|
10501 |
Machine learning with physicochemical relationships: solubility prediction in organic solvents and water
Enthalten in Nature Communications Bd. 11, 13.11.2020, Nr. 1, date:12.2020: 1-10
|
|
|
|
10502 |
Machine learning with sub-diffraction resolution in the photon-counting regime
Enthalten in Quantum machine intelligence Bd. 7, 25.2.2025, Nr. 1, date:6.2025: 1-12
|
|
|
|
10503 |
Machine learning with the TCGA-HNSC dataset: improving usability by addressing inconsistency, sparsity, and high-dimensionality
Enthalten in BMC bioinformatics Bd. 20, 17.6.2019, Nr. 1, date:12.2019: 1-9
|
|
|
|
10504 |
Machine learning workflow for edge computed arrhythmia detection in exploration class missions
Enthalten in npj microgravity Bd. 10, 22.6.2024, Nr. 1, date:12.2024: 1-13
|
|
|
|
10505 |
Machine Learning Workflow to Explain Black-Box Models for Early Alzheimer’s Disease Classification Evaluated for Multiple Datasets
Enthalten in SN Computer Science Bd. 3, 6.10.2022, Nr. 6, date:11.2022: 1-38
|
|
|
|
10506 |
‘Machine Learning’ multiclassification for stage diagnosis of Alzheimer’s disease utilizing augmented blood gene expression and feature fusion
Enthalten in Discover applied sciences Bd. 7, 12.6.2025, Nr. 6, date:6.2025: 1-28
|
|
|
|
10507 |
(Machine) learning to do more with less
Enthalten in Journal of high energy physics Bd. 2018, 6.2.2018, Nr. 2, date:2.2018: 1-28
|
|
|
|
10508 |
Macroscopic Traffic Modeling Using Probe Vehicle Data: A Machine Learning Approach
Enthalten in Data science for transportation Bd. 6, 6.8.2024, Nr. 3, date:12.2024: 1-16
|
|
|
|
10509 |
Macular patterns of neuronal and visual field loss in recovered optic neuritis identified by machine learning
Enthalten in Scientific reports Bd. 14, 28.12.2024, Nr. 1, date:12.2024: 1-12
|
|
|
|
10510 |
MaGIC: a machine learning tool set and web application for monoallelic gene inference from chromatin
Enthalten in BMC bioinformatics Bd. 20, 28.2.2019, Nr. 1, date:12.2019: 1-5
|
|
Administration
