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Leevi Rantala et al.
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Fabiano Pecorelli et al.
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Xiaoxue Ren et al.
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code2vec: Learning Distributed Representations of Code
Uri Alon et al.
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The Scent of a Smell: An Extensive Comparison Between Textual and Structural Smells
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Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
Osama Abdeljaber et al.
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Code smell severity classification using machine learning techniques
Francesca Arcelli Fontana et al.
KNOWLEDGE-BASED SYSTEMS (2017)
LSTM: A Search Space Odyssey
Klaus Greff et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)
Curating GitHub for engineered software projects
Nuthan Munaiah et al.
EMPIRICAL SOFTWARE ENGINEERING (2017)
Comparing and experimenting machine learning techniques for code smell detection
Francesca Arcelli Fontana et al.
EMPIRICAL SOFTWARE ENGINEERING (2016)
Classifying and segmenting microscopy images with deep multiple instance learning
Oren Z. Kraus et al.
BIOINFORMATICS (2016)
An approach to prioritize code smells for refactoring
Santiago A. Vidal et al.
AUTOMATED SOFTWARE ENGINEERING (2016)
Mining Version Histories for Detecting Code Smells
Fabio Palomba et al.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (2015)
Deep Convolutional Neural Networks for Large-scale Speech Tasks
Tara N. Sainath et al.
NEURAL NETWORKS (2015)
Detecting software design defects using relational association rule mining
Gabriela Czibula et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2015)
Code-Smell Detection as a Bilevel Problem
Dilan Sahin et al.
ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY (2014)
A Cooperative Parallel Search-Based Software Engineering Approach for Code-Smells Detection
Wael Kessentini et al.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (2014)
Representation Learning: A Review and New Perspectives
Yoshua Bengio et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
Identification of extract method refactoring opportunities for the decomposition of methods
Nikolaos Tsantalis et al.
JOURNAL OF SYSTEMS AND SOFTWARE (2011)
DECOR: A Method for the Specification and Detection of Code and Design Smells
Naouel Moha et al.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (2010)
L-1-regularization path algorithm for generalized linear models
Mee Young Park et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2007)
A fast learning algorithm for deep belief nets
Geoffrey E. Hinton et al.
NEURAL COMPUTATION (2006)
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