The research carried out within the "Data Management" department revolves around the problems of modeling, access, analysis and synthesis of factual and textual data, raw or pre-processed.
For more information, consult the Data Management department presentation on the IRIT website.
Latest full text publications
-
Damien T Wojtowicz, Shaoyi Yin, Jorge Martinez-Gil, Franck Morvan, Abdelkader Hameurlain. Multi-Cloud Query Optimisation with Accurate and Efficient Quoting. IEEE International Conference on BigData (BigData 2022), Dec 2022, Osaka, Japan. pp.228-233, ⟨10.1109/BigData55660.2022.10020835⟩. ⟨hal-03841516⟩
-
-
-
-
-
Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman Jimenez, Olivier Teste. AutoXAI: A Framework to Automatically Select the Most Adapted XAI Solution. 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Oct 2022, Atlanta GA, United States. pp.315-324, ⟨10.1145/3511808.3557247⟩. ⟨hal-03854778⟩
-
Jesus Lovon, José G. Moreno, Romaric Besançon, Olivier Ferret, Lynda Tamine. Can we guide a multi-hop reasoning language model to incrementally learn at each single-hop?. 29th International Conference on Computational Linguistics (COLING 2022), Oct 2022, Gyeongju, South Korea. pp.1455-1466. ⟨hal-03885173⟩
-
-
Josiane Mothe, Faneva Ramiandrisoa, Md Zia Ullah. Comparison of machine learning models for early depression detection from users’ posts. Early Detection of Mental Health Disorders by Social Media Monitoring: The First Five Years of the eRisk Project, 1018, Springer International Publishing, pp.111-139, 2022, Studies in Computational Intelligence book series (SCI), 978-3-031-04430-4. ⟨10.1007/978-3-031-04431-1_5⟩. ⟨hal-03854902v2⟩
-