PEIKOS GEORGIOS

Milanese, G., Peikos, G., Pasi, G., Viviani, M. (2025). Fact-Driven Health Information Retrieval: Integrating LLMs and Knowledge Graphs to Combat Misinformation. In Advances in Information Retrieval. ECIR 2025 (pp.192-200) [10.1007/978-3-031-88714-7_17]. Detail

(2024). Decision-Theoretic Models for Information Retrieval. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2024). Detail

Sokli, E., Kasela, P., Peikos, G., Pasi, G. (2024). Investigating Mixture of Experts in Dense Retrieval [Altro]. Detail

Peikos, G., Pasi, G. (2024). A systematic review of multidimensional relevance estimation in information retrieval. WILEY INTERDISCIPLINARY REVIEWS. DATA MINING AND KNOWLEDGE DISCOVERY, 14(5 (September/October 2024)) [10.1002/widm.1541]. Detail

Kusa, W., Peikos, G., Staudinger, M., Lipani, A., Hanbury, A. (2024). Normalised Precision at Fixed Recall for Evaluating TAR. In ICTIR 2024 - Proceedings of the 2024 ACM SIGIR International Conference on the Theory of Information Retrieval (pp.43-49). Association for Computing Machinery, Inc [10.1145/3664190.3672532]. Detail