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Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark., , , и . CoRR, (2023)MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts.. CoRR, (2020)Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data., , , и . NeurIPS, (2022)Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes., , , и . CoRR, (2023)Differentiable and Transportable Structure Learning., , , и . CoRR, (2022)DAUX: a Density-based Approach for Uncertainty eXplanations., , , , и . CoRR, (2022)Automated machine vision enabled detection of movement disorders from hand drawn spirals., , и . ICHI, стр. 1-5. IEEE, (2020)TRIAGE: Characterizing and auditing training data for improved regression., , , и . CoRR, (2023)Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data., , , и . CoRR, (2023)Data-SUITE: Data-centric identification of in-distribution incongruous examples., , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 19467-19496. PMLR, (2022)