Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Alan J. Barton"'
Publikováno v:
Expert Systems with Applications. 39:13193-13201
Visual data mining with virtual reality spaces is used for the representation of data and symbolic knowledge. High quality structure-preserving and maximally discriminative visual representations can be obtained using a combination of neural networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff6dd67e165faf797f91c78ee42e6dbe
https://doi.org/10.1016/j.eswa.2012.05.082
https://doi.org/10.1016/j.eswa.2012.05.082
Publikováno v:
Genetic and Evolutionary Computation: Medical Applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4e1571fee167075ab86767f3e58b0cc
https://doi.org/10.1002/9780470973134.ch9
https://doi.org/10.1002/9780470973134.ch9
Publikováno v:
Genetic Programming and Evolvable Machines. 9:257-274
A preliminary investigation of cerebral stroke samples injected into a mass spectrometer is performed from an evolutionary computation perspective. The detection and resolution of peptide peaks is pursued for the purpose of automatically and accurate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1e7be117d47e5f7237030df4f9b9fdf
https://doi.org/10.1007/s10710-008-9057-y
https://doi.org/10.1007/s10710-008-9057-y
Publikováno v:
Journal of Biomedical Materials Research. 32:271-278
A video microscope system and a mathematical model were developed to observe and model the early stage of bacterial growth on polymer surfaces. Glass slides were coated with polyorthoester, poly(L-lactic acid), and polysulfone, and inserted into a la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54dba4d425d042aeb656cf3613777d38
https://doi.org/10.1002/(sici)1097-4636(199610)32:2<271::aid-jbm17>3.0.co
https://doi.org/10.1002/(sici)1097-4636(199610)32:2<271::aid-jbm17>3.0.co
Publikováno v:
Journal of Biomedical Materials Research. 30:403-410
The degradable polymers poly(orthoester) (POE), poly(L-lactic acid) (PLA), and the nondegradable polymers polysulfone (PSF), polyethylene (PE), and poly(ether ether ketone) (PEEK) were exposed to cultures of Staphylococcus epidermidis, Pseudomonas ae
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2dc31f95df2e0c1d38cc7b9ed526cf9
https://doi.org/10.1002/(sici)1097-4636(199603)30:3<403::aid-jbm15>3.0.co
https://doi.org/10.1002/(sici)1097-4636(199603)30:3<403::aid-jbm15>3.0.co
Publikováno v:
AIP Conference Proceedings.
Three public biological network data sets (KEGG, GeneRIF and Reactome) are collected and described. Two problems are investigated (inter- and intra- cellular interactions) via augmentation of the collected networks to the problem specific data. Resul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91bf5af8185cc461ff3e11a558b3b1c5
https://doi.org/10.1063/1.3663481
https://doi.org/10.1063/1.3663481
Publikováno v:
Biomaterials. 14:605-608
Video microscopy was employed to observed the spatial distribution of Staphylococcus epidermidis and Pseudomonas aeruginosa adherent to glass and polymer substrates. During rinsing procedures the bacteria remained in their original positions when the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1897b702992a23241273f9bd98185c34
https://doi.org/10.1016/0142-9612(93)90179-6
https://doi.org/10.1016/0142-9612(93)90179-6
Autor:
Alan J. Barton
Publikováno v:
CIBCB
Proteomics involves collecting and analyzing information about proteins within one or more complex samples in order to address a biological problem. One methodology is the use of high performance liquid chromatography coupled mass spectrometry (nanoL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbe0cc7c296ddb90fafde7fdc367780d
https://doi.org/10.1109/cibcb.2010.5510688
https://doi.org/10.1109/cibcb.2010.5510688
Publikováno v:
IJCNN
A neural network classifier is sought. Classical neural network neurons are aggregations of a weight multiplied by an input value and then controlled via an activation function. This paper learns everything within the neuron using a variant of geneti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b4bcf88ba8537ea7acc3b1b94054e31
https://nrc-publications.canada.ca/eng/view/object/?id=be2de4a7-2607-4098-ac65-58bda4081cdd
https://nrc-publications.canada.ca/eng/view/object/?id=be2de4a7-2607-4098-ac65-58bda4081cdd
Publikováno v:
Neural networks : the official journal of the International Neural Network Society. 22(5-6)
Classical neural networks are composed of neurons whose nature is determined by a certain function (the neuron model), usually pre-specified. In this paper, a type of neural network (NN-GP) is presented in which: (i) each neuron may have its own neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7150de9d20db0fd5362218e71f03812
https://pubmed.ncbi.nlm.nih.gov/19604672
https://pubmed.ncbi.nlm.nih.gov/19604672