Analyse de données transcriptomiques: Modélisation floue de profils d'expression différentielle et analyse fonctionnelle. - Sidahmed Benabderrahmane; Marie-Dominique Devignes; Malika Smaïl-Tabbone; Amedeo Napoli; Olivier Poch; Ngoc-Hoan Nguyen; Wolfgang Raffelsberger (INFORSID, 2009)

IntelliGO: a new vector-based semantic similarity measure including annotation origin. - Sidahmed Benabderrahmane; Malika Smaïl-Tabbone; Olivier Poch; Amedeo Napoli; Marie-Dominique Devignes (BMC Bioinform., 2010)

Ontology-based functional classification of genes: Evaluation with reference sets and overlap analysis. - Sidahmed Benabderrahmane; Marie-Dominique Devignes; Malika Smaïl-Tabbone; Amedeo Napoli; Olivier Poch (BIBM Workshops, 2011)

Use of Domain Knowledge for Dimension Reduction - Application to Mining of Drug Side Effects. - Emmanuel Bresso; Sidahmed Benabderrahmane; Malika Smaïl-Tabbone; Gino Marchetti; Arnaud Sinan Karaboga; Michel Souchet; Amedeo Napoli; Marie-Dominique Devignes (KDIR, 2011)

Prise en compte des connaissances du domaine dans l'analyse transcriptomique : Similarité sémantique, classification fonctionnelle et profils flous. Application au cancer colorectal. (Using domain knowledge in the transcriptome analysis: semantic similarity, functional classification and fuzzy profiles. Application to colorectal cancer). - Sidahmed Benabderrahmane (2011)

Prise en compte des connaissances du domaine dans l'analyse transcriptomique : Similarité sémantique, classification fonctionnelle et profils flous : application au cancer colorectal. (Using domain knowledge in the Transcriptomic analysis : Semantic similarity, functional classification and fuzzy profiles. Application to colorectal cancer). - Sidahmed Benabderrahmane (2011)

Ontology-based Gene Set Enrichment Analysis Using an Efficient Semantic Similarity Measure and Functional Clustering. - Sidahmed Benabderrahmane; Hayet Mekami (ICWIT, 2012)

Functional classification of genes using semantic distance and fuzzy clustering approach: evaluation with reference sets and overlap analysis. - Marie-Dominique Devignes; Sidahmed Benabderrahmane; Malika Smaïl-Tabbone; Amedeo Napoli; Olivier Poch (Int. J. Comput. Biol. Drug Des., 2012)

Biomedical Knowledge Extraction Using Fuzzy Differential Profiles and Semantic Ranking. - Sidahmed Benabderrahmane (AIME, 2013)

Enhancing Transcriptomic Data Mining with Semantic Ranking: Towards a new Functional Spectral Representation.. - Sidahmed Benabderrahmane (IWBBIO, 2013)

Temporal Constraints and Sub-Dimensional Clustering for Fast Similarity Search over Time Series Data. Application to Information Retrieval Tasks. - Sidahmed Benabderrahmane (ICSEng, 2014)

Evaluating distance measures and times series clustering for temporal patterns retrieval. - Sidahmed Benabderrahmane; Rene Quiniou; Thomas Guyet (IRI, 2014)

Formal Concept Analysis and Knowledge Integration for Highlighting Statistically Enriched Functions from Microarrays Data. - Sidahmed Benabderrahmane (IWBBIO, 2014)

Satellite Images Analysis with Symbolic Time Series: A Case Study of the Algerian Zone. - Dalila Attaf; Djamila Hamdadou; Sidahmed Benabderrahmane; Aicha Lafrid (CoRR, 2016)

SAX2FACE: Estimating Facial Poses with Peano-Hilbert Curves and SAX Symbolic Time Series. - Hayet Mekami; Sidahmed Benabderrahmane (ANT/SEIT, 2017)

When Deep Neural Networks Meet Job Offers Recommendation. - Sidahmed Benabderrahmane; Nedra Mellouli; Myriam Lamolle; Nada Mimouni (ICTAI, 2017)

Predicting the Users' Clickstreams Using Time Series Representation, Symbolic Sequences, and Deep Learning: Application on Job Offers Recommendation Tasks. - Sidahmed Benabderrahmane; Nedra Mellouli; Myriam Lamolle (IRI, 2017)

What Can the Big Data Eco-System and Data Analytics Do for E-Health? A Smooth Review Study. - Sidahmed Benabderrahmane (IWBBIO (1), 2017)

Smart4Job: A Big Data Framework for Intelligent Job Offers Broadcasting Using Time Series Forecasting and Semantic Classification. - Sidahmed Benabderrahmane; Nedra Mellouli; Myriam Lamolle; Patrick Paroubek (Big Data Res., 2017)

Combining boosting machine learning and swarm intelligence for real time object detection and tracking: towards new meta-heuristics boosting classifiers. - Sidahmed Benabderrahmane (Int. J. Intell. Robotics Appl., 2017)

Local Patterns and Big Time Series Data for Facial Poses Classification. - Hayet Mekami; Sidahmed Benabderrahmane; Abdennacer Bounoua; Abdelmalik Taleb-Ahmed (J. Comput., 2018)

On the predictive analysis of behavioral massive job data using embedded clustering and deep recurrent neural networks. - Sidahmed Benabderrahmane; Nedra Mellouli; Myriam Lamolle (Knowl. Based Syst., 2018)

Categorical anomaly detection in heterogeneous data using minimum description length clustering. - James Cheney; Xavier Gombau; Ghita Berrada; Sidahmed Benabderrahmane (CoRR, 2020)

A baseline for unsupervised advanced persistent threat detection in system-level provenance. - Ghita Berrada; James Cheney; Sidahmed Benabderrahmane; William Maxwell; Himan Mookherjee; Alec Theriault; Ryan Wright (Future Gener. Comput. Syst., 2020)

Leveraging deep learning with symbolic sequences for robust head poses estimation. - Hayet Mekami; Abdennacer Bounoua; Sidahmed Benabderrahmane (Pattern Anal. Appl., 2020)

A Rule Mining-based Advanced Persistent Threats Detection System. - Sidahmed Benabderrahmane; Ghita Berrada; James Cheney; Petko Valtchev (IJCAI, 2021)

Recognition of user-dependent and independent static hand gestures: Application to sign language. - Khadidja Sadeddine; Fatma-Zohra Chelali; Rachida Djeradi; Amar Djeradi; Sidahmed Benabderrahmane (J. Vis. Commun. Image Represent., 2021)

Perception, performance, and detectability of conversational artificial intelligence across 32 university courses. - Hazem Ibrahim; Fengyuan Liu; Rohail Asim; Balaraju Battu; Sidahmed Benabderrahmane; Bashar Alhafni; Wifag Adnan; Tuka Alhanai; Bedoor K. AlShebli; Riyadh Baghdadi; Jocelyn J. Bélanger; Elena Beretta; et al. (CoRR, 2023)

Interpretable Machine Learning Models for Predicting the Next Targets of Activist Funds. - Minwu Kim; Sidahmed Benabderrahmane; Talal Rahwan (CoRR, 2024)

Hack me if you can: Aggregating autoencoders for countering persistent access threats within highly imbalanced data. - Sidahmed Benabderrahmane; Ngoc Hoang; Petko Valtchev; James Cheney; Talal Rahwan (Future Gener. Comput. Syst., 2024)

APT-LLM: Embedding-Based Anomaly Detection of Cyber Advanced Persistent Threats Using Large Language Models. - Sidahmed Benabderrahmane; Petko Valtchev; James Cheney; Talal Rahwan (ISDFS, 2025)