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.
Multimodal Learning
Topics of interest:
- Topic 1:
Models for learning an intermediate representation through multimodal information fusion. - Topic 2:
Models that take advantage of additional information provided by multimodal data, and combining them, using data fusion techniques to improve information retrieval performance.
Related Publications (Thesis):
Type | Year | Author | Title |
---|---|---|---|
Master Thesis | 2019 | Juan Felipe Baquero Vargas | An information retrieval strategy for large multimodal data collections involving source code and natural language |
Master Thesis | 2019 | Victor Hugo Contreras Ordoñez | Multimodal non-linear latent semantic method for information retrieval |
Master Thesis | 2018 | Fabián Andrés Gómez Meneses | Automatic Activity Recognition by means of Wearable Sensors and Supervised Learning Techniques |
Doctoral Thesis | 2018 | Gustavo Alfredo Bula | Vehicle routing for hazardous material transportation |
Doctoral Thesis | 2018 | John Edilson Arevalo Ovalle | Multimodal representation learning with neural networks |
Doctoral Thesis | 2018 | Jorge Andrés Vanegas Ramírez | Large-scale non-linear multimodal semantic embedding |
Master Thesis | 2017 | Samier Said Barguil Giraldo | BIOPROSPECTUS: Information fusion and search to support bioproduct development |
Master Thesis | 2016 | Juan Sebastian Otálora Montenegro | A framework for interactive training of automatic image analysis models based on learned image representations, active learning, and visualization techniques |
Master Thesis | 2016 | Oscar Hernán Paruma Pabón | Analysis and visualization of multimodal socio-technical information of free/libre and open source software (FLOSS) Projects |
Master Thesis | 2015 | Fabián Mauricio Páez Rivera | Human action video retrieval |
Master Thesis | 2015 | Luis Alejandro Riveros Cruz | knowledge-based approach to information retrieval in collections of textual documents of the biomedical domain |
Master Thesis | 2015 | Jhon Jairo Anaya Díaz | Sistema prototipo para la estimación del comportamiento del índice de calidad del aire usando técnicas de aprendizaje computacional |
Doctoral Thesis | 2015 | Angel Alfonso Cruz Roa | Data-driven Representation Learning from Histopathology Image Databases to Support Digital Pathology Analysis |
Doctoral Thesis | 2014 | Jorge Eliécer Camargo Mendoza | A strategy for interactive exploration of multimodal image collections |
Master Thesis | 2013 | Jorge Andrés Vanegas Ramírez | Medical Image Retrieval Using Multimodal Semantic Indexing |
Master Thesis | 2012 | José Guillermo Moreno Franco | Recuperación de Imágenes en Artículos Científicos usando estrategias de Anotación Automática |
Doctoral Thesis | 2012 | Juan Carlos Caicedo Rueda | Multimodal information spaces for content-based image retrieval |