Jose M. Moyano

About

Who Am I?

Hi, I'm Jose M. Moyano. I'm a Computer Science Ph.D. student at both University of Córdoba (Spain) and Virginia Commonwealth University (USA), under a dual Ph.D. program. I started the Ph.D. in October 2016, at the KDIS Research Group of the University of Córdoba. It is being 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 Bs.C. in Computer Science at University of Córdoba in 2014, and then th Ms.C. degree in the same university in 2016.

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

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

Finally, I'm also assistant professor at University of Córdoba, since course 2017/2018.

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Research publications

Journal papers

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, 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.

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.

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Total research papers

Q1 journal papers

Total cites

H-index

Source: Google Scholar (February 2020)

Teaching

3D Computer Graphics

4º Bs.C. in Computer Engineering. University of Córdoba.

Spring 2020. 16 hours.

Spring 2019. 24 hours.

Spring 2019. 16 hours.

Metaheuristics

3º Bs.C. in Computer Engineering. University of Córdoba.

Spring 2019. 14 hours.

Programming Methodology

1º Bs.C. in Computer Engineering. University of Córdoba.

Spring 2020. 12 hours.

Spring 2019. 6 hours.

Web Programming

3º Bs.C. in Computer Engineering. University of Córdoba.

Spring 2018. 48 hours.

Education

Ph.D. in Computer Science 2016 - currently

Ph.D. student 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.