Network science
Knowledge representation and reasoning
Machine learning
Data storytelling

 

 

2026

• Ocansey, Joshua Tetteh; Lamo, Yngve; Rutle, Adrian et al. (2026). Automated Model/Schema Interoperability with ML/AI Approaches: A Survey. (external link)

2025

• Fatemi, Bahareh; Rabbi, Fazle; Lamo, Yngve et al. (2025). A Framework for Comparative Analysis of News Content: A Model-Based Approach. (external link)

2024

• Rabbi, Fazle; Fatemi, Bahareh; Lamo, Yngve et al. (2024). A Model-Based Framework for News Content Analysis. (external link)
• Mosolygo, Balazs Jozsef; Fatemi, Bahareh; Rabbi, Fazle et al. (2024). Evaluating GraphRAG’s Role in Improving Contextual Understanding of News in Newsrooms. (external link)

2023

• Fatemi, Bahareh; Rabbi, Fazle; MacCaull, Wendy (2023). A validated learning approach to healthcare process analysis through contextual and temporal filtering. (external link)
• Fatemi, Bahareh; Rabbi, Fazle; Tessem, Bjørnar (2023). Fairness in automated data journalism systems. (external link)
• Fatemi, Bahareh; Rabbi, Fazle; Opdahl, Andreas Lothe (2023). Evaluating the Effectiveness of GPT Large Language Model for News Classification in the IPTC News Ontology. (external link)

2022

• Fatemi, Bahareh; Molaei, Soheila; Pan, Shirui et al. (2022). GCNFusion: An efficient graph convolutional network based model for information diffusion. (external link)
• Fatemi, Bahareh; Rosnes, Daniel; Tessem, Bjørnar et al. (2022). Towards an automated journalism framework for social data monitoring. (external link)

See a complete overview of publications in Cristin.

• Manifold approximation and projection by maximizing graph information

B Fatemi, S Molaei, H Zare, S Pan

Pacific-Asia Conference on Knowledge Discovery and Data Mining, 128-140

 

• Attributed graph clustering via deep adaptive graph maximization

B Fatemi, S Molaei, H Zare, H Veisi

2020 10th International Conference on Computer and Knowledge Engineering

 

• Analysis of patient pathways with contextual process mining

F Rabbi, B Fatemi, W MacCaull