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Data-Driven Models for the Spatio-Temporal Interpolation of Satellite-Derived SST Fields.

, , and . IEEE Trans. Computational Imaging, 3 (4): 647-657 (2017)

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Towards a Benchmark for Fact Checking with Knowledge Bases., and . WWW (Companion Volume), page 1595-1598. ACM, (2018)Data-Driven Models for the Spatio-Temporal Interpolation of Satellite-Derived SST Fields., , and . IEEE Trans. Computational Imaging, 3 (4): 647-657 (2017)From tabular data to knowledge graphs: A survey of semantic table interpretation tasks and methods., , , , , and . J. Web Semant., (April 2023)DAGOBAH: Table and Graph Contexts For Efficient Semantic Annotation Of Tabular Data., , , , , , and . SemTab@ISWC, volume 3103 of CEUR Workshop Proceedings, page 19-31. CEUR-WS.org, (2021)Des données tabulaires aux graphes de connaissances : état de l'art des méthodes d'interprétations sémantique de tables., , , and . IC, page 116-125. PFIA, (2023)Mining Expressive Rules in Knowledge Graphs., , , , and . ACM J. Data Inf. Qual., 12 (2): 8:1-8:27 (2020)Buckle: Evaluating Fact Checking Algorithms Built on Knowledge Bases., and . Proc. VLDB Endow., 12 (12): 1798-1801 (2019)Towards Generative Semantic Table Interpretation., , and . VLDB Workshops, volume 3462 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)DAGOBAH: Enhanced Scoring Algorithms for Scalable Annotations of Tabular Data., , , , , and . SemTab@ISWC, volume 2775 of CEUR Workshop Proceedings, page 27-39. CEUR-WS.org, (2020)From Heuristics to Language Models: A Journey Through the Universe of Semantic Table Interpretation with DAGOBAH., , , , and . SemTab@ISWC, volume 3320 of CEUR Workshop Proceedings, page 45-58. CEUR-WS.org, (2022)