Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Michael G. Madden"'
Autor:
Emma Urquhart, John Ryan, Sean Hartigan, Ciprian Nita, Ciara Hanley, Peter Moran, John Bates, Rachel Jooste, Conor Judge, John G. Laffey, Michael G. Madden, Bairbre A. McNicholas
Publikováno v:
Intensive Care Medicine Experimental, Vol 12, Iss 1, Pp 1-9 (2024)
Abstract Background Artificial intelligence, through improved data management and automated summarisation, has the potential to enhance intensive care unit (ICU) care. Large language models (LLMs) can interrogate and summarise large volumes of medica
Externí odkaz:
https://doaj.org/article/19e0a688129d4859aad7139b036d6cb2
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-26 (2024)
Abstract Background Recent developments in the domain of biomedical knowledge bases (KBs) open up new ways to exploit biomedical knowledge that is available in the form of KBs. Significant work has been done in the direction of biomedical KB creation
Externí odkaz:
https://doaj.org/article/14cc0a9450754bdd8ca94d2ea9a87ae9
Autor:
Shahid Hussain, Subhasis Thakur, Saurabh Shukla, John G. Breslin, Qasim Jan, Faisal Khan, Ibrar Ahmad, Mousa Marzband, Michael G. Madden
Publikováno v:
Energies, Vol 15, Iss 4, p 1304 (2022)
The charging loads of electric vehicles (EVs) at residential premises are controlled through a tariff system based on fixed timing. The conventional tariff system presents the herding issue, such as with many connected EVs, all of them are directed t
Externí odkaz:
https://doaj.org/article/b4714874a28344ef9e336df5d9025c26
Publikováno v:
Journal of Electronic Imaging. 32
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a48f42f77912db2202c63431e3ac7763
https://doi.org/10.1117/1.jei.32.2.023011
https://doi.org/10.1117/1.jei.32.2.023011
Autor:
Mary Loftus, Michael G. Madden
Publikováno v:
Teaching in Higher Education. 25:456-475
How do we teach and learn with our students about data literacy, at the same time as Biesta (2015) calls for an emphasis on ‘subjectification’ i.e. ‘the coming into presence of unique individual be...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e13ffe6dfa0fe7cb2d7527d3887721ae
https://doi.org/10.1080/13562517.2020.1748593
https://doi.org/10.1080/13562517.2020.1748593
Autor:
Michael G. Madden, Hamda Ajmal
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics. 19(5)
One of the key challenges in systems biology is to derive gene regulatory networks (GRNs) from complex high-dimensional sparse data. Bayesian networks (BNs) and dynamic Bayesian networks (DBNs) have been widely applied to infer GRNs from gene express
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac308782a679110854cfa6e9b1b1e651
https://pubmed.ncbi.nlm.nih.gov/34181549
https://pubmed.ncbi.nlm.nih.gov/34181549
Publikováno v:
ICPR
In a Convolutional Neural Network, each neuron in the output feature map takes input from the neurons in its receptive field. This receptive field concept plays a vital role in today's deep neural networks. However, inspired by neuro-biological resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0aae9e2c71ff52c6872e543d2f9fef35
https://doi.org/10.1109/icpr48806.2021.9413021
https://doi.org/10.1109/icpr48806.2021.9413021
Autor:
Michael G. Madden, C. Lane, Marc Mellotte, Brett Drury, Teodora Sandra Buda, Ihsan Ullah, Haytham Assem
Publikováno v:
Information Management and Big Data ISBN: 9783030762278
SIMBig
SIMBig
Posting information on social media platforms is a popular activity through which personal and confidential information can leak into the public domain. Consequently, social media can contain information that provides an indication that an organizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1802798458733c0bf15f06505b263e3
https://doi.org/10.1007/978-3-030-76228-5_23
https://doi.org/10.1007/978-3-030-76228-5_23
Autor:
J. G. Laffey, Michael G. Madden, Talha Iqbal, P. Conneely, F. Kirrane, B. H. Harte, John G. Laffey, D. M. Hannon, Martin O'Halloran, Atif Shahzad, T. Jones, C. Judge
ObjectivesTo develop and assess the performance of a system for shared ventilation that uses clinically available components to individualize tidal volumes under a variety of clinically relevant conditions.DesignEvaluation and in vitro validation stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f792043e9385bcd59df67b8900d66f49
https://doi.org/10.1101/2020.12.09.20246165
https://doi.org/10.1101/2020.12.09.20246165
Autor:
Michael G. Madden, Hamda Ajmal
Publikováno v:
Statistical Applications in Genetics and Molecular Biology. 19
Over a decade ago, Lèbre (2009) proposed an inference method, G1DBN, to learn the structure of gene regulatory networks (GRNs) from high dimensional, sparse time-series gene expression data. Their approach is based on concept of low-order conditiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2c2c48667e1c77194d8ae7b7c06256f
https://doi.org/10.1515/sagmb-2020-0051
https://doi.org/10.1515/sagmb-2020-0051