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An Inception Architecture-Based Model for Improving Code Re..:

, In: Proceedings of the 22nd International Conference on Evaluation and Assessment in Software Engineering 2018,

Mi, Qing ; Keung, Jacky ; Xiao, Yan.. - p. 139-144 , 2018

Link: https://dl.acm.org/doi/10.1145/3210459.3210473

RT 
T1 <cTitle>Proceedings of the 22nd International Conference on Evaluation and Assessment in Software Engineering 2018</cTitle>: T1 <Title>An Inception Architecture-Based Model for Improving Code Readability Classification</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3210473&Exemplar=1&LAN=DE
				
A1 Mi, Qing
A1 Keung, Jacky
A1 Xiao, Yan
A1 Mensah, Solomon
A1 Mei, Xiupei
PB ACM
YR 2018
K1 Code Readability Classification
K1 Deep Learning
K1 Empirical Software Engineering
K1 Inception Architecture
K1 Software and its engineering
K1 Software organization and properties
K1 Extra-functional properties
K1 Software reliability
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Machine learning approaches
K1 Neural networks
K1 Software creation and management
K1 Software post-development issues
K1 Maintaining software
SP 139
OP 144
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3210459.3210473
DO https://dl.acm.org/doi/10.1145/3210459.3210473
SF ELIB - SuUB Bremen

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