Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Eliana Ibrahimi"'
Publikováno v:
Journal of Technology and Science Education, Vol 14, Iss 2, Pp 405-417 (2024)
Many studies have recently focused on the importance of the effective integration of Information and Communication Technology (ICT) tools in science education and the need for science teachers to receive adequate training and support to use them effe
Externí odkaz:
https://doaj.org/article/d0aa5d16df0940dfb03c7d8a30c8ea01
Autor:
Laura Judith Marcos-Zambrano, Víctor Manuel López-Molina, Burcu Bakir-Gungor, Marcus Frohme, Kanita Karaduzovic-Hadziabdic, Thomas Klammsteiner, Eliana Ibrahimi, Leo Lahti, Tatjana Loncar-Turukalo, Xhilda Dhamo, Andrea Simeon, Alina Nechyporenko, Gianvito Pio, Piotr Przymus, Alexia Sampri, Vladimir Trajkovik, Blanca Lacruz-Pleguezuelos, Oliver Aasmets, Ricardo Araujo, Ioannis Anagnostopoulos, Önder Aydemir, Magali Berland, M. Luz Calle, Michelangelo Ceci, Hatice Duman, Aycan Gündoğdu, Aki S. Havulinna, Kardokh Hama Najib Kaka Bra, Eglantina Kalluci, Sercan Karav, Daniel Lode, Marta B. Lopes, Patrick May, Bram Nap, Miroslava Nedyalkova, Inês Paciência, Lejla Pasic, Meritxell Pujolassos, Rajesh Shigdel, Antonio Susín, Ines Thiele, Ciprian-Octavian Truică, Paul Wilmes, Ercument Yilmaz, Malik Yousef, Marcus Joakim Claesson, Jaak Truu, Enrique Carrillo de Santa Pau
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
The human microbiome has become an area of intense research due to its potential impact on human health. However, the analysis and interpretation of this data have proven to be challenging due to its complexity and high dimensionality. Machine learni
Externí odkaz:
https://doaj.org/article/7e8c2a9ec3074e74b5f235b502816b53
Autor:
Eliana Ibrahimi, Marta B. Lopes, Xhilda Dhamo, Andrea Simeon, Rajesh Shigdel, Karel Hron, Blaž Stres, Domenica D’Elia, Magali Berland, Laura Judith Marcos-Zambrano
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
Although metagenomic sequencing is now the preferred technique to study microbiome-host interactions, analyzing and interpreting microbiome sequencing data presents challenges primarily attributed to the statistical specificities of the data (e.g., s
Externí odkaz:
https://doaj.org/article/d140a9ec27684ee9a776ee4c887d6d40
Autor:
Georgios Papoutsoglou, Sonia Tarazona, Marta B. Lopes, Thomas Klammsteiner, Eliana Ibrahimi, Julia Eckenberger, Pierfrancesco Novielli, Alberto Tonda, Andrea Simeon, Rajesh Shigdel, Stéphane Béreux, Giacomo Vitali, Sabina Tangaro, Leo Lahti, Andriy Temko, Marcus J. Claesson, Magali Berland
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
Microbiome data predictive analysis within a machine learning (ML) workflow presents numerous domain-specific challenges involving preprocessing, feature selection, predictive modeling, performance estimation, model interpretation, and the extraction
Externí odkaz:
https://doaj.org/article/a35769259f1946d3b9af729120cec4fd
Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action
Autor:
Domenica D’Elia, Jaak Truu, Leo Lahti, Magali Berland, Georgios Papoutsoglou, Michelangelo Ceci, Aldert Zomer, Marta B. Lopes, Eliana Ibrahimi, Aleksandra Gruca, Alina Nechyporenko, Marcus Frohme, Thomas Klammsteiner, Enrique Carrillo-de Santa Pau, Laura Judith Marcos-Zambrano, Karel Hron, Gianvito Pio, Andrea Simeon, Ramona Suharoschi, Isabel Moreno-Indias, Andriy Temko, Miroslava Nedyalkova, Elena-Simona Apostol, Ciprian-Octavian Truică, Rajesh Shigdel, Jasminka Hasić Telalović, Erik Bongcam-Rudloff, Piotr Przymus, Naida Babić Jordamović, Laurent Falquet, Sonia Tarazona, Alexia Sampri, Gaetano Isola, David Pérez-Serrano, Vladimir Trajkovik, Lubos Klucar, Tatjana Loncar-Turukalo, Aki S. Havulinna, Christian Jansen, Randi J. Bertelsen, Marcus Joakim Claesson
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
The rapid development of machine learning (ML) techniques has opened up the data-dense field of microbiome research for novel therapeutic, diagnostic, and prognostic applications targeting a wide range of disorders, which could substantially improve
Externí odkaz:
https://doaj.org/article/5f8da7afb1744c6687be2586111ac38e
Publikováno v:
Proceedings of the 4th International Conference on Statistics: Theory and Applications.
Publikováno v:
International Journal on Studies in Education. 3:103-111
The aim of this study is to evaluate the perceptions and challenges of Albanian students during online learning carried out due to COVID-19 pandemic. The students were invited via email to give their perception of ongoing online learning. Responses w
Publikováno v:
SSRN Electronic Journal.
In this paper, we aim to evaluate the potential of mixed models in assessing the impact of ibuprofen, fluoxetine, and a mix of them, on the Gosner stage development of Bufo bufo tadpoles, using incomplete trajectory data. We consider the mixed effect
Publikováno v:
EMBnet.journal. 27:e1012
The bacteria living in and on us, over 100 trillion, are essential for human development, immunity and nutrition and ultimately for human health. Researchers awareness of the importance of the microbiome for human wellbeing brought in the latest deca
Autor:
Eliana Ibrahimi, Mynyr Koni
Publikováno v:
Eastern Journal Of Medicine. 21:10-13