Zobrazeno 1 - 10
of 180
pro vyhledávání: '"Mark Coates"'
Publikováno v:
Diagnostics, Vol 12, Iss 12, p 3072 (2022)
Dual-energy computed tomography (DECT) is an advanced CT computed tomography scanning technique enabling material characterization not possible with conventional CT scans. It allows the reconstruction of energy decay curves at each 3D image voxel, re
Externí odkaz:
https://doaj.org/article/6ac34840a0df4f9ab48e7d3a16718115
Autor:
Pavel Rumiantsev, Mark Coates
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
ANZ Journal of Surgery. 92:2672-2675
Core biopsy is integral in the work-up of diagnosis for musculoskeletal lesions. Prior to referral through Christchurch hospital-a tertiary referral centre for sarcomas/musculoskeletal lesions, many patients undertake guided core biopsy in peripheral
Publikováno v:
IEEE Wireless Communications Letters. 11:426-430
Publikováno v:
2022 56th Asilomar Conference on Signals, Systems, and Computers.
The machine learning community has mainly relied on real data to benchmark algorithms as it provides compelling evidence of model applicability. Evaluation on synthetic datasets can be a powerful tool to provide a better understanding of a model's st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68d1bdf35fb136b5687fca291a72ec76
http://arxiv.org/abs/2210.16405
http://arxiv.org/abs/2210.16405
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Implicit feedback is frequently used for developing personalized recommendation services due to its ubiquity and accessibility in real-world systems. In order to effectively utilize such information, most research adopts the pairwise ranking method o
There have been several recent efforts towards developing representations for multivariate time-series in an unsupervised learning framework. Such representations can prove beneficial in tasks such as activity recognition, health monitoring, and anom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcf643ffcf8031359e9427c728cc04fe
http://arxiv.org/abs/2209.10662
http://arxiv.org/abs/2209.10662
Autor:
Milad Kharratzadeh, Mark Coates
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 6:491-494
We use data extracted from many weblogs to identify the underlying relations of a set of companies in the Standard and Poor (S\&P) 500 index. We define a pairwise similarity measure for the companies based on the weblog articles and then apply a grap