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1 Ergebnisse
1
Predicting Stress among Students via Psychometric Assessmen..:
, In:
Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments
,
Ghosh, Sagnik
;
Tripathi, Kirti
;
Garg, Ankita
... - p. 662-669 , 2024
Link:
https://dl.acm.org/doi/10.1145/3652037.3663949
RT T1 <cTitle>Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments</cTitle>: T1 <Title>Predicting Stress among Students via Psychometric Assessments and Machine Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3663949&Exemplar=1&LAN=DE A1 Ghosh, Sagnik A1 Tripathi, Kirti A1 Garg, Ankita A1 Singh, Dinesh A1 Prasad, Amit A1 Bhavsar, Arnav A1 Dutt, Varun PB ACM YR 2024 K1 Artificial Neural Networks K1 Common Yoga Protocol K1 Mental Health K1 R-squared Score K1 RMSPE K1 Stress K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms K1 Human-centered computing K1 Human computer interaction (HCI) K1 Empirical studies in HCI SP 662 OP 669 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3652037.3663949 DO https://dl.acm.org/doi/10.1145/3652037.3663949 SF ELIB - SuUB Bremen
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