With all its inherent difficulties, anticipating the behaviour of personal accounts is a challenge that holds a special place in any modern platform of intelligent banking services. For this reason, we have been investigating in collaboration with BBVA D&A the best way to tackle this problem. This week we have presented some results in the Workshop on Machine Learning for Spatiotemporal Forecasting as part of the NIPS 2016 conference. Our contribution is entitled “Evaluating uncertainty scores for deep regression networks in financial short time series forecasting”.
DataScience@UB is among the 5 finalists of the MWSC 2019, with the project "Wireless Capsule Endoscopy Diagnosis by AI"
The DataScience@UB research group with the “Wireless Capsule Endoscopy Diagnosis by AI” lead by Santi Seguí and Jordi Vitrià has been selected from the 5 finalists of the Mobile World Scholar Challenge 2019 in the topic Deep Learning.
DataScience@UB obtains the accreditation of TECNIO center
DataScience@UB obtains the accreditation of TECNIO center, the developer of the most innovative technologies and facilitator that participates in the process of transfer of technology and knowledge to the company.
The General Management of Development Cooperation commissioned DataScience@UB to organize the debate session on the participatory process ‘Vision 2030: The Catalan contribution to global development’, devoted to the world of data in the field of development cooperation .