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Ergebnis der Suche nach: "Machine Learning"
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34031 - 34040 von 41040

	34031	Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients Enthalten in Japanese journal of ophthalmology Bd. 64, 17.12.2019, Nr. 1, date:1.2020: 68-76
	34032	Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists Enthalten in European radiology Bd. 29, 11.6.2019, Nr. 9, date:9.2019: 4754-4764
	34033	Machine learning classifiers provide insight into the relationship between microbial communities and bacterial vaginosis Enthalten in BioData Mining Bd. 8, 12.8.2015, Nr. 1, date:6.2015: 1-9
	34034	Machine Learning Clifford Invariants of ADE Coxeter Elements Enthalten in Advances in applied Clifford algebras Bd. 34, 4.5.2024, Nr. 3, date:7.2024: 1-44
	34035	Machine learning climbs the Jacob’s Ladder of optoelectronic properties Enthalten in Nature Communications Bd. 16, 31.8.2025, Nr. 1, date:12.2025: 1-10
	34036	Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy Enthalten in BMC medical informatics and decision making Bd. 23, 9.10.2023, Nr. 1, date:12.2023: 1-14
	34037	MACHINE LEARNING CLUSTERING FOR POINT CLOUDS OPTIMISATION VIA FEATURE ANALYSIS IN CULTURAL HERITAGE Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVI-2/W1-2022, 2022: 245-251. 7 S.
	34038	Machine learning coarse grained models for water Enthalten in Nature Communications Bd. 10, 22.1.2019, Nr. 1, date:12.2019: 1-14
	34039	Machine learning coarse-grained potentials of protein thermodynamics Enthalten in Nature Communications Bd. 14, 15.9.2023, Nr. 1, date:12.2023: 1-13
	34040	Machine learning combined with CT-based radiomics predicts the prognosis of oesophageal squamous cell carcinoma Enthalten in Insights into imaging Bd. 16, 1.10.2025, Nr. 1, date:12.2025: 1-15