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Artificial Intelligence methods to help measure sensory dis..:

, In: Proceedings of the 18th "Ergonomie et Informatique Avancée" Conference,

Pichon, Blandine ; Donnadieu, Sophie ; Benoit, Eric. - p. 1-6 , 2023

Link: https://dl.acm.org/doi/10.1145/3624323.3624339

RT 
T1 <cTitle>Proceedings of the 18th "Ergonomie et Informatique Avancée" Conference</cTitle>: T1 <Title>Artificial Intelligence methods to help measure sensory disorders : approaches and perspectives</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3624339&Exemplar=1&LAN=DE
				
A1 Pichon, Blandine
A1 Donnadieu, Sophie
A1 Benoit, Eric
A1 Perrin, Stéphane
PB ACM
YR 2023
K1 Artificial Intelligence (IA)
K1 Autism spectrum disorders
K1 Deep Learning
K1 Internet of Things (IoT)
K1 Machine Learning
K1 Modeling
K1 Sensory Disorders
K1 Sensory Profile
K1 Sensory particularities
K1 Sensory processing
K1 General and reference
K1 Cross-computing tools and techniques
K1 Measurement
K1 Computing methodologies
K1 Modeling and simulation
K1 Model development and analysis
K1 Modeling methodologies
K1 Applied computing
K1 Law, social and behavioral sciences
K1 Psychology
K1 Life and medical sciences
K1 Health care information systems
K1 Human-centered computing
K1 Ubiquitous and mobile computing
K1 Ubiquitous and mobile computing theory, concepts and paradigms
K1 Ambient intelligence
SP 1
OP 6
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3624323.3624339
DO https://dl.acm.org/doi/10.1145/3624323.3624339
SF ELIB - SuUB Bremen

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