Network science
Knowledge representation and reasoning
Machine learning
Data storytelling

 

 

2023

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

2024

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

2026

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

2022

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

2025

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