Sidahmed Benabderrahmane

Orcid: 0000-0001-9633-810X

According to our database1, Sidahmed Benabderrahmane authored at least 43 papers between 2009 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
The Algorithmic Caricature: Auditing LLM-Generated Political Discourse Across Crisis Events.
CoRR, May, 2026

Real Talk, Virtual Faces: A Formal Concept Analysis of Personality and Sentiment in Influencer Audiences.
CoRR, March, 2026

RPG-AE: Neuro-Symbolic Graph Autoencoders with Rare Pattern Mining for Provenance-Based Anomaly Detection.
CoRR, February, 2026

Refining Decision Boundaries In Anomaly Detection Using Similarity Search Within the Feature Space.
CoRR, February, 2026

Neuro-Symbolic Graph Autoencoders with Rare Pattern Mining for Provenance-Based Anomaly Detection.
Proceedings of the 2026 14th International Symposium on Digital Forensics and Security (ISDFS), 2026

2025
Ranking-Enhanced Anomaly Detection Using Active Learning-Assisted Attention Adversarial Dual AutoEncoders.
CoRR, November, 2025

Adversarial Augmentation and Active Sampling for Robust Cyber Anomaly Detection.
CoRR, September, 2025

Attackers Strike Back? Not Anymore - An Ensemble of RL Defenders Awakens for APT Detection.
CoRR, August, 2025

Metric Matters: A Formal Evaluation of Similarity Measures in Active Learning for Cyber Threat Intelligence.
CoRR, August, 2025

From one attack domain to another: Contrastive transfer learning with siamese networks for APT detection.
Knowl. Based Syst., 2025

Metric Matters: A Formal Evaluation of Similarity Measures in Active Learning for Cyber Threat Intelligence.
Proceedings of the Similarity Search and Applications - 18th International Conference, 2025

APT-LLM: Embedding-Based Anomaly Detection of Cyber Advanced Persistent Threats Using Large Language Models.
Proceedings of the 13th International Symposium on Digital Forensics and Security, 2025

FLAGUS: Feedback-Driven Learning with GAN-Augmented Data for Enhanced Anomaly Detection via Uncertainty Sampling.
Proceedings of the Neural Information Processing - 32nd International Conference, 2025

Attackers Strike Back? Not Anymore - An Ensemble of RL Defenders Awakens for APT Detection.
Proceedings of the Discovery Science - 28th International Conference, 2025

2024
Hack me if you can: Aggregating autoencoders for countering persistent access threats within highly imbalanced data.
Future Gener. Comput. Syst., 2024

Interpretable Machine Learning Models for Predicting the Next Targets of Activist Funds.
CoRR, 2024

2023
Perception, performance, and detectability of conversational artificial intelligence across 32 university courses.
CoRR, 2023

2021
Recognition of user-dependent and independent static hand gestures: Application to sign language.
J. Vis. Commun. Image Represent., 2021

A Rule Mining-based Advanced Persistent Threats Detection System.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Leveraging deep learning with symbolic sequences for robust head poses estimation.
Pattern Anal. Appl., 2020

A baseline for unsupervised advanced persistent threat detection in system-level provenance.
Future Gener. Comput. Syst., 2020

Categorical anomaly detection in heterogeneous data using minimum description length clustering.
CoRR, 2020

2018
On the predictive analysis of behavioral massive job data using embedded clustering and deep recurrent neural networks.
Knowl. Based Syst., 2018

Local Patterns and Big Time Series Data for Facial Poses Classification.
J. Comput., 2018

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

Smart4Job: A Big Data Framework for Intelligent Job Offers Broadcasting Using Time Series Forecasting and Semantic Classification.
Big Data Res., 2017

What Can the Big Data Eco-System and Data Analytics Do for E-Health? A Smooth Review Study.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

Predicting the Users' Clickstreams Using Time Series Representation, Symbolic Sequences, and Deep Learning: Application on Job Offers Recommendation Tasks.
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

When Deep Neural Networks Meet Job Offers Recommendation.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

SAX2FACE: Estimating Facial Poses with Peano-Hilbert Curves and SAX Symbolic Time Series.
Proceedings of the 8th International Conference on Ambient Systems, 2017

2016
Satellite Images Analysis with Symbolic Time Series: A Case Study of the Algerian Zone.
CoRR, 2016

2014
Formal Concept Analysis and Knowledge Integration for Highlighting Statistically Enriched Functions from Microarrays Data.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Evaluating distance measures and times series clustering for temporal patterns retrieval.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014

Temporal Constraints and Sub-Dimensional Clustering for Fast Similarity Search over Time Series Data. Application to Information Retrieval Tasks.
Proceedings of the Progress in Systems Engineering, 2014

2013
Enhancing Transcriptomic Data Mining with Semantic Ranking: Towards a new Functional Spectral Representation..
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Biomedical Knowledge Extraction Using Fuzzy Differential Profiles and Semantic Ranking.
Proceedings of the Artificial Intelligence in Medicine, 2013

2012
Functional classification of genes using semantic distance and fuzzy clustering approach: evaluation with reference sets and overlap analysis.
Int. J. Comput. Biol. Drug Des., 2012

Ontology-based Gene Set Enrichment Analysis Using an Efficient Semantic Similarity Measure and Functional Clustering.
Proceedings of the 4th International conference on Web and Information Technologies, 2012

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).
PhD thesis, 2011

Use of Domain Knowledge for Dimension Reduction - Application to Mining of Drug Side Effects.
Proceedings of the KDIR 2011, 2011

Ontology-based functional classification of genes: Evaluation with reference sets and overlap analysis.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010
IntelliGO: a new vector-based semantic similarity measure including annotation origin.
BMC Bioinform., 2010

2009
Analyse de données transcriptomiques: Modélisation floue de profils d'expression différentielle et analyse fonctionnelle.
Proceedings of the Actes du XXVIIème Congrès INFORSID, Toulouse, France, 26-29 mai 2009, 2009


  Loading...