Zobrazeno 1 - 10
of 230
pro vyhledávání: '"Luís A. Nunes Amaral"'
Publikováno v:
APL Machine Learning, Vol 2, Iss 3, Pp 036102-036102-11 (2024)
The extraordinary success of convolutional neural networks (CNNs) in various computer vision tasks has revitalized the field of artificial intelligence. The out-sized expectations created by this extraordinary success have, however, been tempered by
Externí odkaz:
https://doaj.org/article/e72dab3ddcf64468bff00bac0f45b457
Publikováno v:
APL Machine Learning, Vol 1, Iss 4, Pp 046118-046118-10 (2023)
Machine learning approaches have become critical tools in data mining and knowledge discovery, especially when attempting to uncover relationships in high-dimensional data. However, researchers have noticed that a large fraction of features in high-d
Externí odkaz:
https://doaj.org/article/46de7007ca4e4133a547b5f336315b06
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Transportation networks undergo permanent changes influenced by a variety of human-induced and natural factors. The authors propose here a machine learning framework for prediction of connections removal that could be useful in building scenarios for
Externí odkaz:
https://doaj.org/article/63b0cb481ad7462397afb4a6ba251043
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Adoption of innovations in the field of medicine is frequently hindered by a failure to recognize the condition targeted by the innovation. This is particularly true in cases where recognition requires integration of patient infor
Externí odkaz:
https://doaj.org/article/119f642bda3942d28cccb3b4ef045990
Autor:
Jordi Duch, Xiao Han T. Zeng, Marta Sales-Pardo, Filippo Radicchi, Shayna Otis, Teresa K. Woodruff, Luís A. Nunes Amaral
Publikováno v:
PLoS ONE, Vol 8, Iss 5 (2013)
Externí odkaz:
https://doaj.org/article/087d43267b4542e1a3e4ccc9ad946810
Autor:
Andrea Lancichinetti, M. Irmak Sirer, Jane X. Wang, Daniel Acuna, Konrad Körding, Luís A. Nunes Amaral
Publikováno v:
Physical Review X, Vol 5, Iss 1, p 011007 (2015)
Much of human knowledge sits in large databases of unstructured text. Leveraging this knowledge requires algorithms that extract and record metadata on unstructured text documents. Assigning topics to documents will enable intelligent searching, stat
Externí odkaz:
https://doaj.org/article/933c04ee55c34c3ebd8d2973dced6a3f
Autor:
Curtis H. Weiss, Julia Poncela-Casasnovas, Joshua I. Glaser, Adam R. Pah, Stephen D. Persell, David W. Baker, Richard G. Wunderink, Luís A. Nunes Amaral
Publikováno v:
Physical Review X, Vol 4, Iss 4, p 041008 (2014)
Adoption of innovations, whether new ideas, technologies, or products, is crucially important to knowledge societies. The landmark studies of adoption dealt with innovations having great societal impact (such as antibiotics or hybrid crops) but where
Externí odkaz:
https://doaj.org/article/7f08863fd6aa498d812316607ffb7012
Autor:
Thomas Stoeger, Luís A Nunes Amaral
Publikováno v:
eLife, Vol 9 (2020)
It is known that research into human genes is heavily skewed towards genes that have been widely studied for decades, including many genes that were being studied before the productive phase of the Human Genome Project. This means that the genes most
Externí odkaz:
https://doaj.org/article/141d1194fd1e4dd1b0c0c59232ac68bc
Publikováno v:
PLoS Biology, Vol 16, Iss 9, p e2006643 (2018)
Biomedical research has been previously reported to primarily focus on a minority of all known genes. Here, we demonstrate that these differences in attention can be explained, to a large extent, exclusively from a small set of identifiable chemical,
Externí odkaz:
https://doaj.org/article/bb0c33ad604f4c2da4367836eb132b52
Publikováno v:
Proteins: Structure, Function, and Bioinformatics. 89:276-288
Allostery governing two conformational states is one of the proposed mechanisms for catch-bond behavior in adhesive proteins. In FimH, a catch-bond protein expressed by pathogenic bacteria, separation of two domains disrupts inhibition by the pilin d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ccb1004958cd2c986309901af65947d
https://doi.org/10.1002/prot.26013
https://doi.org/10.1002/prot.26013