Zobrazeno 1 - 10
of 2 800
pro vyhledávání: '"Egaña A"'
Autor:
Aranguren, Mikel Egaña
The Transparent Relations Ontology (TRO) offers a vocabulary to publish data about relations between powerful parties that should be more transparent, in order to detect possible conflicts of interest. TRO is based on minimal modelling, reusing commo
Externí odkaz:
http://arxiv.org/abs/2410.07154
We present new results to model and understand the role of encoder-decoder design in machine learning (ML) from an information-theoretic angle. We use two main information concepts, information sufficiency (IS) and mutual information loss (MIL), to r
Externí odkaz:
http://arxiv.org/abs/2405.20452
Publikováno v:
Neural Comput and Applic 34, 20477 to 20490, 2022
In recent years, Deep Neural Network models have been developed in different fields, where they have brought many advances. However, they have also started to be used in tasks where risk is critical. A misdiagnosis of these models can lead to serious
Externí odkaz:
http://arxiv.org/abs/2402.07496
The reach of sub-GeV dark-matter detectors is at present severely affected by low-energy events from various origins. We present the theoretical methods to compute the single- and few-electron events that arise from secondary radiation emitted by hig
Externí odkaz:
http://arxiv.org/abs/2310.03068
Publikováno v:
Advances in Science and Research, Vol 21, Pp 41-48 (2024)
This paper introduces the Basque Country impact weather catalogue, a versatile tool designed, developed, and maintained by the Basque Meteorology Agency (Euskalmet), with the primary objective of systematically recording detailed information regardin
Externí odkaz:
https://doaj.org/article/913fb74c531a4dbebaa92f4b277bdd3c
Publikováno v:
Advances in Science and Research, Vol 21, Pp 27-39 (2024)
In this study, the focus is on the characterization of floods in Basque Autonomous Community, considering damages, hydrometeorological aspects and others factors during the period 2000–2021. The ultimate goal is to contribute to understanding the p
Externí odkaz:
https://doaj.org/article/2bc67ab119084fe4992c3aa2436e8f21
The proper selection of materials and surface treatment is critical in ensuring the strength, durability, and safety of metal structures in various environments. Therefore, this project is being developed in collaboration with Aurobay Company to expl
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-22941
Autor:
Tiffenberg, Javier, Egaña-Ugrinovic, Daniel, Haro, Miguel Sofo, Du, Peizhi, Essig, Rouven, Fernandez-Moroni, Guillermo, Uemura, Sho
Existing Charge-Coupled Devices (CCDs) operate by detecting either the electrons or holes created in an ionization event. We propose a new type of imager, the Dual-Sided CCD, which collects and measures both charge carriers on opposite sides of the d
Externí odkaz:
http://arxiv.org/abs/2307.13723
Publikováno v:
Revista Interamericana de Bibliotecología, Vol 47, Iss 3, Pp 1-11 (2024)
En este artículo se presenta una modalidad de evaluación formativa con el objetivo de plantear otra mirada sobre los procesos de enseñanza desde la aplicación de estrategias para el aprendizaje significativo. La experiencia se ha puesto en práct
Externí odkaz:
https://doaj.org/article/0e5bd752eb4648009684705846d35e77
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-29 (2024)
Abstract This paper introduces a new latent variable probabilistic framework for representing spectral data of high spatial and spectral dimensionality, such as hyperspectral images. We use a generative Bayesian model to represent the image formation
Externí odkaz:
https://doaj.org/article/1b5285902e744f3bab103cc8f3a6311a