Zobrazeno 1 - 10
of 264
pro vyhledávání: '"Hidalgo, Eduardo"'
Autor:
Perera-Lago, Javier, Toscano-Durán, Víctor, Paluzo-Hidalgo, Eduardo, Narteni, Sara, Rucco, Matteo
Machine learning algorithms are fundamental components of novel data-informed Artificial Intelligence architecture. In this domain, the imperative role of representative datasets is a cornerstone in shaping the trajectory of artificial intelligence (
Externí odkaz:
http://arxiv.org/abs/2404.09541
Autor:
Toscano-Durán, Víctor, Perera-Lago, Javier, Paluzo-Hidalgo, Eduardo, Gonzalez-Diaz, Rocío, Gutierrez-Naranjo, Miguel Ángel, Rucco, Matteo
In recent years, Deep Learning has gained popularity for its ability to solve complex classification tasks, increasingly delivering better results thanks to the development of more accurate models, the availability of huge volumes of data and the imp
Externí odkaz:
http://arxiv.org/abs/2403.15150
In this paper, we present SIMAP, a novel layer integrated into deep learning models, aimed at enhancing the interpretability of the output. The SIMAP layer is an enhanced version of Simplicial-Map Neural Networks (SMNNs), an explainable neural networ
Externí odkaz:
http://arxiv.org/abs/2403.15083
Data quality is crucial for the successful training, generalization and performance of machine learning models. We propose to measure the quality of a subset concerning the dataset it represents, using topological data analysis techniques. Specifical
Externí odkaz:
http://arxiv.org/abs/2306.02411
Simplicial map neural networks (SMNNs) are topology-based neural networks with interesting properties such as universal approximation ability and robustness to adversarial examples under appropriate conditions. However, SMNNs present some bottlenecks
Externí odkaz:
http://arxiv.org/abs/2306.00010
Autor:
Ali, Dashti, Asaad, Aras, Jimenez, Maria-Jose, Nanda, Vidit, Paluzo-Hidalgo, Eduardo, Soriano-Trigueros, Manuel
Attempts to incorporate topological information in supervised learning tasks have resulted in the creation of several techniques for vectorizing persistent homology barcodes. In this paper, we study thirteen such methods. Besides describing an organi
Externí odkaz:
http://arxiv.org/abs/2212.09703
Publikováno v:
In Journal of South American Earth Sciences 15 November 2024 148
Autor:
Bravo Cuevas, Victor Manuel, Amadoz, Uxue Villanueva, Jiménez-Hidalgo, Eduardo, Caballero, Elizabeth Ortiz
Publikováno v:
In Journal of South American Earth Sciences 1 November 2024 147
Publikováno v:
In Journal of South American Earth Sciences 1 October 2024 145
The automatic recognition of a person's emotional state has become a very active research field that involves scientists specialized in different areas such as artificial intelligence, computer vision or psychology, among others. Our main objective i
Externí odkaz:
http://arxiv.org/abs/2110.13571