البحوث المنشورة

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• ​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).