الرئيسية › دليل الباحثين › Ali Idri
Ali Idri
الانتماء : Mohammed V University · Université Mohammed VI Polytechnique
- 358منشورات (انتماء مغربي)
- 399مجموع المنشورات
- 8565الاستشهادات
- 40مؤشر h
الملف البحثي
لدى Ali Idri 358 منشور(ات) مفهرسة (2023–2026). تُنشر أعماله أساسًا في «Lecture notes in networks and systems»، «Lecture notes in computer science» و«Scientific African». أكثر مقالاته استشهادًا هو «Cost-sensitive learning for imbalanced medical data: a review» (2024)، وقد استُشهد به 225 مرة. 77 من هذه المنشورات تعود إلى آخر ثلاث سنوات من النشاط. شارك في تأليف أعماله 12 باحثًا على الأقل، منهم باحثون من مؤسسات في إسبانيا، كندا.
هل هذا أنت؟ عرّف بأبحاثك
أنشئ ملفك على DzCademia مجانًا وأضف مقالاتك: ستظهر بسهولة أكبر على Google وفي مساعدي الذكاء الاصطناعي مثل ChatGPT، فيقرؤها ويستشهد بها عدد أكبر من الناس.
إنشاء ملفي المجاني إضافة منشوراتيمجالات البحث
- Software Engineering Techniques and Practices
- Software Engineering Research
- Artificial Intelligence in Healthcare
- AI in cancer detection
- Software Reliability and Analysis Research
المنشورات (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
مجلات النشر
- 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
المنشورات حسب السنة
- 202617
- 202524
- 202436
- 202323
التعاون العلمي
المؤسسات الشريكة : Université Ibn Zohr · Ecole Mohammadia d'Ingénieurs · Université Moulay Ismail de Meknes · International University of Rabat · University of Hassan II Casablanca
بلدان المؤلفين المشاركين : إسبانيا · كندا
المؤلفون المشاركون
- 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
البيانات البيبليوغرافية مصدرها OpenAlex (قاعدة مفتوحة).
لماذا تختارون Dzcademia؟
ملفات أكاديمية ومقالات ومداخلات علمية: امنحوا أبحاثكم حضوراً عاماً منظماً. تساعد البيانات الوصفية المدمجة محركات البحث ومساعدات الذكاء الاصطناعي على التعرف على أعمالكم وفهم مراجعها.
علّق عبر Google
سجّل الدخول عبر Google للتعليق مباشرة على هذه الصفحة.