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Die Lesesäle für Geisteswissenschaften, Naturwissenschaften, der Alte Lesesaal Technik und der Anne-Frank-Shoah-Lesesaal in Leipzig schließen am 04.02.2026 wegen einer Veranstaltung bereits um 15 Uhr. Die weiteren Lesesäle sowie die Servicetheke sind zu den regulären Zeiten geöffnet. //
The humanities reading room, the natural science reading room, the old technology reading room and the reading room of the Anne-Frank-Shoah-Library will close at 15:00 on 4 February 2026 due to an event. The other reading rooms and the service desk will be open during regular hours.

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	131	Predicting wildfire burned area in South Central US using integrated machine learning techniques Enthalten in Atmospheric chemistry and physics / Discussions 2019: 1-25
	132	InDel marker detection by integration of multiple softwares using machine learning techniques Enthalten in BMC bioinformatics 2.11.2016: 1-11
	133	Phase segmentation of X-ray computer tomography rock images using machine learning techniques: an accuracy and performance study Enthalten in Solid earth Bd. 7, 2016, Nr. 4: 1125-1139
	134	Predicting firefighters' exertion based on machine learning techniques Enthalten in Baua: Fokus 2016: 1-13
	135	Mining Scientific Articles Powered by Machine Learning Techniques Gulo, Carlos A. S. J.. - Wadern : Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2015
	136	Assessment of machine-learning techniques on large pathology data sets to address assay redundancy in routine liver function test profiles Enthalten in Diagnosis Bd. 2, 2015, Nr. 1: 41-51. 11 S.
	137	Applying Machine Learning Techniques to ASP Solving Maratea, Marco. - Wadern : Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2012
	138	Machine learning techniques applied to prediction of residual strength of clay Enthalten in Open Geosciences Bd. 3, 2011, Nr. 4: 449-461. 13 S.
	139	Mining Protein Databases using Machine Learning Techniques Enthalten in Journal of integrative bioinformatics Bd. 5, 2008, Nr. 2: 234-246. 13 S.
	140	A comparative study of logistic regression based machine learning techniques for prediction of early virological suppression in antiretroviral initiating HIV patients Enthalten in BMC medical informatics and decision making Bd. 18, 4.9.2018, Nr. 1, date:12.2018: 1-10

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