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Akademický článek

Pairing physical and sensory properties of dysphagia thickeners to understand disliking

Autor: R. Baixauli, A. Dobiašová, A. Tarrega, L. Laguna

Publikováno v: Food Hydrocolloids for Health, Vol 3, Iss , Pp 100140- (2023)

Patients with dysphagia who adhere to drinking thickened water is still a challenge, as patients dislike it and it does not quench their thirst. The objective of this study was to relate the physical properties of six commercial thickeners based on g

Externí odkaz: https://doaj.org/article/ab6df8077ad64bec93a3ac77fbcbc68f

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Mapping groups associated with real-valued function spaces and direct limits of Sobolev-Lie groups

Autor: Glockner, Helge, Tarrega, Luis

Let $M$ be a compact smooth manifold of dimension $m$ (without boundary) and $G$ be a finite-dimensional Lie group, with Lie algebra $g$. Let $H^{>m/2}(M,G)$ be the group of all mappings $\gamma\colon M\to G$ which are $H^s$ for some $s>m/2$. We show

Externí odkaz: http://arxiv.org/abs/2210.01246

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No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling

Autor: Silva, Marília Costa Rosendo, Siqueira, Felipe Alves, Tarrega, João Pedro Mantovani, Beinotti, João Vitor Pataca, Nunes, Augusto Sousa, Gardini, Miguel de Mattos, da Silva, Vinícius Adolfo Pereira, da Silva, Nádia Félix Felipe, de Carvalho, André Carlos Ponce de Leon Ferreira

Extracting knowledge from unlabeled texts using machine learning algorithms can be complex. Document categorization and information retrieval are two applications that may benefit from unsupervised learning (e.g., text clustering and topic modeling),

Externí odkaz: http://arxiv.org/abs/2208.01712

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