Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Simon O'Callaghan"'
Publikováno v:
British Journal of Clinical Pharmacology. 88:2571-2580
INTRODUCTION: Free-of-charge (FoC) medicine schemes are increasingly available and allow access to investigational treatments outside clinical trials or in advance of licensing or NHS commissioning. METHODS: We retrospectively reviewed FoC medicine s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40e674c5a602e1dfd638f814460908e1
https://doi.org/10.1111/bcp.15094
https://doi.org/10.1111/bcp.15094
Introduction: Free-of-charge (FoC) medicine schemes are increasingly available and allow access to investigational treatments outside clinical trials or in advance of licensing or NHS commissioning. Methods: We retrospectively reviewed FoC medicine s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::518dbd786263e0be9beedc2abafee30c
https://doi.org/10.22541/au.162601445.50513844/v1
https://doi.org/10.22541/au.162601445.50513844/v1
Publikováno v:
Geochemistry, Geophysics, Geosystems. 18:4586-4603
Tracing sedimentation through time on existing and vanished seafloor is imperative for constraining long-term eustasy and for calculating volumes of subducted deep-sea sediments that contribute to global geochemical cycles. We present regression algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26e094b5928fdc5beed7d9366026eb0a
https://doi.org/10.1002/2017gc007258
https://doi.org/10.1002/2017gc007258
Publikováno v:
ASEG Extended Abstracts. 2016:1-10
Geophysical joint inversions seek to exploit the statistical fact that a model that simultaneously satisfies two or more independent data sets is more likely to represent geological ‘reality’ than a model that only satisfies a single data set. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::760372b9668d244c9930a66f1bc9f742
https://doi.org/10.1071/aseg2016ab131
https://doi.org/10.1071/aseg2016ab131
Publikováno v:
Geochemistry, Geophysics, Geosystems. 17:3075-3098
Deep-sea sediments represent the largest geological deposit on Earth and provide a record of our planet's response to conditions at the sea surface from where the bulk of material originates. We use a machine learning method to analyze how the distri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1b5716d4aabe387fa831412ed9893bd
https://doi.org/10.1002/2016gc006428
https://doi.org/10.1002/2016gc006428
Autor:
K. Murray, E. Paulon, P.S. Patel, Simon O’Callaghan, S. Obbard, Shola Ajibodu, H. Kwok, Konstantinos C. Fragkos, N. Keane, J. Barragry, Shameer Mehta, Farooq Rahman, Simona Di Caro
Publikováno v:
Clinical Nutrition ESPEN. 28:258-259
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4bd89659bf0e4d9c56e10a9d71f3542
https://doi.org/10.1016/j.clnesp.2018.09.038
https://doi.org/10.1016/j.clnesp.2018.09.038
Publikováno v:
Geology. 43:795-798
Knowing the patterns of distribution of sediments in the global ocean is critical for understanding biogeochemical cycles and how deep-sea deposits respond to environmental change at the sea surface. We present the first digital map of seafloor litho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afceaf30d3e750fdd6770b4985769c3a
https://doi.org/10.1130/g36883.1
https://doi.org/10.1130/g36883.1
Publikováno v:
ICRA
Understanding the dynamics of urban environments is crucial for path planning and safe navigation. However, the dynamics might be extremely complex making learning the environment an unfathomable task. Within the methods available for learning dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b041965fb9791236a0dd64067e47b455
https://doi.org/10.1109/icra.2017.7989294
https://doi.org/10.1109/icra.2017.7989294
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 30
Understanding and predicting how influenza propagates is vital to reduce its impact. In this paper we develop a nonparametric model based on Gaussian process (GP) regression to capture the complex spatial and temporal dependencies present in the data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97b3fc2c976cb9561ce77b26cdb22755
https://doi.org/10.1609/aaai.v30i1.9899
https://doi.org/10.1609/aaai.v30i1.9899
Autor:
Fabio Ramos, Simon O'Callaghan
Publikováno v:
The International Journal of Robotics Research. 31:42-62
We introduce a new statistical modelling technique for building occupancy maps. The problem of mapping is addressed as a classification task where the robot’s environment is classified into regions of occupancy and free space. This is obtained by e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d42ebaa2d8375d242a12e73e4c73f8f
https://doi.org/10.1177/0278364911421039
https://doi.org/10.1177/0278364911421039