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Journal of Software: Evolution and Process(2)
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ENASE 2016 - Proceedings of the 11th International Conference on Evaluation of Novel Software Approaches to Software Engineering(1)
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scopus(9)
Classification techniques in breast cancer diagnosis: A systematic literature review
ArticleAbstract: Data mining (DM) consists in analysing a set of observations to find unsuspected relationships and tPalabras claves:Breast Cancer, classification, Data Mining, diagnosisAutores:Alain Abran, ElOuassif B., Hosni M., Idri A.Fuentes:scopusAnalogy Software Effort Estimation Using Ensemble KNN Imputation
Conference ObjectAbstract: Missing data are a serious issue that influences the prediction accuracy of software development effPalabras claves:Analogy-based-software-efoort-estimation, ensemble, grid-search, missing-data, parameter-optimisationAutores:Abnane I., Alain Abran, Hosni M., Idri A.Fuentes:scopusHeterogeneous ensemble imputation for software development effort estimation
Conference ObjectAbstract: Choosing the appropriate Missing Data (MD) imputation technique for a given Software development effPalabras claves:heterogenous ensemble, imputation, Machine learning, Missing data, Software development effort estimation, standardized accuracyAutores:Abnane I., Alain Abran, Hosni M., Idri A.Fuentes:scopusImproved estimation of software development effort using Classical and Fuzzy Analogy ensembles
ArticleAbstract: Delivering an accurate estimate of software development effort plays a decisive role in successful mPalabras claves:analogy, ensemble effort estimation, fuzzy logic, Software development effort estimationAutores:Alain Abran, Hosni M., Idri A.Fuentes:scopusEvaluating filter fuzzy analogy homogenous ensembles for software development effort estimation
ArticleAbstract: Researchers have developed and evaluated many techniques to deliver accurate estimates of the effortPalabras claves:ensemble, feature selection, filter, fuzzy analogy, Software development effort estimationAutores:Alain Abran, Hosni M., Idri A.Fuentes:scopusInvestigating heterogeneous ensembles with filter feature selection for software effort estimation
Conference ObjectAbstract: Ensemble Effort Estimation (EEE) consists on predicting the software development effort by combiningPalabras claves:accuracy, ensemble effort estimation, Features selection, filter, Machine learningAutores:Alain Abran, Hosni M., Idri A.Fuentes:scopusOn the value of filter feature selection techniques in homogeneous ensembles effort estimation
ArticleAbstract: Software development effort estimation (SDEE) remains as the principal activity in software projectPalabras claves:ensemble effort estimation, feature selection, filter, Machine learning, Software development effort estimationAutores:Alain Abran, Hosni M., Idri A.Fuentes:scopusOn the value of parameter tuning in heterogeneous ensembles effort estimation
ArticleAbstract: Accurate estimation of software development effort estimation (SDEE) is fundamental for efficient maPalabras claves:Heterogeneous ensembles, Machine learning, Optimization techniques, Software effort estimation, Swarm optimizationAutores:Alain Abran, Hosni M., Idri A., Nassif A.B.Fuentes:scopusSystematic mapping study of ensemble effort estimation
Conference ObjectAbstract: Ensemble methods have been used recently for prediction in data mining area in order to overcome thePalabras claves:ensemble effort estimation, Software development effort estimation, Systematic Mapping StudyAutores:Alain Abran, Hosni M., Idri A.Fuentes:scopus