Natural Language Processing systems are increasingly built as configurable pipelines combining heterogeneous components, including data sources, task specifications, linguistic preprocessing, representation methods, learning models, training settings, evaluation protocols, explainability requirements, and deployment co...
Kamal Walji, Allae Erraissi, Abdelali Zakrani et al.· International journal of adv...· 0 citations
Large language models have shown strong performance across many natural language tasks, but their size makes deployment difficult on hardware with limited memory and compute. Compression techniques aim to reduce this cost while preserving as much quality as possible. This study investigates structured pruning applied t...
Adnane Bakkou, Badr Hirchoua, M. Banane et al.· International journal of adv...· 0 citations
A multi-objective evaluation framework for selecting supervised classification algorithms in IoT-oriented connected systems and confirms that no single algorithm dominates all criteria and that model selection strongly depends on the target deployment scenario, whether in constrained IoT nodes, edge computing platforms...
M. Khaldi, Allae Erraissi, Mustapha Hain et al.· Journal of Communications· 0 citations
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