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pro vyhledávání: '"Domínguez, César A"'
In this paper we describe the mathematical foundations of a new approach to semi-supervised Machine Learning. Using techniques of Symbolic Computation and Computer Algebra, we apply the concept of persistent homology to obtain a new semi-supervised l
Externí odkaz:
http://arxiv.org/abs/2301.11658
Nowadays, Machine Learning and Deep Learning methods have become the state-of-the-art approach to solve data classification tasks. In order to use those methods, it is necessary to acquire and label a considerable amount of data; however, this is not
Externí odkaz:
http://arxiv.org/abs/2205.09617
Autor:
Inés, Adrián, Díaz-Pinto, Andrés, Domínguez, César, Heras, Jónathan, Mata, Eloy, Pascual, Vico
The development of mobile and on the edge applications that embed deep convolutional neural models has the potential to revolutionise biomedicine. However, most deep learning models require computational resources that are not available in smartphone
Externí odkaz:
http://arxiv.org/abs/2205.09678
Autor:
Núñez, Rubén, Moreno, Marcos, Herrero, Rebeca, Askins, Steve, Antón, Ignacio, Domínguez, César
Publikováno v:
In Solar Energy Materials and Solar Cells January 2025 279
Background and objectives. Domain shift is a generalisation problem of machine learning models that occurs when the data distribution of the training set is different to the data distribution encountered by the model when it is deployed. This is comm
Externí odkaz:
http://arxiv.org/abs/2112.09043
Forms are a widespread type of template-based document used in a great variety of fields including, among others, administration, medicine, finance, or insurance. The automatic extraction of the information included in these documents is greatly dema
Externí odkaz:
http://arxiv.org/abs/2112.07443
Publikováno v:
In Environmental Impact Assessment Review May 2024 106
Publikováno v:
In Neurocomputing 7 February 2024 569