Zobrazeno 1 - 10
of 654
pro vyhledávání: '"Díaz Rocío"'
Autor:
Torrero Díaz, Rocío
Publikováno v:
marcoELE. Revista de Didáctica Español Lengua Extranjera, Iss 31, Pp 1-26 (2020)
A pesar de los aportes teóricos y metodológicos que se han desarrollado en las últimas décadas, la entonación sigue siendo una asignatura pendiente en la clase de E/LE. Algunos métodos y enfoques han tratado el problema de la didáctica de la e
Externí odkaz:
https://doaj.org/article/64d744e059d44cbaa1289d3f8f8d0805
We introduce persistence matching diagrams induced by set mappings of metric spaces, based on 0-persistent homology of Vietoris-Rips filtrations. Also, we present a geometric definition of the persistence matching diagram that is more intuitive than
Externí odkaz:
http://arxiv.org/abs/2409.14954
Autor:
Nuria Polo Cano
Publikováno v:
Estudios de Lingüística del Español, Vol 42 (2020)
Externí odkaz:
https://doaj.org/article/f2288236a10845e6a81766366d91de5f
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:
Rajan, Adithya, Saunderson, Tom G., Lux, Fabian R., Díaz, Rocío Yanes, Abdullah, Hasan M., Bose, Arnab, Bednarz, Beatrice, Kim, Jun-Young, Go, Dongwook, Hajiri, Tetsuya, Shukla, Gokaran, Gomonay, Olena, Yao, Yugui, Feng, Wanxiang, Asano, Hidefumi, Schwingenschlögl, Udo, López-Díaz, Luis, Sinova, Jairo, Mokrousov, Yuriy, Manchon, Aurélien, Kläui, Mathias
Ferromagnets generate an anomalous Hall effect even without the presence of a magnetic field, something that conventional antiferromagnets cannot replicate but noncollinear antiferromagnets can. The anomalous Hall effect governed by the resistivity t
Externí odkaz:
http://arxiv.org/abs/2304.10747
Autor:
Anna M. Nogar
Publikováno v:
Early Modern Women: An Interdisciplinary Journal. 15:213-216
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::536493c266802e448e464c63b6c14322
https://doi.org/10.1353/emw.2021.0001
https://doi.org/10.1353/emw.2021.0001
Autor:
Antonio Hollmann
Publikováno v:
Clio. :309-312
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0e314608d0ec73a2253a5e436363ae8
https://doi.org/10.4000/clio.16755
https://doi.org/10.4000/clio.16755