On Neural Networks Redundancy and Diversity for Their Use in Safety-Critical Systems

Author:

Brando Axel1ORCID,Serra Isabel1,Mezzetti Enrico1ORCID,Cazorla Francisco J.1ORCID,Perez-Cerrolaza Jon2ORCID,Abella Jaume1ORCID

Affiliation:

1. Barcelona Supercomputing Center, Barcelona, Spain

2. Ikerlan Technology Research Center, Arrasate-Mondragon, Spain

Funder

European Research Council

Horizon Europe Program

Spanish Ministry of Science and Innovation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Reference16 articles.

1. A survey on ensemble learning

2. Depth uncertainty in neural networks;antorán;Proc Adv Neural Inf Process Syst,0

3. The German Traffic Sign Recognition Benchmark: A multi-class classification competition

4. Generative Adversarial Active Learning for Unsupervised Outlier Detection

5. Rethinking importance weighting for deep learning under distribution shift;fang;Proc Adv Neural Inf Process Syst,0

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1. Safety-Relevant AI-Based System Robustification with Neural Network Ensembles;2024 IEEE 30th International Symposium on On-Line Testing and Robust System Design (IOLTS);2024-07-03

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