BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs

Autor: Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, Paul Groth

Publikováno v: Journal of Biomedical Semantics, Vol 14, Iss 1, Pp 1-19 (2023)

Abstract Background Knowledge graphs (KGs) are an important tool for representing complex relationships between entities in the biomedical domain. Several methods have been proposed for learning embeddings that can be used to predict new links in suc

Externí odkaz: https://doaj.org/article/3b9a77a69f5b4507a0fc94b7071e85ba

Effect of Essential Oils from Lemongrass and Tahiti Lime Residues on the Physicochemical Properties of Chitosan-Based Biodegradable Films

Autor: Luis Daniel Daza, Miguel Ángel Montealegre, Angélica Sandoval Aldana, Mónica Obando, Henry Alexander Váquiro, Valeria Soledad Eim, Susana Simal

Publikováno v: Foods, Vol 12, Iss 9, p 1824 (2023)

This work aimed to evaluate the impact of adding two essential oils (EO) from lemongrass (LEO) and Tahiti lime (TLEO) on the physical, mechanical, and thermal properties of chitosan-based biodegradable films. Six film formulations were prepared: two

Externí odkaz: https://doaj.org/article/4f0b79d8040241ce8394bbd425a52076

Influence of Ulluco Starch Concentration on the Physicochemical Properties of Starch–Chitosan Biocomposite Films

Autor: Luis Daniel Daza, Valeria Soledad Eim, Henry Alexander Váquiro

Publikováno v: Polymers, Vol 13, Iss 23, p 4232 (2021)

This work aimed to prepare ulluco starch (US)/chitosan (Ch) edible films and evaluate the effect of the concentration of US on their physicochemical properties. The use of edible films is a means of adding value to the ulluco crop and evaluating the

Externí odkaz: https://doaj.org/article/82c16941f26049f59ac32db562f3eb74

Physicochemical, structural, and thermal characterization of biodegradable film prepared using arracacha thermoplastic starch and polylactic acid

Autor: Andrea Milena Sánchez Riaño, Evelyn Melissa Alegría Vivas, Helga Patricia Bermeo Andrade, Yanneth Bohórquez Pérez, Héctor Samuel Villada Castillo, Luis Daniel Daza, Claudia Patricia Valenzuela Real

Publikováno v: Journal of Food Measurement and Characterization. 16:3597-3606

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::32dc6294876a9b026e735d5fb829bc33
https://doi.org/10.1007/s11694-022-01491-2

Complex Query Answering with Neural Link Predictors (Extended Abstract)

Autor: Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez

Publikováno v: Vrije Universiteit Amsterdam
Minervini, P, Arakelyan, E, Daza, D & Cochez, M 2022, Complex Query Answering with Neural Link Predictors (Extended Abstract) . in L De Raedt (ed.), Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022) . IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, pp. 5309-5313, 31st International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23/07/22 . < https://www.ijcai.org/proceedings/2022/0741.pdf >

Neural link predictors are useful for identifying missing edges in large scale Knowledge Graphs. However, it is still not clear how to use these models for answering more complex queries containing logical conjunctions (∧), disjunctions (∨), and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc87939bd1b5b9da91e39cab3a98065a
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