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Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark
| Title: | Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark | Authors: | Hansen, Lasse; Seedat, Nabeel; Van, der Schaar Mihaela; Petrovic, Andrija A   |
Issue Date: | 2023 | Publication: | ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023) | ISSN: | 1049-5258  Search Idenfier |
Type: | Conference Paper | WoS-ID: | 001228825102047 | URI: | https://enauka.gov.rs/handle/123456789/935202 | Project: | DeiC National HPC [2022-H2-10] Cystic Fibrosis Trust A.P. Moller Fonden til Laegevidenskabens Fremme Lundbeck Foundation [R344-2020-1073] Central Denmark Region Fund for Strengthening of Health Science [1-36-72-4-20] Danish Agency for Digitisation Investment Fund for New Technologies [2020-6720] |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | Mp. category will be shown later |
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