Welcome to Aurora Esteban's personal site! I'm a Ph.D. student in Computer Science at the KDIS Research Group of the University of Córdoba. My research is focus on machine learning, sequential data, multi-instance and multi-label learning, and the explainability of models. My project of thesis is entitled "New Models for Anomaly Detection in Data Streams", developed under supervision of Dr. Amelia Zafra and Dr. Sebastián Ventura. This research is focused on exploring new ways of obtaining information from sequential data using non convetional learning. These models aim to increase the flexibility in the input and output format of the data, to allow learning from weakly labeled data, and to produce interpretable and explainable predictions, always taking into account the temporal relationships present in data. As a field of validation and applicability, these models are implemented in cyber-phisical systems to predictive maintenance problems.
I also have other research interests related with educational data mining, where I've explored the applicability of recommendation systems, evolutionary computation, and multi-instance classification to address different problems related with learning engagment in education.
So far, I have published three journal articles, as well as two papers in international conferences and three in Spanish conferences.
Finally, I am also teaching assistant at the Department of Computer Science and Numerical Analysis of the University of Córdoba since 2019.
Aurora Esteban, Amelia Zafra, and Sebastiá Ventura, "Data Mining in Predictive Maintenance Systems: A Taxonomy and Systematic Review," WIREs Data Mining and Knowledge Discovery, pp1—45, 2022, doi: 10.1002/widm.1471. Bibtext.
Aurora Esteban, Cristóbal Romero, and Amelia Zafra, "Assignments as Influential Factor to Improve the Prediction of Student Performance in Online Courses," Applied Sciences, vol. 11, pp. 1—26, 2021, doi: 10.3390/app112110145. Bibtext.
Aurora Esteban, Amelia Zafra, and Cristóbal Romero, "Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization," Knowledge-Based Systems, vol. 194, pp. 1—14, 2020, doi: 10.1016/j.knosys.2019.105385. Bibtext.
Aurora Esteban, Amelia Zafra, and Sebastián Ventura, "A Preliminary Study on Evolutionary Clustering for Multiple Instance Learning," in 2020 IEEE Congress on Evolutionary Computation, CEC 2020, 2020, pp. 1—8, doi: 10.1109/CEC48606.2020.9185588. Bibtext.
Aurora Esteban, Amelia Zafra, and Cristóbal Romero, "A hybrid multi-criteria approach using a genetic algorithm for recommending courses to university students," in Proceedings of the 11th International Conference on Educational Data Mining, EDM 2018, 2018, pp. 273—279. Bibtext.
Álvaro Espejo, Aurora Esteban, Jose M. Moyano, Jose M. Luna, Antonio Molina, Sebastián Ventura, "MANPREDIC : Un Sistema para el Mantenimiento Predictivo de Plataformas Terrestres del Ejército de Tierra," in IX Congreso Nacional de I+D en Defensa y Seguridad, 2022, pp. 136—145. Bibtext.
Aurora Esteban, Amelia Zafra, and Sebastián Ventura, "Estudio comparativo de medidas de disimilitud para Clustering Multi-Instancia," in CAEPIA 20/21: Actas de la XIX Conferencia de la Asociación Española para la Inteligencia Artificial, 2021, pp. 673—678. Bibtext.
Aurora Esteban, Amelia Zafra, and Cristóbal Romero, "La relevancia de las Actividades para Predecir el Rendimiento Académico en los Cursos a Distancia. Un Enfoque Basado en Múltiples Instancias," in Actas de las IV Jornadas Andaluzas de Informática, JAI 2019, 2019, pp. 65—68. Bibtext.
Aurora Esteban, Amelia Zafra, and Cristóbal Romero, "Un Sistema de Recomendación de Asignaturas Multi-Criterio con Optimización Genética," in Actas de la XVIII Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA 18, 2018, pp. 802—807. Bibtext.
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Intelligent Systems
2º B.Sc. in Computer Engineering. University of Córdoba.
Spring 2023. 30 hours.
Spring 2022. 48 hours.
Spring 2021. 48 hours.
Formal Methods in Software Engineering
2º B.Sc. in Computer Engineering. University of Córdoba.
Spring 2023. 30 hours.
Spring 2022. 12 hours.
Spring 2021. 12 hours.
Networks
4º B.Sc. in Computer Engineering. University of Córdoba.
Fall 2019. 15 hours.
Fall 2018. 15 hours.
Intelligent Systems
2º B.Sc. in Computer Engineering. University of Córdoba.
Spring 2018. 15 hours.
Mobile Application for Courses Recommendation in University studies II.
Moises Béjar Serrano.
Grade: 10, with honors.
B.Sc. in Computer Engineering. University of Córdoba. September 2018.
Tutorials (request an appointment in advance by email):
Tuesday from 9:00 to 12:00
University of Córdoba (Spain).
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 "New Models for Anomaly Detection in Data Streams", under the guidance of Dr. Amelia Zafra and Dr. Sebastián Ventura as advisors.
University of Córdoba (Spain).
Major in Computer Science.
University of Córdoba (Spain).
Major in Computer Science.