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A Machine Learning Pipeline to Automatically Identify and C..:

, In: Proceedings of the Sixteenth Mexican International Conference on Computer Science,

Aragón, M. Ezra ; Carlos, M. Ricardo ; Gurrola, Luis C. González. - p. 1-4 , 2016

Link: https://dl.acm.org/doi/10.1145/3149235.3149238

RT 
T1 <cTitle>Proceedings of the Sixteenth Mexican International Conference on Computer Science</cTitle>: T1 <Title>A Machine Learning Pipeline to Automatically Identify and Classify Roadway Surface Disruptions</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3149238&Exemplar=1&LAN=DE
				
A1 Aragón, M. Ezra
A1 Carlos, M. Ricardo
A1 Gurrola, Luis C. González
A1 Escalante, Hugo Jair
PB ACM
YR 2016
K1 Accelerometer
K1 Bag of Words
K1 Machine Learning
K1 Mobile Sensing
K1 Smartphone
K1 Information systems
K1 Information systems applications
K1 Spatial-temporal systems
K1 Sensor networks
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Applied computing
K1 Operations research
K1 Transportation
K1 Human-centered computing
K1 Ubiquitous and mobile computing
K1 Ubiquitous and mobile devices
K1 Smartphones
SP 1
OP 4
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3149235.3149238
DO https://dl.acm.org/doi/10.1145/3149235.3149238
SF ELIB - SuUB Bremen

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