In this paper, we discuss R&R in the context of remote sensing and link the recent changes in the field to key barriers hindering R&R.
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Aug 9, 2024 · Reproducing and replicating research is key to understanding the credibility of studies and extending recent advances into new discoveries.
Nov 1, 2022 · Therefore, in this work, we reviewed and evaluated 62 journal and conference articles on MSA of buildings from different angles including scope, ...
Nov 15, 2022 · Instead, our goal is to outline and discuss the sources of reduced reproducibility and replicability in CNN-based DL research and workflows, ...
Aug 7, 2023 · Many issues can reduce the reproducibility and replicability of deep learning (DL) research and application in remote sensing, including the ...
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Nov 1, 2022 · This communication discusses key issues associated with convolutional neural network (CNN)-based DL in remote sensing for undertaking semantic segmentation.
We propose a badging system suited to the specifics of the Remote Sensing community. Such a system aims at both recognizing the level of the reproducibility of ...
Promoting and Enabling Reproducible Data Science Through a ...
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Jul 28, 2022 · In this report, we describe the Reproducibility Challenge that we organized at the University of Michigan to promote reproducible research in data science and ...
This chapter describes current and proposed efforts to improve reproducibility and replicability—or to reduce unhelpful sources of non-replicability ...
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[PDF] Repeatability, Reproducibility, Replicability, Reusability (4R ... - HAL
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Dec 7, 2023 · They also enable detailed documentation and workflow sharing with other researchers, thus helping improve the reproducibility of results and.