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Datasheets for Datasets - https://arxiv.org/abs/1803.09010
"Document [the dataset] motivation, composition, collection process, recommended uses, and so on. [They] have the potential to increase transparency and accountability within the machine learning community, mitigate unwanted biases in machine learning systems, facilitate greater reproducibility of machine learning results, and help researchers and practitioners select more appropriate datasets for their chosen tasks.''
The motivation behind the proposal was the electronics industry, where every component has a datasheet that describes its operating characteristics and recommended uses. In machine learning, data is the input for model training. Using the wrong dataset, or using a dataset outside of its original intent, or even not understanding well enough the limitations of a dataset, has dire consequences for the model. However, ``[d]espite the importance of data to machine learning, there is no standardized process for documenting machine learning datasets. To address this gap, we propose datasheets for datasets.''
This paper describes the use of the LATEX2e TRR.cls class file for setting papers to be submitted to Transportation Research Record: Journal of the Transportation Research Board, published by SAGE Publications: https://journals.sagepub.com/home/trr.
Unofficial template for a title page of a thesis report at the Swedish Agricultural University, SLU. This template follows the layout of the template posted for MSWord at the website of the university. In addition, this template supports logo for another institution or organisation.
VI EIC PIn - Ifal - Modelo projeto
Modelo de submissão de projeto para o VI Encontro de Iniciação Científica que ocorrerá de 30 de Novembro a 04 de Dezembro de 2020 de forma online promovido pelo Ifal Palmeira.