Ibtissam Abnane

J. Softw. Evol. Process., April, 2024

Global and local interpretability techniques of supervised machine learning black box models for numerical medical data.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

2023

Evaluating ensemble imputation in software effort estimation.

[BibT_eX]

[DOI]

Empir. Softw. Eng., March, 2023

Comparing Ensemble and Single Classifiers Using KNN Imputation for Incomplete Heart Disease Datasets.

[BibT_eX]

[DOI]

Ismail Moatadid

Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023

Does Categorical Encoding Affect the Interpretability of a Multilayer Perceptron for Breast Cancer Classification?

[BibT_eX]

[DOI]

José Luis Fernades-Aleman

Proceedings of the 12th International Conference on Data Science, 2023

2022

Interpretability in the medical field: A systematic mapping and review study.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

Performance-Interpretability Tradeoff of Mamdani Neuro-Fuzzy Classifiers for Medical Data.

[BibT_eX]

[DOI]

Proceedings of the Information Systems and Technologies, 2022

Machine and Deep Learning Predictive Techniques for Blood Glucose Level.

[BibT_eX]

[DOI]

Proceedings of the Information Systems and Technologies, 2022

A Systematic Map of Interpretability in Medicine.

[BibT_eX]

[DOI]

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

Evaluating Interpretability of Multilayer Perceptron and Support Vector Machines for Breast Cancer Classification.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE/ACS International Conference on Computer Systems and Applications, 2022

2021

Ensemble Case based Reasoning Imputation in Breast Cancer Classification.

[BibT_eX]

[DOI]

J. Inf. Sci. Eng., 2021

Assessing and Comparing Interpretability Techniques for Artificial Neural Networks Breast Cancer Classification.

[BibT_eX]

[DOI]

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021

A systematic mapping study for ensemble classification methods in cardiovascular disease.

[BibT_eX]

[DOI]

Mohamed Hosni

Manal El Bajta

Ginés García-Mateos

Artif. Intell. Rev., 2021

Heterogeneous ensemble imputation for software development effort estimation.

[BibT_eX]

[DOI]

Proceedings of the PROMISE '21: 17th International Conference on Predictive Models and Data Analytics in Software Engineering, 2021

Deep and Ensemble Learning Based Land Use and Land Cover Classification.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

2020

Fuzzy case-based-reasoning-based imputation for incomplete data in software engineering repositories.

[BibT_eX]

[DOI]

J. Softw. Evol. Process., 2020

Missing data techniques in classification for cardiovascular dysautonomias diagnosis.

[BibT_eX]

[DOI]

Ilham Kadi

Medical Biol. Eng. Comput., 2020

Data preprocessing in knowledge discovery in breast cancer: systematic mapping study.

[BibT_eX]

[DOI]

Imane Chlioui

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

Artificial Neural Networks Interpretation Using LIME for Breast Cancer Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020

Comparing Statistical and Machine Learning Imputation Techniques in Breast Cancer Classification.

[BibT_eX]

[DOI]

Imane Chlioui

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019

Reviewing ensemble classification methods in breast cancer.

[BibT_eX]

[DOI]

Mohamed Hosni

Comput. Methods Programs Biomed., 2019

Impact of Parameter Tuning on Machine Learning Based Breast Cancer Classification.

[BibT_eX]

[DOI]

Mohamed Hosni

Proceedings of the New Knowledge in Information Systems and Technologies - Volume 3, 2019

Breast Cancer Classification with Missing Data Imputation.

[BibT_eX]

[DOI]

Imane Chlioui

Proceedings of the New Knowledge in Information Systems and Technologies - Volume 3, 2019

Predicting blood glucose using an LSTM Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019

Analogy Software Effort Estimation Using Ensemble KNN Imputation.

[BibT_eX]

[DOI]

Proceedings of the 45th Euromicro Conference on Software Engineering and Advanced Applications, 2019

2018

Support vector regression-based imputation in analogy-based software development effort estimation.

[BibT_eX]

[DOI]

J. Softw. Evol. Process., 2018

Evaluating Pred(p) and standardized accuracy criteria in software development effort estimation.

[BibT_eX]

[DOI]

J. Softw. Evol. Process., 2018

Improved Analogy-based Effort Estimation with Incomplete Mixed Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

2017

Empirical evaluation of fuzzy analogy for software development effort estimation.

[BibT_eX]

[DOI]

Proceedings of the Symposium on Applied Computing, 2017

Fuzzy Analogy Based Effort Estimation: An Empirical Comparative Study.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Computer and Information Technology, 2017

2016

Missing data techniques in analogy-based software development effort estimation.

[BibT_eX]

[DOI]

J. Syst. Softw., 2016

Evaluating Fuzzy Analogy on incomplete software projects data.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015

Systematic mapping study of missing values techniques in software engineering data.

[BibT_eX]

[DOI]