Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Christopher D. Buckingham"'
Publikováno v:
Complexity, Vol 2019 (2019)
This study suggests a new approach to EEG data classification by exploring the idea of using evolutionary computation to both select useful discriminative EEG features and optimise the topology of Artificial Neural Networks. An evolutionary algorithm
Externí odkaz:
https://doaj.org/article/852925c5133f4faeb1f5856cf9187415
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 30:859-893
Considerable research has recently focused on integrating cyber-physical systems in a social context. However, several challenges remain concerning appropriate methodologies, frameworks and techniques for supporting socio-cyber-physical collaboration
Autor:
Christopher D. Buckingham, Stephen Wileman, Victoria Lush, Ulysses Bernardet, Suzanne Edwards
Publikováno v:
exp.at
It is estimated that one person dies every 40 seconds due to suicide and there are indications that for each fatal suicide attempt conducted by an adult, there may be more than 20 other suicide attempts. Public healthcare resources to support individ
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030228705
This paper proposes an approach to selecting the amount of layers and neurons contained within Multilayer Perceptron hidden layers through a single-objective evolutionary approach with the goal of model accuracy. At each generation, a population of N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6c385f9a996532503fd134dfca79a10
https://doi.org/10.1007/978-3-030-22871-2_52
https://doi.org/10.1007/978-3-030-22871-2_52
Autor:
Ine D'Haeseleer, Dominique Schreurs, Kathrin Gerling, Christopher D. Buckingham, Bart Vanrumste, Vero Vanden Abeele
Publikováno v:
Pervasive Health ’19: EAI International Conference on Pervasive Computing Technologies for Healthcare, May 20–23, 2019, Trento, Italy.
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Oldest adults (80 years and over) are the fastest growing group in the total world population. This is putting pressure on national healthcare budgets, as the distribution of healthcare expenses is strongly age-dependent. One way of mitigating this b
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030228705
This study proposes an approach to ensemble sentiment classification of a text to a score in the range of 1–5 of negative-positive scoring. A high-performing model is produced from TripAdvisor restaurant reviews via a generated dataset of 684 word-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3db7e3625bfa5144c42f2660517cd536
https://doi.org/10.1007/978-3-030-22871-2_40
https://doi.org/10.1007/978-3-030-22871-2_40
Publikováno v:
Complexity, Vol 2019 (2019)
This study suggests a new approach to EEG data classification by exploring the idea of using evolutionary computation to both select useful discriminative EEG features and optimise the topology of Artificial Neural Networks. An evolutionary algorithm
Publikováno v:
International Journal of Online and Biomedical Engineering, Vol 16, Iss 04, Pp 33-42 (2020)
Mental health presents a growing public health concern worldwide with mental illnesses affecting people’s quality of life and causing an economic impact on societies. The rapidly increasing demand for mental healthcare is calling for new ways of di
Publikováno v:
Artificial Life and Intelligent Agents ISBN: 9783319904177
The success of intelligent agents in clinical care depends on the degree to which they represent and work with human decision makers. This is particularly important in the domain of clinical risk assessment where such agents either conduct the task o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03c2d3512ca7db99f06f59bfdc679d1e
https://publications.aston.ac.uk/id/eprint/33576/1/Capturing_Human_Intelligence_for_Modelling.pdf
https://publications.aston.ac.uk/id/eprint/33576/1/Capturing_Human_Intelligence_for_Modelling.pdf
Publikováno v:
2018 International Conference on Intelligent Systems and Computer Vision (ISCV).
Autonomic computing was intended to tackle the growing complexity of Information Technology infrastructure by making it self-managing and self-adaptive. The core idea is to endow the system with enough intelligence to monitor continuously all aspects