Naila Marir

According to our database, Naila Marir authored at least 12 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Personalized Learning Through MBTI Prediction: A Deep Learning Approach Integrated With Learner Profile Ontology.

Samia Bousalem, Fouzia Benchikha, Naila Marir

IEEE Access, 2025

Ontology-Driven Dynamic Learner Profiling: Towards Fluid Learning.

Samia Bousalem, Massinissa Chelghoum, Naila Marir, Fouzia Benchikha

Proceedings of the 2025 International Conference on Research in Computing at Feminine (RIF), 2025

Semantic-Driven Multimodal Learning Framework for Non Hodgkin's Lymphoma Diagnosis Stratification.

Passent Elkafrawy, Naila Marir, Mie Ali Mohamed, Nermin Soliman, Suzy Abdelmabood, Asmaa Sherif, Ahmed M. ELMougi, Hasan A. Abdel Ghaffar

Proceedings of the Model and Data Engineering - 14th International Conference, 2025

Towards an Explainable Framework for Personalized Treatment Recommendations.

Mohamed Ouassim Labraoui, Zakaria Benzadri, Naila Marir

Proceedings of the 22nd IEEE/ACS International Conference on Computer Systems and Applications, 2025

2024

Exploring Automated Text Summarization in Clinical Approaches Trials: Towards Explainable AI Solution.

Zakaria Benzadri, Maroua Benhamlaoui, Naila Marir

Proceedings of the 4th Tunisian-Algerian Joint Conference on Applied Computing (TACC 2024), 2024

Machine Learning-Driven Distributed Intrusion Detection System for the Internet of Vehicles.

Joud AlFarra, Leena Alam, Naila Marir, Akila Sarirete

Proceedings of the 13th International Conference on Research in Computing at Feminine (RIF 2024) LIRE Laboratory, Constantine 2 University, 2024

Multi-aggregation Strategies in Ensemble-Based Machine Learning and Deep Learning Models for Cough-Based COVID-19 Detection.

Takieddine Lombarkia, Farid Marir, Naila Marir

Proceedings of the Research in Computer Science, 2024

2023

Inverse Problems in Emerging Technology.

Sara Bousba, Naila Marir

Proceedings of The 12th Seminary of Computer Science Research at Feminine (RIF 2023) LIRE Laboratory, 2023

2022

A Formal Modelling Language for Digital Electronic Systems Design.

Zakaria Lakhdara, Naila Marir

Proceedings of the International Conference on Advanced Aspects of Software Engineering, 2022

2019

Unsupervised Feature Learning With Distributed Stacked Denoising Sparse Autoencoder for Abnormal Behavior Detection Using Apache Spark.

Naila Marir, Huiqiang Wang, Guangsheng Feng

Proceedings of the IEEE 2nd International Conference on Knowledge Innovation and Invention, 2019

2018

Distributed Abnormal Behavior Detection Approach Based on Deep Belief Network and Ensemble SVM Using Spark.

Naila Marir, Huiqiang Wang, Guangsheng Feng, Bingyang Li, Meijuan Jia

IEEE Access, 2018

2017

A Cooperative Abnormal Behavior Detection Framework Based on Big Data Analytics.

Naila Marir, Huiqiang Wang

Proceedings of the Data Science, 2017