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Balancing Familiarity and Curiosity in Data Exploration with Deep Reinforcement Learning.

, , , , and . aiDM@SIGMOD, page 16-23. ACM, (2021)

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Collaborative segmentation and classification for remote sensing image analysis., , and . ICPR, page 829-834. IEEE, (2016)Tracing Data Pollution in Large Business Applications.. ICIQ, page 356-366. MIT, (2008)Modèle décisionnel basé sur la qualité des données pour sélectionner les règles d'associations légitimement intéressantes.. EGC, volume RNTI-E-6 of Revue des Nouvelles Technologies de l'Information, page 593-598. Cépaduès-Éditions, (2006)Multimedia indexing and retrieval with features association rules mining., , and . ICME, page 1299-1302. IEEE Computer Society, (2004)M2-Mixer: A Multimodal Mixer with Multi-head Loss for Classification from Multimodal Data., , , and . IEEE Big Data, page 1052-1058. IEEE, (2023)A Collaborative Framework for Joint Segmentation and Classification of Remote Sensing Images., , and . EGC (best of volume), volume 732 of Studies in Computational Intelligence, page 127-145. Springer, (2016)Comparing Spatial and Spatio-Temporal Paradigms to Estimate The Evolution of Socio-Economical Indicators from Satellite Images., , , and . IGARSS, page 5790-5793. IEEE, (2023)LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data., , , and . CoRR, (2024)Optimizing Progressive Query-By-Example over Pre-Clustered Large Image Databases., , and . BDA, (2005)Enriching Multimedia Content Description for Broadcast Environments: From a Unified Metadata Model to a New Generation of Authoring Tool., , and . ISM, page 87-94. IEEE Computer Society, (2005)