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…
cs.LG2026
Scalable Multi-view Clustering via Explicit Kernel Features Maps
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
The proliferation of high-dimensional data from sources such as social media, sensor networks, and online platforms has created new challenges for clustering algorithms. Multi-view…
cs.LG2024
Graph Cuts with Arbitrary Size Constraints Through Optimal Transport
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
A common way of partitioning graphs is through minimum cuts. One drawback of classical minimum cut methods is that they tend to produce small groups, which is why more balanced var…