Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Rafael M. Martins"'
Publikováno v:
Education Sciences, Vol 13, Iss 12, p 1190 (2023)
Learning Analytics Dashboards (LADs) can help provide insights and inform pedagogical decisions by supporting the analysis of large amounts of educational data, obtained from sources such as Digital Learning Materials (DLMs). Extracting requirements
Externí odkaz:
https://doaj.org/article/714df998a92f43ddb8d68ab4d1370212
SBGTool v2.0: An Empirical Study on a Similarity-Based Grouping Tool for Students’ Learning Outcomes
Publikováno v:
Data, Vol 7, Iss 7, p 98 (2022)
Visual learning analytics (VLA) tools and technologies enable the meaningful exchange of information between educational data and teachers. This allows teachers to create meaningful groups of students based on possible collaboration and productive di
Externí odkaz:
https://doaj.org/article/03604cc2841e44388d92e8ddf6e4dae7
Autor:
Daniela I. Staquicini, Rafael M. Martins, Silene Macedo, Gisela R. S. Sasso, Vanessa D. Atayde, Maria A. Juliano, Nobuko Yoshida
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 4, Iss 5 (2010)
Externí odkaz:
https://doaj.org/article/8e19f5184b7043edac58b89a0135fa6d
Autor:
Stef van den Elzen, Gennady Andrienko, Natalia Andrienko, Brian D. Fisher, Rafael M. Martins, Jaakko Peltonen, Alexandru C. Telea, Michel Verleysen
Publikováno v:
IEEE Computer Graphics and Applications, 43(2), 78-88. IEEE Computer Society
We present a conceptual framework for the development of visual interactive techniques to formalize and externalize trust in machine learning (ML) workflows. Currently, trust in ML applications is an implicit process that takes place in the user-s mi
Autor:
Christophe Menichelli, Vincent Guitard, Rafael M Martins, Sophie Lèbre, Jose-Juan Lopez-Rubio, Charles-Henri Lecellier, Laurent Bréhélin
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 4, p e1008909 (2021)
Long regulatory elements (LREs), such as CpG islands, polydA:dT tracts or AU-rich elements, are thought to play key roles in gene regulation but, as opposed to conventional binding sites of transcription factors, few methods have been proposed to for
Externí odkaz:
https://doaj.org/article/cf5822cce8d34a898e0891104f9f2d10
Publikováno v:
Information Visualization. 22:115-139
Bagging and boosting are two popular ensemble methods in machine learning (ML) that produce many individual decision trees. Due to the inherent ensemble characteristic of these methods, they typically outperform single decision trees or other ML mode
Publikováno v:
Information Visualization. 21:335-353
Comparing text documents is an essential task for a variety of applications within diverse research fields, and several different methods have been developed for this. However, calculating text similarity is an ambiguous and context-dependent task, s
Autor:
Anderson S. Cabral, Maysa M. Clementino, Alexandre Buzzani, Kayo Bianco, Marianne P. Mello, Fernando Hepp Pulgati, Fernanda Abreu, Rafael M. Martins, Rodolfo Paranhos, Anderson Aquino dos Santos
Publikováno v:
Hydrobiologia. 849:175-196
Autor:
Anderson S. Cabral, Rodolfo Paranhos, Mariana M. Lessa, Rafael M. Martins, Fernando Hepp Pulgati, Marianne P. Mello
Publikováno v:
Hydrobiologia. 847:4125-4140
Only a few studies have reported on viral dynamics in estuarine environments, and the factors regulating viral ecology are not well known. We herein aimed to address the factors controlling virus–host relationships in tropical estuaries. To accompl
Autor:
Serge Urbach, Diane-Ethna Mbang-Benet, Rafael M Martins, Pratima Gurung, Jose-Juan Lopez-Rubio, Stefan Juranek, Ana Rita Gomes, Patrizia Alberti, Vincent Guitard, Katrin Paeschke, Elodie Gazanion
Publikováno v:
Cellular Microbiology
Cellular Microbiology, 2021, 23 (4), pp.e13303. ⟨10.1111/cmi.13303⟩
Cellular Microbiology, Wiley, 2021, 23 (4), pp.e13303. ⟨10.1111/cmi.13303⟩
Cellular Microbiology, 2021, 23 (4), pp.e13303. ⟨10.1111/cmi.13303⟩
Cellular Microbiology, Wiley, 2021, 23 (4), pp.e13303. ⟨10.1111/cmi.13303⟩
International audience; Guanine-quadruplexes (G4s) are non-canonical DNA structures that can regulate key biological processes such as transcription, replication and telomere maintenance in several organisms including eukaryotes, prokaryotes and viru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e51b44f83028ca2f9319f11ab1c90e00
https://hal.umontpellier.fr/hal-03152279
https://hal.umontpellier.fr/hal-03152279