|
26641 |
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis
Enthalten in Machine learning Bd. 112, 2.2.2023, Nr. 4, date:4.2023: 1389-1409
|
|
|
|
26642 |
SYNTHETIC DATA GENERATION AND TESTING FOR THE SEMANTIC SEGMENTATION OF HERITAGE BUILDINGS
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-M-2-2023, 2023: 1189-1196. 8 S.
|
|
|
|
26643 |
Synthetic data in machine learning for medicine and healthcare
Enthalten in Nature biomedical engineering Bd. 5, 15.6.2021, Nr. 6, date:6.2021: 493-497
|
|
|
|
26644 |
Synthetic seed production in Crataegus monogyna L. and prediction of regeneration of synthetic seeds with machine learning algorithms
Enthalten in Plant cell, tissue and organ culture Bd. 161, 8.4.2025, Nr. 1, date:4.2025: 1-13
|
|
|
|
26645 |
Synthetische Daten in der Biometrie
Enthalten in Datenschutz und Datensicherheit Bd. 47, 2.1.2023, Nr. 1, date:1.2023: 22-26
|
|
|
|
26646 |
SyntheVAEiser: augmenting traditional machine learning methods with VAE-based gene expression sample generation for improved cancer subtype predictions
Enthalten in Genome biology Bd. 25, 18.12.2024, Nr. 1, date:12.2024: 1-18
|
|
|
|
26647 |
Systematic evaluation of generative machine learning capability to simulate distributions of observables at the large hadron collider
Enthalten in The European physical journal / C / Particles and fields Bd. 84, 9.9.2024, Nr. 9, date:9.2024: 1-31
|
|
|
|
26648 |
Systematic evaluation of supervised machine learning for sample origin prediction using metagenomic sequencing data
Enthalten in Biology direct Bd. 15, 10.12.2020, Nr. 1, date:12.2020: 1-12
|
|
|
|
26649 |
Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making
Enthalten in BMC medical informatics and decision making Bd. 21, 15.2.2021, Nr. 1, date:12.2021: 1-19
|
|
|
|
26650 |
Systematic literature review of the performance characteristics of Chebyshev polynomials in machine learning applications for economic forecasting in low-income communities in sub-Saharan Africa
Enthalten in SN business & economics Bd. 2, 10.11.2022, Nr. 12, date:12.2022: 1-33
|
|
Administration
