3 papers
cs.CR2026
When Labels Are Scarce: A Systematic Mapping of Label-Efficient Code Vulnerability Detection
Noor Khalal, Chakib Fettal, Lazhar Labiod +1
Machine-learning-based code vulnerability detection (CVD) has progressed rapidly, from deep program representations to pretrained code models and LLM-centered pipelines. Yet depend…
stat.ML2025
Classification EM-PCA for clustering and embedding
Zineddine Tighidet, Lazhar Labiod, Mohamed Nadif
The mixture model is undoubtedly one of the greatest contributions to clustering. For continuous data, Gaussian models are often used and the Expectation-Maximization (EM) algorith…
cs.LG2019
Spectral Clustering via Ensemble Deep Autoencoder Learning (SC-EDAE)
Severine Affeldt, Lazhar Labiod, Mohamed Nadif
Recently, a number of works have studied clustering strategies that combine classical clustering algorithms and deep learning methods. These approaches follow either a sequential w…