Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Stewart Massie"'
Autor:
Ashish Upadhyay, Stewart Massie
Publikováno v:
Case-Based Reasoning Research and Development ISBN: 9783031149221
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47429ab63428dde78fed88c1db62c3a8
https://doi.org/10.1007/978-3-031-14923-8_25
https://doi.org/10.1007/978-3-031-14923-8_25
Publikováno v:
Artificial Intelligence Review. 53:1071-1091
The number of methods for identifying potential fall risk is growing as the rate of elderly fallers continues to rise in the UK. Assessments for identifying risk of falling are usually performed in hospitals and other laboratory environments, however
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22e4306e9527d5b76e16c6fe6f14edae
https://doi.org/10.1007/s10462-019-09687-7
https://doi.org/10.1007/s10462-019-09687-7
Publikováno v:
Case-Based Reasoning Research and Development ISBN: 9783030869564
ICCBR
ICCBR
Traditional Data-to-Text Generation (D2T) systems utilise carefully crafted domain specific rules and templates to generate high quality accurate texts. More recent approaches use neural systems to learn domain rules from the training data to produce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b302e27105c46fdc709c61d66c1b48b7
https://doi.org/10.1007/978-3-030-86957-1_16
https://doi.org/10.1007/978-3-030-86957-1_16
Autor:
Stewart Massie, Sutanu Chakraborti
This book constitutes the proceedings of the 31st International Conference on Case-Based Reasoning Research and Development, ICCBR 2023, which took place in Aberdeen, UK, in July 2023. The 26 full papers included in this book were carefully reviewe
Publikováno v:
ICTAI
Ambient, non-intrusive approaches to smart home health monitoring, while limited in capability, are preferred by residents. More intrusive methods of sensing, such as video and wearables, can offer richer data but at the cost of lower resident uptake
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8453d722030f061709b8804394b75f64
https://doi.org/10.1109/ictai50040.2020.00115
https://doi.org/10.1109/ictai50040.2020.00115
Publikováno v:
IJCNN
Long term health conditions, such as fall risk, are traditionally diagnosed through testing performed in hospital environments. Smart Homes offer the opportunity to perform continuous, long-term behavioural and vitals monitoring of residents, which m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4db1c4792add252dd7c2bca3ae243e20
https://doi.org/10.1109/ijcnn48605.2020.9207480
https://doi.org/10.1109/ijcnn48605.2020.9207480
Publikováno v:
CEC
Text classification is one of the most important tasks in the field of Natural Language Processing. There are many approaches that focus on two main aspects: generating an effective representation; and selecting and refining algorithms to build the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6f7803dddbf6a425172a68dbc5d9fef
https://doi.org/10.1109/cec48606.2020.9185641
https://doi.org/10.1109/cec48606.2020.9185641
Publikováno v:
Case-Based Reasoning Research and Development ISBN: 9783030583415
ICCBR
ICCBR
Automated generation of human readable text from structured information is challenging because grammatical rules are complex making good quality outputs difficult to achieve. Textual Case-Based Reasoning provides one approach in which the text from p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76f9b0a95413cd350f6bd222588fb68e
https://doi.org/10.1007/978-3-030-58342-2_18
https://doi.org/10.1007/978-3-030-58342-2_18
Publikováno v:
Pattern Recognition Letters. 93:133-142
General Purpose Emotion Lexicons (GPELs) that associate words with emotion categories remain a valuable resource for emotion analysis of text. However the static and formal nature of their vocabularies make them inadequate for extracting effective fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a3c4e34edfe55daee32b2a1736767ca
https://doi.org/10.1016/j.patrec.2016.12.009
https://doi.org/10.1016/j.patrec.2016.12.009
Publikováno v:
IEEE Intelligent Systems. 32:102-108
General-purpose emotion lexicons (GPELs) that associate words with emotion categories remain a valuable resource for emotion detection. However, the static and formal nature of their vocabularies make them an inadequate resource for detecting emotion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a28874d5c323b73d56f17c9a20ea4456
https://doi.org/10.1109/mis.2017.22
https://doi.org/10.1109/mis.2017.22