Fraunhofer-Institut für Kognitive Systeme IKS| Jahr | Autor/Titel/Quelle | Dokumentart |
|---|---|---|
| 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 | Vortrag |
| 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 | Konferenzbeitrag |
| 2020 | Schabel, Louisa; Heller, Stephan (Erstprüfer); Seydel, Dominique (Zweitprüfer) :
Critical Success Factors of the Smart City Transformation Process and the Role of Technology in the Smart City Approach - A Case Study of Munich, Germany Mittweida, Hochschule, Bachelor Thesis, 2020 | Bachelor Thesis |
| 2020 | Bangalore Vageeshapanditharadhya, Nischal; Grimm, Christoph (Supervisor); Trapp, Mario (Supervisor); Saad, Ahmad (Supervisor); Schleiß, Philipp (Supervisor) :
Evaluating Perceptual Uncertainty for Safe Automated Driving Under Consideration of Contextual Awareness Kaiserslautern, TU, Master Thesis, 2020 | Master Thesis |
| 2020 | Liao, Yuan:
Introduction of Robot Operating System 2: ROS2: Blog-Beitrag auf https://etn-sas.eu, 23.03.2020 2020 | Elektronische Publikation |
| 2020 | Schwaiger, Adrian; Sinhamahapatra, Poulami; Gansloser, Jens; Roscher, Karsten:
Is Uncertainty Quantification in Deep Learning Sufficient for Out-of-Distribution Detection? (Workshop on Artificial Intelligence Safety (SafeAI 2020) <2021, Online>) In: Espinoza, H.: Workshop on Artificial Intelligence Safety, AISafety 2020. Proceedings. Online resource: Co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), Yokohama, Japan, January, 2021. Online im WWW, 2020. (CEUR Workshop Proceedings 2640), Paper 18, 8 pp. | Konferenzbeitrag |
| 2020 | Trapp, Mario:
Künstliche Intelligenz in sicherheitskritischen Anwendungen: Vortrag gehalten im Rahmen des Bitkom AI Research Network, Virtuelles Event, 29.05.2020 (Bitkom AI Research Network <2020, Online>) 2020 | Vortrag |
| 2020 | Torres-Figueroa, Luis; Schepker, Henning F.; Jiru, Josef:
QoS Evaluation and Prediction for C-V2X Communication in Commercially-Deployed LTE and Mobile Edge Networks (Vehicular Technology Conference (VTC Spring) <91, 2020, Antwerp>) In: Institute of Electrical and Electronics Engineers -IEEE-: IEEE 91st Vehicular Technology Conference, VTC2020-Spring. Proceedings: 25-28 May 2020, Antwerp, Belgium. Piscataway, NJ: IEEE, 2020, 7 pp. | Konferenzbeitrag |
| 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 | Konferenzbeitrag |
| 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 |
Diese Publikationsliste wurde aus der Publikationsdatenbank Fraunhofer-Publica erstellt.