Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Lezan Hawizy"'
Publikováno v:
Quantitative Science Studies, Vol 4, Iss 1, Pp 127-143 (2023)
AbstractIn 2020 the Australia New Zealand Standard Research Classification Fields of Research Codes (ANZSRC FoR codes) were updated by their owners. This has led the sector to need to update their systems of reference and has caused suppliers working
Externí odkaz:
https://doaj.org/article/bf4f01fab81d4b26aef4add4a8ec2544
Publikováno v:
PLoS ONE, Vol 6, Iss 5, p e20181 (2011)
Chemistry text mining tools should be interoperable and adaptable regardless of system-level implementation, installation or even programming issues. We aim to abstract the functionality of these tools from the underlying implementation via reconfigu
Externí odkaz:
https://doaj.org/article/be5fb3d3faa64fbe8355af10d1811704
In 2020 the Australia New Zealand Standard Research Classification Fields of Research Codes (ANZSRC FoR codes) were updated by their owners. This has led the sector to need to update their systems of reference and has caused suppliers working in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b4aa8aaf6f82ea0b214438d969da994
Autor:
Lezan Hawizy, Gregory J. L. Tourte, Bryan Lawrence, Peter Murray-Rust, Charlotte Pascoe, H. Barjat
Tools that capture information about the workflow of running simulations are becoming key parts of the workflow for climate scientists. Such tools need to capture information from the design of experiments (why) to their implementation in simulations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5448f647117b31d56e9d90aa1d5f441a
https://doi.org/10.1016/b978-1-84334-749-1.00011-1
https://doi.org/10.1016/b978-1-84334-749-1.00011-1
Publikováno v:
Journal of Chemical Information and Modeling. 51:4-14
In recent years classifiers generated with kernel-based methods, such as support vector machines (SVM), Gaussian processes (GP), regularization networks (RN), and binary kernel discrimination (BKD) have been very popular in chemoinformatics data anal
Publikováno v:
Journal of Cheminformatics
Journal of Cheminformatics, 3(1). BioMed Central Ltd
Journal of Cheminformatics, Vol 3, Iss 1, p 41 (2011)
Journal of Cheminformatics, 3(1). BioMed Central Ltd
Journal of Cheminformatics, Vol 3, Iss 1, p 41 (2011)
The Open-Source Chemistry Analysis Routines (OSCAR) software, a toolkit for the recognition of named entities and data in chemistry publications, has been developed since 2002. Recent work has resulted in the separation of the core OSCAR functionalit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a002dc9c6fb6e730c13475ff8b29c4b8
http://www.dspace.cam.ac.uk/handle/1810/238388
http://www.dspace.cam.ac.uk/handle/1810/238388
Publikováno v:
PLoS ONE
PLoS ONE, Vol 6, Iss 5, p e20181 (2011)
PLoS ONE, Vol 6, Iss 5, p e20181 (2011)
Chemistry text mining tools should be interoperable and adaptable regardless of system-level implementation, installation or even programming issues. We aim to abstract the functionality of these tools from the underlying implementation via reconfigu
Publikováno v:
eScience
Lensfield is a desktop and filesystem-based tool designed as a “personal data management assistant” for the scientist. It combines distributed version control (DVCS), software transaction memory (STM) and linked open data (LOD) publishing to crea
Publikováno v:
Project Management and Risk Management in Complex Projects ISBN: 9781402058363
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93381e46bac4417682db26529dfb8f4e
https://doi.org/10.1007/978-1-4020-5837-0_11
https://doi.org/10.1007/978-1-4020-5837-0_11