脚本语言
计算机科学
光学(聚焦)
软件工程
编码(集合论)
人工智能
机器学习
程序设计语言
物理
集合(抽象数据类型)
光学
作者
Paola do Nascimento Rodrigues Pereira,Carlos Gonçalves,Lara Lopes Nunes,Paulo Cortez,André Pilastri
标识
DOI:10.1145/3555776.3578740
摘要
Nowadays, the general interest in Machine Learning (ML) based solutions is increasing. However, to develop and deploy a ML solution often requires experience and it involves developing large code scripts. In this paper, we propose AI4CITY, an automated technological platform that aims to reduce the complexity of designing ML solutions, with a particular focus on Smart Cities applications. We compare our solution with popular Automated ML (AutoML) tools (e.g., H2O, AutoGluon) and the results achieved by AI4CITY were quite interesting and competitive.
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