Fraunhofer Institute for Cognitive Systems IKS| Year | Author/Title/Source | Document Type |
|---|---|---|
| 2020 | Schwaiger, Adrian:
Absicherung von Machine-Learning-Verfahren in sicherheitskritischen Systemen: Vortrag gehalten auf dem Forum Künstliche Intelligenz, Stuttgart, 14.05.2020 (Forum Künstliche Intelligenz (KI) <3, 2020, Stuttgart>) 2020 | Presentation |
| 2020 | Kirschner, Anja; Krahmer, Felix (Supervisor); Fuchs, Tim (Advisor); Jiru, Josef (External Advisor) :
Adaptive Data Aggregation for Car2X - Communication, Transmission Models and Self Learning Systems München, TU, Master Thesis, 2020 | Master Thesis |
| 2020 | Henne, Maximilian; Schwaiger, Adrian; Roscher, Karsten; Weiß, Gereon:
Benchmarking Uncertainty Estimation Methods for Deep Learning with Safety-Related Metrics (Workshop on Artificial Intelligence Safety (SafeAI) <2020, New York/NY>) In: Espinoza, H.: Workshop on Artificial Intelligence Safety, SafeAI 2020. Proceedings. Online resource: Co-located with 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, Feb 7, 2020. New York/N.Y., 2020. (CEUR Workshop Proceedings 2560), pp. 83-90 | Conference Paper |
| 2020 | Liao, Yuan:
Introduction of Robot Operating System 2: ROS2: Blog-Beitrag auf https://etn-sas.eu, 23.03.2020 2020 | Electronic Publication |
| 2020 | Lefèvre, Gert; Martin, Philipp; Steffens, Petra; Wolf, Johannes:
Responsible Governance - ein Metamodell zur Gestaltung von Steuerungsmechanismen für die digitale Transformation von dezentralen öffentlichen Organisationen (Internationales Rechtsinformatik Symposion (IRIS) <23, 2020, Wien>) In: Schweighofer, Erich (Ed.): Verantwortungsbewusste Digitalisierung. Responsible Digitalization: Tagungsband des 23. Internationalen Rechtsinformatik Symposions IRIS 2020. Proceedings of the 23rd International Legal Informatics Symposium. Colloquium, 28. Februar 2020, Wien. Vachendorf: Nova MD, 2020, pp. 327-336 | Conference Paper |
| 2020 | Felgentreff, Jens; Ankerst, Donna (Aufgabensteller); Schwaiger, Adrian (Betreuer) :
Sampling Based Methods for Uncertainty Quantification in Neural Networks München, TU, Bachelor Thesis, 2020 | Bachelor Thesis |
This publication list has been generated from the publication database Fraunhofer-Publica.