Found: 19
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Evolutionary Optimization of Software Quality Modeling with Multiple Repositories.
- Published in:
- IEEE Transactions on Software Engineering, 2010, v. 36, n. 6, p. 852, doi. 10.1109/TSE.2010.51
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- Article
Choosing software metrics for defect prediction: an investigation on feature selection techniques.
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- Software: Practice & Experience, 2011, v. 41, n. 5, p. 579, doi. 10.1002/spe.1043
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- Article
Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection.
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- Information (2078-2489), 2021, v. 12, n. 7, p. 272, doi. 10.3390/info12070272
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- Article
Evaluating Feature Selection Methods for Network Intrusion Detection with Kyoto Data.
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- International Journal of Reliability, Quality & Safety Engineering, 2016, v. 23, n. 1, p. -1, doi. 10.1142/S0218539316500017
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- Article
CLUSTERING-BASED NETWORK INTRUSION DETECTION.
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- International Journal of Reliability, Quality & Safety Engineering, 2007, v. 14, n. 2, p. 169, doi. 10.1142/S0218539307002568
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- Article
Software quality analysis by combining multiple projects and learners.
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- Software Quality Journal, 2009, v. 17, n. 1, p. 25, doi. 10.1007/s11219-008-9058-3
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- Article
Software quality estimation with limited fault data: a semi-supervised learning perspective.
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- Software Quality Journal, 2007, v. 15, n. 3, p. 327, doi. 10.1007/s11219-007-9013-8
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- Article
Investigating the relationship between time and predictive model maintenance.
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- Journal of Big Data, 2020, v. 7, n. 1, p. 1, doi. 10.1186/s40537-020-00312-x
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- Article
Examining characteristics of predictive models with imbalanced big data.
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- Journal of Big Data, 2019, v. 6, n. 1, p. N.PAG, doi. 10.1186/s40537-019-0231-2
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- Article
A survey on addressing high-class imbalance in big data.
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- Journal of Big Data, 2018, v. 5, n. 1, p. 1, doi. 10.1186/s40537-018-0151-6
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- Article
LOW-EFFORT LABELING OF NETWORK EVENTS FOR INTRUSION DETECTION IN WLANS.
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- International Journal on Artificial Intelligence Tools, 2008, v. 17, n. 3, p. 521, doi. 10.1142/S0218213008004035
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- Article
SOFTWARE QUALITY CLASSIFICATION MODELING USING THE SPRINT DECISION TREE ALGORITHM.
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- International Journal on Artificial Intelligence Tools, 2003, v. 12, n. 3, p. 207, doi. 10.1142/S0218213003001204
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- Article
A literature review on one-class classification and its potential applications in big data.
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- Journal of Big Data, 2021, v. 8, n. 1, p. 1, doi. 10.1186/s40537-021-00514-x
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- Article
The use of decision trees for cost-sensitive classification: an empirical study in software quality prediction.
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- WIREs: Data Mining & Knowledge Discovery, 2011, v. 1, n. 5, p. 448, doi. 10.1002/widm.38
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- Article
On the Stability of Feature Selection Methods in Software Quality Prediction: An Empirical Investigation.
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- International Journal of Software Engineering & Knowledge Engineering, 2015, v. 25, n. 9/10, p. 1467, doi. 10.1142/S0218194015400288
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- Article
DETECTING NOISY INSTANCES WITH THE ENSEMBLE FILTER:: A STUDY IN SOFTWARE QUALITY ESTIMATION.
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- International Journal of Software Engineering & Knowledge Engineering, 2006, v. 16, n. 1, p. 53, doi. 10.1142/S0218194006002677
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- Article
Predicting Fault-Prone Modules in Embedded Systems Using Analogy-Based Classification Models.
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- International Journal of Software Engineering & Knowledge Engineering, 2002, v. 12, n. 2, p. 201, doi. 10.1142/S0218194002000883
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- Article
Deep learning applications and challenges in big data analytics.
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- Journal of Big Data, 2015, v. 2, n. 1, p. 1, doi. 10.1186/s40537-014-0007-7
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- Article
Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication.
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- Machine Learning & Knowledge Extraction, 2022, v. 4, n. 2, p. 502, doi. 10.3390/make4020023
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- Article