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High-Impact Bug Report Identification with Imbalanced Learning Strategies

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A survey of the use of crowdsourcing in software engineering

(2017) Ke Mao et al.   JOURNAL OF SYSTEMS AND SOFTWARE

Combining text mining and data mining for bug report classification

(2016) Yu Zhou et al.   Journal of Software-Evolution and Process

A survey on bug-report analysis

(2015) Jie Zhang et al.   Science China-Information Sciences

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

(2014) Guang-Bin Huang   Cognitive Computation

Leveraging the Crowd: How 48,000 Users Helped Improve Lync Performance

(2013) Robert Musson et al.   IEEE SOFTWARE

Dynamic ensemble extreme learning machine based on sample entropy

(2012) Jun-hai Zhai et al.   SOFT COMPUTING

Reducing the effort of bug report triage

(2011) John Anvik et al.   ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY

Dynamic classifier ensemble model for customer classification with imbalanced class distribution

(2011) Jin Xiao et al.   EXPERT SYSTEMS WITH APPLICATIONS

An experimental comparison of classification algorithms for imbalanced credit scoring data sets

(2011) Iain Brown et al.   EXPERT SYSTEMS WITH APPLICATIONS

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING