Bias in Deep Neural Networks in Land Use Characterization for International Development
Understanding the biases in Deep Neural Networks (DNN) based algorithms is gaining paramount importance due to its increased applications on many real-world problems. A known problem of DNN penalizing the underrepresented population could undermine the efficacy of development projects dependent on d...
| Main Authors: | , , , , , , , , |
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| 格式: | 文件 |
| 语言: | English |
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MDPI AG
2021-07-01
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| 丛编: | Remote Sensing |
| 主题: | |
| 在线阅读: | https://www.mdpi.com/2072-4292/13/15/2908 |