Réseaux Bayésiens de Niveau Deux et D-Séparation. - Linda Smail; Jean-Pierre Raoult (EGC (Ateliers), 2005)

Successive Restrictions Algorithm in Bayesian Networks. - Linda Smail; Jean-Pierre Raoult (IDA, 2005)

Exact and approximate inference in ProBT. - Kamel Mekhnacha; Juan Manuel Ahuactzin; Pierre Bessière; Emmanuel Mazer; Linda Smail (Rev. d'Intelligence Artif., 2007)

D-Separation and computation of probability distributions in Bayesian networks. - Linda Smail (Artif. Intell. Rev., 2009)

Uniqueness of the Level Two Bayesian Network Representing a Probability Distribution. - Linda Smail (Int. J. Math. Math. Sci., 2011)

Forecasting with Deep Learning: S&P 500 index. - Firuz Kamalov; Linda Smail; Ikhlaas Gurrib (ISCID, 2020)

Bitcoin Price Forecasting: Linear Discriminant Analysis with Sentiment Evaluation. - Ikhlaas Gurrib; Firuz Kamalov; Linda Smail (ArabWIC, 2021)

Stock price forecast with deep learning. - Firuz Kamalov; Linda Smail; Ikhlaas Gurrib (CoRR, 2021)

Evolution of AI in Education: Agentic Workflows. - Firuz Kamalov; David Santandreu Calonge; Linda Smail; Dilshod Azizov; Dimple R. Thadani; Theresa Kwong; Amara Atif (CoRR, 2025)

Can Large Language Models Bridge the Gap in Environmental Knowledge? - Linda Smail; David Santandreu Calonge; Firuz Kamalov; Nur H. Orak (CoRR, 2025)

Optimizing Retrieval-Augmented Generation (RAG) for Colloquial Cantonese: A LoRA-Based Systematic Review. - David Santandreu Calonge; Linda Smail (CoRR, 2025)