Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2021Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Houben, Sebastian; Abrecht, Stephanie; Akila, Maram; Bär, Andreas; Brockherde, Felix; Feifel, Patrick; Fingscheidt, Tim; Gannamaneni, Sujan Sai; Ghobadi, Seyed Eghbal; Hammam, Ahmed; Haselhoff, Anselm; Hauser, Felix; Heinzemann, Christian; Hoffmann, Marco; Kapoor, Nikhil; Kappel, Falk; Klingner, Marvin; Kronenberger, Jan; Küppers, Fabian; Löhdefink, Jonas; Mlynarski, Michael; Mock, Michael; Mualla, Firas; Pavlitskaya, Svetlana; Poretschkin, Maximilian; Pohl, Alexander; Ravi-Kumar, Varun; Rosenzweig, Julia; Rottmann, Matthias; Rüping, Stefan; Sämann, Timo; Schneider, Jan David; Schulz, Elena; Schwalbe, Gesina; Sicking, Joachim; Srivastava, Toshika; Varghese, Serin; Weber, Michael; Wirkert, Sebastian; Wirtz, Tim; Woehrle, Matthias
Preprint
2021Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities
Rosenzweig, Julia; Sicking, Joachim; Houben, Sebastian; Mock, Michael; Akila, Maram
Konferenzbeitrag
2020Deutsche Normungsroadmap Künstliche Intelligenz
Adler, R.; Kolomiichuk, Sergii; Hecker, Dirk; Lämmel, Philipp; Ma, Jackie; Marko, Angelina; Mock, Michael; Nagel, Tobias; Poretschkin, Maximilian; Rennoch, Axel; Röhler, Marcus; Ruf, Miriam; Schönhof, Raoul; Schneider, Martin A.; Tcholtchev, Nikolay; Ziehn, Jens; Böttinger, Konstantin; Jedlitschka, Andreas; Oala, Luis; Sperl, Philip; Wenzel, Markus; et. al.
: Wahlster, W.; Winterhalter, C.
Studie
2019Noise Reduction in Distant Supervision for Relation Extraction Using Probabilistic Soft Logic
Kirsch, Birgit; Niyazova, Zamira; Mock, Michael; Rüping, Stefan
Konferenzbeitrag
2019Noise Reduction in Distant Supervision using Probabilistic Soft Logic
Niyazova, Zamira
: Mock, Michael; Wrobel, Stefan
Master Thesis
2018A distributed online learning approach for pattern prediction over movement event streams with apache flink
Qadah, Ehab; Mock, Michael; Alevizos, Elias; Fuchs, Georg
Konferenzbeitrag
2018Distributed online learning for large-scale pattern prediction over real-time event streams
Qadah, Ehab
: Mock, Michael; Wrobel, Stefan
Master Thesis
2018Edge Computing aus Sicht der Künstlichen Intelligenz
Hecker, Dirk; Mock, Michael; Sicking, Joachim; Voß, Angelika; Wirtz, Tim
Zeitschriftenaufsatz
2015Detecting Mobility Patterns with Stationary Bluetooth Sensors: A real-world Case Study
Müller, Marc; Schulz, Daniel; Mock, Michael; Hecker, Dirk
Konferenzbeitrag
2014Skalierbarkeit und Architektur von Big-Data-Anwendungen
Mock, Michael; Sylla, Karl-Heinz; Hecker, Dirk
Zeitschriftenaufsatz
2013Large-scale online mobility monitoring with exponential histograms
Kopp, Christine; Mock, Michael; Papapetrou, Odysseas; May, Michael
Konferenzbeitrag
2012Efficient mobility pattern stream matching on mobile devices
Florescu, Simona-Claudia; Mock, Michael; Körner, Christine; May, Michael
Konferenzbeitrag
2012Privacy-preserving distributed monitoring of visit quantities
Kopp, Christine; Mock, Michael; May, Michael
Konferenzbeitrag
2011Towards automatic behavior analysis of learners in a technology-enhanced learning environment
Khayat, Noury; Mock, Michael; Kindermann, Jörg
Konferenzbeitrag
2010Data-mining-based link failure detection for wireless mesh networks
Lindhorst, Timo; Lukas, Georg; Nett, Edgar; Mock, Michael
Konferenzbeitrag