Here you will find the final projects I have tutored:
Also, you will find the Teaching Innovation Projects I have been involved in.
| Year | Author | Title |
|---|---|---|
| 2023/2024 | ||
| 2 | Pedro J. Torres González | Introducing class weights into ordinal regression for dealing with imbalanced problems |
| 2021/2022 | ||
| 1 | Rafael Ayllón Gavilán | Ordinal classification techniques for time series |
| Year | Author | Title |
|---|---|---|
| 2023/2024 | ||
| 12 | Laura Martín Lozano | Scientific programming in Python for physics undergraduate students |
| 11 | Victoria Pradas Laguna | Sales forecasting: a holistic approach with time series and machine learning |
| 10 | Cristian Torres Pérez de Gracia | Development of KDLOR, SVC1V1 and SVC1VA ordinal sorting algorithms for ORCA-Python |
| 9 | Antonio F. Espejo Santofimia | Kickboxing tourney: web application for the administration of kickboxing competitions |
| 2022/2023 | ||
| 8 | Manuel J. Cabrera Delgado | Integration of CSSVC algorithm and regression algorithm wrapper in ORCA-Python |
| 7 | Alberto Adamuz Priego | Stealthy Spy, a platform game for Android devices |
| 2021/2022 | ||
| 6 | Antonio Ramírez Pareja | GoRegister: web application for the control and management of attendance at events |
| 5 | Jesús Bueno Ruiz | OrdClass: web application for the analysis of ordinal classification problems |
| 2020/2021 | ||
| 4 | Adrián López Ortiz | Artificial Neural Network Training Algorithms for the Orca-Python Library |
| 2019/2020 | ||
| 3 | Victoriano Pedrajas Fernández | Recovering Time Series: application to Wave Height Problems |
| 2018/2019 | ||
| 2 | Pedro J. Villalón Vaquero | Machine learning applied to the survival analysis in liver transplantation |
| 2017/2018 | ||
| 1 | Miguel Díaz Lozano | Development of a Python framework for time series prediction using machine learning algorithms |