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Magnetic Properties of Ferromagnetic Particles under Alternating Magnetic Fields: Focus on Particle Detection Sensor Applications.

, , , , , , and . Sensors, 18 (12): 4144 (2018)

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HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation., , , , , , , , and . ACL (1), page 1094-1110. Association for Computational Linguistics, (2022)Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries., , , , , , , , , and 2 other author(s). CoRR, (2023)GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network., , , , , , , , , and 2 other author(s). KDD, page 941-950. ACM, (2023)TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data., , , , , , , and . KDD, page 322-331. ACM, (2021)A Batching Method For Complex Emitters Based On Frequency Agility Pattern Mining., , , and . CBD, page 178-183. IEEE, (2022)HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion., , , , , , , , , and . ACL (1), page 8356-8372. Association for Computational Linguistics, (2023)Magnetic Properties of Ferromagnetic Particles under Alternating Magnetic Fields: Focus on Particle Detection Sensor Applications., , , , , , and . Sensors, 18 (12): 4144 (2018)TUTA: Tree-based Transformers for Generally Structured Table Pre-training., , , , , , and . KDD, page 1780-1790. ACM, (2021)A stacking methodology of machine learning for 3D geological modeling with geological-geophysical datasets, Laochang Sn camp, Gejiu (China)., , , , , , and . Comput. Geosci., (2021)FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining., , , , , , and . ACL (1), page 1150-1166. Association for Computational Linguistics, (2022)