Cárdenas Domínguez, Martha Ivón (Date of defense: 2017-09-18)
Arguably, drug research has contributed more to the progress of medicine during the past decades than any other scientific factor. One of the main areas of drug research is related to the analysis of ...
Muñoz Gama, Jorge (Date of defense: 2014-12-19)
In the last decades, the capability of information systems to generate and record overwhelming amounts of event data has experimented an exponential growth in several domains, and in particular in ...
Sánchez Charles, David (Date of defense: 2017-09-18)
Crowdsourcing, the art of involving several individuals in the decentralized execution of business activities, is being positioned as the replacement of outsourcing, as it allows organization to reach ...
Ferrés Domènech, Daniel (Date of defense: 2017-11-29)
Geographical Information Access (GeoIA) can be defined as a way of retrieving information from textual collections that includes the automatic analysis and interpretation of the geographical constraints ...
Naderi, Ali M. (Date of defense: 2016-02-10)
Nowadays, the human textual data constitutes a great proportion of the shared information resources such as World Wide Web (WWW). Social networks, news and learning resources as well as Knowledge Bases ...
Franco Bedoya, Oscar Hernán (Date of defense: 2018-02-27)
Background: Open source software (OSS) and software ecosystems (SECOs) are two consolidated research areas in software engineering. The adoption of OSS by firms, governments, researchers and practitioners ...
Civit Flores, Óscar (Date of defense: 2016-02-01)
This thesis focuses on the interactive simulation of highly detailed deformable solids modelled with the Corotational Finite Element Method. Starting from continuum mechanics we derive the discrete ...
Tosi, Alessandra (Date of defense: 2014-12-19)
Over the last few decades, data analysis has swiftly evolved from being a task addressed mainly within the remit of multivariate statistics, to an endevour in which data heterogeneity, complexity and ...
Ruffini, Matteo (Date of defense: 2019-02-14)
Learning latent variable models is a fundamental machine learning problem, and the models belonging to this class - which include topic models, hidden Markov models, mixture models and many others - ...
Madhyastha, Pranava Swaroop (Date of defense: 2017-07-25)
There has been an exponential surge of text data in the recent years. As a consequence, unsupervised methods that make use of this data have been steadily growing in the field of natural language ...