Research Lines
The lab's research focuses on machine learning and its applications. We are interested in the foundations of machine learning and how it is used to solve challenging problems.
Natural Language Processing
Topics of interest:
- Topic 1:
Question answering for information retrieval and entity extraction. - Topic 2:
Author profiling for determining a social group of an unknown author. - Topic 3:
Source code analysis for automated testing of source code.
Related Publications (Thesis):
| Type | Year | Author | Title |
|---|---|---|---|
| Master Thesis | 2020 | Santiago Ceballos Gallego | Diseño de una estrategia de limpieza y estandarización de direcciones postales a través de redes neurales recurrentes tipo LSTM |
| Master Thesis | 2019 | Elkin Alejandro Cruz Camacho | Static Analysis of Python Programs using Abstract Interpretation: An Application to Tensor Shape Analysis |
| Master Thesis | 2019 | Lina Fernanda Rosales Castro | Automatic source code analysis forassessment of solutions toprogramming tasks |
| Master Thesis | 2018 | Sebastián Ernesto Sierra Loaiza | Automatic authorship analysis using Deep neural networks |
| Master Thesis | 2017 | Jorge Mario Carrasco Ortiz | Agrupacion de textos cortos para el analisis de temas latentes de investigacion en un conjunto de datos de proyectos deinvestigacion |
| Master Thesis | 2016 | Alvaro Agustin Oñate Bowen | Análisis de la Deserción y Permanencia Académica enla Educación Superior Aplicando Minería De Datos |
| Master Thesis | 2015 | Vanessa PaolaBlanco Villafañe | Análisis del Desempeño Académico del Examen de Estado para el Ingreso a la Educación Superior Aplicando Minería de Datos |
| Master Thesis | 2013 | Camilo Ernesto López Guarín | Data mining model to predict academic performance at the Universidad Nacional de Colombia |