours.

Spring 2019. 6 hours.

M.Sc. in Artificial Intelligence. Menéndez Pelayo International University.

Spring 2020. Teaching Assistant.

3º B.Sc. in Computer Engineering. University of Córdoba.

Spring 2018. 48 hours.


A Julia library for genetic algorithms in binary and integer representation, and grammatical evolution.

Manuel Rafael Luque Cuesta.

Grade: 10, with honors.

B.Sc. in Computer Engineering. University of Córdoba. July 2020.


A Julia library for genetic programming: GP, STGP, and GEP.

Sergio Gómez Morales.

Grade: 10, with honors.

B.Sc. in Computer Engineering. University of Córdoba. July 2020.

Education

Education

Ph.D. in Computer Science 2016 - 2020

Dual Ph.D. program at both University of Córdoba (Spain) and Virginia Commonwealth University (USA).

Hired by the University of Córdoba under a competitive FPU Grant from the Spanish Ministry of Education. Member of the KDIS Research Group and participant in national research projects.

The thesis is called "Multi-Label Classification Models for Heterogeneous Data: an Ensemble-based Approach", and it was done under the guidance of Dr. Eva L. Gibaja, Dr. Krzysztof J. Cios, and Dr. Sebastián Ventura as advisors.

M.Sc. in Computer Engineering 2014-2016

University of Córdoba (Spain).

Major in Computer Science.

B.Sc. in Computer Engineering 2010-2014

University of Córdoba (Spain).

Major in Computer Science.

Projects

Research-based GitHub Projects

RKEEL

RKEEL

Package to use KEEL algorithms from R code.

MLDA

MLDA

Multi-label dataset analyzer (GUI and Java API).

EME

EME

Evolutionary multi-label ensemble.

EAGLET

EAGLET

Evolutionary algorithm for the combination of accurate and diverse multi-label classifiers.

G3P-kEMLC

AG3P-kEMLC

An auto-adaptive grammar-guided genetic programming algorithm to create tree-shaped ensembles of multi-label classifiers.

G3P-kEMLC

CCEA-EMLCs

Cooperative coevolutionary algorithm to build ensembles of multi-label classifiers.

ParallelCC

Parallel CC

A parallel implementation of multi-label classifier chains.

ExecuteMulan

Execute Mulan

A library to execute multi-label methods from Mulan.

Personal GitHub Projects

RamhacksTelegramBot

Ramhacks Telegram Bot

A telegram bot implemented for RamHacks 2019. Solving a parking slots reservation problem.

LatexCourse

Latex course

Repository with slides and examples of a LaTeX introductory course. In spanish.

Get in Touch

Contact

KDIS Research Group Lab.

Rabanales Campus, Einstein building (C2), basement.

University of Córdoba, Spain.