Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Garibaldi, Jon"'
Publikováno v:
In Expert Systems With Applications 1 September 2024 249 Part A
Autor:
Sackmann Andrea, Brown Kristelle, Formanowicz Piotr, Morgan Kevin, Kalsheker Noor, Garibaldi Jon M., Błażewicz Jacek
Publikováno v:
Foundations of Computing and Decision Sciences, Vol 48, Iss 4, Pp 483-506 (2023)
DNA computing is a highly interdisciplinary field which combines molecular operations with theoretical algorithm design. A number of algorithms have been demonstrated in DNA computing, but to date network flow problems have not been studied. We aim t
Externí odkaz:
https://doaj.org/article/e65644c6da1447b4b060cec3d07b1521
Autor:
Hou, Xianxu, Liu, Jingxin, Xu, Bolei, Liu, Bozhi, Chen, Xin, Ilyas, Mohammad, Ellis, Ian, Garibaldi, Jon, Qiu, Guoping
Supervised semantic segmentation normally assumes the test data being in a similar data domain as the training data. However, in practice, the domain mismatch between the training and unseen data could lead to a significant performance drop. Obtainin
Externí odkaz:
http://arxiv.org/abs/1909.11524
Autor:
Xu, Bolei, Liu, Jingxin, Hou, Xianxu, Liu, Bozhi, Garibaldi, Jon, Ellis, Ian O., Green, Andy, Shen, Linlin, Qiu, Guoping
One issue with computer based histopathology image analysis is that the size of the raw image is usually very large. Taking the raw image as input to the deep learning model would be computationally expensive while resizing the raw image to low resol
Externí odkaz:
http://arxiv.org/abs/1902.10946
Autor:
Liu, Jingxin, Xu, Bolei, Zheng, Chi, Gong, Yuanhao, Garibaldi, Jon, Soria, Daniele, Green, Andew, Ellis, Ian O., Zou, Wenbin, Qiu, Guoping
Publikováno v:
IEEE Transactions on Medical Imaging 03 September 2018
One of the methods for stratifying different molecular classes of breast cancer is the Nottingham Prognostic Index Plus (NPI+) which uses breast cancer relevant biomarkers to stain tumour tissues prepared on tissue microarray (TMA). To determine the
Externí odkaz:
http://arxiv.org/abs/1801.06288
Modelling Consumer Indebtedness has proven to be a problem of complex nature. In this work we utilise Data Mining techniques and methods to explore the multifaceted aspect of Consumer Indebtedness by examining the contribution of Psychological Factor
Externí odkaz:
http://arxiv.org/abs/1502.05911
It has become apparent that models that have been applied widely in economics, including Machine Learning techniques and Data Mining methods, should take into consideration principles that derive from the theories of Personality Psychology in order t
Externí odkaz:
http://arxiv.org/abs/1307.1998
Gene expression data sets are used to classify and predict patient diagnostic categories. As we know, it is extremely difficult and expensive to obtain gene expression labelled examples. Moreover, conventional supervised approaches cannot function pr
Externí odkaz:
http://arxiv.org/abs/1307.1387
Autor:
Ayling, Kieran, Fairclough, Lucy, Tighe, Paddy, Todd, Ian, Halliday, Vanessa, Garibaldi, Jon, Royal, Simon, Hamed, Aljali, Buchanan, Heather, Vedhara, Kavita
Publikováno v:
In Brain Behavior and Immunity January 2018 67:314-323
Autor:
Todd, Ian, Negm, Ola H., Reps, Jenna, Radford, Paul, Figueredo, Grazziela, McDermott, Elizabeth M., Drewe, Elizabeth, Powell, Richard J., Bainbridge, Susan, Hamed, Mohamed, Crouch, Sharon, Garibaldi, Jon, St-Gallay, Steve, Fairclough, Lucy C., Tighe, Patrick J.
Publikováno v:
In Pharmacological Research November 2017 125 Part B:188-200