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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
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Guillaume Cabanac. Decontamination of the scientific literature with the Problematic Paper Screener: Flagging suspect/erroneous/fraudulent papers to crowdsource post-publication reassessments. Doctoral. Knowledge Graphs and Semantic Computing Speaker Series, School of Information Science, University of illinois, United States. 2023. ⟨hal-04267976⟩
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Elodie Escriva, Julien Aligon, Jean-Baptiste Excoffier, Paul Monsarrat, Chantal Soulé-Dupuy. How to make the most of local explanations: effective clustering based on influences. 27th European Conference Advances in Databases and Information Systems (ADBIS 2023), Sep 2023, Barcelone, Spain. pp.146-160, ⟨10.1007/978-3-031-42914-9_11⟩. ⟨hal-04189455⟩
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Elodie Escriva, Emmanuel Doumard, Jean-Baptiste Excoffier, Julien Aligon, Paul Monsarrat, et al.. Data Exploration Based on Local Attribution Explanation: A Medical Use Case. 27th European Conference Advances in Databases and Information Systems (ADBIS 2023), Sep 2023, Barcelone, Spain. pp.315-323, ⟨10.1007/978-3-031-42941-5_27⟩. ⟨hal-04239173⟩
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