Zobrazeno 1 - 10
of 211
pro vyhledávání: '"Q335"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30:96-107
Hand gesture recognition with surface electromyography (sEMG) is indispensable for Muscle-Gesture-Computer Interface. The usual focus of it is upon performance evaluation involving the accuracy and robustness of hand gesture recognition. However, add
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eecd4825937c9aa2a55d70fd52385d4f
https://doi.org/10.1109/tnsre.2022.3141593
https://doi.org/10.1109/tnsre.2022.3141593
Publikováno v:
International Journal of Intelligent Systems. 36:7609-7640
The majority of forecasting methods use a physical time scale for studying price fluctuations of financial markets. Using physical time scales can make companies oblivious to significant activities in the market as the flow of time is discontinuous,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aecd019958d3aae2086f8d7c0f58ec3c
https://doi.org/10.1002/int.22601
https://doi.org/10.1002/int.22601
Autor:
Huiyu Zhou, Long Chen, Qianni Zhang, Feixiang Zhou, Caifeng Shan, Zheheng Jiang, Zhihua Liu, Ling Li, Lei Tong, Yinhai Wang
Publikováno v:
IEEE Transactions on Medical Imaging. 40:1763-1777
Automated segmentation of brain glioma plays an active role in diagnosis decision, progression monitoring and surgery planning. Based on deep neural networks, previous studies have shown promising technologies for brain glioma segmentation. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdb973aeba12e4bf535b4fbba4380646
https://doi.org/10.1109/tmi.2021.3065918
https://doi.org/10.1109/tmi.2021.3065918
Publikováno v:
AI and Ethics
Gardner, A, Leon Smith, A, Steventon, A, Coughlan, E & Oldfield, M 2021, ' Ethical funding for trustworthy AI: proposals to address the responsibilities of funders to ensure that projects adhere to trustworthy AI practice ', AI and Ethics . https://doi.org/10.1007/s43681-021-00069-w
Gardner, A, Leon Smith, A, Steventon, A, Coughlan, E & Oldfield, M 2021, ' Ethical funding for trustworthy AI: proposals to address the responsibilities of funders to ensure that projects adhere to trustworthy AI practice ', AI and Ethics . https://doi.org/10.1007/s43681-021-00069-w
AI systems that demonstrate significant bias or lower than claimed accuracy, and resulting in individual and societal harms, continue to be reported. Such reports beg the question as to why such systems continue to be funded, developed and deployed d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::520401575fe17148d6c98bdaca3f2826
http://europepmc.org/articles/PMC8197676
http://europepmc.org/articles/PMC8197676
Autor:
Dominique Chu, Huy Nguyen
Publikováno v:
Neural Networks. 135:192-200
We analyse mathematically the constraints on weights resulting from Hebbian and STDP learning rules applied to a spiking neuron with weight normalisation. In the case of pure Hebbian learning, we find that the normalised weights equal the promotion p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca505ffc397dc0be7f3736b7b0f33015
https://doi.org/10.1016/j.neunet.2020.12.012
https://doi.org/10.1016/j.neunet.2020.12.012
Publikováno v:
13th International Conference on Computational Creativity, ICCC’22
In this pilot study, we explore the Variational Autoencoder as a computational model for conceptual spaces in a social interaction context. Conceptually, the Variational Autoencoder is a natural fit for this purpose. We apply this idea in an agent-ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::36f88aa17a7ea23127956fd268270789
https://kar.kent.ac.uk/95665/3/ICCC-2022_15S_Peeperkorn-et-al.pdf
https://kar.kent.ac.uk/95665/3/ICCC-2022_15S_Peeperkorn-et-al.pdf
Autor:
Max Peeperkorn
The thesis project presented aims to use social information in conjunction with modern AI/ML techniques to develop artificial creative societies. The main objective is to explore social creativity as it could be. The scope consists of three core aspe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b63ee6b31887f4f0baff1027bdfe0028
https://kar.kent.ac.uk/95666/1/cc22-65.pdf
https://kar.kent.ac.uk/95666/1/cc22-65.pdf
Autor:
Juergen Landes, Jon Williamson
This paper addresses a data integration problem: given several mutually consistent datasets each of which measures a subset of the variables of interest, how can one construct a probabilistic model that fits the data and gives reasonable answers to q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f3562592520ac0d532e395733e591b7
Hebbian theory seeks to explain how the neurons in the brain adapt to stimuli, to enable learning. An interesting feature of Hebbian learning is that it is an unsupervised method and as such, does not require feedback, making it suitable in contexts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2a5116e6d000cc6e602cb6764095ad1
https://kar.kent.ac.uk/96319/1/acssynbio.1c00625.pdf
https://kar.kent.ac.uk/96319/1/acssynbio.1c00625.pdf
Publikováno v:
ICPRAI 2022-3rd International Conference on Pattern Recognition and Artificial Intelligence
Mechanical vibrations due to uneven terrains can significantly impact the accuracy of computer vision systems installed on any moving vehicle. In this study, we investigate the impact of mechanical vibrations induced using artificial bumps in a contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::169062249e1bcca528ca81e2963e52f9
https://kar.kent.ac.uk/93971/1/EasyChair-Preprint-7747.pdf
https://kar.kent.ac.uk/93971/1/EasyChair-Preprint-7747.pdf