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Refining the ML/DL Argument for the SensorAble Project:

Ruttenberg, D ; Porayska-Pomsta, K ; White, S.
https://discovery.ucl.ac.uk/id/eprint/10102347/1/RUTTENBERG%20Research%20Paper%20%234--Study%20%234%20--%20Refining%20the%20ML%3ADL%20Argument%20in%20Autism%20Sensory%20Research.pdf. , 2020

Link: https://discovery.ucl.ac.uk/id/eprint/10102347/1/RUTTE..

RT Journal
T1 <Title>Refining the ML/DL Argument for the SensorAble Project</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftucl:oai:eprints.ucl.ac.uk.OAI2:10102347&Exemplar=1&LAN=DE
				
A1 Ruttenberg, D
A1 Porayska-Pomsta, K
A1 White, S
A1 Homes, J
PB Center for Open Science
YR 2020
K1 Autism Spectrum Condition
K1 Attention
K1 Focus
K1 Machine Learning
K1 Deep Learning
K1 Multimodal Learning Analytics
K1 Distractibility
K1 Anxiety
JF https://discovery.ucl.ac.uk/id/eprint/10102347/1/RUTTENBERG%20Research%20Paper%20%234--Study%20%234%20--%20Refining%20the%20ML%3ADL%20Argument%20in%20Autism%20Sensory%20Research.pdf
LK http://dx.doi.org/https://discovery.ucl.ac.uk/id/eprint/10102347/1/RUTTENBERG%20Research%20Paper%20%234--Study%20%234%20--%20Refining%20the%20ML%3ADL%20Argument%20in%20Autism%20Sensory%20Research.pdf
DO https://discovery.ucl.ac.uk/id/eprint/10102347/1/RUTTENBERG%20Research%20Paper%20%234--Study%20%234%20--%20Refining%20the%20ML%3ADL%20Argument%20in%20Autism%20Sensory%20Research.pdf
SF ELIB - SuUB Bremen

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