KG-NSF: Knowledge Graph Completion with a Negative-Sample-Free Approach. - Adil Bahaj; Safae Lhazmir; Mounir Ghogho (CoRR, 2022)

Uncertain Knowledge Graph Embedding Using Auxiliary Information. - Adil Bahaj; Mounir Ghogho (IEEE Access, 2024)

AsthmaBot: Multi-modal, Multi-Lingual Retrieval Augmented Generation For Asthma Patient Support. - Adil Bahaj; Mounir Ghogho (CoRR, 2024)

JobEdKG: An uncertain knowledge graph-based approach for recommending online courses and predicting in-demand skills based on career choices. - Yousra Fettach; Adil Bahaj; Mounir Ghogho (Eng. Appl. Artif. Intell., 2024)

Negative-sample-free knowledge graph embedding. - Adil Bahaj; Mounir Ghogho (Data Min. Knowl. Discov., 2024)

Unveiling Breast Cancer Causes Through Knowledge Graph Analysis and BioBERT-Based Factuality Prediction. - Hasna El Haji; Nada Sbihi; Kaoutar El Handri; Adil Bahaj; Mohammed Elkasri; Amine Souadka; Mounir Ghogho (BIOSTEC (2): HEALTHINF, 2025)

A step towards quantifying, modelling and exploring uncertainty in biomedical knowledge graphs. - Adil Bahaj; Mounir Ghogho (Comput. Biol. Medicine, 2025)

Smart contract anomaly detection: The Contrastive Learning Paradigm. - Oumaima Fadi; Adil Bahaj; Karim Zkik; Abdellatif El Ghazi; Mounir Ghogho; Mohammed Boulmalf (Comput. Networks, 2025)

Beyond spatial neighbors: Utilizing multivariate transfer entropy for interpretable graph-based spatio-temporal forecasting. - Safaa Berkani; Adil Bahaj; Bassma Guermah; Mounir Ghogho (Eng. Appl. Artif. Intell., 2025)

USER-VLM 360: Personalized Vision Language Models with User-aware Tuning for Social Human-Robot Interactions. - Hamed Rahimi; Adil Bahaj; Mouad Abrini; Mahdi Khoramshahi; Mounir Ghogho; Mohamed Chetouani (CoRR, 2025)

Skill Demand Forecasting Using Temporal Knowledge Graph Embeddings. - Yousra Fettach; Adil Bahaj; Mounir Ghogho (CoRR, 2025)

Gauging Overprecision in LLMs: An Empirical Study. - Adil Bahaj; Hamed Rahimi; Mohamed Chetouani; Mounir Ghogho (CoRR, 2025)