E-LIB Suche - Ergebnisse für: Gauerhof, Lydia

1

Essential properties for safe behaviour of a perception fun..:

Gauerhof, Lydia , 2023

Link: https://nbn-resolving.de..

2

Automating Safety Argument Change Impact Analysis for Machi..:

, In: 2022 IEEE 27th Pacific Rim International Symposium on Dependable Computing (PRDC),

Carlan, Carmen ; Gauerhof, Lydia ; Gallina, Barbara. - p. 43-53 , 2022

Link: https://doi.org/10.1109/..

3

Testing Deep Learning-based Visual Perception for Automated..:

Abrecht, Stephanie ; Gauerhof, Lydia ; Gladisch, Christoph...
ACM Transactions on Cyber-Physical Systems (TCPS). 5 (2021) 4 - p. 1-28 , 2021

Link: https://dl.acm.org/doi/1..

4

On the Necessity of Explicit Artifact Links in Safety Assur..:

, In: 2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW),

Gauerhof, Lydia ; Gansch, Roman ; Heinzemann, Christian.. - p. 23-28 , 2021

Link: https://doi.org/10.1109/..

5

Testing Deep Learning-based Visual Perception for Automated..:

Abrecht, Stephanie ; Gauerhof, Lydia ; Gladisch, Christoph...
ACM Transactions on Cyber-Physical Systems. 5 (2021) 4 - p. 1-28 , 2021

Link: https://doi.org/10.1145/..

6

Structuring the Safety Argumentation for Deep Neural Networ..:

, In: Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops; Lecture Notes in Computer Science,

Schwalbe, Gesina ; Knie, Bernhard ; Sämann, Timo... - p. 383-394 , 2020

Link: https://doi.org/10.1007/..

7

Reverse Variational Autoencoder for Visual Attribute Manipu..:

, In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV),

Gauerhof, Lydia ; Gu, Nianlong - p. 2103-2112 , 2020

Link: https://doi.org/10.1109/..

8

Assuring the Safety of Machine Learning for Pedestrian Dete..:

, In: Lecture Notes in Computer Science; Computer Safety, Reliability, and Security,

Gauerhof, Lydia ; Hawkins, Richard ; Picardi, Chiara... - p. 197-212 , 2020

Link: https://doi.org/10.1007/..

9

Considering Reliability of Deep Learning Function to Boost ..:

, In: 2020 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW),

Gauerhof, Lydia ; Hagiwara, Yuki ; Schorn, Christoph. - p. 249-254 , 2020

Link: https://doi.org/10.1109/..

10

Intelligent and Connected Cyber-Physical Systems: A Perspec..:

, In: Intelligent Internet of Things,

Chang, Wanli ; Burton, Simon ; Lin, Chung-Wei... - p. 357-392 , 2020

Link: https://doi.org/10.1007/..

11

FACER: A Universal Framework for Detecting Anomalous Operat..:

, In: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC),

Schorn, Christoph ; Gauerhof, Lydia - p. 1-6 , 2020

Link: https://doi.org/10.1109/..

12

Confidence Arguments for Evidence of Performance in Machine..:

, In: Lecture Notes in Computer Science; Computer Safety, Reliability, and Security,

Burton, Simon ; Gauerhof, Lydia ; Sethy, Bibhuti Bhusan.. - p. 365-377 , 2019

Link: https://doi.org/10.1007/..

13

Ein Sicherheitsnachweis für Machine-Learning im Kontext de..:

, In: Aktive Sicherheit und automatisiertes Fahren / Prof. Dipl.-Ing. Klaus Kompaß und 40 Mitautoren

Burton, Simon ; Gauerhof, Lydia ; Buerkle, Lutz.. (2018) - p. 60-74

Copies: TB BHV: ver 70/116; Zentrale:E02 a ver 017.4/121

14

Structuring Validation Targets of a Machine Learning Functi..:

, In: Developments in Language Theory; Lecture Notes in Computer Science,

Gauerhof, Lydia ; Munk, Peter ; Burton, Simon - p. 45-58 , 2018

Link: https://doi.org/10.1007/..

15

Fault Injectors for TensorFlow: Evaluation of the Impact of..:

Beyer, Michael ; Morozov, Andrey ; Valiev, Emil...
http://arxiv.org/abs/2012.07037. , 2020

Link: http://arxiv.org/abs/201..