The paper “Efficiently identifying disguised missing values in heterogeneous, text-rich data” by Théo Bouganim, Helena Galhardas, and Ioana Manolescu has been accepted in TLDKS Journal (LNCS, Special Issue on Data Management – Principles, Technologies, and Applications).
Main recent results
- Qi Fan defends her Ph.D.
- Information Systems: “Finding meaningful paths in heterogeneous graphs with PathWays”
- The Andreas Pfitzmann Best Student Paper Award in PETS’24
- Nelly Barret’s PhD defense
- EMNLP 2023: Evaluating the Factual Faithfulness of Graph-to-Text Generation
Latest News
- Lihu Chen: ”What is the role of small models in the LLM era”
- Davide Ceolin: “My Quest for Quality – Transparent Information Quality Assessment using Explainable AI Methods”
- Qi Fan defends her Ph.D.
- Information Systems: “Finding meaningful paths in heterogeneous graphs with PathWays”
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