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<title>Universitätsbibliographie</title>
<link href="http://hdl.handle.net/10900/11221" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/10900/11221</id>
<updated>2026-09-12T10:41:57Z</updated>
<dc:date>2026-09-12T10:41:57Z</dc:date>
<entry>
<title>LC–MS Data Processing Using OpenMS</title>
<link href="http://hdl.handle.net/10900/183237" rel="alternate"/>
<author>
<name>Walter, Axel</name>
</author>
<author>
<name>Kohlbacher, Oliver</name>
</author>
<id>http://hdl.handle.net/10900/183237</id>
<updated>2026-09-10T23:01:06Z</updated>
<published>2026-09-02T00:00:00Z</published>
<summary type="text">LC–MS Data Processing Using OpenMS
Walter, Axel; Kohlbacher, Oliver
</summary>
<dc:date>2026-09-02T00:00:00Z</dc:date>
</entry>
<entry>
<title>Beyond Object Selection: Markerless Gaze-based Robot Placement at Arbitrary Position</title>
<link href="http://hdl.handle.net/10900/183236" rel="alternate"/>
<author>
<name>Lai, Yuzhi</name>
</author>
<author>
<name>Shenghai Yuan</name>
</author>
<author>
<name>Li, Peizheng</name>
</author>
<author>
<name>Ran, Zhuoyu</name>
</author>
<author>
<name>Zell, Andreas</name>
</author>
<id>http://hdl.handle.net/10900/183236</id>
<updated>2026-09-10T23:01:15Z</updated>
<published>2026-08-31T00:00:00Z</published>
<summary type="text">Beyond Object Selection: Markerless Gaze-based Robot Placement at Arbitrary Position
Lai, Yuzhi; Shenghai Yuan; Li, Peizheng; Ran, Zhuoyu; Zell, Andreas
</summary>
<dc:date>2026-08-31T00:00:00Z</dc:date>
</entry>
<entry>
<title>Law of Large Numbers: Accuracy as Statistical Measure for AI Compliance and Competition</title>
<link href="http://hdl.handle.net/10900/183235" rel="alternate"/>
<author>
<name>Williamson, Robert C.</name>
</author>
<id>http://hdl.handle.net/10900/183235</id>
<updated>2026-09-10T23:01:16Z</updated>
<published>2026-08-31T00:00:00Z</published>
<summary type="text">Law of Large Numbers: Accuracy as Statistical Measure for AI Compliance and Competition
Williamson, Robert C.
</summary>
<dc:date>2026-08-31T00:00:00Z</dc:date>
</entry>
<entry>
<title>Privacy-Preserving Federated Learning and Analytics with FLAME</title>
<link href="http://hdl.handle.net/10900/183234" rel="alternate"/>
<author>
<name>Herr, Marius</name>
</author>
<author>
<name>Placzek, Peter</name>
</author>
<author>
<name>Hieber, David</name>
</author>
<author>
<name>Röhl, Alexander</name>
</author>
<author>
<name>Kohlbacher, Oliver</name>
</author>
<id>http://hdl.handle.net/10900/183234</id>
<updated>2026-09-10T23:01:09Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">Privacy-Preserving Federated Learning and Analytics with FLAME
Herr, Marius; Placzek, Peter; Hieber, David; Röhl, Alexander; Kohlbacher, Oliver
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
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