Correction: Gerber, M.; Pillay, N. Automated Design of the Deep Neural Network Pipeline. Appl. Sci. 2022, 12, 12215
Source abstract
Abstract
The authors would like to make the following corrections to this published paper [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Anomaly Detection Techniques and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Computer Science, University of Pretoria, Hatfield, Pretoria 0028, South Africa
Funding
National Research Foundation of South Africa
References (2)
Show source-provided references
1. Gerber, M., and Pillay, N. (2022). Automated Design of the Deep Neural Network Pipeline. Appl. Sci., 12.10.3390/app122312215 ↗
2. Pillay, N., Gerber, M., Holan, K., Whitham, S.A., and Berger, D.K. (2021, January 21–23). Quantifying the Severity of Common Rust in Maize Using Mask R-CNN. Proceedings of the Artificial Intelligence and Soft Computing: 20th International Conference, ICAISC 2021, Virtual Event. Proceedings, Part I.10.1007/978-3-030-87986-0_18 ↗