Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Senén Barro"'
Autor:
Lorena Casal-Otero, Alejandro Catala, Carmen Fernández-Morante, Maria Taboada, Beatriz Cebreiro, Senén Barro
Publikováno v:
International Journal of STEM Education, Vol 10, Iss 1, Pp 1-17 (2023)
Abstract The successful irruption of AI-based technology in our daily lives has led to a growing educational, social, and political interest in training citizens in AI. Education systems now need to train students at the K-12 level to live in a socie
Externí odkaz:
https://doaj.org/article/2359e8d7dd144da8bc7efed85b135789
Autor:
Senén Barro, Sara Fernández
Publikováno v:
Journal of Innovation Management, Vol 4, Iss 2, Pp 16-29 (2016)
Universities play a crucial role in the systems of innovation by transferring the results of R&D activities to society and industry. This contribution is even more important in the Ibero-American countries given that the other critical ‘player’ (
Externí odkaz:
https://doaj.org/article/e329e8efd56c4671a8cfc96dbe741526
Autor:
Fernando E. Casado, Germán Rodríguez, Roberto Iglesias, Carlos V. Regueiro, Senén Barro, Adrián Canedo-Rodríguez
Publikováno v:
Sensors, Vol 20, Iss 4, p 1189 (2020)
Presently, smartphones are used more and more for purposes that have nothing to do with phone calls or simple data transfers. One example is the recognition of human activity, which is relevant information for many applications in the domains of medi
Externí odkaz:
https://doaj.org/article/6f424b809b374c2a886d9554080721d5
Autor:
Senén Barro
Publikováno v:
Journal of Innovation Management, Vol 3, Iss 1, Pp 9-13 (2015)
This article reflects on the concept of “Entrepreneurial University” and, in particular, on the need for university education, and in general all educational stages, to focus on students' executive intelligence, and not exclusively on cognitive a
Externí odkaz:
https://doaj.org/article/1735460f25204eae9d53569ce7a03e8d
Autor:
David Santos, Eric Lopez-Lopez, Xosé M. Pardo, Roberto Iglesias, Senén Barro, Xosé R. Fdez-Vidal
Publikováno v:
Sensors, Vol 19, Iss 18, p 4024 (2019)
Scene recognition is still a very important topic in many fields, and that is definitely the case in robotics. Nevertheless, this task is view-dependent, which implies the existence of preferable directions when recognizing a particular scene. Both i
Externí odkaz:
https://doaj.org/article/8020ab5599d845aeb69c9a6ceafd4f59
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:6184-6195
The Support Vector Machine (SVM) is a state-of-the-art classifier that for large datasets is very slow and requires much memory. To solve this defficiency, we propose the Fast Support Vector Classifier (FSVC) that includes: 1) an efficient closed-for
Publikováno v:
Machine Learning.
Federated learning is the state-of-the-art paradigm for training a learning model collaboratively across multiple distributed devices while ensuring data privacy. Under this framework, different algorithms have been developed in recent years and have
Publikováno v:
Neurocomputing. 489:1-8
Publikováno v:
Neural Computing and Applications. 34:5923-5938
Publikováno v:
Neural Processing Letters.