Correction: Gerber, M.; Pillay, N. Automated Design of the Deep Neural Network Pipeline. Appl. Sci. 2022, 12, 12215
Department of Computer Science, University of Pretoria, Hatfield, Pretoria 0028, South Africa
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Appl. Sci. 2024, 14(5), 1897; https://doi.org/10.3390/app14051897
Submission received: 12 January 2024
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Accepted: 17 January 2024
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Published: 26 February 2024
The authors would like to make the following corrections to this published paper [1]. The changes are as follows:
In the original publication [1], Katerina Holan, who was involved in creating the ISU V1, ISU Rp1d and ISU Tilt datasets [2], was not acknowledged. After publication of the paper, the department requested that any use of the dataset acknowledge the person involved in creating the dataset. The added “Acknowledgements” section appears here.
The authors would like to thank Katerina Holan for taking the photographs as well as partially annotating the images used in the ISU V1, ISU Rp1d and ISU Tilt datasets [2].
There was an error in the original publication. The University of Pretoria (UP) Oral Images Dataset has not been made available online, and therefore reference [49] has been removed and reference [50] is cited instead, as the dataset is introduced in reference [50] as well. With this correction, the order of some references has been adjusted accordingly.
The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.
References
- Gerber, M.; Pillay, N. Automated Design of the Deep Neural Network Pipeline. Appl. Sci. 2022, 12, 12215. [Google Scholar] [CrossRef]
- Pillay, N.; Gerber, M.; Holan, K.; Whitham, S.A.; Berger, D.K. Quantifying the Severity of Common Rust in Maize Using Mask R-CNN. In Proceedings of the Artificial Intelligence and Soft Computing: 20th International Conference, ICAISC 2021, Virtual Event, 21–23 June 2021. Proceedings, Part I. [Google Scholar] [CrossRef]
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MDPI and ACS Style
Gerber, M.; Pillay, N. Correction: Gerber, M.; Pillay, N. Automated Design of the Deep Neural Network Pipeline. Appl. Sci. 2022, 12, 12215. Appl. Sci. 2024, 14, 1897. https://doi.org/10.3390/app14051897
AMA Style
Gerber M, Pillay N. Correction: Gerber, M.; Pillay, N. Automated Design of the Deep Neural Network Pipeline. Appl. Sci. 2022, 12, 12215. Applied Sciences. 2024; 14(5):1897. https://doi.org/10.3390/app14051897
Chicago/Turabian StyleGerber, Mia, and Nelishia Pillay. 2024. "Correction: Gerber, M.; Pillay, N. Automated Design of the Deep Neural Network Pipeline. Appl. Sci. 2022, 12, 12215" Applied Sciences 14, no. 5: 1897. https://doi.org/10.3390/app14051897
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