Towards an Adaptation of the COCOMO Cost Model to the Software Measurement Theory. - Ali Idri; B. Griech; A. El Iraki (ESEC / SIGSOFT FSE, 1997)

A Fuzzy Logic Based Set of Measures for Software Project Similarity: Validation and Possible Improvements. - Ali Idri; Alain Abran (IEEE METRICS, 2001)

Can neural networks be easily interpreted in software cost estimation? - Ali Idri; Taghi M. Khoshgoftaar; Alain Abran (FUZZ-IEEE, 2002)

Estimating Software Project Effort by Analogy Based on Linguistic Values. - Ali Idri; Alain Abran; Taghi M. Khoshgoftaar (IEEE METRICS, 2002)

Software Cost Estimation Models Using Radial Basis Function Neural Networks. - Ali Idri; Azeddine Zahi; Emilia Mendes; Abdelali Zakrani (IWSM/Mensura, 2007)

Applying Fuzzy ID3 Decision Tree for Software Effort Estimation - Sanaa Elyassami; Ali Idri (CoRR, 2011)

A survey of requirements engineering education. - Ali Idri; Sofia Ouhbi; José Luis Fernández-Alemán; Ambrosio Toval (EDUCON, 2012)

Investigating Effort Prediction of Software Projects on the ISBSG Dataset - Sanaa Elyassami; Ali Idri (CoRR, 2012)

Software Productivity: Harmonization in ISO/IEEE Software Engineering Standards. - Laila Cheikhi; Rafa E. Al-Qutaish; Ali Idri (J. Softw., 2012)

On the Use of Software Quality Standard ISO/IEC9126 in Mobile Environments. - Ali Idri; Karima Moumane; Alain Abran (APSEC (1), 2013)

Software Quality Requirements: A Systematic Mapping Study. - Sofia Ouhbi; Ali Idri; José Luis Fernández-Alemán; Ambrosio Toval (APSEC (1), 2013)

Software cost estimation by classical and Fuzzy Analogy for Web Hypermedia Applications: A replicated study. - Ali Idri; Azeddine Zahi (CIDM, 2013)

Assessing RBFN-Based Software Cost Estimation Models (S). - Ali Idri; Aya Hassani; Alain Abran (SEKE, 2013)

FMAMS: Fuzzy Mapping Approach for Mediation Systems. - Moulay Hafid El Yazidi; Ahmed Zellou; Ali Idri (Int. J. Appl. Evol. Comput., 2013)

Improving Fuzzy Analogy Based Software Development Effort Estimation. - Fatima Azzahra Amazal; Ali Idri; Alain Abran (APSEC (1), 2014)

Electronic health records for cardiovascular medicine. - Sofia Ouhbi; Ali Idri; José Luis Fernández-Alemán; Ambrosio Toval; Halima Benjelloun (EMBC, 2014)

An Analogy-Based Approach to Estimation of Software Development Effort Using Categorical Data. - Fatima Azzahra Amazal; Ali Idri; Alain Abran (IWSM/Mensura, 2014)

Evaluating Software Product Quality: A Systematic Mapping Study. - Sofia Ouhbi; Ali Idri; José Luis Fernández-Alemán; Ambrosio Toval (IWSM/Mensura, 2014)

Form driven web source integration. - Yasser Saissi; Ahmed Zellou; Ali Idri (SITA, 2014)

E-government portals best practices: a comprehensive survey. - Abdoullah Fath-Allah; Laila Cheikhi; Rafa E. Al-Qutaish; Ali Idri (Electron. Gov. an Int. J., 2014)

Software Development Effort estimation using Classical and fuzzy Analogy: a Cross-Validation Comparative Study. - Fatima Azzahra Amazal; Ali Idri; Alain Abran (Int. J. Comput. Intell. Appl., 2014)

Mobile PHRs Compliance with Android and iOS Usability Guidelines. - Belén Cruz Zapata; Antonio Hernández Niñirola; Ali Idri; José Luis Fernández-Alemán; Ambrosio Toval (J. Medical Syst., 2014)

Nk-schemas. - Samir Anter; Ahmed Zellou; Ali Idri (AICCSA, 2015)

Heart Disease Diagnosis Using C4.5 Algorithms - A Case Study. - Ali Idri; Ilham Kadi; Halima Benjelloun (HEALTHINF, 2015)

Applying ISO/IEC 25010 on Mobile Personal Health Records. - Sofia Ouhbi; Ali Idri; José Luis Fernández-Alemán; Ambrosio Toval; Halima Benjelloun (HEALTHINF, 2015)

Software Cost Estimation for Global Software Development - A Systematic Map and Review Study. - Manal El Bajta; Ali Idri; José Luis Fernández-Alemán; Joaquín Nicolás Ros; Ambrosio Toval (ENASE, 2015)

Frameworks for risk management in GSD projects: A survey. - Saad Yasser Chadli; Ali Idri; José Luis Fernández-Alemán; Joaquín Nicolás Ros (SITA, 2015)

A theoretical e-government portals' benchmarking framework. - Abdoullah Fath-Allah; Laila Cheikhi; Rafa E. Al-Qutaish; Ali Idri (SITA, 2015)

Preface. - Ali Idri; Mohammed Abdou Janati Idrissi (SITA, 2015)

Quality of Data in mediation systems. - Loubna Mimouni; Ahmed Zellou; Ali Idri (SITA, 2015)

User profile model: A user dimension based classification. - Sara Ouaftouh; Ahmed Zellou; Ali Idri (SITA, 2015)

Are mobile blood donation applications green? - Sofia Ouhbi; José Luis Fernández-Alemán; Ali Idri; José Rivera Pozo (SITA, 2015)

Mapping discovery methodology in a pure P2P mediation system for XML schemas. - El Yahyaoui El Idrissi Selma; Ahmed Zellou; Ali Idri (SITA, 2015)

Mapping in GAV context. - Moulay Hafid El Yazidi; Ahmed Zellou; Ali Idri (SITA, 2015)

Systematic mapping study of missing values techniques in software engineering data. - Ali Idri; Ibtissam Abnane; Alain Abran (SNPD, 2015)

RBFN Networks-based Models for Estimating Software Development Effort: A Cross-validation Study. - Ali Idri; Aya Hassani; Alain Abran (SSCI, 2015)

A Decision Tree-Based Approach for Cardiovascular Dysautonomias Diagnosis: A Case Study. - Ilham Kadi; Ali Idri (SSCI, 2015)

Predicting Software Product Quality: A Systematic Mapping Study. - Sofia Ouhbi; Ali Idri; José Luis Fernández-Alemán; Ambrosio Toval (Computación y Sistemas, 2015)

Analogy-based software development effort estimation: A systematic mapping and review. - Ali Idri; Fatima Azzahra Amazal; Alain Abran (Inf. Softw. Technol., 2015)

Compliance of Blood Donation Apps with Mobile OS Usability Guidelines. - Sofia Ouhbi; José Luis Fernández-Alemán; José Rivera Pozo; Manal El Bajta; Ambrosio Toval; Ali Idri (J. Medical Syst., 2015)

Free Blood Donation Mobile Applications. - Sofia Ouhbi; José Luis Fernández-Alemán; Ambrosio Toval; Ali Idri; José Rivera Pozo (J. Medical Syst., 2015)

Empirical Studies on Usability of mHealth Apps: A Systematic Literature Review. - Belén Cruz Zapata; José Luis Fernández-Alemán; Ali Idri; Ambrosio Toval (J. Medical Syst., 2015)

E-Government Portals Maturity Models: A Best Practices' Coverage Perspective. - Abdoullah Fath-Allah; Laila Cheikhi; Rafa E. Al-Qutaish; Ali Idri (J. Softw., 2015)

Requirements engineering education: a systematic mapping study. - Sofia Ouhbi; Ali Idri; José Luis Fernández-Alemán; Ambrosio Toval (Requir. Eng., 2015)

Identifying risks of software project management in Global Software Development: An integrative framework. - Saad Yasser Chadli; Ali Idri; José Luis Fernández-Alemán; Joaquín Nicolás Ros; Ambrosio Toval (AICCSA, 2016)

A survey of secondary studies in software process improvement. - Ali Idri; Laila Cheikhi (AICCSA, 2016)

Quality evaluation of cardiac decision support systems using ISO 25010 standard. - Ilham Kadi; Ali Idri; Sofia Ouhbi (AICCSA, 2016)

Towards XML schema extraction from deep web. - Yasser Saissi; Ahmed Zellou; Ali Idri (CIST, 2016)

Cardiovascular Dysautonomias Diagnosis Using Crisp and Fuzzy Decision Tree: A Comparative Study. - Ilham Kadi; Ali Idri (eHealth, 2016)

Systematic Mapping Study of Ensemble Effort Estimation. - Ali Idri; Mohamed Hosni; Alain Abran (ENASE, 2016)

A Validation of a Measurement Based E-Government Portals' Maturity Model. - Abdoullah Fath-Allah; Laila Cheikhi; Rafa E. Al-Qutaish; Ali Idri (SEAA, 2016)

Systematic Mapping Study of Dealing with Error in Software Development Effort Estimation. - Salma El Koutbi; Ali Idri; Alain Abran (SEAA, 2016)

Experiment design of free pregnancy monitoring mobile personal health records quality evaluation. - Ali Idri; Mariam Bachiri; José Luis Fernández-Alemán; Ambrosio Toval (HealthCom, 2016)

Toward User Profile Representation in Adapted Mediation Systems. - Sara Ouaftouh; Ahmed Zellou; Ali Idri (KEOD, 2016)

Discovering the Deep Web through XML Schema Extraction. - Yasser Saissi; Ahmed Zellou; Ali Idri (KDIR, 2016)

Towards a generic model of a user profile. - Samir Anter; Mly Hafid El Yazidi; Ahmed Zellou; Ali Idri (SITA, 2016)

A survey of empirical studies in software product maintainability prediction models. - Sara Elmidaoui; Laila Cheikhi; Ali Idri (SITA, 2016)

An Ε-government portals' maturity model - Architectural and procedural views. - Abdoullah Fath-Allah; Laila Cheikhi; Rafa E. Al-Qutaish; Ali Idri (SITA, 2016)

Requirements specification of an e-health solution to improve cardiovascular healthcare services in Morocco. - Sofia Ouhbi; Ali Idri; Rachid Hakmi; Halima Benjelloun; José Luis Fernández-Alemán; Ambrosio Toval (SITA, 2016)

An Empirical Evaluation of Mobile Software Usability Using ISO 9126 and QoS DiffServ Model. - Karima Moumane; Ali Idri; Khalid Nafil (SoMeT, 2016)

Evaluating Fuzzy Analogy on incomplete software projects data. - Ibtissam Abnane; Ali Idri (SSCI, 2016)

Improving effort estimation of Fuzzy Analogy using feature subset selection. - Ali Idri; Safae Cherradi (SSCI, 2016)

Improved estimation of software development effort using Classical and Fuzzy Analogy ensembles. - Ali Idri; Mohamed Hosni; Alain Abran (Appl. Soft Comput., 2016)

Mobile personal health records for pregnancy monitoring functionalities: Analysis and potential. - Mariam Bachiri; Ali Idri; José Luis Fernández-Alemán; Ambrosio Toval (Comput. Methods Programs Biomed., 2016)

Accuracy Comparison of Analogy-Based Software Development Effort Estimation Techniques. - Ali Idri; Fatima Azzahra Amazal; Alain Abran (Int. J. Intell. Syst., 2016)

A Framework for Evaluating the Software Product Quality of Pregnancy Monitoring Mobile Personal Health Records. - Ali Idri; Mariam Bachiri; José Luis Fernández-Alemán (J. Medical Syst., 2016)

Missing data techniques in analogy-based software development effort estimation. - Ali Idri; Ibtissam Abnane; Alain Abran (J. Syst. Softw., 2016)

Systematic literature review of ensemble effort estimation. - Ali Idri; Mohamed Hosni; Alain Abran (J. Syst. Softw., 2016)

Co-located and distributed natural-language requirements specification: traditional versus reuse-based techniques. - Juan Manuel Carrillo de Gea; Joaquín Nicolás; José Luis Fernández-Alemán; Ambrosio Toval; Sofia Ouhbi; Ali Idri (J. Softw. Evol. Process., 2016)

Effects of Using Requirements Catalogs on Effectiveness and Productivity of Requirements Specification in a Software Project Management Course. - José Luis Fernández-Alemán; Juan Manuel Carrillo de Gea; Joaquín Vidal Meca; Joaquín Nicolás Ros; Ambrosio Toval; Ali Idri (IEEE Trans. Educ., 2016)

A Best Practice Based E-Government Portals' Maturity Model - A Case Study. - Abdoullah Fath-Allah; Laila Cheikhi; Ali Idri; Rafa E. Al-Qutaish (CIT, 2017)

Fuzzy Analogy Based Effort Estimation: An Empirical Comparative Study. - Ali Idri; Ibtissam Abnane (CIT, 2017)

A Data Mining-Based Approach for Cardiovascular Dysautonomias Diagnosis and Treatment. - Ali Idri; Ilham Kadi (CIT, 2017)

Software product maintainability prediction: A survey of secondary studies. - Sara Elmidaoui; Laila Cheikhi; Ali Idri (CoDIT, 2017)

A quantum-based approach to error in software development effort estimation. - Salma El Koutbi; Ali Idri (CoDIT, 2017)

Software quality in mobile environments: A comparative study. - Karima Moumane; Ali Idri (CoDIT, 2017)

ISO/IEC 25010 Based Evaluation of Free Mobile Personal Health Records for Pregnancy Monitoring. - Ali Idri; Mariam Bachiri; José Luis Fernández-Alemán; Ambrosio Toval (COMPSAC (1), 2017)

A New Mapping Approach between XML Schemas in a P2P Environment. - El Yahyaoui El Idrissi Selma; Ahmed Zellou; Ali Idri (DeSE, 2017)

Entropy-based Framework Dealing with Error in Software Development Effort Estimation. - Salma El Koutbi; Ali Idri (ENASE, 2017)

A Reusable Requirements Catalog for Internationalized and Sustainable Blood Donation Apps. - Sofia Ouhbi; José Luis Fernández-Alemán; Ali Idri; Ambrosio Toval; José Rivera Pozo; Manal El Bajta (ENASE, 2017)

UPCAR: User Profile Clustering based Approach for Recommendation. - Sara Ouaftouh; Ahmed Zellou; Ali Idri (ICETC, 2017)

Software Cost Attributes in Global Software Development Projects: A Survey. - Manal El Bajta; Ali Idri; Joaquín Nicolás Ros; José Luis Fernández-Alemán; Ambrosio Toval (ICIME, 2017)

Gamified Mobile Blood Donation Applications. - Lamyae Sardi; Ali Idri; José Luis Fernández-Alemán (IWBBIO (1), 2017)

Identifying and mitigating risks of software project management in global software development. - Saad Yasser Chadli; Ali Idri (IWSM-Mensura, 2017)

Investigating heterogeneous ensembles with filter feature selection for software effort estimation. - Mohamed Hosni; Ali Idri; Alain Abran (IWSM-Mensura, 2017)

Empirical evaluation of fuzzy analogy for software development effort estimation. - Ibtissam Abnane; Ali Idri; Alain Abran (SAC, 2017)

Software effort estimation using classical analogy ensembles based on random subspace. - Mohamed Hosni; Ali Idri (SAC, 2017)

Requirements for a mobile personal health record to improve cardiovascular healthcare services. - Sofia Ouhbi; Ali Idri; Rachid Hakmi; Halima Benjelloun; José Luis Fernández-Alemán; Ambrosio Toval (SAC, 2017)

E-health internationalization requirements for audit purposes. - Sofia Ouhbi; José Luis Fernández-Alemán; Juan Manuel Carrillo de Gea; Ambrosio Toval; Ali Idri (Comput. Methods Programs Biomed., 2017)

Knowledge discovery in cardiology: A systematic literature review. - Ilham Kadi; Ali Idri; José Luis Fernández-Alemán (Int. J. Medical Informatics, 2017)

A systematic review of gamification in e-Health. - Lamyae Sardi; Ali Idri; José Luis Fernández-Alemán (J. Biomed. Informatics, 2017)

A systematic map of data analytics in breast cancer. - Ali Idri; Imane Chlioui; Bouchra El Ouassif (ACSW, 2018)

Quality Evaluation of Gamified Blood Donation Apps using ISO/IEC 25010 Standard. - Ali Idri; Lamyae Sardi; José Luis Fernández-Alemán (HEALTHINF, 2018)

Improved Analogy-based Effort Estimation with Incomplete Mixed Data. - Ibtissam Abnane; Ali Idri (FedCSIS, 2018)

MDQM: Mediation Data Quality Model Aligned Data Quality Model for Mediation Systems. - Loubna Mimouni; Ahmed Zellou; Ali Idri (KEOD, 2018)

Improved Effort Estimation of Heterogeneous Ensembles using Filter Feature Selection. - Mohamed Hosni; Ali Idri; Alain Abran (ICSOFT, 2018)

A new filtering-based query processing: improving semantic caching efficiency in mediation systems. - Ouafa Ajarroud; Ahmed Zellou; Ali Idri (SITA, 2018)

A Web Tool for Improving Case-Based Reasoning Model for Software Effort Estimation. - Fadoua Fellir; Khalid Nafil; Ali Idri; Lawrence Chung (SoMeT, 2018)

Software Development Effort Estimation Using Feature Selection Techniques. - Mohamed Hosni; Ali Idri (SoMeT, 2018)

Data Preprocessing for Decision Making in Medical Informatics: Potential and Analysis. - Houda Benhar; Ali Idri; José Luis Fernández-Alemán (WorldCIST (2), 2018)

A Survey on the Impact of Risk Factors and Mitigation Strategies in Global Software Development. - Saad Yasser Chadli; Ali Idri (WorldCIST (2), 2018)

Measurement Based E-government Portals' Benchmarking Framework: Architectural and Procedural Views. - Laila Cheikhi; Abdoullah Fath-Allah; Ali Idri; Rafa E. Al-Qutaish (WorldCIST (2), 2018)

Accuracy Comparison of Empirical Studies on Software Product Maintainability Prediction. - Sara Elmidaoui; Laila Cheikhi; Ali Idri (WorldCIST (2), 2018)

Data Mining Techniques in Diabetes Self-management: A Systematic Map. - Touria El Idrissi; Ali Idri; Zohra Bakkoury (WorldCIST (2), 2018)

A Systematic Map of Mobile Software Usability Evaluation. - Karima Moumane; Ali Idri (WorldCIST (2), 2018)

Software Effort Estimation Risk Management over Projects Portfolio. - Salma El Koutbi; Ali Idri (Comput. Inf. Sci., 2018)

A systematic map of medical data preprocessing in knowledge discovery. - Ali Idri; Houda Benhar; José Luis Fernández-Alemán; Ilham Kadi (Comput. Methods Programs Biomed., 2018)

Evaluating the Privacy Policies of Mobile Personal Health Records for Pregnancy Monitoring. - Mariam Bachiri; Ali Idri; José Luis Fernández-Alemán; Ambrosio Toval (J. Medical Syst., 2018)

Reusable Software Usability Specifications for mHealth Applications. - Belén Cruz Zapata; José Luis Fernández-Alemán; Ambrosio Toval; Ali Idri (J. Medical Syst., 2018)

Evaluating Pred(p) and standardized accuracy criteria in software development effort estimation. - Ali Idri; Ibtissam Abnane; Alain Abran (J. Softw. Evol. Process., 2018)

Support vector regression-based imputation in analogy-based software development effort estimation. - Ali Idri; Ibtissam Abnane; Alain Abran (J. Softw. Evol. Process., 2018)

Sustainability requirements for connected health applications. - Sofia Ouhbi; José Luis Fernández-Alemán; Ambrosio Toval; José Rivera Pozo; Ali Idri (J. Softw. Evol. Process., 2018)

On the value of parameter tuning in heterogeneous ensembles effort estimation. - Mohamed Hosni; Ali Idri; Alain Abran; Ali Bou Nassif (Soft Comput., 2018)

The Impact of SMOTE and Grid Search on Maintainability Prediction Models. - Sara Elmidaoui; Laila Cheikhi; Ali Idri (AICCSA, 2019)

Homogeneous and heterogeneous ensemble classification methods in diabetes disease: a review. - José Luis Fernández-Alemán; Juan Manuel Carrillo de Gea; Mohamed Hosni; Ali Idri; Ginés García-Mateos (EMBC, 2019)

Using ensemble classification methods in lung cancer disease. - Mohamed Hosni; Juan Manuel Carrillo de Gea; Ali Idri; José Luis Fernández-Alemán; José A. García-Berná (EMBC, 2019)

Improving Accessibility for People with Disabilities: A Case Study on Inclusive Beach Tourism. - Diego Mayordomo-Martínez; Juan Carlos Sánchez-Aarnoutse; Khalil Merzoukid; Manuel García-Hernández; Juan Manuel Carrillo de Gea; José A. García-Berná; José Luis Fernández-Alemán; Ali Idri; Ginés García-Mateos (EMBC, 2019)

Analogy Software Effort Estimation Using Ensemble KNN Imputation. - Ibtissam Abnane; Mohamed Hosni; Ali Idri; Alain Abran (SEAA, 2019)

Handling of Categorical Data in Software Development Effort Estimation: A Systematic Mapping Study. - Fatima Azzahra Amazal; Ali Idri (FedCSIS, 2019)

Predicting blood glucose using an LSTM Neural Network. - Touria El Idrissi; Ali Idri; Ibtissam Abnane; Zohra Bakkoury (FedCSIS, 2019)

A Requirements Catalog of Mobile Personal Health Records for Prenatal Care. - Mariam Bachiri; Ali Idri; Leanne M. Redman; José Luis Fernández-Alemán; Ambrosio Toval (ICCSA (4), 2019)

A Software Cost Estimation Taxonomy for Global Software Development Projects. - Manal El Bajta; Ali Idri (ICSOFT, 2019)

COSMIC Functional Size Measurement of Mobile Personal Health Records for Pregnancy Monitoring. - Mariam Bachiri; Ali Idri; Leanne M. Redman; Alain Abran; Juan Manuel Carrillo de Gea; José Luis Fernández-Alemán (WorldCIST (3), 2019)

Breast Cancer Classification with Missing Data Imputation. - Imane Chlioui; Ali Idri; Ibtissam Abnane; Juan Manuel Carrillo de Gea; José Luis Fernández-Alemán (WorldCIST (3), 2019)

Towards a Taxonomy of Software Maintainability Predictors. - Sara Elmidaoui; Laila Cheikhi; Ali Idri (WorldCIST (1), 2019)

Impact of Parameter Tuning on Machine Learning Based Breast Cancer Classification. - Ali Idri; Mohamed Hosni; Ibtissam Abnane; Juan Manuel Carrillo de Gea; José Luis Fernández-Alemán (WorldCIST (3), 2019)

Blood4Life: A Mobile Solution to Recruit and Retain Blood Donors Through Gamification and Trans-Theoretical Model. - Lamyae Sardi; Manal Kharbouch; Taoufik Rachad; Ali Idri; Juan Manuel Carrillo de Gea; José Luis Fernández-Alemán (WorldCIST (3), 2019)

Software Development Effort Estimation Using Regression Fuzzy Models. - Ali Bou Nassif; Mohammad Azzeh; Ali Idri; Alain Abran (Comput. Intell. Neurosci., 2019)

Reviewing ensemble classification methods in breast cancer. - Mohamed Hosni; Ibtissam Abnane; Ali Idri; Juan Manuel Carrillo de Gea; José Luis Fernández-Alemán (Comput. Methods Programs Biomed., 2019)

Social recommendation: A user profile clustering-based approach. - Sara Ouaftouh; Ahmed Zellou; Ali Idri (Concurr. Comput. Pract. Exp., 2019)

Empirical Studies on Software Product Maintainability Prediction: A Systematic Mapping and Review. - Sara Elmidaoui; Laila Cheikhi; Ali Idri; Alain Abran (e Informatica Softw. Eng. J., 2019)

Systematic mapping study of data mining-based empirical studies in cardiology. - Ilham Kadi; Ali Idri; José Luis Fernández-Alemán (Health Informatics J., 2019)

Systematic map and review of predictive techniques in diabetes self-management. - Touria El Idrissi; Ali Idri; Zohra Bakkoury (Int. J. Inf. Manag., 2019)

Sizing Prenatal mPHRs using COSMIC Measurement Method. - Mariam Bachiri; Ali Idri; Alain Abran; Leanne M. Redman; José Luis Fernández-Alemán (J. Medical Syst., 2019)

A Systematic Mapping Study of Data Preparation in Heart Disease Knowledge Discovery. - Houda Benhar; Ali Idri; José Luis Fernández-Alemán (J. Medical Syst., 2019)

Analysis of cluster center initialization of 2FA-kprototypes analogy-based software effort estimation. - Fatima Azzahra Amazal; Ali Idri; Alain Abran (J. Softw. Evol. Process., 2019)

Evaluating filter fuzzy analogy homogenous ensembles for software development effort estimation. - Mohamed Hosni; Ali Idri; Alain Abran (J. Softw. Evol. Process., 2019)

Empirical evaluation of an entropy-based approach to estimation variation of software development effort. - Salma El Koutbi; Ali Idri; Alain Abran (J. Softw. Evol. Process., 2019)

Impact of Threshold Values for Filter-based Univariate Feature Selection in Heart Disease Classification. - Houda Benhar; Ali Idri; Mohamed Hosni (HEALTHINF, 2020)

Evaluating a Comparing Deep Learning Architectures for Blood Glucose Prediction. - Touria El Idrissi; Ali Idri (BIOSTEC (Selected Papers), 2020)

Strategies of Multi-Step-ahead Forecasting for Blood Glucose Level using LSTM Neural Networks: A Comparative Study. - Touria El Idrissi; Ali Idri; Ilham Kadi; Zohra Bakkoury (HEALTHINF, 2020)

Comparing Statistical and Machine Learning Imputation Techniques in Breast Cancer Classification. - Imane Chlioui; Ibtissam Abnane; Ali Idri (ICCSA (4), 2020)

Deep Learning for Blood Glucose Prediction: CNN vs LSTM. - Touria El Idrissi; Ali Idri (ICCSA (2), 2020)

Software Requirement Catalog on Acceptability, Usability, Internationalization and Sustainability for Contraception mPHRs. - Manal Kharbouch; Ali Idri; Leanne M. Redman; Hassan Alami; José Luis Fernández-Alemán; Ambrosio Toval (ICCSA (4), 2020)

Gamified e-Health Solution to Promote Postnatal Care in Morocco. - Lamyae Sardi; Ali Idri; Taoufik Rachad; Leanne M. Redman; Hassan Alami (ICCSA (4), 2020)

Predicting Software Maintainability using Ensemble Techniques and Stacked Generalization. - Sara Elmidaoui; Laila Cheikhi; Ali Idri; Alain Abran (IWSM-Mensura, 2020)

Identifying Software Cost Attributes of Software Project Management in Global Software Development: An Integrative Framework. - Manal El Bajta; Ali Idri (SITA, 2020)

A Review of Open Source Software Maintenance Effort Estimation. - Chaymae Miloudi; Laila Cheikhi; Ali Idri (SITA, 2020)

A Complete Prenatal Solution for a Reproductive Health Unit in Morocco. - Mariam Bachiri; Ali Idri; Taoufik Rachad; Hassan Alami; Leanne M. Redman (WorldCIST (3), 2020)

Reviewing Data Analytics Techniques in Breast Cancer Treatment. - Mahmoud Ezzat; Ali Idri (WorldCIST (3), 2020)

Artificial Neural Networks Interpretation Using LIME for Breast Cancer Diagnosis. - Hajar Hakkoum; Ali Idri; Ibtissam Abnane (WorldCIST (3), 2020)

MyContraception: An Evidence-Based Contraception mPHR for Better Contraceptive Fit. - Manal Kharbouch; Ali Idri; Taoufiq Rachad; Hassan Alami; Leanne M. Redman; Youssef Stelate (WorldCIST (3), 2020)

Machine Learning and Image Processing for Breast Cancer: A Systematic Map. - Hasnae Zerouaoui; Ali Idri; Khalid El Asnaoui (WorldCIST (3), 2020)

Data preprocessing in knowledge discovery in breast cancer: systematic mapping study. - Imane Chlioui; Ali Idri; Ibtissam Abnane (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020)

Data preprocessing for heart disease classification: A systematic literature review. - Houda Benhar; Ali Idri; José Luis Fernández-Alemán (Comput. Methods Programs Biomed., 2020)

Mobile health applications for postnatal care: Review and analysis of functionalities and technical features. - Lamyae Sardi; Ali Idri; Leanne M. Redman; Hassan Alami; Rachid Bezad; José Luis Fernández-Alemán (Comput. Methods Programs Biomed., 2020)

A coverage-based approach for filtering and prioritizing regions in a semantic cache. - Ouafa Ajarroud; Ahmed Zellou; Ali Idri (Concurr. Comput. Pract. Exp., 2020)

Automated Methods for Detection and Classification Pneumonia based on X-Ray Images Using Deep Learning. - Khalid El Asnaoui; Youness Chawki; Ali Idri (CoRR, 2020)

Machine Learning Techniques for Software Maintainability Prediction: Accuracy Analysis. - Sara Elmidaoui; Laila Cheikhi; Ali Idri; Alain Abran (J. Comput. Sci. Technol., 2020)

A mapping study of ensemble classification methods in lung cancer decision support systems. - Mohamed Hosni; Ginés García-Mateos; Juan Manuel Carrillo de Gea; Ali Idri; José Luis Fernández-Alemán (Medical Biol. Eng. Comput., 2020)

Missing data techniques in classification for cardiovascular dysautonomias diagnosis. - Ali Idri; Ilham Kadi; Ibtissam Abnane; José Luis Fernández-Alemán (Medical Biol. Eng. Comput., 2020)

Intelligent Mobile Applications: A Systematic Mapping Study. - Taoufik Rachad; Ali Idri (Mob. Inf. Syst., 2020)

Fuzzy case-based-reasoning-based imputation for incomplete data in software engineering repositories. - Ibtissam Abnane; Ali Idri; Alain Abran (J. Softw. Evol. Process., 2020)

Homogeneous Ensemble based Support Vector Machine in Breast Cancer Diagnosis. - Bouchra El Ouassif; Ali Idri; Mohamed Hosni (HEALTHINF, 2021)

Deep and Ensemble Learning Based Land Use and Land Cover Classification. - Hicham Benbriqa; Ibtissam Abnane; Ali Idri; Khouloud Tabiti (ICCSA (3), 2021)

Investigating Accuracy and Diversity in Heterogeneous Ensembles for Breast Cancer Classification. - Bouchra El Ouassif; Ali Idri; Mohamed Hosni (ICCSA (2), 2021)

Breast Fine Needle Cytological Classification Using Deep Hybrid Architectures. - Hasnae Zerouaoui; Ali Idri; Fatima Zahrae Nakach; Ranya El Hadri (ICCSA (2), 2021)

Neural Networks based Software Development Effort Estimation: A Systematic Mapping Study. - Fatima Ezzahra Boujida; Fatima Azzahra Amazal; Ali Idri (ICSOFT, 2021)

Heterogeneous ensemble imputation for software development effort estimation. - Ibtissam Abnane; Ali Idri; Mohamed Hosni; Alain Abran (PROMISE, 2021)

A Requirements Catalog of Mobile Geographic Information System for Data Collection. - Badr El Fhel; Lamyae Sardi; Ali Idri (WorldCIST (2), 2021)

Ensemble Regression for Blood Glucose Prediction. - Mohamed Zaim Wadghiri; Ali Idri; Touria El Idrissi (WorldCIST (1), 2021)

A systematic mapping study for ensemble classification methods in cardiovascular disease. - Mohamed Hosni; Juan Manuel Carrillo de Gea; Ali Idri; Manal El Bajta; José Luis Fernández-Alemán; Ginés García-Mateos; Ibtissam Abnane (Artif. Intell. Rev., 2021)

Assessing and Comparing Interpretability Techniques for Artificial Neural Networks Breast Cancer Classification. - Hajar Hakkoum; Ali Idri; Ibtissam Abnane (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

Classification techniques in breast cancer diagnosis: A systematic literature review. - Bouchra El Ouassif; Ali Idri; Mohamed Hosni; Alain Abran (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

Ensemble Case based Reasoning Imputation in Breast Cancer Classification. - Imane Chlioui; Ali Idri; Ibtissam Abnane; Mahmoud Ezzat (J. Inf. Sci. Eng., 2021)

Mobile Technology for Improved Contraceptive Care in Morocco. - Manal Kharbouch; Ali Idri; Taoufik Rachad; Hassan Alami; Leanne M. Redman; Youssef Stelate (J. Medical Syst., 2021)

Reviewing Machine Learning and Image Processing Based Decision-Making Systems for Breast Cancer Imaging. - Hasnae Zerouaoui; Ali Idri (J. Medical Syst., 2021)

Gamified Mobile Applications for Improving Driving Behavior: A Systematic Mapping Study. - Abderrahim El hafidy; Taoufik Rachad; Ali Idri; Ahmed Zellou (Mob. Inf. Syst., 2021)

Estimating software development effort using fuzzy clustering-based analogy. - Fatima Azzahra Amazal; Ali Idri (J. Softw. Evol. Process., 2021)

On the value of filter feature selection techniques in homogeneous ensembles effort estimation. - Mohamed Hosni; Ali Idri; Alain Abran (J. Softw. Evol. Process., 2021)

Evaluating Interpretability of Multilayer Perceptron and Support Vector Machines for Breast Cancer Classification. - Hajar Hakkoum; Ibtissam Abnane; Ali Idri (AICCSA, 2022)

Neuro-fuzzy ensembles: A systematic mapping study. - Hafsaa Ouifak; Ali Idri (AICCSA, 2022)

Histological breast cancer classification using CNN and MLP based ensembles. - Hasnae Zerouaoui; Ali Idri; Omar El Alaoui (AICCSA, 2022)

Ensemble Feature Selection for Heart Disease Classification. - Houda Benhar; Ali Idri; Mohamed Hosni (HEALTHINF, 2022)

COVID-19 Diagnosis using Single-modality and Joint Fusion Deep Convolutional Neural Network Models. - Sara El-Ateif; Ali Idri (BIOIMAGING, 2022)

A Systematic Map of Interpretability in Medicine. - Hajar Hakkoum; Ibtissam Abnane; Ali Idri (HEALTHINF, 2022)

Classifying Diabetic Retinopathy using CNN and Machine Learning. - Chaymaa Lahmar; Ali Idri (BIOIMAGING, 2022)

Referable Diabetic Retinopathy Detection Using Deep Feature Extraction and Random Forest. - Chaymaa Lahmar; Ali Idri (BIOSTEC (Selected Papers), 2022)

Classifying Breast Cytological Images using Deep Learning Architectures. - Hasnae Zerouaoui; Ali Idri (HEALTHINF, 2022)

Quality Evaluation of Mobile GIS for Data Collection. - Badr El Fhel; Lamyae Sardi; Ali Idri (ENASE, 2022)

A Reusable Catalog of Requirements for Gamified Mobile Health Applications. - Lamyae Sardi; Ali Idri; Leanne M. Redman; Hassan Alami; José Luis Fernández-Alemán (ENASE, 2022)

Whole-slide Classification of H&E-stained Cervix Uteri Tissue using Deep Neural Networks. - Ferdaous Idlahcen; Pierjos Francis Colere Mboukou; Hasnae Zerouaoui; Ali Idri (KDIR, 2022)

Comparative Assessment of Deep End-To-End, Deep Hybrid and Deep Ensemble Learning Architectures for Breast Cancer Histological Classification. - Hasnae Zerouaoui; Ali Idri (IC3K, 2022)

Assessing the Impact of Deep End-to-End Architectures in Ensemble Learning for Histopathological Breast Cancer Classification. - Hasnae Zerouaoui; Ali Idri; Omar El Alaoui (KDIR, 2022)

Random Forest Based Deep Hybrid Architecture for Histopathological Breast Cancer Images Classification. - Fatima Zahrae Nakach; Hasnae Zerouaoui; Ali Idri (ICCSA (2), 2022)

Maintenance Effort Estimation for Open Source Software: Current Trends. - Chaymae Miloudi; Laila Cheikhi; Alain Abran; Ali Idri (IWSM-Mensura, 2022)

Deep Stacked Ensemble for Breast Cancer Diagnosis. - Omar El Alaoui; Hasnae Zerouaoui; Ali Idri (WorldCIST (1), 2022)

Machine and Deep Learning Predictive Techniques for Blood Glucose Level. - Mamoune Benaida; Ibtissam Abnane; Ali Idri; Touria El Idrissi (WorldCIST (1), 2022)

Towards a Taxonomy of Software Maintainability Predictors: A Detailed View. - Sara Elmidaoui; Laila Cheikhi; Ali Idri; Alain Abran (WorldCIST (3), 2022)

Systematic Map of Data Mining for Gynecologic Oncology. - Ferdaous Idlahcen; Ali Idri (WorldCIST (1), 2022)

The Impact of Instance Selection Algorithms on Maintenance Effort Estimation for Open-Source Software. - Chaymae Miloudi; Laila Cheikhi; Ali Idri; Alain Abran (WorldCIST (3), 2022)

Deep Hybrid AdaBoost Ensembles for Histopathological Breast Cancer Classification. - Fatima Zahrae Nakach; Hasnae Zerouaoui; Ali Idri (WorldCIST (1), 2022)

Performance-Interpretability Tradeoff of Mamdani Neuro-Fuzzy Classifiers for Medical Data. - Hafsaa Ouifak; Ali Idri; Hicham Benbriqa; Ibtissam Abnane (WorldCIST (1), 2022)

Systematic Map of Machine Learning Based Breast Cancer Screening. - Asma Zizaan; Ali Idri (WorldCIST (1), 2022)

Interpretability in the medical field: A systematic mapping and review study. - Hajar Hakkoum; Ibtissam Abnane; Ali Idri (Appl. Soft Comput., 2022)

Deep hybrid architectures for binary classification of medical breast cancer images. - Hasnae Zerouaoui; Ali Idri (Biomed. Signal Process. Control., 2022)

Ensemble blood glucose prediction in diabetes mellitus: A review. - Mohamed Zaim Wadghiri; Ali Idri; Touria El Idrissi; Hajar Hakkoum (Comput. Biol. Medicine, 2022)

Taking the pulse of a classroom with a gamified audience response system. - Juan José López-Jiménez; José Luis Fernández-Alemán; Laura López-González; Ofelia González-Sequeros; Begoña Moros; José A. García-Berná; Ali Idri; Ambrosio Toval (Comput. Methods Programs Biomed., 2022)

Univariate and Multivariate Filter Feature Selection for Heart Disease Classification. - Houda Benhar; Mohamed Hosni; Ali Idri (J. Inf. Sci. Eng., 2022)

The Impact of Grid Search on Bug Resolution Prediction for Open-Source Software. - Chaymae Miloudi; Laila Cheikhi; Ali Idri; Alain Abran (CoDIT, 2023)

Bug Resolution Prediction for Open-Source Software Using Ensembles of Instance Selection Algorithms. - Chaymae Miloudi; Laila Cheikhi; Ali Idri; Alain Abran (CoDIT, 2023)

Heterogeneous Ensemble Learning for Modelling Species Distribution: A Case Study of Redstarts Habitat Suitability. - Omar El Alaoui; Ali Idri (DATA, 2023)

Fundus Unimodal and Late Fusion Multimodal Diabetic Retinopathy Grading. - Sara El-Ateif; Ali Idri (DATA, 2023)

Does Categorical Encoding Affect the Interpretability of a Multilayer Perceptron for Breast Cancer Classification? - Hajar Hakkoum; Ali Idri; Ibtissam Abnane; José Luis Fernades-Aleman (DATA, 2023)

Integrating Autoencoder-Based Hybrid Models into Cervical Carcinoma Prediction from Liquid-Based Cytology. - Ferdaous Idlahcen; Ali Idri; Hasnae Zerouaoui (DATA, 2023)

Mapping Cost-Sensitive Learning for Imbalanced Medical Data: Research Trends and Applications. - Imane Araf; Ali Idri; Ikram Chairi (KDIR, 2023)

Impact of Thresholds of Univariate Filters for Predicting Species Distribution. - Yousra Cherif; Ali Idri; Omar El Alaoui (KDIR, 2023)

Enhancing Diabetic Retinopathy Detection Using CNNs with Dimensionality Reduction Techniques and K-Nearest Neighbors Ensembles. - Chaymaa Lahmar; Ali Idri (KDIR, 2023)

Comparing Ensemble and Single Classifiers Using KNN Imputation for Incomplete Heart Disease Datasets. - Ismail Moatadid; Ibtissam Abnane; Ali Idri (KDIR, 2023)

Explainability of MLP Based Species Distribution Models: A Case Study. - Imane El Assari; Hajar Hakkoum; Ali Idri (ICAART (3), 2023)

A Novel Bagged Ensemble Approach for Accurate Histopathological Breast Cancer Classification Using Transfer Learning and Convolutional Neural Networks. - Fatima Zahrae Nakach; Ali Idri (ICAART (Revised Selected Paper), 2023)

Deep Hybrid Bagging Ensembles for Classifying Histopathological Breast Cancer Images. - Fatima Zahrae Nakach; Ali Idri; Hasnae Zerouaoui (ICAART (2), 2023)

Bagged Ensembles for Blood Glucose Prediction: A Comparative Study. - Mohamed Zaim Wadghiri; Ali Idri (ICAART (3), 2023)

Applied Deep Learning Architectures for Breast Cancer Screening Classification. - Asma Zizaan; Ali Idri; Hasnae Zerouaoui (ICAART (3), 2023)

Reviewing Learning Software Engineering Through Serious Game Development. - Manal Kharbouch; José Alberto García-Berná; Juan Manuel Carrillo de Gea; Joaquín Nicolás Ros; José Ambrosio Toval Álvarez; Ali Idri; José Luis Fernández-Alemán (WorldCIST (2), 2023)

Application of neuro-fuzzy ensembles across domains: A systematic review of the two last decades (2000-2022). - Hafsaa Ouifak; Ali Idri (Eng. Appl. Artif. Intell., 2023)

Intelligent and Efficient IoT Through the Cooperation of TinyML and Edge Computing. - Ramon Sanchez-Iborra; Abdeljalil Zoubir; Abderahmane Hamdouchi; Ali Idri; Antonio F. Skarmeta (Informatica, 2023)

Binary classification of multi-magnification histopathological breast cancer images using late fusion and transfer learning. - Fatima Zahrae Nakach; Hasnae Zerouaoui; Ali Idri (Data Technol. Appl., 2023)

A new approach for histological classification of breast cancer using deep hybrid heterogenous ensemble. - Hasnae Zerouaoui; Ali Idri; Omar El Alaoui (Data Technol. Appl., 2023)

Deep hybrid architectures for diabetic retinopathy classification. - Chaymaa Lahmar; Ali Idri (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Evaluating ensemble imputation in software effort estimation. - Ibtissam Abnane; Ali Idri; Imane Chlioui; Alain Abran (Empir. Softw. Eng., 2023)

Machine learning based Breast Cancer screening: trends, challenges, and opportunities. - Asma Zizaan; Ali Idri (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Predicting the potential distribution of wheatear birds using stacked generalization-based ensembles. - Omar El Alaoui; Ali Idri (Ecol. Informatics, 2023)

Machine Learning Classification in Cardiology: A Systematic Mapping Study. - Khadija Anejjar; Fatima Azzahra Amazal; Ali Idri (DATA, 2024)

A Comparative Study on the Impact of Categorical Encoding on Black Box Model Interpretability. - Hajar Hakkoum; Ali Idri (DATA, 2024)

Optimizing Federated Learning for Intrusion Detection in IoT Networks. - Abderahmane Hamdouchi; Ali Idri (KDIR, 2024)

Insights into the Potential of Fuzzy Systems for Medical AI Interpretability. - Hafsaa Ouifak; Ali Idri (KDIR, 2024)

Fusion of Real and Synthetic Subtracted Contrast-Enhanced Mammograms for Enhanced Tumor Detection. - Fatima Zahrae Nakach; Ali Idri; Apostolia Tsirikoglou (ICMLA, 2024)

Feature Extraction and Dimensionality Reduction to Evaluate Decision Tree Ensembles for Diabetic Retinopathy Detection. - Chaymaa Lahmar; Ali Idri (ISPR (3), 2024)

BotCFP: A Machine Learning Based Tool for COSMIC Chatbots Sizing. - Rahma Becha; Asma Sellami; Nadia Bouassida; Ali Idri; Alain Abran (IWSM-Mensura, 2024)

Accessibility Evaluation Of Five Moroccan E-government Portals. - Mohammed Rida Ouaziz; Laila Cheikhi; Ali Idri; Alain Abran (IWSM-Mensura, 2024)

Evaluation of Bagging Ensembles on Multimodal Data for Breast Cancer Diagnosis. - Abdulganiyu Jimoh; Fatima Zahrae Nakach; Ali Idri; Ikram Chairi (Deep-Breath@MICCAI, 2024)

Habitat Suitability Assessment of Three Passerine Birds Using Ensemble Learning with Diverse Models. - Omar El Alaoui; Ali Idri (WorldCIST (3), 2024)

Multiclass Intrusion Detection in IoT Using Boosting and Feature Selection. - Abderrahmane Hamdouchi; Ali Idri (WorldCIST (3), 2024)

A Comparative Assessment of Wrappers and Filters for Detecting Cyber Intrusions. - Houssam Zouhri; Ali Idri (WorldCIST (3), 2024)

Cost-sensitive learning for imbalanced medical data: a review. - Imane Araf; Ali Idri; Ikram Chairi (Artif. Intell. Rev., 2024)

Assessing the effectiveness of dimensionality reduction on the interpretability of opaque machine learning-based attack detection systems. - Houssam Zouhri; Ali Idri; Hajar Hakkoum (Comput. Electr. Eng., 2024)

Global and local interpretability techniques of supervised machine learning black box models for numerical medical data. - Hajar Hakkoum; Ali Idri; Ibtissam Abnane (Eng. Appl. Artif. Intell., 2024)

On the differences between CNNs and vision transformers for COVID-19 diagnosis using CT and chest x-ray mono- and multimodality. - Sara El-Ateif; Ali Idri; José Luis Fernández-Alemán (Data Technol. Appl., 2024)

Exploring data mining and machine learning in gynecologic oncology. - Ferdaous Idlahcen; Ali Idri; Evgin Göçeri (Artif. Intell. Rev., 2024)

A new ontology-based similarity approach for measuring caching coverages provided by mediation systems. - Ouafa Ajarroud; Ahmed Zellou; Ali Idri (Knowl. Inf. Syst., 2024)

Eye diseases diagnosis using deep learning and multimodal medical eye imaging. - Sara El-Ateif; Ali Idri (Multim. Tools Appl., 2024)

Evaluating the impact of filter-based feature selection in intrusion detection systems. - Houssam Zouhri; Ali Idri; Ahmed Ratnani (Int. J. Inf. Sec., 2024)

Optimized fuzzy clustering-based k-nearest neighbors imputation for mixed missing data in software development effort estimation. - Ibtissam Abnane; Ali Idri; Alain Abran (J. Softw. Evol. Process., 2024)

Homogenous Ensembles of Neuro-Fuzzy Classifiers using Hyperparameter Tuning for Medical Data. - Hafsaa Ouifak; Zaineb Afkhkhar; Alain Thierry Iliho Manzi; Ali Idri (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2024)

An Empirical Evaluation of Ensemble Strategies in Habitat Suitability Modeling. - Omar El Alaoui; Ali Idri (SN Comput. Sci., 2024)

New design strategies of deep heterogenous convolutional neural networks ensembles for breast cancer diagnosis. - Hasnae Zerouaoui; Omar El Alaoui; Ali Idri (Multim. Tools Appl., 2024)

On the value of instance selection for bug resolution prediction performance. - Chaymae Miloudi; Laila Cheikhi; Ali Idri; Alain Abran (J. Softw. Evol. Process., 2024)

A comprehensive investigation of multimodal deep learning fusion strategies for breast cancer classification. - Fatima Zahrae Nakach; Ali Idri; Evgin Göçeri (Artif. Intell. Rev., 2024)

Designing and Evaluating Heterogeneous Ensembles for Blood Glucose Level Forecasting. - Mamoune Benaida; Ibtissam Abnane; Ali Idri (ICCSA (2), 2025)

Uncharted dimensions, gaps, and future trends of serious games in software engineering. - Manal Kharbouch; Aurora Vizcaíno; José Alberto García-Berná; Félix García 001; Ambrosio Toval; Oscar Pedreira; Ali Idri; José Luis Fernández-Alemán (Comput. Stand. Interfaces, 2025)

Single and Ensemble Based Filters in Environmental Data. - Yousra Cherif; Ali Idri (Expert Syst. J. Knowl. Eng., 2025)

A novel CTGAN-ENN hybrid approach to enhance the performance and interpretability of machine learning black-box models in intrusion detection and IoT. - Houssam Zouhri; Ali Idri (Future Gener. Comput. Syst., 2025)

A comprehensive review of fuzzy logic based interpretability and explainability of machine learning techniques across domains. - Hafsaa Ouifak; Ali Idri (Neurocomputing, 2025)

A systematic literature review on Agile, Cloud, and DevOps integration: Challenges, benefits. - Fatiha El Aouni; Karima Moumane; Ali Idri; Mehdi Najib; Saeed Ullah Jan (Inf. Softw. Technol., 2025)

Assessing the impact of tuning parameter in instance selection based bug resolution classification. - Chaymae Miloudi; Laila Cheikhi; Ali Idri; Alain Abran (Inf. Softw. Technol., 2025)

Reviewing ensemble classification methods in breast cancer (DATASET). - Mohamed Hosni; Ibtissam Abnane; Ali Idri; Juan Manuel Carrillo de Gea; José Luis Fernández-Alemán (Zenodo, 2025)

Taking the pulse of a classroom with a gamified audience response system (DATASET). - Juan José López-Jiménez; José Luis Fernández-Alemán; Laura López-González; Ofelia González-Sequeros; Begoña Moros; José A. García-Berná; Ali Idri; Ambrosio Toval (Zenodo, 2025)

Deep learning based one step and multi-steps ahead forecasting blood glucose level. - Mamoune Benaida; Ibtissam Abnane; Ali Idri (Expert Syst. J. Knowl. Eng., 2025)

DHHoE: Deep hybrid homogenous ensemble for digital histological breast cancer classification. - Hasnae Zerouaoui; Ali Idri; Omar El Alaoui (Expert Syst. J. Knowl. Eng., 2025)

Neural Networks-Based Software Development Effort Estimation: A Systematic Literature Review. - Fatima Ezzahra Boujida; Fatima Azzahra Amazal; Ali Idri (J. Softw. Evol. Process., 2025)

Multimodal random subspace for breast cancer molecular subtypes prediction by integrating multi-dimensional data. - Fatima Zahrae Nakach; Ali Idri; Gbègninougbo Aurel Davy Tchokponhoue (Multim. Tools Appl., 2025)

New design strategies for IoT intrusion detection using boosting and feature selection. - Abderahmane Hamdouchi; Ali Idri (J. Supercomput., 2025)