DataScience@UB designs and prototype a machine that includes an intelligent vision system based on semantic segmentation through convolutional neural networks to automate the classification of leather.
Predictive Model of user behavior
The problem to resolve from the point of view of business, is to generate leads of value, from calls, mails, ads on the web, etc. that take into account the status of each user in his customer journey. The objective is to determine the state in which the user is in the buying process to provide valuable offers and to better meet their needs.
We have defined an analytical model that takes into account the temporal events that represent the client’s interactions with the company, so that it can be determined in each possible time period what is the most appropriate marketing action and what is the probability of success of each action. This information must allow in the first instance to make an informed decision for the data to those responsible for initiating the actions.
Thanks to the emerging technologies of e-Learning, the analysis of data offers professionals in the education sector, advantages with the ability to impact and revolutionize in the future the way we analyze and evaluate the learning experience.
Within the framework of the Cartographic Plan of Catalonia, the Cartographic and Geological Institute of Catalonia is working on the elaboration of the technical specifications of the land covers Map of Catalonia. The ICGC has commissioned us a study to explore the viability of the application of deep learning techniques in the generation of maps.