Accueil › Annuaire des chercheurs › Ali Idri
Ali Idri
Affiliation : Mohammed V University · Université Mohammed VI Polytechnique
- 358Publications (affiliation marocaine)
- 399Publications au total
- 8565Citations
- 40Indice h
Profil de recherche
Ali Idri compte 358 publications référencées (2023–2026). Ses travaux paraissent principalement dans « Lecture notes in networks and systems », « Lecture notes in computer science » et « Scientific African ». Son article le plus cité, « Cost-sensitive learning for imbalanced medical data: a review » (2024), a été cité 225 fois. 77 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs, notamment dans des établissements de Espagne, Canada.
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Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Software Engineering Techniques and Practices
- Software Engineering Research
- Artificial Intelligence in Healthcare
- AI in cancer detection
- Software Reliability and Analysis Research
Publications (358)
- Interpreting black-box machine learning based species distribution models
- A comprehensive empirical evaluation of Bayesian evidential deep learning for uncertainty quantification of image-based medical classification
- Beyond motor: a systematic review of multisensory integration deficits in Parkinson’s disease
- Accessibility in e-government portals: a systematic mapping study
- A Quality-Centric Mapping Study of Machine Learning Classification Techniques in Cardiology: Key Trends, Datasets, and Performance Improvements
- Investigating the Effectiveness of COSMIC Method for Sizing Chatbots' Requirements: A Comparative Analysis
- Evaluating ensemble-based filters and wrappers for biodiversity conservation
- An Automated Evaluation of LLM Generated Code Maintainability Based on Multi-Level Measures and Comparative Analysis
- Exploring selection strategies of heterogeneous ensembles to automatically classify sleep stages using physiological signals
- Enhancing the Trustworthiness of Deep Ensemble via Explainability in Medical Imaging
- Comparative Evaluation of Filter and Wrapper Feature Selection Methods in Species Distribution Modeling
- Evaluating and Comparing Optimized CNN and Transformer Architectures for EEG-Based Depression Detection
- Evaluating Bagging-Based Ensembles for Predicting Performance in Configurable Software Systems
- A Generative AI and Cost-Sensitive Learning Framework for Robust Intrusion Detection Against Adversarial Attacks
- RAG Automation of COSMIC Functional Size Measurement Using Large Language Models
- Reviewing the Use of AI-Driven Functional Size Measurement
- SimBAC‐NFS: Similarity‐Based Aggregation and Calibration of Neuro‐Fuzzy Systems
- A comprehensive review of fuzzy logic based interpretability and explainability of machine learning techniques across domains
- A novel CTGAN-ENN hybrid approach to enhance the performance and interpretability of machine learning black-box models in intrusion detection and IoT
- Feature selection and global interpretability of black-box classification for intrusion detection
- Empowering IoT security: deploying TinyML ensemble techniques for cyberattack detection
- Evaluating the performance of TinyML singular and ensemble techniques for intrusion detection in IoT networks
- Enhancing IoT security through boosting and feature reduction techniques for multiclass intrusion detection
- On the value of uncertainty quantification in deep learning based breast cancer molecular subtype classification
- PathoCoder : Rethinking the Flaws of Patch‐Based Learning for Multi‐Class Classification in Computational Pathology
- Single and Ensemble Based Filters in Environmental Data
- New design strategies for IoT intrusion detection using boosting and feature selection
- Impacts of base learners selection of heterogeneous ensemble for habitat suitability modeling
- Stacked ensembles for one-step and multi-step ahead BGL forecasting
- Designing and Evaluating Heterogeneous Ensembles for Blood Glucose Level Forecasting
- Generative adversarial networks-based software development effort estimation for small datasets
- New Recommendation E-Learning System Architecture Using the Collaborative Filtering for Cold-Start Problem
- Evaluation of Bagging Ensembles on Multimodal Data for Breast Cancer Diagnosis
- Feature Extraction and Dimensionality Reduction to Evaluate Decision Tree Ensembles for Diabetic Retinopathy Detection
- Dimensionality Reduction in Environmental Data
- An approach to design deep homogeneous ensembles for the monitoring and prediction of blood glucose level
- Enhancing medical classification with fuzzy logic-based missing data imputation technique
- Assessing the impact of tuning parameter in instance selection based bug resolution classification
- Reliable Cervical Cancer Screening Using Cytology Data Through a Histopathology Foundation Model
- Exploring Imputation Techniques on Single and Ensemble Medical Classification
- Evaluating Bagging Ensembles with DenseNet201 and Swin Transformer for Breast Cancer Detection: A Comparative Study on Ultrasound and Mammography Images
- Cost-sensitive learning for imbalanced medical data: a review
- A comprehensive investigation of multimodal deep learning fusion strategies for breast cancer classification
- Global and local interpretability techniques of supervised machine learning black box models for numerical medical data
- Exploring data mining and machine learning in gynecologic oncology
- A systematic literature review on Agile, Cloud, and DevOps integration: Challenges, benefits
- Multimodality Fusion Strategies in Eye Disease Diagnosis
- Assessing the effectiveness of dimensionality reduction on the interpretability of opaque machine learning-based attack detection systems
- New design strategies of deep heterogenous convolutional neural networks ensembles for breast cancer diagnosis
- Understanding aberrant driving intentions based on the Theory of Planned Behavior: Literature review and Meta-Analysis
- A Comparative Assessment of Wrappers and Filters for Detecting Cyber Intrusions
- Neural Networks‐Based Software Development Effort Estimation: A Systematic Literature Review
- ISO/IEC 25010-based Quality Evaluation of Three Mobile Applications for Reproductive Health Services in Morocco
- Uncharted dimensions, gaps, and future trends of serious games in software engineering
- Assessing the Effectiveness of Synthetic Data Generation for Multi-Class Cyber-Attacks Detection using Generative Adversarial Networks
- Factors associated with speeding behavior: Literature review and meta-analysis
- Comprehensive framework for developing mHealth-based behavior change interventions
- Homogenous Ensembles of Neuro-Fuzzy Classifiers using Hyperparameter Tuning for Medical Data
- Systematic Literature Review on Agile, Cloud, and Devops Integration: Challenges, Benefits
- An Empirical Evaluation of Ensemble Strategies in Habitat Suitability Modeling
- Multiclass Intrusion Detection in IoT Using Boosting and Feature Selection
- Factors associated with speeding behavior of Moroccan drivers: Study guided by the theory of planned behavior
- Comprehensive Evaluation of Federated Learning Configurations for Intrusion Detection in IoT Contexts
- On the differences between CNNs and vision transformers for COVID-19 diagnosis using CT and chest x-ray mono- and multimodality
- Multimodal random subspace for breast cancer molecular subtypes prediction by integrating multi-dimensional data
- A Novel Bagged Ensemble Approach for Accurate Histopathological Breast Cancer Classification Using Transfer Learning and Convolutional Neural Networks
- Functional size measurement of postnatal care apps: Morocco case study
- Optimizing Federated Learning for Intrusion Detection in IoT Networks
- A Comparative Study on the Impact of Categorical Encoding on Black Box Model Interpretability
- Machine Learning Classification in Cardiology: A Systematic Mapping Study
- Evaluating the Efficacy of Wrappers in Predicting Species Distribution
- Fusion of Real and Synthetic Subtracted Contrast-Enhanced Mammograms for Enhanced Tumor Detection
- On the value of instance selection for bug resolution prediction performance
- Reviewing Learning Software Engineering Through Serious Game Development
- Editorial
- Habitat Suitability Assessment of Three Passerine Birds Using Ensemble Learning with Diverse Models
- Insights into the Potential of Fuzzy Systems for Medical AI Interpretability
- Evaluating the impact of filter-based feature selection in intrusion detection systems
- On the performance and interpretability of Mamdani and Takagi-Sugeno-Kang based neuro-fuzzy systems for medical diagnosis
- Intelligent and Efficient IoT Through the Cooperation of TinyML and Edge Computing
- Eye diseases diagnosis using deep learning and multimodal medical eye imaging
- Geothermal flow in Northern Morocco: A machine learning approach
- Mobile applications for endometriosis management functionalities: Analysis and potential
- Predicting the potential distribution of wheatear birds using stacked generalization-based ensembles
- Evaluating ensemble imputation in software effort estimation
- Application of neuro-fuzzy ensembles across domains: A systematic review of the two last decades (2000–2022)
- Evaluating and comparing bagging and boosting of hybrid learning for breast cancer screening
- Machine learning based Breast Cancer screening: trends, challenges, and opportunities
- Deep Hybrid Bagging Ensembles for Classifying Histopathological Breast Cancer Images
- Deep learning based one step and multi‐steps ahead forecasting blood glucose level
- Optimized fuzzy clustering‐based k‐nearest neighbors imputation for mixed missing data in software development effort estimation
- Impact of Thresholds of Univariate Filters for Predicting Species Distribution
- DHHoE : Deep hybrid homogenous ensemble for digital histological breast cancer classification
- Binary classification of multi-magnification histopathological breast cancer images using late fusion and transfer learning
- Applied Deep Learning Architectures for Breast Cancer Screening Classification
- Integrating Autoencoder-Based Hybrid Models into Cervical Carcinoma Prediction from Liquid-Based Cytology
- Does Categorical Encoding Affect the Interpretability of a Multilayer Perceptron for Breast Cancer Classification?
- The Impact of Grid Search on Bug Resolution Prediction for Open-Source Software
- ISO/IEC 25010- based Quality evaluation of three mobile applications for reproductive health services in Morocco
- Quality In-Use of Mobile Geographic Information Systems for Data Collection
Revues de publication
- Lecture notes in networks and systems × 8
- Lecture notes in computer science × 6
- Scientific African × 6
- International Conference on Data Science, Technology and Applications (DATA) × 5
- Communications in computer and information science × 4
- Journal of Software Evolution and Process × 4
Publications par année
- 202617
- 202524
- 202436
- 202323
Collaborations
Établissements partenaires : Université Ibn Zohr · Ecole Mohammadia d'Ingénieurs · Université Moulay Ismail de Meknes · International University of Rabat · University of Hassan II Casablanca
Pays des co-auteurs : Espagne · Canada
Co-auteurs
- Ibtissam Abnane
- Ahmed Zellou
- Laila Cheikhi
- Mohamed Hosni
- Hasnae Zerouaoui
- Fatima Azzahra Amazal
- Sofía Ouhbi
- Abdoullah Fath-Allah
- Lamyae Sardi
- Taoufik Rachad
- Omar El Alaoui
- Hajar Hakkoum
Données bibliographiques issues d’OpenAlex (base ouverte).
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