• Aicha Boubekeur, Fouzia Benchikha and Naila Marir. Sentiment Prediction for Social
Information Retrieval: A Comparative Study of Machine Learning and Deep Learning
Approaches. In the Proceedings of the International Conference on Emerging Intelligent
Systems for Sustainable Development (ICEIS), 2024.
• Aicha Boubekeur, Fouzia Benchikha and Naila Marir. Enhancing Film Discovery through Social
Media Traces Using Sentiment Analysis and Machine Learning Combined Approach. L&T 2024.
Jeddah, KSA. 2024.
• Özaltın Öznur, Abdulhamit Subasi, Naila Marir, Brahimi Tayeb and Sarirete, Akila. Risk
Detection of Breast Cancer from MRI Images Using Deep Feature Extraction and Fine-Tuning
NCA Feature Selection. 2024. Big Data. (Under Revision)
• Marir Naila, Wang Huiqiang, et al. Distributed Abnormal Behavior Detection System Based on
Deep Learning Techniques: A Spark Based Approach and a Comparative Evaluation. IEEE
Transactions on Network and Service Management. (Accepted with revision).
• Marir Naila and Wang Huiqiang. Next-Generation Abnormal Behavior Detection System Based
on Big Data Analytics and Deep Learning Techniques. Mathematical Modelling for Big Data
Analytics. Elsevier Edited Book. (Accepted)
• Bousba Sara, Marir Naila and Aibeche Aissa. A Non-iterative Sampling Technique to Inverse
Elastic Source Problems. In The National Conference on Mathematics and Applications, NCMA
2023, Setif, Algeria. 2023.
• Bousba Sara and Marir Naila. Inverse Problems in Emerging Technology. In: CEUR workshop
proceedings, The 12th Seminary of Computer Science Research at Feminine, RIF 2023,
Constantine, Algeria. 2023, 3616, 93-101
• Belbekri Adel, Bechikha Fouzia, Slimani Yahya and Marir Naila, SocialNER2.0: A
Comprehensive Dataset for Enhancing Named Entity Recognition in Short Human- Produced
Text [J]. Intelligent Data Analysis. 2024, 1-25. (IF=1.7, JCR1, 2023).
• Lakhdara Zakaria and Marir Naila. A Formal Modelling Language for Digital Electronic
Systems Design. In IEEE International Conference on Advanced Aspects of Software
Engineering, ICAASE 2022, Constantine, Algeria. 2022
• Marir Naila, Wang Huiqiang, et al. Unsupervised Feature Learning with Distributed Stacked
Denoising Sparse Autoencoder for Abnormal Behavior Detection using Apache Spark. In: IEEE
International Conference on Knowledge Innovation and Invention 2019, Seoul, Korea (South).
2019, 473-476.
• Marir Naila, Wang Huiqiang, et al. Distributed Abnormal Behavior Detection Approach based
on Deep Belief Network and Ensemble SVM using Spark. IEEE Access. 2018, 6: 59657- 59671.
(SCI, WOS:000450189700001) (IF=3.745, JCR1, 2019)
• Marir Naila, Wang Huiqiang. A Cooperative Abnormal Behavior Detection Framework Based
on Big Data Analytics[C]. ICPCSEE Communications in Computer and Information Science,
Springer, Singapore. 2017,192-206. (EI,20174004223023).
