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	151	An empirical comparison of random forest-based and other learning-to-rank algorithms Enthalten in Pattern analysis and applications 28.10.2019: 1-23
	152	A hybrid classification model for prediction of academic performance of students: a big data application Enthalten in Evolutionary intelligence 24.10.2019: 1-14
	153	$$\beta$$ β -Hill climbing algorithm with probabilistic neural network for classification problems Enthalten in Journal of ambient intelligence and humanized computing 19.10.2019: 1-12
	154	Correction to: Interperforming in AI: question of ‘natural’ in machine learning and recurrent neural networks Enthalten in AI & society 18.10.2019: 1
	155	Multi-label optimal margin distribution machine Enthalten in Machine learning 10.10.2019: 1-20
	156	Big in Japan: Regularizing Networks for Solving Inverse Problems Enthalten in Journal of mathematical imaging and vision 3.10.2019: 1-11
	157	A work load prediction strategy for power optimization on cloud based data centre using deep machine learning Enthalten in Evolutionary intelligence 16.9.2019: 1-9
	158	Feature ranking for multi-target regression Enthalten in Machine learning 27.8.2019: 1-26
	159	Data Science – was ist das eigentlich?! Ng, Annalyn. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2018, 1. Auflage 2018
	160	[Numsense! Data Science for the layman] Data Science - was ist das eigentlich?! Ng, Annalyn. - Berlin, Germany : Springer, [2018]