Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Hayda Almeida"'
Publikováno v:
PLoS ONE, Vol 9, Iss 12, p e115892 (2014)
This paper presents a machine learning system for supporting the first task of the biological literature manual curation process, called triage. We compare the performance of various classification models, by experimenting with dataset sampling facto
Externí odkaz:
https://doaj.org/article/720d881fcbea4ee7818f3d0566a995f9
Publikováno v:
NAR Genomics and Bioinformatics
Fungal secondary metabolites (SMs) are an important source of numerous bioactive compounds largely applied in the pharmaceutical industry, as in the production of antibiotics and anticancer medications. The discovery of novel fungal SMs can potential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52749f61ec59747f32c5e951d39cedcf
https://pubmed.ncbi.nlm.nih.gov/33575642
https://pubmed.ncbi.nlm.nih.gov/33575642
Publikováno v:
Computational Intelligence. 34:200-218
This work presents the bioMine system, a full-text natural language search engine for biomedical literature. bioMine provides search capabilities based on the full-text content of documents belonging to a database composed of scientific articles and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b16dd1e64218f561e63e72101a386e27
https://doi.org/10.1111/coin.12125
https://doi.org/10.1111/coin.12125
Supporting supervised learning in fungal Biosynthetic Gene Cluster discovery: new benchmark datasets
Publikováno v:
BIBM
Fungal Biosynthetic Gene Clusters (BGCs) of secondary metabolites are clusters of genes capable of producing natural products, compounds that play an important role in the production of a wide variety of bioactive compounds, including antibiotics and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::714ea2ed6fa7b085fa67338d6dbbab79
Publikováno v:
IEEE Transactions on NanoBioscience. 15:354-361
This paper presents a supervised learning approach to support the screening of HIV literature. The manual screening of biomedical literature is an important task in the process of systematic reviews. Researchers and curators have the very demanding,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a05a4b16d2d03f1523fbccf6b40318e
https://doi.org/10.1109/tnb.2016.2565481
https://doi.org/10.1109/tnb.2016.2565481
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783319896557
Canadian Conference on AI
Canadian Conference on AI
This paper presents a multipronged approach to predict early risk of mental health issues from user-generated content in social media. Supervised learning and information retrieval methods are used to estimate the risk of depression for a user given
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1e0706432ccadf4d4181b8f467b6507
https://doi.org/10.1007/978-3-319-89656-4_11
https://doi.org/10.1007/978-3-319-89656-4_11
Publikováno v:
Lecture Notes in Business Information Processing ISBN: 9783319590400
MCETECH
MCETECH
This paper presents machine learning approaches based on supervised methods applied to triage of health and biomedical data. We discuss the applications of such approaches in three different tasks, and evaluate the usage of triage pipelines, as well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bcc8ee5d90aed93ccf8ef95f8ce43c6
https://doi.org/10.1007/978-3-319-59041-7_13
https://doi.org/10.1007/978-3-319-59041-7_13
Publikováno v:
CLPsych@HLT-NAACL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8331a4f94edd084ba71bc465d540ec62
https://doi.org/10.18653/v1/w16-0325
https://doi.org/10.18653/v1/w16-0325
Publikováno v:
BIBM
This paper presents a supervised learning approach to support the screening of HIV literature. The manual screening of biomedical literature is an important task in the process of systematic reviews. Researchers and curators have the very demanding,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17f6ea7bcfb6dc85ad0d4e6c594e3df7
https://doi.org/10.1109/bibm.2015.7359733
https://doi.org/10.1109/bibm.2015.7359733
Autor:
Adrian Tsang, Min Wu, Carol Nyaga, Kimchi-Audrey Strasser, Greg Butler, Erin McDonnell, Sherry Wu, Justin Powlowski, Marie-Jean Meurs, Leila Kosseim, Hayda Almeida
Publikováno v:
Database: The Journal of Biological Databases and Curation
Enzymes active on components of lignocellulosic biomass are used for industrial applications ranging from food processing to biofuels production. These include a diverse array of glycoside hydrolases, carbohydrate esterases, polysaccharide lyases and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0278663b67012f3b4402a9191e794584
https://doi.org/10.1093/database/bav008
https://doi.org/10.1093/database/bav008